mirror of
https://github.com/postgres/postgres.git
synced 2025-05-12 16:21:30 +03:00
3817 lines
90 KiB
C
3817 lines
90 KiB
C
/**********************************************************************
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* plpython.c - python as a procedural language for PostgreSQL
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*
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* src/pl/plpython/plpython.c
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*
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*********************************************************************
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*/
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#if defined(_MSC_VER) && defined(_DEBUG)
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/* Python uses #pragma to bring in a non-default libpython on VC++ if
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* _DEBUG is defined */
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#undef _DEBUG
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/* Also hide away errcode, since we load Python.h before postgres.h */
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#define errcode __msvc_errcode
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#include <Python.h>
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#undef errcode
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#define _DEBUG
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#elif defined (_MSC_VER)
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#define errcode __msvc_errcode
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#include <Python.h>
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#undef errcode
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#else
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#include <Python.h>
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#endif
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/*
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* Py_ssize_t compat for Python <= 2.4
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*/
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#if PY_VERSION_HEX < 0x02050000 && !defined(PY_SSIZE_T_MIN)
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typedef int Py_ssize_t;
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#define PY_SSIZE_T_MAX INT_MAX
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#define PY_SSIZE_T_MIN INT_MIN
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#endif
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/*
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* PyBool_FromLong is supported from 2.3.
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*/
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#if PY_VERSION_HEX < 0x02030000
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#define PyBool_FromLong(x) PyInt_FromLong(x)
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#endif
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/*
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* Python 2/3 strings/unicode/bytes handling. Python 2 has strings
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* and unicode, Python 3 has strings, which are unicode on the C
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* level, and bytes. The porting convention, which is similarly used
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* in Python 2.6, is that "Unicode" is always unicode, and "Bytes" are
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* bytes in Python 3 and strings in Python 2. Since we keep
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* supporting Python 2 and its usual strings, we provide a
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* compatibility layer for Python 3 that when asked to convert a C
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* string to a Python string it converts the C string from the
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* PostgreSQL server encoding to a Python Unicode object.
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*/
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#if PY_VERSION_HEX < 0x02060000
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/* This is exactly the compatibility layer that Python 2.6 uses. */
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#define PyBytes_AsString PyString_AsString
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#define PyBytes_FromStringAndSize PyString_FromStringAndSize
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#define PyBytes_Size PyString_Size
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#define PyObject_Bytes PyObject_Str
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyString_Check(x) 0
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#define PyString_AsString(x) PLyUnicode_AsString(x)
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#define PyString_FromString(x) PLyUnicode_FromString(x)
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#endif
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/*
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* Python 3 only has long.
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*/
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#if PY_MAJOR_VERSION >= 3
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#define PyInt_FromLong(x) PyLong_FromLong(x)
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#endif
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/*
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* PyVarObject_HEAD_INIT was added in Python 2.6. Its use is
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* necessary to handle both Python 2 and 3. This replacement
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* definition is for Python <=2.5
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*/
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#ifndef PyVarObject_HEAD_INIT
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#define PyVarObject_HEAD_INIT(type, size) \
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PyObject_HEAD_INIT(type) size,
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#endif
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#include "postgres.h"
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/* system stuff */
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#include <unistd.h>
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#include <fcntl.h>
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/* postgreSQL stuff */
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#include "catalog/pg_proc.h"
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#include "catalog/pg_type.h"
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#include "commands/trigger.h"
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#include "executor/spi.h"
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#include "funcapi.h"
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#include "fmgr.h"
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#include "mb/pg_wchar.h"
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#include "miscadmin.h"
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#include "nodes/makefuncs.h"
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#include "parser/parse_type.h"
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#include "tcop/tcopprot.h"
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#include "utils/builtins.h"
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#include "utils/hsearch.h"
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#include "utils/lsyscache.h"
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#include "utils/memutils.h"
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#include "utils/syscache.h"
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#include "utils/typcache.h"
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/* define our text domain for translations */
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#undef TEXTDOMAIN
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#define TEXTDOMAIN PG_TEXTDOMAIN("plpython")
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#include <compile.h>
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#include <eval.h>
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PG_MODULE_MAGIC;
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/* convert Postgresql Datum or tuple into a PyObject.
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* input to Python. Tuples are converted to dictionary
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* objects.
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*/
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struct PLyDatumToOb;
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typedef PyObject *(*PLyDatumToObFunc) (struct PLyDatumToOb *, Datum);
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typedef struct PLyDatumToOb
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{
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PLyDatumToObFunc func;
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FmgrInfo typfunc; /* The type's output function */
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Oid typoid; /* The OID of the type */
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Oid typioparam;
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bool typbyval;
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int16 typlen;
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char typalign;
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struct PLyDatumToOb *elm;
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} PLyDatumToOb;
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typedef struct PLyTupleToOb
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{
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PLyDatumToOb *atts;
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int natts;
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} PLyTupleToOb;
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typedef union PLyTypeInput
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{
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PLyDatumToOb d;
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PLyTupleToOb r;
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} PLyTypeInput;
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/* convert PyObject to a Postgresql Datum or tuple.
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* output from Python
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*/
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struct PLyObToDatum;
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typedef Datum (*PLyObToDatumFunc) (struct PLyObToDatum *, int32 typmod,
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PyObject *);
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typedef struct PLyObToDatum
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{
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PLyObToDatumFunc func;
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FmgrInfo typfunc; /* The type's input function */
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Oid typoid; /* The OID of the type */
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Oid typioparam;
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bool typbyval;
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int16 typlen;
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char typalign;
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struct PLyObToDatum *elm;
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} PLyObToDatum;
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typedef struct PLyObToTuple
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{
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PLyObToDatum *atts;
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int natts;
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} PLyObToTuple;
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typedef union PLyTypeOutput
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{
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PLyObToDatum d;
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PLyObToTuple r;
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} PLyTypeOutput;
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/* all we need to move Postgresql data to Python objects,
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* and vice versa
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*/
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typedef struct PLyTypeInfo
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{
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PLyTypeInput in;
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PLyTypeOutput out;
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/*
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* is_rowtype can be: -1 = not known yet (initial state); 0 = scalar
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* datatype; 1 = rowtype; 2 = rowtype, but I/O functions not set up yet
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*/
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int is_rowtype;
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} PLyTypeInfo;
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/* cached procedure data */
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typedef struct PLyProcedure
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{
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char *proname; /* SQL name of procedure */
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char *pyname; /* Python name of procedure */
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TransactionId fn_xmin;
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ItemPointerData fn_tid;
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bool fn_readonly;
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PLyTypeInfo result; /* also used to store info for trigger tuple
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* type */
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bool is_setof; /* true, if procedure returns result set */
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PyObject *setof; /* contents of result set. */
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char **argnames; /* Argument names */
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PLyTypeInfo args[FUNC_MAX_ARGS];
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int nargs;
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PyObject *code; /* compiled procedure code */
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PyObject *statics; /* data saved across calls, local scope */
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PyObject *globals; /* data saved across calls, global scope */
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} PLyProcedure;
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/* the procedure cache entry */
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typedef struct PLyProcedureEntry
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{
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Oid fn_oid; /* hash key */
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PLyProcedure *proc;
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} PLyProcedureEntry;
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/* Python objects */
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typedef struct PLyPlanObject
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{
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PyObject_HEAD
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void *plan; /* return of an SPI_saveplan */
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int nargs;
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Oid *types;
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Datum *values;
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PLyTypeInfo *args;
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} PLyPlanObject;
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typedef struct PLyResultObject
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{
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PyObject_HEAD
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/* HeapTuple *tuples; */
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PyObject *nrows; /* number of rows returned by query */
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PyObject *rows; /* data rows, or None if no data returned */
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PyObject *status; /* query status, SPI_OK_*, or SPI_ERR_* */
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} PLyResultObject;
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/* function declarations */
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#if PY_MAJOR_VERSION >= 3
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/* Use separate names to avoid clash in pg_pltemplate */
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#define plpython_call_handler plpython3_call_handler
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#define plpython_inline_handler plpython3_inline_handler
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#endif
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/* exported functions */
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Datum plpython_call_handler(PG_FUNCTION_ARGS);
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Datum plpython_inline_handler(PG_FUNCTION_ARGS);
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void _PG_init(void);
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PG_FUNCTION_INFO_V1(plpython_call_handler);
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PG_FUNCTION_INFO_V1(plpython_inline_handler);
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/* most of the remaining of the declarations, all static */
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/*
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* These should only be called once from _PG_init. Initialize the
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* Python interpreter and global data.
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*/
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static void PLy_init_interp(void);
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static void PLy_init_plpy(void);
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/* call PyErr_SetString with a vprint interface and translation support */
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static void
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PLy_exception_set(PyObject *, const char *,...)
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__attribute__((format(printf, 2, 3)));
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/* same, with pluralized message */
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static void
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PLy_exception_set_plural(PyObject *, const char *, const char *,
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unsigned long n,...)
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__attribute__((format(printf, 2, 5)))
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__attribute__((format(printf, 3, 5)));
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/* Get the innermost python procedure called from the backend */
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static char *PLy_procedure_name(PLyProcedure *);
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/* some utility functions */
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static void
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PLy_elog(int, const char *,...)
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__attribute__((format(printf, 2, 3)));
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static char *PLy_traceback(int *);
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static void *PLy_malloc(size_t);
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static void *PLy_malloc0(size_t);
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static char *PLy_strdup(const char *);
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static void PLy_free(void *);
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static PyObject *PLyUnicode_Bytes(PyObject *unicode);
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static char *PLyUnicode_AsString(PyObject *unicode);
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#if PY_MAJOR_VERSION >= 3
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static PyObject *PLyUnicode_FromString(const char *s);
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#endif
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/* sub handlers for functions and triggers */
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static Datum PLy_function_handler(FunctionCallInfo fcinfo, PLyProcedure *);
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static HeapTuple PLy_trigger_handler(FunctionCallInfo fcinfo, PLyProcedure *);
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static PyObject *PLy_function_build_args(FunctionCallInfo fcinfo, PLyProcedure *);
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static void PLy_function_delete_args(PLyProcedure *);
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static PyObject *PLy_trigger_build_args(FunctionCallInfo fcinfo, PLyProcedure *,
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HeapTuple *);
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static HeapTuple PLy_modify_tuple(PLyProcedure *, PyObject *,
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TriggerData *, HeapTuple);
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static PyObject *PLy_procedure_call(PLyProcedure *, char *, PyObject *);
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static PLyProcedure *PLy_procedure_get(Oid fn_oid, bool is_trigger);
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static PLyProcedure *PLy_procedure_create(HeapTuple procTup,
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Oid fn_oid, bool is_trigger);
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static void PLy_procedure_compile(PLyProcedure *, const char *);
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static char *PLy_procedure_munge_source(const char *, const char *);
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static void PLy_procedure_delete(PLyProcedure *);
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static void PLy_typeinfo_init(PLyTypeInfo *);
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static void PLy_typeinfo_dealloc(PLyTypeInfo *);
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static void PLy_output_datum_func(PLyTypeInfo *, HeapTuple);
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static void PLy_output_datum_func2(PLyObToDatum *, HeapTuple);
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static void PLy_input_datum_func(PLyTypeInfo *, Oid, HeapTuple);
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static void PLy_input_datum_func2(PLyDatumToOb *, Oid, HeapTuple);
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static void PLy_output_tuple_funcs(PLyTypeInfo *, TupleDesc);
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static void PLy_input_tuple_funcs(PLyTypeInfo *, TupleDesc);
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/* conversion functions */
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static PyObject *PLyBool_FromBool(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyFloat_FromFloat4(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyFloat_FromFloat8(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyFloat_FromNumeric(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyInt_FromInt16(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyInt_FromInt32(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyLong_FromInt64(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyBytes_FromBytea(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyString_FromDatum(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyList_FromArray(PLyDatumToOb *arg, Datum d);
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static PyObject *PLyDict_FromTuple(PLyTypeInfo *, HeapTuple, TupleDesc);
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static Datum PLyObject_ToBool(PLyObToDatum *, int32, PyObject *);
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static Datum PLyObject_ToBytea(PLyObToDatum *, int32, PyObject *);
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static Datum PLyObject_ToDatum(PLyObToDatum *, int32, PyObject *);
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static Datum PLySequence_ToArray(PLyObToDatum *, int32, PyObject *);
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static HeapTuple PLyMapping_ToTuple(PLyTypeInfo *, PyObject *);
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static HeapTuple PLySequence_ToTuple(PLyTypeInfo *, PyObject *);
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static HeapTuple PLyObject_ToTuple(PLyTypeInfo *, PyObject *);
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/*
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* Currently active plpython function
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*/
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static PLyProcedure *PLy_curr_procedure = NULL;
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/*
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* When a callback from Python into PG incurs an error, we temporarily store
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* the error information here, and return NULL to the Python interpreter.
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* Any further callback attempts immediately fail, and when the Python
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* interpreter returns to the calling function, we re-throw the error (even if
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* Python thinks it trapped the error and doesn't return NULL). Eventually
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* this ought to be improved to let Python code really truly trap the error,
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* but that's more of a change from the pre-8.0 semantics than I have time for
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* now --- it will only be possible if the callback query is executed inside a
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* subtransaction.
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*/
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static ErrorData *PLy_error_in_progress = NULL;
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static PyObject *PLy_interp_globals = NULL;
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static PyObject *PLy_interp_safe_globals = NULL;
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static HTAB *PLy_procedure_cache = NULL;
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static HTAB *PLy_trigger_cache = NULL;
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/* Python exceptions */
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static PyObject *PLy_exc_error = NULL;
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static PyObject *PLy_exc_fatal = NULL;
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static PyObject *PLy_exc_spi_error = NULL;
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/* some globals for the python module */
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static char PLy_plan_doc[] = {
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"Store a PostgreSQL plan"
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};
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static char PLy_result_doc[] = {
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"Results of a PostgreSQL query"
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};
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/*
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* the function definitions
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*/
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/*
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* This routine is a crock, and so is everyplace that calls it. The problem
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* is that the cached form of plpython functions/queries is allocated permanently
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* (mostly via malloc()) and never released until backend exit. Subsidiary
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* data structures such as fmgr info records therefore must live forever
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* as well. A better implementation would store all this stuff in a per-
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* function memory context that could be reclaimed at need. In the meantime,
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* fmgr_info_cxt must be called specifying TopMemoryContext so that whatever
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* it might allocate, and whatever the eventual function might allocate using
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* fn_mcxt, will live forever too.
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*/
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static void
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perm_fmgr_info(Oid functionId, FmgrInfo *finfo)
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{
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fmgr_info_cxt(functionId, finfo, TopMemoryContext);
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}
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static void
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plpython_error_callback(void *arg)
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{
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if (PLy_curr_procedure)
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errcontext("PL/Python function \"%s\"",
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PLy_procedure_name(PLy_curr_procedure));
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}
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static void
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plpython_inline_error_callback(void *arg)
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{
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errcontext("PL/Python anonymous code block");
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}
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static void
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plpython_trigger_error_callback(void *arg)
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{
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if (PLy_curr_procedure)
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errcontext("while modifying trigger row");
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}
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static void
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plpython_return_error_callback(void *arg)
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{
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if (PLy_curr_procedure)
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errcontext("while creating return value");
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}
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Datum
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plpython_call_handler(PG_FUNCTION_ARGS)
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{
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Datum retval;
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PLyProcedure *save_curr_proc;
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ErrorContextCallback plerrcontext;
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if (SPI_connect() != SPI_OK_CONNECT)
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elog(ERROR, "SPI_connect failed");
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save_curr_proc = PLy_curr_procedure;
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/*
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* Setup error traceback support for ereport()
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*/
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plerrcontext.callback = plpython_error_callback;
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plerrcontext.previous = error_context_stack;
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error_context_stack = &plerrcontext;
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PG_TRY();
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{
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PLyProcedure *proc;
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if (CALLED_AS_TRIGGER(fcinfo))
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{
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HeapTuple trv;
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proc = PLy_procedure_get(fcinfo->flinfo->fn_oid, true);
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PLy_curr_procedure = proc;
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trv = PLy_trigger_handler(fcinfo, proc);
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retval = PointerGetDatum(trv);
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}
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else
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{
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proc = PLy_procedure_get(fcinfo->flinfo->fn_oid, false);
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PLy_curr_procedure = proc;
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retval = PLy_function_handler(fcinfo, proc);
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}
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}
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PG_CATCH();
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{
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PLy_curr_procedure = save_curr_proc;
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PyErr_Clear();
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PG_RE_THROW();
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}
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PG_END_TRY();
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/* Pop the error context stack */
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error_context_stack = plerrcontext.previous;
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PLy_curr_procedure = save_curr_proc;
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return retval;
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}
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Datum
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plpython_inline_handler(PG_FUNCTION_ARGS)
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{
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InlineCodeBlock *codeblock = (InlineCodeBlock *) DatumGetPointer(PG_GETARG_DATUM(0));
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FunctionCallInfoData fake_fcinfo;
|
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FmgrInfo flinfo;
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PLyProcedure *save_curr_proc;
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PLyProcedure *volatile proc = NULL;
|
|
ErrorContextCallback plerrcontext;
|
|
|
|
if (SPI_connect() != SPI_OK_CONNECT)
|
|
elog(ERROR, "SPI_connect failed");
|
|
|
|
save_curr_proc = PLy_curr_procedure;
|
|
|
|
/*
|
|
* Setup error traceback support for ereport()
|
|
*/
|
|
plerrcontext.callback = plpython_inline_error_callback;
|
|
plerrcontext.previous = error_context_stack;
|
|
error_context_stack = &plerrcontext;
|
|
|
|
MemSet(&fake_fcinfo, 0, sizeof(fake_fcinfo));
|
|
MemSet(&flinfo, 0, sizeof(flinfo));
|
|
fake_fcinfo.flinfo = &flinfo;
|
|
flinfo.fn_oid = InvalidOid;
|
|
flinfo.fn_mcxt = CurrentMemoryContext;
|
|
|
|
proc = PLy_malloc0(sizeof(PLyProcedure));
|
|
proc->pyname = PLy_strdup("__plpython_inline_block");
|
|
proc->result.out.d.typoid = VOIDOID;
|
|
|
|
PG_TRY();
|
|
{
|
|
PLy_procedure_compile(proc, codeblock->source_text);
|
|
PLy_curr_procedure = proc;
|
|
PLy_function_handler(&fake_fcinfo, proc);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
PLy_procedure_delete(proc);
|
|
PLy_curr_procedure = save_curr_proc;
|
|
PyErr_Clear();
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
PLy_procedure_delete(proc);
|
|
|
|
/* Pop the error context stack */
|
|
error_context_stack = plerrcontext.previous;
|
|
|
|
PLy_curr_procedure = save_curr_proc;
|
|
|
|
PG_RETURN_VOID();
|
|
}
|
|
|
|
/* trigger and function sub handlers
|
|
*
|
|
* the python function is expected to return Py_None if the tuple is
|
|
* acceptable and unmodified. Otherwise it should return a PyString
|
|
* object who's value is SKIP, or MODIFY. SKIP means don't perform
|
|
* this action. MODIFY means the tuple has been modified, so update
|
|
* tuple and perform action. SKIP and MODIFY assume the trigger fires
|
|
* BEFORE the event and is ROW level. postgres expects the function
|
|
* to take no arguments and return an argument of type trigger.
|
|
*/
|
|
static HeapTuple
|
|
PLy_trigger_handler(FunctionCallInfo fcinfo, PLyProcedure *proc)
|
|
{
|
|
HeapTuple rv = NULL;
|
|
PyObject *volatile plargs = NULL;
|
|
PyObject *volatile plrv = NULL;
|
|
TriggerData *tdata;
|
|
|
|
Assert(CALLED_AS_TRIGGER(fcinfo));
|
|
|
|
/*
|
|
* Input/output conversion for trigger tuples. Use the result
|
|
* TypeInfo variable to store the tuple conversion info. We do
|
|
* this over again on each call to cover the possibility that the
|
|
* relation's tupdesc changed since the trigger was last called.
|
|
* PLy_input_tuple_funcs and PLy_output_tuple_funcs are
|
|
* responsible for not doing repetitive work.
|
|
*/
|
|
tdata = (TriggerData *) fcinfo->context;
|
|
|
|
PLy_input_tuple_funcs(&(proc->result), tdata->tg_relation->rd_att);
|
|
PLy_output_tuple_funcs(&(proc->result), tdata->tg_relation->rd_att);
|
|
|
|
PG_TRY();
|
|
{
|
|
plargs = PLy_trigger_build_args(fcinfo, proc, &rv);
|
|
plrv = PLy_procedure_call(proc, "TD", plargs);
|
|
|
|
Assert(plrv != NULL);
|
|
Assert(!PLy_error_in_progress);
|
|
|
|
/*
|
|
* Disconnect from SPI manager
|
|
*/
|
|
if (SPI_finish() != SPI_OK_FINISH)
|
|
elog(ERROR, "SPI_finish failed");
|
|
|
|
/*
|
|
* return of None means we're happy with the tuple
|
|
*/
|
|
if (plrv != Py_None)
|
|
{
|
|
char *srv;
|
|
|
|
if (PyString_Check(plrv))
|
|
srv = PyString_AsString(plrv);
|
|
else if (PyUnicode_Check(plrv))
|
|
srv = PLyUnicode_AsString(plrv);
|
|
else
|
|
{
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATA_EXCEPTION),
|
|
errmsg("unexpected return value from trigger procedure"),
|
|
errdetail("Expected None or a string.")));
|
|
srv = NULL; /* keep compiler quiet */
|
|
}
|
|
|
|
if (pg_strcasecmp(srv, "SKIP") == 0)
|
|
rv = NULL;
|
|
else if (pg_strcasecmp(srv, "MODIFY") == 0)
|
|
{
|
|
TriggerData *tdata = (TriggerData *) fcinfo->context;
|
|
|
|
if (TRIGGER_FIRED_BY_INSERT(tdata->tg_event) ||
|
|
TRIGGER_FIRED_BY_UPDATE(tdata->tg_event))
|
|
rv = PLy_modify_tuple(proc, plargs, tdata, rv);
|
|
else
|
|
ereport(WARNING,
|
|
(errmsg("PL/Python trigger function returned \"MODIFY\" in a DELETE trigger -- ignored")));
|
|
}
|
|
else if (pg_strcasecmp(srv, "OK") != 0)
|
|
{
|
|
/*
|
|
* accept "OK" as an alternative to None; otherwise, raise an
|
|
* error
|
|
*/
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATA_EXCEPTION),
|
|
errmsg("unexpected return value from trigger procedure"),
|
|
errdetail("Expected None, \"OK\", \"SKIP\", or \"MODIFY\".")));
|
|
}
|
|
}
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(plargs);
|
|
Py_XDECREF(plrv);
|
|
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
Py_DECREF(plargs);
|
|
Py_DECREF(plrv);
|
|
|
|
return rv;
|
|
}
|
|
|
|
static HeapTuple
|
|
PLy_modify_tuple(PLyProcedure *proc, PyObject *pltd, TriggerData *tdata,
|
|
HeapTuple otup)
|
|
{
|
|
PyObject *volatile plntup;
|
|
PyObject *volatile plkeys;
|
|
PyObject *volatile platt;
|
|
PyObject *volatile plval;
|
|
PyObject *volatile plstr;
|
|
HeapTuple rtup;
|
|
int natts,
|
|
i,
|
|
attn,
|
|
atti;
|
|
int *volatile modattrs;
|
|
Datum *volatile modvalues;
|
|
char *volatile modnulls;
|
|
TupleDesc tupdesc;
|
|
ErrorContextCallback plerrcontext;
|
|
|
|
plerrcontext.callback = plpython_trigger_error_callback;
|
|
plerrcontext.previous = error_context_stack;
|
|
error_context_stack = &plerrcontext;
|
|
|
|
plntup = plkeys = platt = plval = plstr = NULL;
|
|
modattrs = NULL;
|
|
modvalues = NULL;
|
|
modnulls = NULL;
|
|
|
|
PG_TRY();
|
|
{
|
|
if ((plntup = PyDict_GetItemString(pltd, "new")) == NULL)
|
|
ereport(ERROR,
|
|
(errmsg("TD[\"new\"] deleted, cannot modify row")));
|
|
if (!PyDict_Check(plntup))
|
|
ereport(ERROR,
|
|
(errmsg("TD[\"new\"] is not a dictionary")));
|
|
Py_INCREF(plntup);
|
|
|
|
plkeys = PyDict_Keys(plntup);
|
|
natts = PyList_Size(plkeys);
|
|
|
|
modattrs = (int *) palloc(natts * sizeof(int));
|
|
modvalues = (Datum *) palloc(natts * sizeof(Datum));
|
|
modnulls = (char *) palloc(natts * sizeof(char));
|
|
|
|
tupdesc = tdata->tg_relation->rd_att;
|
|
|
|
for (i = 0; i < natts; i++)
|
|
{
|
|
char *plattstr;
|
|
|
|
platt = PyList_GetItem(plkeys, i);
|
|
if (PyString_Check(platt))
|
|
plattstr = PyString_AsString(platt);
|
|
else if (PyUnicode_Check(platt))
|
|
plattstr = PLyUnicode_AsString(platt);
|
|
else
|
|
{
|
|
ereport(ERROR,
|
|
(errmsg("TD[\"new\"] dictionary key at ordinal position %d is not a string", i)));
|
|
plattstr = NULL; /* keep compiler quiet */
|
|
}
|
|
attn = SPI_fnumber(tupdesc, plattstr);
|
|
if (attn == SPI_ERROR_NOATTRIBUTE)
|
|
ereport(ERROR,
|
|
(errmsg("key \"%s\" found in TD[\"new\"] does not exist as a column in the triggering row",
|
|
plattstr)));
|
|
atti = attn - 1;
|
|
|
|
plval = PyDict_GetItem(plntup, platt);
|
|
if (plval == NULL)
|
|
elog(FATAL, "Python interpreter is probably corrupted");
|
|
|
|
Py_INCREF(plval);
|
|
|
|
modattrs[i] = attn;
|
|
|
|
if (tupdesc->attrs[atti]->attisdropped)
|
|
{
|
|
modvalues[i] = (Datum) 0;
|
|
modnulls[i] = 'n';
|
|
}
|
|
else if (plval != Py_None)
|
|
{
|
|
PLyObToDatum *att = &proc->result.out.r.atts[atti];
|
|
|
|
modvalues[i] = (att->func) (att,
|
|
tupdesc->attrs[atti]->atttypmod,
|
|
plval);
|
|
modnulls[i] = ' ';
|
|
}
|
|
else
|
|
{
|
|
modvalues[i] =
|
|
InputFunctionCall(&proc->result.out.r.atts[atti].typfunc,
|
|
NULL,
|
|
proc->result.out.r.atts[atti].typioparam,
|
|
tupdesc->attrs[atti]->atttypmod);
|
|
modnulls[i] = 'n';
|
|
}
|
|
|
|
Py_DECREF(plval);
|
|
plval = NULL;
|
|
}
|
|
|
|
rtup = SPI_modifytuple(tdata->tg_relation, otup, natts,
|
|
modattrs, modvalues, modnulls);
|
|
if (rtup == NULL)
|
|
elog(ERROR, "SPI_modifytuple failed: error %d", SPI_result);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(plntup);
|
|
Py_XDECREF(plkeys);
|
|
Py_XDECREF(plval);
|
|
Py_XDECREF(plstr);
|
|
|
|
if (modnulls)
|
|
pfree(modnulls);
|
|
if (modvalues)
|
|
pfree(modvalues);
|
|
if (modattrs)
|
|
pfree(modattrs);
|
|
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
Py_DECREF(plntup);
|
|
Py_DECREF(plkeys);
|
|
|
|
pfree(modattrs);
|
|
pfree(modvalues);
|
|
pfree(modnulls);
|
|
|
|
error_context_stack = plerrcontext.previous;
|
|
|
|
return rtup;
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_trigger_build_args(FunctionCallInfo fcinfo, PLyProcedure *proc, HeapTuple *rv)
|
|
{
|
|
TriggerData *tdata = (TriggerData *) fcinfo->context;
|
|
PyObject *pltname,
|
|
*pltevent,
|
|
*pltwhen,
|
|
*pltlevel,
|
|
*pltrelid,
|
|
*plttablename,
|
|
*plttableschema;
|
|
PyObject *pltargs,
|
|
*pytnew,
|
|
*pytold;
|
|
PyObject *volatile pltdata = NULL;
|
|
char *stroid;
|
|
|
|
PG_TRY();
|
|
{
|
|
pltdata = PyDict_New();
|
|
if (!pltdata)
|
|
PLy_elog(ERROR, "could not create new dictionary while building trigger arguments");
|
|
|
|
pltname = PyString_FromString(tdata->tg_trigger->tgname);
|
|
PyDict_SetItemString(pltdata, "name", pltname);
|
|
Py_DECREF(pltname);
|
|
|
|
stroid = DatumGetCString(DirectFunctionCall1(oidout,
|
|
ObjectIdGetDatum(tdata->tg_relation->rd_id)));
|
|
pltrelid = PyString_FromString(stroid);
|
|
PyDict_SetItemString(pltdata, "relid", pltrelid);
|
|
Py_DECREF(pltrelid);
|
|
pfree(stroid);
|
|
|
|
stroid = SPI_getrelname(tdata->tg_relation);
|
|
plttablename = PyString_FromString(stroid);
|
|
PyDict_SetItemString(pltdata, "table_name", plttablename);
|
|
Py_DECREF(plttablename);
|
|
pfree(stroid);
|
|
|
|
stroid = SPI_getnspname(tdata->tg_relation);
|
|
plttableschema = PyString_FromString(stroid);
|
|
PyDict_SetItemString(pltdata, "table_schema", plttableschema);
|
|
Py_DECREF(plttableschema);
|
|
pfree(stroid);
|
|
|
|
if (TRIGGER_FIRED_BEFORE(tdata->tg_event))
|
|
pltwhen = PyString_FromString("BEFORE");
|
|
else if (TRIGGER_FIRED_AFTER(tdata->tg_event))
|
|
pltwhen = PyString_FromString("AFTER");
|
|
else if (TRIGGER_FIRED_INSTEAD(tdata->tg_event))
|
|
pltwhen = PyString_FromString("INSTEAD OF");
|
|
else
|
|
{
|
|
elog(ERROR, "unrecognized WHEN tg_event: %u", tdata->tg_event);
|
|
pltwhen = NULL; /* keep compiler quiet */
|
|
}
|
|
PyDict_SetItemString(pltdata, "when", pltwhen);
|
|
Py_DECREF(pltwhen);
|
|
|
|
if (TRIGGER_FIRED_FOR_ROW(tdata->tg_event))
|
|
{
|
|
pltlevel = PyString_FromString("ROW");
|
|
PyDict_SetItemString(pltdata, "level", pltlevel);
|
|
Py_DECREF(pltlevel);
|
|
|
|
if (TRIGGER_FIRED_BY_INSERT(tdata->tg_event))
|
|
{
|
|
pltevent = PyString_FromString("INSERT");
|
|
|
|
PyDict_SetItemString(pltdata, "old", Py_None);
|
|
pytnew = PLyDict_FromTuple(&(proc->result), tdata->tg_trigtuple,
|
|
tdata->tg_relation->rd_att);
|
|
PyDict_SetItemString(pltdata, "new", pytnew);
|
|
Py_DECREF(pytnew);
|
|
*rv = tdata->tg_trigtuple;
|
|
}
|
|
else if (TRIGGER_FIRED_BY_DELETE(tdata->tg_event))
|
|
{
|
|
pltevent = PyString_FromString("DELETE");
|
|
|
|
PyDict_SetItemString(pltdata, "new", Py_None);
|
|
pytold = PLyDict_FromTuple(&(proc->result), tdata->tg_trigtuple,
|
|
tdata->tg_relation->rd_att);
|
|
PyDict_SetItemString(pltdata, "old", pytold);
|
|
Py_DECREF(pytold);
|
|
*rv = tdata->tg_trigtuple;
|
|
}
|
|
else if (TRIGGER_FIRED_BY_UPDATE(tdata->tg_event))
|
|
{
|
|
pltevent = PyString_FromString("UPDATE");
|
|
|
|
pytnew = PLyDict_FromTuple(&(proc->result), tdata->tg_newtuple,
|
|
tdata->tg_relation->rd_att);
|
|
PyDict_SetItemString(pltdata, "new", pytnew);
|
|
Py_DECREF(pytnew);
|
|
pytold = PLyDict_FromTuple(&(proc->result), tdata->tg_trigtuple,
|
|
tdata->tg_relation->rd_att);
|
|
PyDict_SetItemString(pltdata, "old", pytold);
|
|
Py_DECREF(pytold);
|
|
*rv = tdata->tg_newtuple;
|
|
}
|
|
else
|
|
{
|
|
elog(ERROR, "unrecognized OP tg_event: %u", tdata->tg_event);
|
|
pltevent = NULL; /* keep compiler quiet */
|
|
}
|
|
|
|
PyDict_SetItemString(pltdata, "event", pltevent);
|
|
Py_DECREF(pltevent);
|
|
}
|
|
else if (TRIGGER_FIRED_FOR_STATEMENT(tdata->tg_event))
|
|
{
|
|
pltlevel = PyString_FromString("STATEMENT");
|
|
PyDict_SetItemString(pltdata, "level", pltlevel);
|
|
Py_DECREF(pltlevel);
|
|
|
|
PyDict_SetItemString(pltdata, "old", Py_None);
|
|
PyDict_SetItemString(pltdata, "new", Py_None);
|
|
*rv = NULL;
|
|
|
|
if (TRIGGER_FIRED_BY_INSERT(tdata->tg_event))
|
|
pltevent = PyString_FromString("INSERT");
|
|
else if (TRIGGER_FIRED_BY_DELETE(tdata->tg_event))
|
|
pltevent = PyString_FromString("DELETE");
|
|
else if (TRIGGER_FIRED_BY_UPDATE(tdata->tg_event))
|
|
pltevent = PyString_FromString("UPDATE");
|
|
else if (TRIGGER_FIRED_BY_TRUNCATE(tdata->tg_event))
|
|
pltevent = PyString_FromString("TRUNCATE");
|
|
else
|
|
{
|
|
elog(ERROR, "unrecognized OP tg_event: %u", tdata->tg_event);
|
|
pltevent = NULL; /* keep compiler quiet */
|
|
}
|
|
|
|
PyDict_SetItemString(pltdata, "event", pltevent);
|
|
Py_DECREF(pltevent);
|
|
}
|
|
else
|
|
elog(ERROR, "unrecognized LEVEL tg_event: %u", tdata->tg_event);
|
|
|
|
if (tdata->tg_trigger->tgnargs)
|
|
{
|
|
/*
|
|
* all strings...
|
|
*/
|
|
int i;
|
|
PyObject *pltarg;
|
|
|
|
pltargs = PyList_New(tdata->tg_trigger->tgnargs);
|
|
for (i = 0; i < tdata->tg_trigger->tgnargs; i++)
|
|
{
|
|
pltarg = PyString_FromString(tdata->tg_trigger->tgargs[i]);
|
|
|
|
/*
|
|
* stolen, don't Py_DECREF
|
|
*/
|
|
PyList_SetItem(pltargs, i, pltarg);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
Py_INCREF(Py_None);
|
|
pltargs = Py_None;
|
|
}
|
|
PyDict_SetItemString(pltdata, "args", pltargs);
|
|
Py_DECREF(pltargs);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(pltdata);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
return pltdata;
|
|
}
|
|
|
|
|
|
|
|
/* function handler and friends */
|
|
static Datum
|
|
PLy_function_handler(FunctionCallInfo fcinfo, PLyProcedure *proc)
|
|
{
|
|
Datum rv;
|
|
PyObject *volatile plargs = NULL;
|
|
PyObject *volatile plrv = NULL;
|
|
ErrorContextCallback plerrcontext;
|
|
|
|
PG_TRY();
|
|
{
|
|
if (!proc->is_setof || proc->setof == NULL)
|
|
{
|
|
/*
|
|
* Simple type returning function or first time for SETOF function:
|
|
* actually execute the function.
|
|
*/
|
|
plargs = PLy_function_build_args(fcinfo, proc);
|
|
plrv = PLy_procedure_call(proc, "args", plargs);
|
|
if (!proc->is_setof)
|
|
{
|
|
/*
|
|
* SETOF function parameters will be deleted when last row is
|
|
* returned
|
|
*/
|
|
PLy_function_delete_args(proc);
|
|
}
|
|
Assert(plrv != NULL);
|
|
Assert(!PLy_error_in_progress);
|
|
}
|
|
|
|
/*
|
|
* If it returns a set, call the iterator to get the next return item.
|
|
* We stay in the SPI context while doing this, because PyIter_Next()
|
|
* calls back into Python code which might contain SPI calls.
|
|
*/
|
|
if (proc->is_setof)
|
|
{
|
|
bool has_error = false;
|
|
ReturnSetInfo *rsi = (ReturnSetInfo *) fcinfo->resultinfo;
|
|
|
|
if (proc->setof == NULL)
|
|
{
|
|
/* first time -- do checks and setup */
|
|
if (!rsi || !IsA(rsi, ReturnSetInfo) ||
|
|
(rsi->allowedModes & SFRM_ValuePerCall) == 0)
|
|
{
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("unsupported set function return mode"),
|
|
errdetail("PL/Python set-returning functions only support returning only value per call.")));
|
|
}
|
|
rsi->returnMode = SFRM_ValuePerCall;
|
|
|
|
/* Make iterator out of returned object */
|
|
proc->setof = PyObject_GetIter(plrv);
|
|
Py_DECREF(plrv);
|
|
plrv = NULL;
|
|
|
|
if (proc->setof == NULL)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATATYPE_MISMATCH),
|
|
errmsg("returned object cannot be iterated"),
|
|
errdetail("PL/Python set-returning functions must return an iterable object.")));
|
|
}
|
|
|
|
/* Fetch next from iterator */
|
|
plrv = PyIter_Next(proc->setof);
|
|
if (plrv)
|
|
rsi->isDone = ExprMultipleResult;
|
|
else
|
|
{
|
|
rsi->isDone = ExprEndResult;
|
|
has_error = PyErr_Occurred() != NULL;
|
|
}
|
|
|
|
if (rsi->isDone == ExprEndResult)
|
|
{
|
|
/* Iterator is exhausted or error happened */
|
|
Py_DECREF(proc->setof);
|
|
proc->setof = NULL;
|
|
|
|
Py_XDECREF(plargs);
|
|
Py_XDECREF(plrv);
|
|
|
|
PLy_function_delete_args(proc);
|
|
|
|
if (has_error)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATA_EXCEPTION),
|
|
errmsg("error fetching next item from iterator")));
|
|
|
|
/* Disconnect from the SPI manager before returning */
|
|
if (SPI_finish() != SPI_OK_FINISH)
|
|
elog(ERROR, "SPI_finish failed");
|
|
|
|
fcinfo->isnull = true;
|
|
return (Datum) NULL;
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Disconnect from SPI manager and then create the return values datum
|
|
* (if the input function does a palloc for it this must not be
|
|
* allocated in the SPI memory context because SPI_finish would free
|
|
* it).
|
|
*/
|
|
if (SPI_finish() != SPI_OK_FINISH)
|
|
elog(ERROR, "SPI_finish failed");
|
|
|
|
plerrcontext.callback = plpython_return_error_callback;
|
|
plerrcontext.previous = error_context_stack;
|
|
error_context_stack = &plerrcontext;
|
|
|
|
/*
|
|
* If the function is declared to return void, the Python return value
|
|
* must be None. For void-returning functions, we also treat a None
|
|
* return value as a special "void datum" rather than NULL (as is the
|
|
* case for non-void-returning functions).
|
|
*/
|
|
if (proc->result.out.d.typoid == VOIDOID)
|
|
{
|
|
if (plrv != Py_None)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATATYPE_MISMATCH),
|
|
errmsg("PL/Python function with return type \"void\" did not return None")));
|
|
|
|
fcinfo->isnull = false;
|
|
rv = (Datum) 0;
|
|
}
|
|
else if (plrv == Py_None)
|
|
{
|
|
fcinfo->isnull = true;
|
|
if (proc->result.is_rowtype < 1)
|
|
rv = InputFunctionCall(&proc->result.out.d.typfunc,
|
|
NULL,
|
|
proc->result.out.d.typioparam,
|
|
-1);
|
|
else
|
|
/* Tuple as None */
|
|
rv = (Datum) NULL;
|
|
}
|
|
else if (proc->result.is_rowtype >= 1)
|
|
{
|
|
HeapTuple tuple = NULL;
|
|
|
|
if (PySequence_Check(plrv))
|
|
/* composite type as sequence (tuple, list etc) */
|
|
tuple = PLySequence_ToTuple(&proc->result, plrv);
|
|
else if (PyMapping_Check(plrv))
|
|
/* composite type as mapping (currently only dict) */
|
|
tuple = PLyMapping_ToTuple(&proc->result, plrv);
|
|
else
|
|
/* returned as smth, must provide method __getattr__(name) */
|
|
tuple = PLyObject_ToTuple(&proc->result, plrv);
|
|
|
|
if (tuple != NULL)
|
|
{
|
|
fcinfo->isnull = false;
|
|
rv = HeapTupleGetDatum(tuple);
|
|
}
|
|
else
|
|
{
|
|
fcinfo->isnull = true;
|
|
rv = (Datum) NULL;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
fcinfo->isnull = false;
|
|
rv = (proc->result.out.d.func) (&proc->result.out.d, -1, plrv);
|
|
}
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(plargs);
|
|
Py_XDECREF(plrv);
|
|
|
|
/*
|
|
* If there was an error the iterator might have not been exhausted
|
|
* yet. Set it to NULL so the next invocation of the function will
|
|
* start the iteration again.
|
|
*/
|
|
Py_XDECREF(proc->setof);
|
|
proc->setof = NULL;
|
|
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
error_context_stack = plerrcontext.previous;
|
|
|
|
Py_XDECREF(plargs);
|
|
Py_DECREF(plrv);
|
|
|
|
return rv;
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_procedure_call(PLyProcedure *proc, char *kargs, PyObject *vargs)
|
|
{
|
|
PyObject *rv;
|
|
|
|
PyDict_SetItemString(proc->globals, kargs, vargs);
|
|
rv = PyEval_EvalCode((PyCodeObject *) proc->code,
|
|
proc->globals, proc->globals);
|
|
|
|
/*
|
|
* If there was an error in a PG callback, propagate that no matter what
|
|
* Python claims about its success.
|
|
*/
|
|
if (PLy_error_in_progress)
|
|
{
|
|
ErrorData *edata = PLy_error_in_progress;
|
|
|
|
PLy_error_in_progress = NULL;
|
|
ReThrowError(edata);
|
|
}
|
|
|
|
if (rv == NULL || PyErr_Occurred())
|
|
{
|
|
Py_XDECREF(rv);
|
|
PLy_elog(ERROR, NULL);
|
|
}
|
|
|
|
return rv;
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_function_build_args(FunctionCallInfo fcinfo, PLyProcedure *proc)
|
|
{
|
|
PyObject *volatile arg = NULL;
|
|
PyObject *volatile args = NULL;
|
|
int i;
|
|
|
|
PG_TRY();
|
|
{
|
|
args = PyList_New(proc->nargs);
|
|
for (i = 0; i < proc->nargs; i++)
|
|
{
|
|
if (proc->args[i].is_rowtype > 0)
|
|
{
|
|
if (fcinfo->argnull[i])
|
|
arg = NULL;
|
|
else
|
|
{
|
|
HeapTupleHeader td;
|
|
Oid tupType;
|
|
int32 tupTypmod;
|
|
TupleDesc tupdesc;
|
|
HeapTupleData tmptup;
|
|
|
|
td = DatumGetHeapTupleHeader(fcinfo->arg[i]);
|
|
/* Extract rowtype info and find a tupdesc */
|
|
tupType = HeapTupleHeaderGetTypeId(td);
|
|
tupTypmod = HeapTupleHeaderGetTypMod(td);
|
|
tupdesc = lookup_rowtype_tupdesc(tupType, tupTypmod);
|
|
|
|
/* Set up I/O funcs if not done yet */
|
|
if (proc->args[i].is_rowtype != 1)
|
|
PLy_input_tuple_funcs(&(proc->args[i]), tupdesc);
|
|
|
|
/* Build a temporary HeapTuple control structure */
|
|
tmptup.t_len = HeapTupleHeaderGetDatumLength(td);
|
|
tmptup.t_data = td;
|
|
|
|
arg = PLyDict_FromTuple(&(proc->args[i]), &tmptup, tupdesc);
|
|
ReleaseTupleDesc(tupdesc);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (fcinfo->argnull[i])
|
|
arg = NULL;
|
|
else
|
|
{
|
|
arg = (proc->args[i].in.d.func) (&(proc->args[i].in.d),
|
|
fcinfo->arg[i]);
|
|
}
|
|
}
|
|
|
|
if (arg == NULL)
|
|
{
|
|
Py_INCREF(Py_None);
|
|
arg = Py_None;
|
|
}
|
|
|
|
if (PyList_SetItem(args, i, arg) == -1)
|
|
PLy_elog(ERROR, "PyList_SetItem() failed, while setting up arguments");
|
|
|
|
if (proc->argnames && proc->argnames[i] &&
|
|
PyDict_SetItemString(proc->globals, proc->argnames[i], arg) == -1)
|
|
PLy_elog(ERROR, "PyDict_SetItemString() failed, while setting up arguments");
|
|
arg = NULL;
|
|
}
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(arg);
|
|
Py_XDECREF(args);
|
|
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
return args;
|
|
}
|
|
|
|
|
|
static void
|
|
PLy_function_delete_args(PLyProcedure *proc)
|
|
{
|
|
int i;
|
|
|
|
if (!proc->argnames)
|
|
return;
|
|
|
|
for (i = 0; i < proc->nargs; i++)
|
|
if (proc->argnames[i])
|
|
PyDict_DelItemString(proc->globals, proc->argnames[i]);
|
|
}
|
|
|
|
/*
|
|
* Decide whether a cached PLyProcedure struct is still valid
|
|
*/
|
|
static bool
|
|
PLy_procedure_valid(PLyProcedure *proc, HeapTuple procTup)
|
|
{
|
|
Assert(proc != NULL);
|
|
|
|
/* If the pg_proc tuple has changed, it's not valid */
|
|
return (proc->fn_xmin == HeapTupleHeaderGetXmin(procTup->t_data) &&
|
|
ItemPointerEquals(&proc->fn_tid, &procTup->t_self));
|
|
}
|
|
|
|
|
|
/*
|
|
* PLyProcedure functions
|
|
*/
|
|
|
|
/* PLy_procedure_get: returns a cached PLyProcedure, or creates, stores and
|
|
* returns a new PLyProcedure. fcinfo is the call info, tgreloid is the
|
|
* relation OID when calling a trigger, or InvalidOid (zero) for ordinary
|
|
* function calls.
|
|
*/
|
|
static PLyProcedure *
|
|
PLy_procedure_get(Oid fn_oid, bool is_trigger)
|
|
{
|
|
HeapTuple procTup;
|
|
PLyProcedureEntry *entry;
|
|
bool found;
|
|
|
|
procTup = SearchSysCache1(PROCOID, ObjectIdGetDatum(fn_oid));
|
|
if (!HeapTupleIsValid(procTup))
|
|
elog(ERROR, "cache lookup failed for function %u", fn_oid);
|
|
|
|
/* Look for the function in the corresponding cache */
|
|
if (is_trigger)
|
|
entry = hash_search(PLy_trigger_cache,
|
|
&fn_oid, HASH_ENTER, &found);
|
|
else
|
|
entry = hash_search(PLy_procedure_cache,
|
|
&fn_oid, HASH_ENTER, &found);
|
|
|
|
PG_TRY();
|
|
{
|
|
if (!found)
|
|
{
|
|
/* Haven't found it, create a new cache entry */
|
|
entry->proc = PLy_procedure_create(procTup, fn_oid, is_trigger);
|
|
}
|
|
else if (!PLy_procedure_valid(entry->proc, procTup))
|
|
{
|
|
/* Found it, but it's invalid, free and reuse the cache entry */
|
|
PLy_procedure_delete(entry->proc);
|
|
PLy_free(entry->proc);
|
|
entry->proc = PLy_procedure_create(procTup, fn_oid, is_trigger);
|
|
}
|
|
/* Found it and it's valid, it's fine to use it */
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
/* Do not leave an uninitialised entry in the cache */
|
|
if (is_trigger)
|
|
hash_search(PLy_trigger_cache,
|
|
&fn_oid, HASH_REMOVE, NULL);
|
|
else
|
|
hash_search(PLy_procedure_cache,
|
|
&fn_oid, HASH_REMOVE, NULL);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
ReleaseSysCache(procTup);
|
|
|
|
return entry->proc;
|
|
}
|
|
|
|
/*
|
|
* Set up output conversion functions for a procedure
|
|
*/
|
|
static void
|
|
PLy_procedure_output_conversion(PLyProcedure *proc, Form_pg_proc procStruct)
|
|
{
|
|
HeapTuple rvTypeTup;
|
|
Form_pg_type rvTypeStruct;
|
|
|
|
/* Get the return type */
|
|
rvTypeTup = SearchSysCache1(TYPEOID,
|
|
ObjectIdGetDatum(procStruct->prorettype));
|
|
if (!HeapTupleIsValid(rvTypeTup))
|
|
elog(ERROR, "cache lookup failed for type %u",
|
|
procStruct->prorettype);
|
|
rvTypeStruct = (Form_pg_type) GETSTRUCT(rvTypeTup);
|
|
|
|
/* Disallow pseudotype result, except for void */
|
|
if (rvTypeStruct->typtype == TYPTYPE_PSEUDO &&
|
|
procStruct->prorettype != VOIDOID)
|
|
{
|
|
if (procStruct->prorettype == TRIGGEROID)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("trigger functions can only be called as triggers")));
|
|
else
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("PL/Python functions cannot return type %s",
|
|
format_type_be(procStruct->prorettype))));
|
|
}
|
|
|
|
if (rvTypeStruct->typtype == TYPTYPE_COMPOSITE)
|
|
{
|
|
/*
|
|
* Tuple: set up later, during first call to
|
|
* PLy_function_handler
|
|
*/
|
|
proc->result.out.d.typoid = procStruct->prorettype;
|
|
proc->result.is_rowtype = 2;
|
|
}
|
|
else
|
|
{
|
|
/* Do the real work */
|
|
PLy_output_datum_func(&proc->result, rvTypeTup);
|
|
}
|
|
|
|
ReleaseSysCache(rvTypeTup);
|
|
}
|
|
|
|
/*
|
|
* Set up output conversion functions for a procedure
|
|
*/
|
|
static void
|
|
PLy_procedure_input_conversion(PLyProcedure *proc, HeapTuple procTup,
|
|
Form_pg_proc procStruct)
|
|
{
|
|
Oid *types;
|
|
char **names,
|
|
*modes;
|
|
int i,
|
|
pos,
|
|
total;
|
|
|
|
/* Extract argument type info from the pg_proc tuple */
|
|
total = get_func_arg_info(procTup, &types, &names, &modes);
|
|
|
|
/* Count number of in+inout args into proc->nargs */
|
|
if (modes == NULL)
|
|
proc->nargs = total;
|
|
else
|
|
{
|
|
/* proc->nargs was initialized to 0 above */
|
|
for (i = 0; i < total; i++)
|
|
{
|
|
if (modes[i] != PROARGMODE_OUT &&
|
|
modes[i] != PROARGMODE_TABLE)
|
|
(proc->nargs)++;
|
|
}
|
|
}
|
|
|
|
proc->argnames = (char **) PLy_malloc0(sizeof(char *) * proc->nargs);
|
|
for (i = pos = 0; i < total; i++)
|
|
{
|
|
HeapTuple argTypeTup;
|
|
Form_pg_type argTypeStruct;
|
|
|
|
if (modes &&
|
|
(modes[i] == PROARGMODE_OUT ||
|
|
modes[i] == PROARGMODE_TABLE))
|
|
continue; /* skip OUT arguments */
|
|
|
|
Assert(types[i] == procStruct->proargtypes.values[pos]);
|
|
|
|
argTypeTup = SearchSysCache1(TYPEOID,
|
|
ObjectIdGetDatum(types[i]));
|
|
if (!HeapTupleIsValid(argTypeTup))
|
|
elog(ERROR, "cache lookup failed for type %u", types[i]);
|
|
argTypeStruct = (Form_pg_type) GETSTRUCT(argTypeTup);
|
|
|
|
/* Check argument type is OK, set up I/O function info */
|
|
switch (argTypeStruct->typtype)
|
|
{
|
|
case TYPTYPE_PSEUDO:
|
|
/* Disallow pseudotype argument */
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("PL/Python functions cannot accept type %s",
|
|
format_type_be(types[i]))));
|
|
break;
|
|
case TYPTYPE_COMPOSITE:
|
|
/* We'll set IO funcs at first call */
|
|
proc->args[pos].is_rowtype = 2;
|
|
break;
|
|
default:
|
|
PLy_input_datum_func(&(proc->args[pos]),
|
|
types[i],
|
|
argTypeTup);
|
|
break;
|
|
}
|
|
|
|
/* Get argument name */
|
|
proc->argnames[pos] = names ? PLy_strdup(names[i]) : NULL;
|
|
|
|
ReleaseSysCache(argTypeTup);
|
|
|
|
pos++;
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Create a new PLyProcedure structure
|
|
*/
|
|
static PLyProcedure *
|
|
PLy_procedure_create(HeapTuple procTup, Oid fn_oid, bool is_trigger)
|
|
{
|
|
char procName[NAMEDATALEN + 256];
|
|
Form_pg_proc procStruct;
|
|
PLyProcedure *volatile proc;
|
|
char *volatile procSource = NULL;
|
|
Datum prosrcdatum;
|
|
bool isnull;
|
|
int i,
|
|
rv;
|
|
|
|
procStruct = (Form_pg_proc) GETSTRUCT(procTup);
|
|
rv = snprintf(procName, sizeof(procName),
|
|
"__plpython_procedure_%s_%u",
|
|
NameStr(procStruct->proname),
|
|
fn_oid);
|
|
if (rv >= sizeof(procName) || rv < 0)
|
|
elog(ERROR, "procedure name would overrun buffer");
|
|
|
|
proc = PLy_malloc(sizeof(PLyProcedure));
|
|
proc->proname = PLy_strdup(NameStr(procStruct->proname));
|
|
proc->pyname = PLy_strdup(procName);
|
|
proc->fn_xmin = HeapTupleHeaderGetXmin(procTup->t_data);
|
|
proc->fn_tid = procTup->t_self;
|
|
/* Remember if function is STABLE/IMMUTABLE */
|
|
proc->fn_readonly =
|
|
(procStruct->provolatile != PROVOLATILE_VOLATILE);
|
|
PLy_typeinfo_init(&proc->result);
|
|
for (i = 0; i < FUNC_MAX_ARGS; i++)
|
|
PLy_typeinfo_init(&proc->args[i]);
|
|
proc->nargs = 0;
|
|
proc->code = proc->statics = NULL;
|
|
proc->globals = NULL;
|
|
proc->is_setof = procStruct->proretset;
|
|
proc->setof = NULL;
|
|
proc->argnames = NULL;
|
|
|
|
PG_TRY();
|
|
{
|
|
/*
|
|
* get information required for output conversion of the return value,
|
|
* but only if this isn't a trigger.
|
|
*/
|
|
if (!is_trigger)
|
|
PLy_procedure_output_conversion(proc, procStruct);
|
|
|
|
/*
|
|
* Now get information required for input conversion of the
|
|
* procedure's arguments. Note that we ignore output arguments here
|
|
* --- since we don't support returning record, and that was already
|
|
* checked above, there's no need to worry about multiple output
|
|
* arguments.
|
|
*/
|
|
if (procStruct->pronargs)
|
|
PLy_procedure_input_conversion(proc, procTup, procStruct);
|
|
|
|
/*
|
|
* get the text of the function.
|
|
*/
|
|
prosrcdatum = SysCacheGetAttr(PROCOID, procTup,
|
|
Anum_pg_proc_prosrc, &isnull);
|
|
if (isnull)
|
|
elog(ERROR, "null prosrc");
|
|
procSource = TextDatumGetCString(prosrcdatum);
|
|
|
|
PLy_procedure_compile(proc, procSource);
|
|
|
|
pfree(procSource);
|
|
procSource = NULL;
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
PLy_procedure_delete(proc);
|
|
if (procSource)
|
|
pfree(procSource);
|
|
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
return proc;
|
|
}
|
|
|
|
/*
|
|
* Insert the procedure into the Python interpreter
|
|
*/
|
|
static void
|
|
PLy_procedure_compile(PLyProcedure *proc, const char *src)
|
|
{
|
|
PyObject *crv = NULL;
|
|
char *msrc;
|
|
|
|
proc->globals = PyDict_Copy(PLy_interp_globals);
|
|
|
|
/*
|
|
* SD is private preserved data between calls. GD is global data shared by
|
|
* all functions
|
|
*/
|
|
proc->statics = PyDict_New();
|
|
PyDict_SetItemString(proc->globals, "SD", proc->statics);
|
|
|
|
/*
|
|
* insert the function code into the interpreter
|
|
*/
|
|
msrc = PLy_procedure_munge_source(proc->pyname, src);
|
|
crv = PyRun_String(msrc, Py_file_input, proc->globals, NULL);
|
|
pfree(msrc);
|
|
|
|
if (crv != NULL)
|
|
{
|
|
int clen;
|
|
char call[NAMEDATALEN + 256];
|
|
|
|
Py_DECREF(crv);
|
|
|
|
/*
|
|
* compile a call to the function
|
|
*/
|
|
clen = snprintf(call, sizeof(call), "%s()", proc->pyname);
|
|
if (clen < 0 || clen >= sizeof(call))
|
|
elog(ERROR, "string would overflow buffer");
|
|
proc->code = Py_CompileString(call, "<string>", Py_eval_input);
|
|
if (proc->code != NULL)
|
|
return;
|
|
}
|
|
|
|
if (proc->proname)
|
|
PLy_elog(ERROR, "could not compile PL/Python function \"%s\"",
|
|
proc->proname);
|
|
else
|
|
PLy_elog(ERROR, "could not compile anonymous PL/Python code block");
|
|
}
|
|
|
|
static char *
|
|
PLy_procedure_munge_source(const char *name, const char *src)
|
|
{
|
|
char *mrc,
|
|
*mp;
|
|
const char *sp;
|
|
size_t mlen,
|
|
plen;
|
|
|
|
/*
|
|
* room for function source and the def statement
|
|
*/
|
|
mlen = (strlen(src) * 2) + strlen(name) + 16;
|
|
|
|
mrc = palloc(mlen);
|
|
plen = snprintf(mrc, mlen, "def %s():\n\t", name);
|
|
Assert(plen >= 0 && plen < mlen);
|
|
|
|
sp = src;
|
|
mp = mrc + plen;
|
|
|
|
while (*sp != '\0')
|
|
{
|
|
if (*sp == '\r' && *(sp + 1) == '\n')
|
|
sp++;
|
|
|
|
if (*sp == '\n' || *sp == '\r')
|
|
{
|
|
*mp++ = '\n';
|
|
*mp++ = '\t';
|
|
sp++;
|
|
}
|
|
else
|
|
*mp++ = *sp++;
|
|
}
|
|
*mp++ = '\n';
|
|
*mp++ = '\n';
|
|
*mp = '\0';
|
|
|
|
if (mp > (mrc + mlen))
|
|
elog(FATAL, "buffer overrun in PLy_munge_source");
|
|
|
|
return mrc;
|
|
}
|
|
|
|
static void
|
|
PLy_procedure_delete(PLyProcedure *proc)
|
|
{
|
|
int i;
|
|
|
|
Py_XDECREF(proc->code);
|
|
Py_XDECREF(proc->statics);
|
|
Py_XDECREF(proc->globals);
|
|
if (proc->proname)
|
|
PLy_free(proc->proname);
|
|
if (proc->pyname)
|
|
PLy_free(proc->pyname);
|
|
for (i = 0; i < proc->nargs; i++)
|
|
{
|
|
if (proc->args[i].is_rowtype == 1)
|
|
{
|
|
if (proc->args[i].in.r.atts)
|
|
PLy_free(proc->args[i].in.r.atts);
|
|
if (proc->args[i].out.r.atts)
|
|
PLy_free(proc->args[i].out.r.atts);
|
|
}
|
|
if (proc->argnames && proc->argnames[i])
|
|
PLy_free(proc->argnames[i]);
|
|
}
|
|
if (proc->argnames)
|
|
PLy_free(proc->argnames);
|
|
}
|
|
|
|
/*
|
|
* Conversion functions. Remember output from Python is input to
|
|
* PostgreSQL, and vice versa.
|
|
*/
|
|
static void
|
|
PLy_input_tuple_funcs(PLyTypeInfo *arg, TupleDesc desc)
|
|
{
|
|
int i;
|
|
|
|
if (arg->is_rowtype == 0)
|
|
elog(ERROR, "PLyTypeInfo struct is initialized for a Datum");
|
|
arg->is_rowtype = 1;
|
|
|
|
if (arg->in.r.natts != desc->natts)
|
|
{
|
|
if (arg->in.r.atts)
|
|
PLy_free(arg->in.r.atts);
|
|
arg->in.r.natts = desc->natts;
|
|
arg->in.r.atts = PLy_malloc0(desc->natts * sizeof(PLyDatumToOb));
|
|
}
|
|
|
|
for (i = 0; i < desc->natts; i++)
|
|
{
|
|
HeapTuple typeTup;
|
|
|
|
if (desc->attrs[i]->attisdropped)
|
|
continue;
|
|
|
|
if (arg->in.r.atts[i].typoid == desc->attrs[i]->atttypid)
|
|
continue; /* already set up this entry */
|
|
|
|
typeTup = SearchSysCache1(TYPEOID,
|
|
ObjectIdGetDatum(desc->attrs[i]->atttypid));
|
|
if (!HeapTupleIsValid(typeTup))
|
|
elog(ERROR, "cache lookup failed for type %u",
|
|
desc->attrs[i]->atttypid);
|
|
|
|
PLy_input_datum_func2(&(arg->in.r.atts[i]),
|
|
desc->attrs[i]->atttypid,
|
|
typeTup);
|
|
|
|
ReleaseSysCache(typeTup);
|
|
}
|
|
}
|
|
|
|
static void
|
|
PLy_output_tuple_funcs(PLyTypeInfo *arg, TupleDesc desc)
|
|
{
|
|
int i;
|
|
|
|
if (arg->is_rowtype == 0)
|
|
elog(ERROR, "PLyTypeInfo struct is initialized for a Datum");
|
|
arg->is_rowtype = 1;
|
|
|
|
if (arg->out.r.natts != desc->natts)
|
|
{
|
|
if (arg->out.r.atts)
|
|
PLy_free(arg->out.r.atts);
|
|
arg->out.r.natts = desc->natts;
|
|
arg->out.r.atts = PLy_malloc0(desc->natts * sizeof(PLyDatumToOb));
|
|
}
|
|
|
|
for (i = 0; i < desc->natts; i++)
|
|
{
|
|
HeapTuple typeTup;
|
|
|
|
if (desc->attrs[i]->attisdropped)
|
|
continue;
|
|
|
|
if (arg->out.r.atts[i].typoid == desc->attrs[i]->atttypid)
|
|
continue; /* already set up this entry */
|
|
|
|
typeTup = SearchSysCache1(TYPEOID,
|
|
ObjectIdGetDatum(desc->attrs[i]->atttypid));
|
|
if (!HeapTupleIsValid(typeTup))
|
|
elog(ERROR, "cache lookup failed for type %u",
|
|
desc->attrs[i]->atttypid);
|
|
|
|
PLy_output_datum_func2(&(arg->out.r.atts[i]), typeTup);
|
|
|
|
ReleaseSysCache(typeTup);
|
|
}
|
|
}
|
|
|
|
static void
|
|
PLy_output_datum_func(PLyTypeInfo *arg, HeapTuple typeTup)
|
|
{
|
|
if (arg->is_rowtype > 0)
|
|
elog(ERROR, "PLyTypeInfo struct is initialized for a Tuple");
|
|
arg->is_rowtype = 0;
|
|
PLy_output_datum_func2(&(arg->out.d), typeTup);
|
|
}
|
|
|
|
static void
|
|
PLy_output_datum_func2(PLyObToDatum *arg, HeapTuple typeTup)
|
|
{
|
|
Form_pg_type typeStruct = (Form_pg_type) GETSTRUCT(typeTup);
|
|
Oid element_type;
|
|
|
|
perm_fmgr_info(typeStruct->typinput, &arg->typfunc);
|
|
arg->typoid = HeapTupleGetOid(typeTup);
|
|
arg->typioparam = getTypeIOParam(typeTup);
|
|
arg->typbyval = typeStruct->typbyval;
|
|
|
|
element_type = get_element_type(arg->typoid);
|
|
|
|
/*
|
|
* Select a conversion function to convert Python objects to PostgreSQL
|
|
* datums. Most data types can go through the generic function.
|
|
*/
|
|
switch (getBaseType(element_type ? element_type : arg->typoid))
|
|
{
|
|
case BOOLOID:
|
|
arg->func = PLyObject_ToBool;
|
|
break;
|
|
case BYTEAOID:
|
|
arg->func = PLyObject_ToBytea;
|
|
break;
|
|
default:
|
|
arg->func = PLyObject_ToDatum;
|
|
break;
|
|
}
|
|
|
|
if (element_type)
|
|
{
|
|
char dummy_delim;
|
|
Oid funcid;
|
|
|
|
if (type_is_rowtype(element_type))
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("PL/Python functions cannot return type %s",
|
|
format_type_be(arg->typoid)),
|
|
errdetail("PL/Python does not support conversion to arrays of row types.")));
|
|
|
|
arg->elm = PLy_malloc0(sizeof(*arg->elm));
|
|
arg->elm->func = arg->func;
|
|
arg->func = PLySequence_ToArray;
|
|
|
|
arg->elm->typoid = element_type;
|
|
get_type_io_data(element_type, IOFunc_input,
|
|
&arg->elm->typlen, &arg->elm->typbyval, &arg->elm->typalign, &dummy_delim,
|
|
&arg->elm->typioparam, &funcid);
|
|
perm_fmgr_info(funcid, &arg->elm->typfunc);
|
|
}
|
|
}
|
|
|
|
static void
|
|
PLy_input_datum_func(PLyTypeInfo *arg, Oid typeOid, HeapTuple typeTup)
|
|
{
|
|
if (arg->is_rowtype > 0)
|
|
elog(ERROR, "PLyTypeInfo struct is initialized for Tuple");
|
|
arg->is_rowtype = 0;
|
|
PLy_input_datum_func2(&(arg->in.d), typeOid, typeTup);
|
|
}
|
|
|
|
static void
|
|
PLy_input_datum_func2(PLyDatumToOb *arg, Oid typeOid, HeapTuple typeTup)
|
|
{
|
|
Form_pg_type typeStruct = (Form_pg_type) GETSTRUCT(typeTup);
|
|
Oid element_type = get_element_type(typeOid);
|
|
|
|
/* Get the type's conversion information */
|
|
perm_fmgr_info(typeStruct->typoutput, &arg->typfunc);
|
|
arg->typoid = HeapTupleGetOid(typeTup);
|
|
arg->typioparam = getTypeIOParam(typeTup);
|
|
arg->typbyval = typeStruct->typbyval;
|
|
arg->typlen = typeStruct->typlen;
|
|
arg->typalign = typeStruct->typalign;
|
|
|
|
/* Determine which kind of Python object we will convert to */
|
|
switch (getBaseType(element_type ? element_type : typeOid))
|
|
{
|
|
case BOOLOID:
|
|
arg->func = PLyBool_FromBool;
|
|
break;
|
|
case FLOAT4OID:
|
|
arg->func = PLyFloat_FromFloat4;
|
|
break;
|
|
case FLOAT8OID:
|
|
arg->func = PLyFloat_FromFloat8;
|
|
break;
|
|
case NUMERICOID:
|
|
arg->func = PLyFloat_FromNumeric;
|
|
break;
|
|
case INT2OID:
|
|
arg->func = PLyInt_FromInt16;
|
|
break;
|
|
case INT4OID:
|
|
arg->func = PLyInt_FromInt32;
|
|
break;
|
|
case INT8OID:
|
|
arg->func = PLyLong_FromInt64;
|
|
break;
|
|
case BYTEAOID:
|
|
arg->func = PLyBytes_FromBytea;
|
|
break;
|
|
default:
|
|
arg->func = PLyString_FromDatum;
|
|
break;
|
|
}
|
|
|
|
if (element_type)
|
|
{
|
|
char dummy_delim;
|
|
Oid funcid;
|
|
|
|
arg->elm = PLy_malloc0(sizeof(*arg->elm));
|
|
arg->elm->func = arg->func;
|
|
arg->func = PLyList_FromArray;
|
|
arg->elm->typoid = element_type;
|
|
get_type_io_data(element_type, IOFunc_output,
|
|
&arg->elm->typlen, &arg->elm->typbyval, &arg->elm->typalign, &dummy_delim,
|
|
&arg->elm->typioparam, &funcid);
|
|
perm_fmgr_info(funcid, &arg->elm->typfunc);
|
|
}
|
|
}
|
|
|
|
static void
|
|
PLy_typeinfo_init(PLyTypeInfo *arg)
|
|
{
|
|
arg->is_rowtype = -1;
|
|
arg->in.r.natts = arg->out.r.natts = 0;
|
|
arg->in.r.atts = NULL;
|
|
arg->out.r.atts = NULL;
|
|
}
|
|
|
|
static void
|
|
PLy_typeinfo_dealloc(PLyTypeInfo *arg)
|
|
{
|
|
if (arg->is_rowtype == 1)
|
|
{
|
|
if (arg->in.r.atts)
|
|
PLy_free(arg->in.r.atts);
|
|
if (arg->out.r.atts)
|
|
PLy_free(arg->out.r.atts);
|
|
}
|
|
}
|
|
|
|
static PyObject *
|
|
PLyBool_FromBool(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
/*
|
|
* We would like to use Py_RETURN_TRUE and Py_RETURN_FALSE here for
|
|
* generating SQL from trigger functions, but those are only supported in
|
|
* Python >= 2.3, and we support older versions.
|
|
* http://docs.python.org/api/boolObjects.html
|
|
*/
|
|
if (DatumGetBool(d))
|
|
return PyBool_FromLong(1);
|
|
return PyBool_FromLong(0);
|
|
}
|
|
|
|
static PyObject *
|
|
PLyFloat_FromFloat4(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
return PyFloat_FromDouble(DatumGetFloat4(d));
|
|
}
|
|
|
|
static PyObject *
|
|
PLyFloat_FromFloat8(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
return PyFloat_FromDouble(DatumGetFloat8(d));
|
|
}
|
|
|
|
static PyObject *
|
|
PLyFloat_FromNumeric(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
/*
|
|
* Numeric is cast to a PyFloat: This results in a loss of precision Would
|
|
* it be better to cast to PyString?
|
|
*/
|
|
Datum f = DirectFunctionCall1(numeric_float8, d);
|
|
double x = DatumGetFloat8(f);
|
|
|
|
return PyFloat_FromDouble(x);
|
|
}
|
|
|
|
static PyObject *
|
|
PLyInt_FromInt16(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
return PyInt_FromLong(DatumGetInt16(d));
|
|
}
|
|
|
|
static PyObject *
|
|
PLyInt_FromInt32(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
return PyInt_FromLong(DatumGetInt32(d));
|
|
}
|
|
|
|
static PyObject *
|
|
PLyLong_FromInt64(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
/* on 32 bit platforms "long" may be too small */
|
|
if (sizeof(int64) > sizeof(long))
|
|
return PyLong_FromLongLong(DatumGetInt64(d));
|
|
else
|
|
return PyLong_FromLong(DatumGetInt64(d));
|
|
}
|
|
|
|
static PyObject *
|
|
PLyBytes_FromBytea(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
text *txt = DatumGetByteaP(d);
|
|
char *str = VARDATA(txt);
|
|
size_t size = VARSIZE(txt) - VARHDRSZ;
|
|
|
|
return PyBytes_FromStringAndSize(str, size);
|
|
}
|
|
|
|
static PyObject *
|
|
PLyString_FromDatum(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
char *x = OutputFunctionCall(&arg->typfunc, d);
|
|
PyObject *r = PyString_FromString(x);
|
|
|
|
pfree(x);
|
|
return r;
|
|
}
|
|
|
|
static PyObject *
|
|
PLyList_FromArray(PLyDatumToOb *arg, Datum d)
|
|
{
|
|
ArrayType *array = DatumGetArrayTypeP(d);
|
|
PLyDatumToOb *elm = arg->elm;
|
|
PyObject *list;
|
|
int length;
|
|
int lbound;
|
|
int i;
|
|
|
|
if (ARR_NDIM(array) == 0)
|
|
return PyList_New(0);
|
|
|
|
if (ARR_NDIM(array) != 1)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("cannot convert multidimensional array to Python list"),
|
|
errdetail("PL/Python only supports one-dimensional arrays.")));
|
|
|
|
length = ARR_DIMS(array)[0];
|
|
lbound = ARR_LBOUND(array)[0];
|
|
list = PyList_New(length);
|
|
|
|
for (i = 0; i < length; i++)
|
|
{
|
|
Datum elem;
|
|
bool isnull;
|
|
int offset;
|
|
|
|
offset = lbound + i;
|
|
elem = array_ref(array, 1, &offset, arg->typlen,
|
|
elm->typlen, elm->typbyval, elm->typalign,
|
|
&isnull);
|
|
if (isnull)
|
|
{
|
|
Py_INCREF(Py_None);
|
|
PyList_SET_ITEM(list, i, Py_None);
|
|
}
|
|
else
|
|
PyList_SET_ITEM(list, i, elm->func(elm, elem));
|
|
}
|
|
|
|
return list;
|
|
}
|
|
|
|
static PyObject *
|
|
PLyDict_FromTuple(PLyTypeInfo *info, HeapTuple tuple, TupleDesc desc)
|
|
{
|
|
PyObject *volatile dict;
|
|
int i;
|
|
|
|
if (info->is_rowtype != 1)
|
|
elog(ERROR, "PLyTypeInfo structure describes a datum");
|
|
|
|
dict = PyDict_New();
|
|
if (dict == NULL)
|
|
PLy_elog(ERROR, "could not create new dictionary");
|
|
|
|
PG_TRY();
|
|
{
|
|
for (i = 0; i < info->in.r.natts; i++)
|
|
{
|
|
char *key;
|
|
Datum vattr;
|
|
bool is_null;
|
|
PyObject *value;
|
|
|
|
if (desc->attrs[i]->attisdropped)
|
|
continue;
|
|
|
|
key = NameStr(desc->attrs[i]->attname);
|
|
vattr = heap_getattr(tuple, (i + 1), desc, &is_null);
|
|
|
|
if (is_null || info->in.r.atts[i].func == NULL)
|
|
PyDict_SetItemString(dict, key, Py_None);
|
|
else
|
|
{
|
|
value = (info->in.r.atts[i].func) (&info->in.r.atts[i], vattr);
|
|
PyDict_SetItemString(dict, key, value);
|
|
Py_DECREF(value);
|
|
}
|
|
}
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_DECREF(dict);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
return dict;
|
|
}
|
|
|
|
/*
|
|
* Convert a Python object to a PostgreSQL bool datum. This can't go
|
|
* through the generic conversion function, because Python attaches a
|
|
* Boolean value to everything, more things than the PostgreSQL bool
|
|
* type can parse.
|
|
*/
|
|
static Datum
|
|
PLyObject_ToBool(PLyObToDatum *arg, int32 typmod, PyObject *plrv)
|
|
{
|
|
Datum rv;
|
|
|
|
Assert(plrv != Py_None);
|
|
rv = BoolGetDatum(PyObject_IsTrue(plrv));
|
|
|
|
if (get_typtype(arg->typoid) == TYPTYPE_DOMAIN)
|
|
domain_check(rv, false, arg->typoid, &arg->typfunc.fn_extra, arg->typfunc.fn_mcxt);
|
|
|
|
return rv;
|
|
}
|
|
|
|
/*
|
|
* Convert a Python object to a PostgreSQL bytea datum. This doesn't
|
|
* go through the generic conversion function to circumvent problems
|
|
* with embedded nulls. And it's faster this way.
|
|
*/
|
|
static Datum
|
|
PLyObject_ToBytea(PLyObToDatum *arg, int32 typmod, PyObject *plrv)
|
|
{
|
|
PyObject *volatile plrv_so = NULL;
|
|
Datum rv;
|
|
|
|
Assert(plrv != Py_None);
|
|
|
|
plrv_so = PyObject_Bytes(plrv);
|
|
if (!plrv_so)
|
|
PLy_elog(ERROR, "could not create bytes representation of Python object");
|
|
|
|
PG_TRY();
|
|
{
|
|
char *plrv_sc = PyBytes_AsString(plrv_so);
|
|
size_t len = PyBytes_Size(plrv_so);
|
|
size_t size = len + VARHDRSZ;
|
|
bytea *result = palloc(size);
|
|
|
|
SET_VARSIZE(result, size);
|
|
memcpy(VARDATA(result), plrv_sc, len);
|
|
rv = PointerGetDatum(result);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(plrv_so);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
Py_XDECREF(plrv_so);
|
|
|
|
if (get_typtype(arg->typoid) == TYPTYPE_DOMAIN)
|
|
domain_check(rv, false, arg->typoid, &arg->typfunc.fn_extra, arg->typfunc.fn_mcxt);
|
|
|
|
return rv;
|
|
}
|
|
|
|
/*
|
|
* Generic conversion function: Convert PyObject to cstring and
|
|
* cstring into PostgreSQL type.
|
|
*/
|
|
static Datum
|
|
PLyObject_ToDatum(PLyObToDatum *arg, int32 typmod, PyObject *plrv)
|
|
{
|
|
PyObject *volatile plrv_bo = NULL;
|
|
Datum rv;
|
|
|
|
Assert(plrv != Py_None);
|
|
|
|
if (PyUnicode_Check(plrv))
|
|
plrv_bo = PLyUnicode_Bytes(plrv);
|
|
else
|
|
{
|
|
#if PY_MAJOR_VERSION >= 3
|
|
PyObject *s = PyObject_Str(plrv);
|
|
|
|
plrv_bo = PLyUnicode_Bytes(s);
|
|
Py_XDECREF(s);
|
|
#else
|
|
plrv_bo = PyObject_Str(plrv);
|
|
#endif
|
|
}
|
|
if (!plrv_bo)
|
|
PLy_elog(ERROR, "could not create string representation of Python object");
|
|
|
|
PG_TRY();
|
|
{
|
|
char *plrv_sc = PyBytes_AsString(plrv_bo);
|
|
size_t plen = PyBytes_Size(plrv_bo);
|
|
size_t slen = strlen(plrv_sc);
|
|
|
|
if (slen < plen)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATATYPE_MISMATCH),
|
|
errmsg("could not convert Python object into cstring: Python string representation appears to contain null bytes")));
|
|
else if (slen > plen)
|
|
elog(ERROR, "could not convert Python object into cstring: Python string longer than reported length");
|
|
pg_verifymbstr(plrv_sc, slen, false);
|
|
rv = InputFunctionCall(&arg->typfunc,
|
|
plrv_sc,
|
|
arg->typioparam,
|
|
typmod);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(plrv_bo);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
Py_XDECREF(plrv_bo);
|
|
|
|
return rv;
|
|
}
|
|
|
|
static Datum
|
|
PLySequence_ToArray(PLyObToDatum *arg, int32 typmod, PyObject *plrv)
|
|
{
|
|
ArrayType *array;
|
|
int i;
|
|
Datum *elems;
|
|
bool *nulls;
|
|
int len;
|
|
int lbs;
|
|
|
|
Assert(plrv != Py_None);
|
|
|
|
if (!PySequence_Check(plrv))
|
|
PLy_elog(ERROR, "return value of function with array return type is not a Python sequence");
|
|
|
|
len = PySequence_Length(plrv);
|
|
elems = palloc(sizeof(*elems) * len);
|
|
nulls = palloc(sizeof(*nulls) * len);
|
|
|
|
for (i = 0; i < len; i++)
|
|
{
|
|
PyObject *obj = PySequence_GetItem(plrv, i);
|
|
|
|
if (obj == Py_None)
|
|
nulls[i] = true;
|
|
else
|
|
{
|
|
nulls[i] = false;
|
|
|
|
/*
|
|
* We don't support arrays of row types yet, so the first argument
|
|
* can be NULL.
|
|
*/
|
|
elems[i] = arg->elm->func(arg->elm, -1, obj);
|
|
}
|
|
Py_XDECREF(obj);
|
|
}
|
|
|
|
lbs = 1;
|
|
array = construct_md_array(elems, nulls, 1, &len, &lbs,
|
|
get_element_type(arg->typoid), arg->elm->typlen, arg->elm->typbyval, arg->elm->typalign);
|
|
return PointerGetDatum(array);
|
|
}
|
|
|
|
static HeapTuple
|
|
PLyMapping_ToTuple(PLyTypeInfo *info, PyObject *mapping)
|
|
{
|
|
TupleDesc desc;
|
|
HeapTuple tuple;
|
|
Datum *values;
|
|
bool *nulls;
|
|
volatile int i;
|
|
|
|
Assert(PyMapping_Check(mapping));
|
|
|
|
desc = lookup_rowtype_tupdesc(info->out.d.typoid, -1);
|
|
if (info->is_rowtype == 2)
|
|
PLy_output_tuple_funcs(info, desc);
|
|
Assert(info->is_rowtype == 1);
|
|
|
|
/* Build tuple */
|
|
values = palloc(sizeof(Datum) * desc->natts);
|
|
nulls = palloc(sizeof(bool) * desc->natts);
|
|
for (i = 0; i < desc->natts; ++i)
|
|
{
|
|
char *key;
|
|
PyObject *volatile value;
|
|
PLyObToDatum *att;
|
|
|
|
if (desc->attrs[i]->attisdropped)
|
|
continue;
|
|
|
|
key = NameStr(desc->attrs[i]->attname);
|
|
value = NULL;
|
|
att = &info->out.r.atts[i];
|
|
PG_TRY();
|
|
{
|
|
value = PyMapping_GetItemString(mapping, key);
|
|
if (value == Py_None)
|
|
{
|
|
values[i] = (Datum) NULL;
|
|
nulls[i] = true;
|
|
}
|
|
else if (value)
|
|
{
|
|
values[i] = (att->func) (att, -1, value);
|
|
nulls[i] = false;
|
|
}
|
|
else
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_UNDEFINED_COLUMN),
|
|
errmsg("key \"%s\" not found in mapping", key),
|
|
errhint("To return null in a column, "
|
|
"add the value None to the mapping with the key named after the column.")));
|
|
|
|
Py_XDECREF(value);
|
|
value = NULL;
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(value);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
}
|
|
|
|
tuple = heap_form_tuple(desc, values, nulls);
|
|
ReleaseTupleDesc(desc);
|
|
pfree(values);
|
|
pfree(nulls);
|
|
|
|
return tuple;
|
|
}
|
|
|
|
|
|
static HeapTuple
|
|
PLySequence_ToTuple(PLyTypeInfo *info, PyObject *sequence)
|
|
{
|
|
TupleDesc desc;
|
|
HeapTuple tuple;
|
|
Datum *values;
|
|
bool *nulls;
|
|
volatile int idx;
|
|
volatile int i;
|
|
|
|
Assert(PySequence_Check(sequence));
|
|
|
|
/*
|
|
* Check that sequence length is exactly same as PG tuple's. We actually
|
|
* can ignore exceeding items or assume missing ones as null but to avoid
|
|
* plpython developer's errors we are strict here
|
|
*/
|
|
desc = lookup_rowtype_tupdesc(info->out.d.typoid, -1);
|
|
idx = 0;
|
|
for (i = 0; i < desc->natts; i++)
|
|
{
|
|
if (!desc->attrs[i]->attisdropped)
|
|
idx++;
|
|
}
|
|
if (PySequence_Length(sequence) != idx)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_DATATYPE_MISMATCH),
|
|
errmsg("length of returned sequence did not match number of columns in row")));
|
|
|
|
if (info->is_rowtype == 2)
|
|
PLy_output_tuple_funcs(info, desc);
|
|
Assert(info->is_rowtype == 1);
|
|
|
|
/* Build tuple */
|
|
values = palloc(sizeof(Datum) * desc->natts);
|
|
nulls = palloc(sizeof(bool) * desc->natts);
|
|
idx = 0;
|
|
for (i = 0; i < desc->natts; ++i)
|
|
{
|
|
PyObject *volatile value;
|
|
PLyObToDatum *att;
|
|
|
|
if (desc->attrs[i]->attisdropped)
|
|
continue;
|
|
|
|
value = NULL;
|
|
att = &info->out.r.atts[i];
|
|
PG_TRY();
|
|
{
|
|
value = PySequence_GetItem(sequence, idx);
|
|
Assert(value);
|
|
if (value == Py_None)
|
|
{
|
|
values[i] = (Datum) NULL;
|
|
nulls[i] = true;
|
|
}
|
|
else if (value)
|
|
{
|
|
values[i] = (att->func) (att, -1, value);
|
|
nulls[i] = false;
|
|
}
|
|
|
|
Py_XDECREF(value);
|
|
value = NULL;
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(value);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
idx++;
|
|
}
|
|
|
|
tuple = heap_form_tuple(desc, values, nulls);
|
|
ReleaseTupleDesc(desc);
|
|
pfree(values);
|
|
pfree(nulls);
|
|
|
|
return tuple;
|
|
}
|
|
|
|
|
|
static HeapTuple
|
|
PLyObject_ToTuple(PLyTypeInfo *info, PyObject *object)
|
|
{
|
|
TupleDesc desc;
|
|
HeapTuple tuple;
|
|
Datum *values;
|
|
bool *nulls;
|
|
volatile int i;
|
|
|
|
desc = lookup_rowtype_tupdesc(info->out.d.typoid, -1);
|
|
if (info->is_rowtype == 2)
|
|
PLy_output_tuple_funcs(info, desc);
|
|
Assert(info->is_rowtype == 1);
|
|
|
|
/* Build tuple */
|
|
values = palloc(sizeof(Datum) * desc->natts);
|
|
nulls = palloc(sizeof(bool) * desc->natts);
|
|
for (i = 0; i < desc->natts; ++i)
|
|
{
|
|
char *key;
|
|
PyObject *volatile value;
|
|
PLyObToDatum *att;
|
|
|
|
if (desc->attrs[i]->attisdropped)
|
|
continue;
|
|
|
|
key = NameStr(desc->attrs[i]->attname);
|
|
value = NULL;
|
|
att = &info->out.r.atts[i];
|
|
PG_TRY();
|
|
{
|
|
value = PyObject_GetAttrString(object, key);
|
|
if (value == Py_None)
|
|
{
|
|
values[i] = (Datum) NULL;
|
|
nulls[i] = true;
|
|
}
|
|
else if (value)
|
|
{
|
|
values[i] = (att->func) (att, -1, value);
|
|
nulls[i] = false;
|
|
}
|
|
else
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_UNDEFINED_COLUMN),
|
|
errmsg("attribute \"%s\" does not exist in Python object", key),
|
|
errhint("To return null in a column, "
|
|
"let the returned object have an attribute named "
|
|
"after column with value None.")));
|
|
|
|
Py_XDECREF(value);
|
|
value = NULL;
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_XDECREF(value);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
}
|
|
|
|
tuple = heap_form_tuple(desc, values, nulls);
|
|
ReleaseTupleDesc(desc);
|
|
pfree(values);
|
|
pfree(nulls);
|
|
|
|
return tuple;
|
|
}
|
|
|
|
|
|
/* initialization, some python variables function declared here */
|
|
|
|
/* interface to postgresql elog */
|
|
static PyObject *PLy_debug(PyObject *, PyObject *);
|
|
static PyObject *PLy_log(PyObject *, PyObject *);
|
|
static PyObject *PLy_info(PyObject *, PyObject *);
|
|
static PyObject *PLy_notice(PyObject *, PyObject *);
|
|
static PyObject *PLy_warning(PyObject *, PyObject *);
|
|
static PyObject *PLy_error(PyObject *, PyObject *);
|
|
static PyObject *PLy_fatal(PyObject *, PyObject *);
|
|
|
|
/* PLyPlanObject, PLyResultObject and SPI interface */
|
|
#define is_PLyPlanObject(x) ((x)->ob_type == &PLy_PlanType)
|
|
static PyObject *PLy_plan_new(void);
|
|
static void PLy_plan_dealloc(PyObject *);
|
|
static PyObject *PLy_plan_status(PyObject *, PyObject *);
|
|
|
|
static PyObject *PLy_result_new(void);
|
|
static void PLy_result_dealloc(PyObject *);
|
|
static PyObject *PLy_result_nrows(PyObject *, PyObject *);
|
|
static PyObject *PLy_result_status(PyObject *, PyObject *);
|
|
static Py_ssize_t PLy_result_length(PyObject *);
|
|
static PyObject *PLy_result_item(PyObject *, Py_ssize_t);
|
|
static PyObject *PLy_result_slice(PyObject *, Py_ssize_t, Py_ssize_t);
|
|
static int PLy_result_ass_item(PyObject *, Py_ssize_t, PyObject *);
|
|
static int PLy_result_ass_slice(PyObject *, Py_ssize_t, Py_ssize_t, PyObject *);
|
|
|
|
|
|
static PyObject *PLy_spi_prepare(PyObject *, PyObject *);
|
|
static PyObject *PLy_spi_execute(PyObject *, PyObject *);
|
|
static PyObject *PLy_spi_execute_query(char *query, long limit);
|
|
static PyObject *PLy_spi_execute_plan(PyObject *, PyObject *, long);
|
|
static PyObject *PLy_spi_execute_fetch_result(SPITupleTable *, int, int);
|
|
|
|
|
|
static PyMethodDef PLy_plan_methods[] = {
|
|
{"status", PLy_plan_status, METH_VARARGS, NULL},
|
|
{NULL, NULL, 0, NULL}
|
|
};
|
|
|
|
static PyTypeObject PLy_PlanType = {
|
|
PyVarObject_HEAD_INIT(NULL, 0)
|
|
"PLyPlan", /* tp_name */
|
|
sizeof(PLyPlanObject), /* tp_size */
|
|
0, /* tp_itemsize */
|
|
|
|
/*
|
|
* methods
|
|
*/
|
|
PLy_plan_dealloc, /* tp_dealloc */
|
|
0, /* tp_print */
|
|
0, /* tp_getattr */
|
|
0, /* tp_setattr */
|
|
0, /* tp_compare */
|
|
0, /* tp_repr */
|
|
0, /* tp_as_number */
|
|
0, /* tp_as_sequence */
|
|
0, /* tp_as_mapping */
|
|
0, /* tp_hash */
|
|
0, /* tp_call */
|
|
0, /* tp_str */
|
|
0, /* tp_getattro */
|
|
0, /* tp_setattro */
|
|
0, /* tp_as_buffer */
|
|
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */
|
|
PLy_plan_doc, /* tp_doc */
|
|
0, /* tp_traverse */
|
|
0, /* tp_clear */
|
|
0, /* tp_richcompare */
|
|
0, /* tp_weaklistoffset */
|
|
0, /* tp_iter */
|
|
0, /* tp_iternext */
|
|
PLy_plan_methods, /* tp_tpmethods */
|
|
};
|
|
|
|
static PySequenceMethods PLy_result_as_sequence = {
|
|
PLy_result_length, /* sq_length */
|
|
NULL, /* sq_concat */
|
|
NULL, /* sq_repeat */
|
|
PLy_result_item, /* sq_item */
|
|
PLy_result_slice, /* sq_slice */
|
|
PLy_result_ass_item, /* sq_ass_item */
|
|
PLy_result_ass_slice, /* sq_ass_slice */
|
|
};
|
|
|
|
static PyMethodDef PLy_result_methods[] = {
|
|
{"nrows", PLy_result_nrows, METH_VARARGS, NULL},
|
|
{"status", PLy_result_status, METH_VARARGS, NULL},
|
|
{NULL, NULL, 0, NULL}
|
|
};
|
|
|
|
static PyTypeObject PLy_ResultType = {
|
|
PyVarObject_HEAD_INIT(NULL, 0)
|
|
"PLyResult", /* tp_name */
|
|
sizeof(PLyResultObject), /* tp_size */
|
|
0, /* tp_itemsize */
|
|
|
|
/*
|
|
* methods
|
|
*/
|
|
PLy_result_dealloc, /* tp_dealloc */
|
|
0, /* tp_print */
|
|
0, /* tp_getattr */
|
|
0, /* tp_setattr */
|
|
0, /* tp_compare */
|
|
0, /* tp_repr */
|
|
0, /* tp_as_number */
|
|
&PLy_result_as_sequence, /* tp_as_sequence */
|
|
0, /* tp_as_mapping */
|
|
0, /* tp_hash */
|
|
0, /* tp_call */
|
|
0, /* tp_str */
|
|
0, /* tp_getattro */
|
|
0, /* tp_setattro */
|
|
0, /* tp_as_buffer */
|
|
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */
|
|
PLy_result_doc, /* tp_doc */
|
|
0, /* tp_traverse */
|
|
0, /* tp_clear */
|
|
0, /* tp_richcompare */
|
|
0, /* tp_weaklistoffset */
|
|
0, /* tp_iter */
|
|
0, /* tp_iternext */
|
|
PLy_result_methods, /* tp_tpmethods */
|
|
};
|
|
|
|
static PyMethodDef PLy_methods[] = {
|
|
/*
|
|
* logging methods
|
|
*/
|
|
{"debug", PLy_debug, METH_VARARGS, NULL},
|
|
{"log", PLy_log, METH_VARARGS, NULL},
|
|
{"info", PLy_info, METH_VARARGS, NULL},
|
|
{"notice", PLy_notice, METH_VARARGS, NULL},
|
|
{"warning", PLy_warning, METH_VARARGS, NULL},
|
|
{"error", PLy_error, METH_VARARGS, NULL},
|
|
{"fatal", PLy_fatal, METH_VARARGS, NULL},
|
|
|
|
/*
|
|
* create a stored plan
|
|
*/
|
|
{"prepare", PLy_spi_prepare, METH_VARARGS, NULL},
|
|
|
|
/*
|
|
* execute a plan or query
|
|
*/
|
|
{"execute", PLy_spi_execute, METH_VARARGS, NULL},
|
|
|
|
{NULL, NULL, 0, NULL}
|
|
};
|
|
|
|
#if PY_MAJOR_VERSION >= 3
|
|
static PyModuleDef PLy_module = {
|
|
PyModuleDef_HEAD_INIT, /* m_base */
|
|
"plpy", /* m_name */
|
|
NULL, /* m_doc */
|
|
-1, /* m_size */
|
|
PLy_methods, /* m_methods */
|
|
};
|
|
#endif
|
|
|
|
/* plan object methods */
|
|
static PyObject *
|
|
PLy_plan_new(void)
|
|
{
|
|
PLyPlanObject *ob;
|
|
|
|
if ((ob = PyObject_New(PLyPlanObject, &PLy_PlanType)) == NULL)
|
|
return NULL;
|
|
|
|
ob->plan = NULL;
|
|
ob->nargs = 0;
|
|
ob->types = NULL;
|
|
ob->values = NULL;
|
|
ob->args = NULL;
|
|
|
|
return (PyObject *) ob;
|
|
}
|
|
|
|
|
|
static void
|
|
PLy_plan_dealloc(PyObject *arg)
|
|
{
|
|
PLyPlanObject *ob = (PLyPlanObject *) arg;
|
|
|
|
if (ob->plan)
|
|
SPI_freeplan(ob->plan);
|
|
if (ob->types)
|
|
PLy_free(ob->types);
|
|
if (ob->values)
|
|
PLy_free(ob->values);
|
|
if (ob->args)
|
|
{
|
|
int i;
|
|
|
|
for (i = 0; i < ob->nargs; i++)
|
|
PLy_typeinfo_dealloc(&ob->args[i]);
|
|
PLy_free(ob->args);
|
|
}
|
|
|
|
arg->ob_type->tp_free(arg);
|
|
}
|
|
|
|
|
|
static PyObject *
|
|
PLy_plan_status(PyObject *self, PyObject *args)
|
|
{
|
|
if (PyArg_ParseTuple(args, ""))
|
|
{
|
|
Py_INCREF(Py_True);
|
|
return Py_True;
|
|
/* return PyInt_FromLong(self->status); */
|
|
}
|
|
PLy_exception_set(PLy_exc_error, "plan.status takes no arguments");
|
|
return NULL;
|
|
}
|
|
|
|
|
|
|
|
/* result object methods */
|
|
|
|
static PyObject *
|
|
PLy_result_new(void)
|
|
{
|
|
PLyResultObject *ob;
|
|
|
|
if ((ob = PyObject_New(PLyResultObject, &PLy_ResultType)) == NULL)
|
|
return NULL;
|
|
|
|
/* ob->tuples = NULL; */
|
|
|
|
Py_INCREF(Py_None);
|
|
ob->status = Py_None;
|
|
ob->nrows = PyInt_FromLong(-1);
|
|
ob->rows = PyList_New(0);
|
|
|
|
return (PyObject *) ob;
|
|
}
|
|
|
|
static void
|
|
PLy_result_dealloc(PyObject *arg)
|
|
{
|
|
PLyResultObject *ob = (PLyResultObject *) arg;
|
|
|
|
Py_XDECREF(ob->nrows);
|
|
Py_XDECREF(ob->rows);
|
|
Py_XDECREF(ob->status);
|
|
|
|
arg->ob_type->tp_free(arg);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_result_nrows(PyObject *self, PyObject *args)
|
|
{
|
|
PLyResultObject *ob = (PLyResultObject *) self;
|
|
|
|
Py_INCREF(ob->nrows);
|
|
return ob->nrows;
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_result_status(PyObject *self, PyObject *args)
|
|
{
|
|
PLyResultObject *ob = (PLyResultObject *) self;
|
|
|
|
Py_INCREF(ob->status);
|
|
return ob->status;
|
|
}
|
|
|
|
static Py_ssize_t
|
|
PLy_result_length(PyObject *arg)
|
|
{
|
|
PLyResultObject *ob = (PLyResultObject *) arg;
|
|
|
|
return PyList_Size(ob->rows);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_result_item(PyObject *arg, Py_ssize_t idx)
|
|
{
|
|
PyObject *rv;
|
|
PLyResultObject *ob = (PLyResultObject *) arg;
|
|
|
|
rv = PyList_GetItem(ob->rows, idx);
|
|
if (rv != NULL)
|
|
Py_INCREF(rv);
|
|
return rv;
|
|
}
|
|
|
|
static int
|
|
PLy_result_ass_item(PyObject *arg, Py_ssize_t idx, PyObject *item)
|
|
{
|
|
int rv;
|
|
PLyResultObject *ob = (PLyResultObject *) arg;
|
|
|
|
Py_INCREF(item);
|
|
rv = PyList_SetItem(ob->rows, idx, item);
|
|
return rv;
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_result_slice(PyObject *arg, Py_ssize_t lidx, Py_ssize_t hidx)
|
|
{
|
|
PyObject *rv;
|
|
PLyResultObject *ob = (PLyResultObject *) arg;
|
|
|
|
rv = PyList_GetSlice(ob->rows, lidx, hidx);
|
|
if (rv == NULL)
|
|
return NULL;
|
|
Py_INCREF(rv);
|
|
return rv;
|
|
}
|
|
|
|
static int
|
|
PLy_result_ass_slice(PyObject *arg, Py_ssize_t lidx, Py_ssize_t hidx, PyObject *slice)
|
|
{
|
|
int rv;
|
|
PLyResultObject *ob = (PLyResultObject *) arg;
|
|
|
|
rv = PyList_SetSlice(ob->rows, lidx, hidx, slice);
|
|
return rv;
|
|
}
|
|
|
|
/* SPI interface */
|
|
static PyObject *
|
|
PLy_spi_prepare(PyObject *self, PyObject *args)
|
|
{
|
|
PLyPlanObject *plan;
|
|
PyObject *list = NULL;
|
|
PyObject *volatile optr = NULL;
|
|
char *query;
|
|
void *tmpplan;
|
|
volatile MemoryContext oldcontext;
|
|
|
|
/* Can't execute more if we have an unhandled error */
|
|
if (PLy_error_in_progress)
|
|
{
|
|
PLy_exception_set(PLy_exc_error, "transaction aborted");
|
|
return NULL;
|
|
}
|
|
|
|
if (!PyArg_ParseTuple(args, "s|O", &query, &list))
|
|
{
|
|
PLy_exception_set(PLy_exc_spi_error,
|
|
"invalid arguments for plpy.prepare");
|
|
return NULL;
|
|
}
|
|
|
|
if (list && (!PySequence_Check(list)))
|
|
{
|
|
PLy_exception_set(PLy_exc_spi_error,
|
|
"second argument of plpy.prepare must be a sequence");
|
|
return NULL;
|
|
}
|
|
|
|
if ((plan = (PLyPlanObject *) PLy_plan_new()) == NULL)
|
|
return NULL;
|
|
|
|
oldcontext = CurrentMemoryContext;
|
|
PG_TRY();
|
|
{
|
|
if (list != NULL)
|
|
{
|
|
int nargs,
|
|
i;
|
|
|
|
nargs = PySequence_Length(list);
|
|
if (nargs > 0)
|
|
{
|
|
plan->nargs = nargs;
|
|
plan->types = PLy_malloc(sizeof(Oid) * nargs);
|
|
plan->values = PLy_malloc(sizeof(Datum) * nargs);
|
|
plan->args = PLy_malloc(sizeof(PLyTypeInfo) * nargs);
|
|
|
|
/*
|
|
* the other loop might throw an exception, if PLyTypeInfo
|
|
* member isn't properly initialized the Py_DECREF(plan) will
|
|
* go boom
|
|
*/
|
|
for (i = 0; i < nargs; i++)
|
|
{
|
|
PLy_typeinfo_init(&plan->args[i]);
|
|
plan->values[i] = PointerGetDatum(NULL);
|
|
}
|
|
|
|
for (i = 0; i < nargs; i++)
|
|
{
|
|
char *sptr;
|
|
HeapTuple typeTup;
|
|
Oid typeId;
|
|
int32 typmod;
|
|
Form_pg_type typeStruct;
|
|
|
|
optr = PySequence_GetItem(list, i);
|
|
if (PyString_Check(optr))
|
|
sptr = PyString_AsString(optr);
|
|
else if (PyUnicode_Check(optr))
|
|
sptr = PLyUnicode_AsString(optr);
|
|
else
|
|
{
|
|
ereport(ERROR,
|
|
(errmsg("plpy.prepare: type name at ordinal position %d is not a string", i)));
|
|
sptr = NULL; /* keep compiler quiet */
|
|
}
|
|
|
|
/********************************************************
|
|
* Resolve argument type names and then look them up by
|
|
* oid in the system cache, and remember the required
|
|
*information for input conversion.
|
|
********************************************************/
|
|
|
|
parseTypeString(sptr, &typeId, &typmod);
|
|
|
|
typeTup = SearchSysCache1(TYPEOID,
|
|
ObjectIdGetDatum(typeId));
|
|
if (!HeapTupleIsValid(typeTup))
|
|
elog(ERROR, "cache lookup failed for type %u", typeId);
|
|
|
|
Py_DECREF(optr);
|
|
optr = NULL; /* this is important */
|
|
|
|
plan->types[i] = typeId;
|
|
typeStruct = (Form_pg_type) GETSTRUCT(typeTup);
|
|
if (typeStruct->typtype != TYPTYPE_COMPOSITE)
|
|
PLy_output_datum_func(&plan->args[i], typeTup);
|
|
else
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("plpy.prepare does not support composite types")));
|
|
ReleaseSysCache(typeTup);
|
|
}
|
|
}
|
|
}
|
|
|
|
pg_verifymbstr(query, strlen(query), false);
|
|
plan->plan = SPI_prepare(query, plan->nargs, plan->types);
|
|
if (plan->plan == NULL)
|
|
elog(ERROR, "SPI_prepare failed: %s",
|
|
SPI_result_code_string(SPI_result));
|
|
|
|
/* transfer plan from procCxt to topCxt */
|
|
tmpplan = plan->plan;
|
|
plan->plan = SPI_saveplan(tmpplan);
|
|
SPI_freeplan(tmpplan);
|
|
if (plan->plan == NULL)
|
|
elog(ERROR, "SPI_saveplan failed: %s",
|
|
SPI_result_code_string(SPI_result));
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
MemoryContextSwitchTo(oldcontext);
|
|
PLy_error_in_progress = CopyErrorData();
|
|
FlushErrorState();
|
|
Py_DECREF(plan);
|
|
Py_XDECREF(optr);
|
|
if (!PyErr_Occurred())
|
|
PLy_exception_set(PLy_exc_spi_error,
|
|
"unrecognized error in PLy_spi_prepare");
|
|
PLy_elog(WARNING, NULL);
|
|
return NULL;
|
|
}
|
|
PG_END_TRY();
|
|
|
|
return (PyObject *) plan;
|
|
}
|
|
|
|
/* execute(query="select * from foo", limit=5)
|
|
* execute(plan=plan, values=(foo, bar), limit=5)
|
|
*/
|
|
static PyObject *
|
|
PLy_spi_execute(PyObject *self, PyObject *args)
|
|
{
|
|
char *query;
|
|
PyObject *plan;
|
|
PyObject *list = NULL;
|
|
long limit = 0;
|
|
|
|
/* Can't execute more if we have an unhandled error */
|
|
if (PLy_error_in_progress)
|
|
{
|
|
PLy_exception_set(PLy_exc_error, "transaction aborted");
|
|
return NULL;
|
|
}
|
|
|
|
if (PyArg_ParseTuple(args, "s|l", &query, &limit))
|
|
return PLy_spi_execute_query(query, limit);
|
|
|
|
PyErr_Clear();
|
|
|
|
if (PyArg_ParseTuple(args, "O|Ol", &plan, &list, &limit) &&
|
|
is_PLyPlanObject(plan))
|
|
return PLy_spi_execute_plan(plan, list, limit);
|
|
|
|
PLy_exception_set(PLy_exc_error, "plpy.execute expected a query or a plan");
|
|
return NULL;
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_spi_execute_plan(PyObject *ob, PyObject *list, long limit)
|
|
{
|
|
volatile int nargs;
|
|
int i,
|
|
rv;
|
|
PLyPlanObject *plan;
|
|
volatile MemoryContext oldcontext;
|
|
|
|
if (list != NULL)
|
|
{
|
|
if (!PySequence_Check(list) || PyString_Check(list) || PyUnicode_Check(list))
|
|
{
|
|
PLy_exception_set(PLy_exc_spi_error, "plpy.execute takes a sequence as its second argument");
|
|
return NULL;
|
|
}
|
|
nargs = PySequence_Length(list);
|
|
}
|
|
else
|
|
nargs = 0;
|
|
|
|
plan = (PLyPlanObject *) ob;
|
|
|
|
if (nargs != plan->nargs)
|
|
{
|
|
char *sv;
|
|
PyObject *so = PyObject_Str(list);
|
|
|
|
if (!so)
|
|
PLy_elog(ERROR, "could not execute plan");
|
|
sv = PyString_AsString(so);
|
|
PLy_exception_set_plural(PLy_exc_spi_error,
|
|
"Expected sequence of %d argument, got %d: %s",
|
|
"Expected sequence of %d arguments, got %d: %s",
|
|
plan->nargs,
|
|
plan->nargs, nargs, sv);
|
|
Py_DECREF(so);
|
|
|
|
return NULL;
|
|
}
|
|
|
|
oldcontext = CurrentMemoryContext;
|
|
PG_TRY();
|
|
{
|
|
char *nulls = palloc(nargs * sizeof(char));
|
|
volatile int j;
|
|
|
|
for (j = 0; j < nargs; j++)
|
|
{
|
|
PyObject *elem;
|
|
|
|
elem = PySequence_GetItem(list, j);
|
|
if (elem != Py_None)
|
|
{
|
|
PG_TRY();
|
|
{
|
|
plan->values[j] =
|
|
plan->args[j].out.d.func(&(plan->args[j].out.d),
|
|
-1,
|
|
elem);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
Py_DECREF(elem);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
Py_DECREF(elem);
|
|
nulls[j] = ' ';
|
|
}
|
|
else
|
|
{
|
|
Py_DECREF(elem);
|
|
plan->values[j] =
|
|
InputFunctionCall(&(plan->args[j].out.d.typfunc),
|
|
NULL,
|
|
plan->args[j].out.d.typioparam,
|
|
-1);
|
|
nulls[j] = 'n';
|
|
}
|
|
}
|
|
|
|
rv = SPI_execute_plan(plan->plan, plan->values, nulls,
|
|
PLy_curr_procedure->fn_readonly, limit);
|
|
|
|
pfree(nulls);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
int k;
|
|
|
|
MemoryContextSwitchTo(oldcontext);
|
|
PLy_error_in_progress = CopyErrorData();
|
|
FlushErrorState();
|
|
|
|
/*
|
|
* cleanup plan->values array
|
|
*/
|
|
for (k = 0; k < nargs; k++)
|
|
{
|
|
if (!plan->args[k].out.d.typbyval &&
|
|
(plan->values[k] != PointerGetDatum(NULL)))
|
|
{
|
|
pfree(DatumGetPointer(plan->values[k]));
|
|
plan->values[k] = PointerGetDatum(NULL);
|
|
}
|
|
}
|
|
|
|
if (!PyErr_Occurred())
|
|
PLy_exception_set(PLy_exc_error,
|
|
"unrecognized error in PLy_spi_execute_plan");
|
|
PLy_elog(WARNING, NULL);
|
|
return NULL;
|
|
}
|
|
PG_END_TRY();
|
|
|
|
for (i = 0; i < nargs; i++)
|
|
{
|
|
if (!plan->args[i].out.d.typbyval &&
|
|
(plan->values[i] != PointerGetDatum(NULL)))
|
|
{
|
|
pfree(DatumGetPointer(plan->values[i]));
|
|
plan->values[i] = PointerGetDatum(NULL);
|
|
}
|
|
}
|
|
|
|
if (rv < 0)
|
|
{
|
|
PLy_exception_set(PLy_exc_spi_error,
|
|
"SPI_execute_plan failed: %s",
|
|
SPI_result_code_string(rv));
|
|
return NULL;
|
|
}
|
|
|
|
return PLy_spi_execute_fetch_result(SPI_tuptable, SPI_processed, rv);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_spi_execute_query(char *query, long limit)
|
|
{
|
|
int rv;
|
|
volatile MemoryContext oldcontext;
|
|
|
|
oldcontext = CurrentMemoryContext;
|
|
PG_TRY();
|
|
{
|
|
pg_verifymbstr(query, strlen(query), false);
|
|
rv = SPI_execute(query, PLy_curr_procedure->fn_readonly, limit);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
MemoryContextSwitchTo(oldcontext);
|
|
PLy_error_in_progress = CopyErrorData();
|
|
FlushErrorState();
|
|
if (!PyErr_Occurred())
|
|
PLy_exception_set(PLy_exc_spi_error,
|
|
"unrecognized error in PLy_spi_execute_query");
|
|
PLy_elog(WARNING, NULL);
|
|
return NULL;
|
|
}
|
|
PG_END_TRY();
|
|
|
|
if (rv < 0)
|
|
{
|
|
PLy_exception_set(PLy_exc_spi_error,
|
|
"SPI_execute failed: %s",
|
|
SPI_result_code_string(rv));
|
|
return NULL;
|
|
}
|
|
|
|
return PLy_spi_execute_fetch_result(SPI_tuptable, SPI_processed, rv);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_spi_execute_fetch_result(SPITupleTable *tuptable, int rows, int status)
|
|
{
|
|
PLyResultObject *result;
|
|
volatile MemoryContext oldcontext;
|
|
|
|
result = (PLyResultObject *) PLy_result_new();
|
|
Py_DECREF(result->status);
|
|
result->status = PyInt_FromLong(status);
|
|
|
|
if (status > 0 && tuptable == NULL)
|
|
{
|
|
Py_DECREF(result->nrows);
|
|
result->nrows = PyInt_FromLong(rows);
|
|
}
|
|
else if (status > 0 && tuptable != NULL)
|
|
{
|
|
PLyTypeInfo args;
|
|
int i;
|
|
|
|
Py_DECREF(result->nrows);
|
|
result->nrows = PyInt_FromLong(rows);
|
|
PLy_typeinfo_init(&args);
|
|
|
|
oldcontext = CurrentMemoryContext;
|
|
PG_TRY();
|
|
{
|
|
if (rows)
|
|
{
|
|
Py_DECREF(result->rows);
|
|
result->rows = PyList_New(rows);
|
|
|
|
PLy_input_tuple_funcs(&args, tuptable->tupdesc);
|
|
for (i = 0; i < rows; i++)
|
|
{
|
|
PyObject *row = PLyDict_FromTuple(&args, tuptable->vals[i],
|
|
tuptable->tupdesc);
|
|
|
|
PyList_SetItem(result->rows, i, row);
|
|
}
|
|
}
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
MemoryContextSwitchTo(oldcontext);
|
|
PLy_error_in_progress = CopyErrorData();
|
|
FlushErrorState();
|
|
if (!PyErr_Occurred())
|
|
PLy_exception_set(PLy_exc_error,
|
|
"unrecognized error in PLy_spi_execute_fetch_result");
|
|
PLy_typeinfo_dealloc(&args);
|
|
SPI_freetuptable(tuptable);
|
|
Py_DECREF(result);
|
|
return NULL;
|
|
}
|
|
PG_END_TRY();
|
|
|
|
PLy_typeinfo_dealloc(&args);
|
|
SPI_freetuptable(tuptable);
|
|
}
|
|
|
|
return (PyObject *) result;
|
|
}
|
|
|
|
|
|
/*
|
|
* language handler and interpreter initialization
|
|
*/
|
|
|
|
#if PY_MAJOR_VERSION >= 3
|
|
static PyMODINIT_FUNC
|
|
PyInit_plpy(void)
|
|
{
|
|
return PyModule_Create(&PLy_module);
|
|
}
|
|
#endif
|
|
|
|
|
|
static const int plpython_python_version = PY_MAJOR_VERSION;
|
|
|
|
/*
|
|
* _PG_init() - library load-time initialization
|
|
*
|
|
* DO NOT make this static nor change its name!
|
|
*/
|
|
void
|
|
_PG_init(void)
|
|
{
|
|
/* Be sure we do initialization only once (should be redundant now) */
|
|
static bool inited = false;
|
|
const int **version_ptr;
|
|
HASHCTL hash_ctl;
|
|
|
|
if (inited)
|
|
return;
|
|
|
|
/* Be sure we don't run Python 2 and 3 in the same session (might crash) */
|
|
version_ptr = (const int **) find_rendezvous_variable("plpython_python_version");
|
|
if (!(*version_ptr))
|
|
*version_ptr = &plpython_python_version;
|
|
else
|
|
{
|
|
if (**version_ptr != plpython_python_version)
|
|
ereport(FATAL,
|
|
(errmsg("Python major version mismatch in session"),
|
|
errdetail("This session has previously used Python major version %d, and it is now attempting to use Python major version %d.",
|
|
**version_ptr, plpython_python_version),
|
|
errhint("Start a new session to use a different Python major version.")));
|
|
}
|
|
|
|
pg_bindtextdomain(TEXTDOMAIN);
|
|
|
|
#if PY_MAJOR_VERSION >= 3
|
|
PyImport_AppendInittab("plpy", PyInit_plpy);
|
|
#endif
|
|
Py_Initialize();
|
|
#if PY_MAJOR_VERSION >= 3
|
|
PyImport_ImportModule("plpy");
|
|
#endif
|
|
PLy_init_interp();
|
|
PLy_init_plpy();
|
|
if (PyErr_Occurred())
|
|
PLy_elog(FATAL, "untrapped error in initialization");
|
|
|
|
memset(&hash_ctl, 0, sizeof(hash_ctl));
|
|
hash_ctl.keysize = sizeof(Oid);
|
|
hash_ctl.entrysize = sizeof(PLyProcedureEntry);
|
|
hash_ctl.hash = oid_hash;
|
|
PLy_procedure_cache = hash_create("PL/Python procedures", 32, &hash_ctl,
|
|
HASH_ELEM | HASH_FUNCTION);
|
|
|
|
memset(&hash_ctl, 0, sizeof(hash_ctl));
|
|
hash_ctl.keysize = sizeof(Oid);
|
|
hash_ctl.entrysize = sizeof(PLyProcedureEntry);
|
|
hash_ctl.hash = oid_hash;
|
|
PLy_trigger_cache = hash_create("PL/Python triggers", 32, &hash_ctl,
|
|
HASH_ELEM | HASH_FUNCTION);
|
|
|
|
inited = true;
|
|
}
|
|
|
|
static void
|
|
PLy_init_interp(void)
|
|
{
|
|
PyObject *mainmod;
|
|
|
|
mainmod = PyImport_AddModule("__main__");
|
|
if (mainmod == NULL || PyErr_Occurred())
|
|
PLy_elog(ERROR, "could not import \"__main__\" module");
|
|
Py_INCREF(mainmod);
|
|
PLy_interp_globals = PyModule_GetDict(mainmod);
|
|
PLy_interp_safe_globals = PyDict_New();
|
|
PyDict_SetItemString(PLy_interp_globals, "GD", PLy_interp_safe_globals);
|
|
Py_DECREF(mainmod);
|
|
if (PLy_interp_globals == NULL || PyErr_Occurred())
|
|
PLy_elog(ERROR, "could not initialize globals");
|
|
}
|
|
|
|
static void
|
|
PLy_init_plpy(void)
|
|
{
|
|
PyObject *main_mod,
|
|
*main_dict,
|
|
*plpy_mod;
|
|
PyObject *plpy,
|
|
*plpy_dict;
|
|
|
|
/*
|
|
* initialize plpy module
|
|
*/
|
|
if (PyType_Ready(&PLy_PlanType) < 0)
|
|
elog(ERROR, "could not initialize PLy_PlanType");
|
|
if (PyType_Ready(&PLy_ResultType) < 0)
|
|
elog(ERROR, "could not initialize PLy_ResultType");
|
|
|
|
#if PY_MAJOR_VERSION >= 3
|
|
plpy = PyModule_Create(&PLy_module);
|
|
#else
|
|
plpy = Py_InitModule("plpy", PLy_methods);
|
|
#endif
|
|
plpy_dict = PyModule_GetDict(plpy);
|
|
|
|
/* PyDict_SetItemString(plpy, "PlanType", (PyObject *) &PLy_PlanType); */
|
|
|
|
PLy_exc_error = PyErr_NewException("plpy.Error", NULL, NULL);
|
|
PLy_exc_fatal = PyErr_NewException("plpy.Fatal", NULL, NULL);
|
|
PLy_exc_spi_error = PyErr_NewException("plpy.SPIError", NULL, NULL);
|
|
PyDict_SetItemString(plpy_dict, "Error", PLy_exc_error);
|
|
PyDict_SetItemString(plpy_dict, "Fatal", PLy_exc_fatal);
|
|
PyDict_SetItemString(plpy_dict, "SPIError", PLy_exc_spi_error);
|
|
|
|
/*
|
|
* initialize main module, and add plpy
|
|
*/
|
|
main_mod = PyImport_AddModule("__main__");
|
|
main_dict = PyModule_GetDict(main_mod);
|
|
plpy_mod = PyImport_AddModule("plpy");
|
|
PyDict_SetItemString(main_dict, "plpy", plpy_mod);
|
|
if (PyErr_Occurred())
|
|
elog(ERROR, "could not initialize plpy");
|
|
}
|
|
|
|
/* the python interface to the elog function
|
|
* don't confuse these with PLy_elog
|
|
*/
|
|
static PyObject *PLy_output(volatile int, PyObject *, PyObject *);
|
|
|
|
static PyObject *
|
|
PLy_debug(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(DEBUG2, self, args);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_log(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(LOG, self, args);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_info(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(INFO, self, args);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_notice(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(NOTICE, self, args);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_warning(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(WARNING, self, args);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_error(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(ERROR, self, args);
|
|
}
|
|
|
|
static PyObject *
|
|
PLy_fatal(PyObject *self, PyObject *args)
|
|
{
|
|
return PLy_output(FATAL, self, args);
|
|
}
|
|
|
|
|
|
static PyObject *
|
|
PLy_output(volatile int level, PyObject *self, PyObject *args)
|
|
{
|
|
PyObject *volatile so;
|
|
char *volatile sv;
|
|
volatile MemoryContext oldcontext;
|
|
|
|
if (PyTuple_Size(args) == 1)
|
|
{
|
|
/*
|
|
* Treat single argument specially to avoid undesirable ('tuple',)
|
|
* decoration.
|
|
*/
|
|
PyObject *o;
|
|
|
|
PyArg_UnpackTuple(args, "plpy.elog", 1, 1, &o);
|
|
so = PyObject_Str(o);
|
|
}
|
|
else
|
|
so = PyObject_Str(args);
|
|
if (so == NULL || ((sv = PyString_AsString(so)) == NULL))
|
|
{
|
|
level = ERROR;
|
|
sv = dgettext(TEXTDOMAIN, "could not parse error message in plpy.elog");
|
|
}
|
|
|
|
oldcontext = CurrentMemoryContext;
|
|
PG_TRY();
|
|
{
|
|
pg_verifymbstr(sv, strlen(sv), false);
|
|
elog(level, "%s", sv);
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
MemoryContextSwitchTo(oldcontext);
|
|
PLy_error_in_progress = CopyErrorData();
|
|
FlushErrorState();
|
|
|
|
PyErr_SetString(PLy_exc_error, sv);
|
|
|
|
/*
|
|
* Note: If sv came from PyString_AsString(), it points into storage
|
|
* owned by so. So free so after using sv.
|
|
*/
|
|
Py_XDECREF(so);
|
|
|
|
/*
|
|
* returning NULL here causes the python interpreter to bail. when
|
|
* control passes back to PLy_procedure_call, we check for PG
|
|
* exceptions and re-throw the error.
|
|
*/
|
|
return NULL;
|
|
}
|
|
PG_END_TRY();
|
|
|
|
Py_XDECREF(so);
|
|
|
|
/*
|
|
* return a legal object so the interpreter will continue on its merry way
|
|
*/
|
|
Py_INCREF(Py_None);
|
|
return Py_None;
|
|
}
|
|
|
|
|
|
/*
|
|
* Get the name of the last procedure called by the backend (the
|
|
* innermost, if a plpython procedure call calls the backend and the
|
|
* backend calls another plpython procedure).
|
|
*
|
|
* NB: this returns the SQL name, not the internal Python procedure name
|
|
*/
|
|
static char *
|
|
PLy_procedure_name(PLyProcedure *proc)
|
|
{
|
|
if (proc == NULL)
|
|
return "<unknown procedure>";
|
|
return proc->proname;
|
|
}
|
|
|
|
/*
|
|
* Call PyErr_SetString with a vprint interface and translation support
|
|
*/
|
|
static void
|
|
PLy_exception_set(PyObject *exc, const char *fmt,...)
|
|
{
|
|
char buf[1024];
|
|
va_list ap;
|
|
|
|
va_start(ap, fmt);
|
|
vsnprintf(buf, sizeof(buf), dgettext(TEXTDOMAIN, fmt), ap);
|
|
va_end(ap);
|
|
|
|
PyErr_SetString(exc, buf);
|
|
}
|
|
|
|
/*
|
|
* The same, pluralized.
|
|
*/
|
|
static void
|
|
PLy_exception_set_plural(PyObject *exc,
|
|
const char *fmt_singular, const char *fmt_plural,
|
|
unsigned long n,...)
|
|
{
|
|
char buf[1024];
|
|
va_list ap;
|
|
|
|
va_start(ap, n);
|
|
vsnprintf(buf, sizeof(buf),
|
|
dngettext(TEXTDOMAIN, fmt_singular, fmt_plural, n),
|
|
ap);
|
|
va_end(ap);
|
|
|
|
PyErr_SetString(exc, buf);
|
|
}
|
|
|
|
/* Emit a PG error or notice, together with any available info about
|
|
* the current Python error, previously set by PLy_exception_set().
|
|
* This should be used to propagate Python errors into PG. If fmt is
|
|
* NULL, the Python error becomes the primary error message, otherwise
|
|
* it becomes the detail.
|
|
*/
|
|
static void
|
|
PLy_elog(int elevel, const char *fmt,...)
|
|
{
|
|
char *xmsg;
|
|
int xlevel;
|
|
StringInfoData emsg;
|
|
|
|
xmsg = PLy_traceback(&xlevel);
|
|
|
|
if (fmt)
|
|
{
|
|
initStringInfo(&emsg);
|
|
for (;;)
|
|
{
|
|
va_list ap;
|
|
bool success;
|
|
|
|
va_start(ap, fmt);
|
|
success = appendStringInfoVA(&emsg, dgettext(TEXTDOMAIN, fmt), ap);
|
|
va_end(ap);
|
|
if (success)
|
|
break;
|
|
enlargeStringInfo(&emsg, emsg.maxlen);
|
|
}
|
|
}
|
|
|
|
PG_TRY();
|
|
{
|
|
if (fmt)
|
|
ereport(elevel,
|
|
(errmsg("PL/Python: %s", emsg.data),
|
|
(xmsg) ? errdetail("%s", xmsg) : 0));
|
|
else
|
|
ereport(elevel,
|
|
(errmsg("PL/Python: %s", xmsg)));
|
|
}
|
|
PG_CATCH();
|
|
{
|
|
if (fmt)
|
|
pfree(emsg.data);
|
|
if (xmsg)
|
|
pfree(xmsg);
|
|
PG_RE_THROW();
|
|
}
|
|
PG_END_TRY();
|
|
|
|
if (fmt)
|
|
pfree(emsg.data);
|
|
if (xmsg)
|
|
pfree(xmsg);
|
|
}
|
|
|
|
static char *
|
|
PLy_traceback(int *xlevel)
|
|
{
|
|
PyObject *e,
|
|
*v,
|
|
*tb;
|
|
PyObject *e_type_o;
|
|
PyObject *e_module_o;
|
|
char *e_type_s = NULL;
|
|
char *e_module_s = NULL;
|
|
PyObject *vob = NULL;
|
|
char *vstr;
|
|
StringInfoData xstr;
|
|
|
|
/*
|
|
* get the current exception
|
|
*/
|
|
PyErr_Fetch(&e, &v, &tb);
|
|
|
|
/*
|
|
* oops, no exception, return
|
|
*/
|
|
if (e == NULL)
|
|
{
|
|
*xlevel = WARNING;
|
|
return NULL;
|
|
}
|
|
|
|
PyErr_NormalizeException(&e, &v, &tb);
|
|
Py_XDECREF(tb);
|
|
|
|
e_type_o = PyObject_GetAttrString(e, "__name__");
|
|
e_module_o = PyObject_GetAttrString(e, "__module__");
|
|
if (e_type_o)
|
|
e_type_s = PyString_AsString(e_type_o);
|
|
if (e_type_s)
|
|
e_module_s = PyString_AsString(e_module_o);
|
|
|
|
if (v && ((vob = PyObject_Str(v)) != NULL))
|
|
vstr = PyString_AsString(vob);
|
|
else
|
|
vstr = "unknown";
|
|
|
|
initStringInfo(&xstr);
|
|
if (!e_type_s || !e_module_s)
|
|
{
|
|
if (PyString_Check(e))
|
|
/* deprecated string exceptions */
|
|
appendStringInfoString(&xstr, PyString_AsString(e));
|
|
else
|
|
/* shouldn't happen */
|
|
appendStringInfoString(&xstr, "unrecognized exception");
|
|
}
|
|
/* mimics behavior of traceback.format_exception_only */
|
|
else if (strcmp(e_module_s, "builtins") == 0
|
|
|| strcmp(e_module_s, "__main__") == 0
|
|
|| strcmp(e_module_s, "exceptions") == 0)
|
|
appendStringInfo(&xstr, "%s", e_type_s);
|
|
else
|
|
appendStringInfo(&xstr, "%s.%s", e_module_s, e_type_s);
|
|
appendStringInfo(&xstr, ": %s", vstr);
|
|
|
|
Py_XDECREF(e_type_o);
|
|
Py_XDECREF(e_module_o);
|
|
Py_XDECREF(vob);
|
|
Py_XDECREF(v);
|
|
|
|
/*
|
|
* intuit an appropriate error level based on the exception type
|
|
*/
|
|
if (PLy_exc_error && PyErr_GivenExceptionMatches(e, PLy_exc_error))
|
|
*xlevel = ERROR;
|
|
else if (PLy_exc_fatal && PyErr_GivenExceptionMatches(e, PLy_exc_fatal))
|
|
*xlevel = FATAL;
|
|
else
|
|
*xlevel = ERROR;
|
|
|
|
Py_DECREF(e);
|
|
return xstr.data;
|
|
}
|
|
|
|
/* python module code */
|
|
|
|
/* some dumb utility functions */
|
|
static void *
|
|
PLy_malloc(size_t bytes)
|
|
{
|
|
/* We need our allocations to be long-lived, so use TopMemoryContext */
|
|
return MemoryContextAlloc(TopMemoryContext, bytes);
|
|
}
|
|
|
|
static void *
|
|
PLy_malloc0(size_t bytes)
|
|
{
|
|
void *ptr = PLy_malloc(bytes);
|
|
|
|
MemSet(ptr, 0, bytes);
|
|
return ptr;
|
|
}
|
|
|
|
static char *
|
|
PLy_strdup(const char *str)
|
|
{
|
|
char *result;
|
|
size_t len;
|
|
|
|
len = strlen(str) + 1;
|
|
result = PLy_malloc(len);
|
|
memcpy(result, str, len);
|
|
|
|
return result;
|
|
}
|
|
|
|
/* define this away */
|
|
static void
|
|
PLy_free(void *ptr)
|
|
{
|
|
pfree(ptr);
|
|
}
|
|
|
|
/*
|
|
* Convert a Python unicode object to a Python string/bytes object in
|
|
* PostgreSQL server encoding. Reference ownership is passed to the
|
|
* caller.
|
|
*/
|
|
static PyObject *
|
|
PLyUnicode_Bytes(PyObject *unicode)
|
|
{
|
|
PyObject *rv;
|
|
const char *serverenc;
|
|
|
|
/*
|
|
* Python understands almost all PostgreSQL encoding names, but it doesn't
|
|
* know SQL_ASCII.
|
|
*/
|
|
if (GetDatabaseEncoding() == PG_SQL_ASCII)
|
|
serverenc = "ascii";
|
|
else
|
|
serverenc = GetDatabaseEncodingName();
|
|
rv = PyUnicode_AsEncodedString(unicode, serverenc, "strict");
|
|
if (rv == NULL)
|
|
PLy_elog(ERROR, "could not convert Python Unicode object to PostgreSQL server encoding");
|
|
return rv;
|
|
}
|
|
|
|
/*
|
|
* Convert a Python unicode object to a C string in PostgreSQL server
|
|
* encoding. No Python object reference is passed out of this
|
|
* function. The result is palloc'ed.
|
|
*
|
|
* Note that this function is disguised as PyString_AsString() when
|
|
* using Python 3. That function retuns a pointer into the internal
|
|
* memory of the argument, which isn't exactly the interface of this
|
|
* function. But in either case you get a rather short-lived
|
|
* reference that you ought to better leave alone.
|
|
*/
|
|
static char *
|
|
PLyUnicode_AsString(PyObject *unicode)
|
|
{
|
|
PyObject *o = PLyUnicode_Bytes(unicode);
|
|
char *rv = pstrdup(PyBytes_AsString(o));
|
|
|
|
Py_XDECREF(o);
|
|
return rv;
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION >= 3
|
|
/*
|
|
* Convert a C string in the PostgreSQL server encoding to a Python
|
|
* unicode object. Reference ownership is passed to the caller.
|
|
*/
|
|
static PyObject *
|
|
PLyUnicode_FromString(const char *s)
|
|
{
|
|
char *utf8string;
|
|
PyObject *o;
|
|
|
|
utf8string = (char *) pg_do_encoding_conversion((unsigned char *) s,
|
|
strlen(s),
|
|
GetDatabaseEncoding(),
|
|
PG_UTF8);
|
|
|
|
o = PyUnicode_FromString(utf8string);
|
|
|
|
if (utf8string != s)
|
|
pfree(utf8string);
|
|
|
|
return o;
|
|
}
|
|
|
|
#endif /* PY_MAJOR_VERSION >= 3 */
|