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This requires a bit of further infrastructure-extension to allow trapping errors reported by numeric_in and pg_unicode_to_server, but otherwise it's pretty straightforward. In the case of jsonb_in, we are only capturing errors reported during the initial "parse" phase. The value-construction phase (JsonbValueToJsonb) can also throw errors if assorted implementation limits are exceeded. We should improve that, but it seems like a separable project. Andrew Dunstan and Tom Lane Discussion: https://postgr.es/m/3bac9841-fe07-713d-fa42-606c225567d6@dunslane.net
1370 lines
32 KiB
C
1370 lines
32 KiB
C
/*-------------------------------------------------------------------------
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*
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* json.c
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* JSON data type support.
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*
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* Portions Copyright (c) 1996-2022, PostgreSQL Global Development Group
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* Portions Copyright (c) 1994, Regents of the University of California
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*
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* IDENTIFICATION
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* src/backend/utils/adt/json.c
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*
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*-------------------------------------------------------------------------
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*/
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#include "postgres.h"
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#include "catalog/pg_type.h"
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#include "funcapi.h"
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#include "libpq/pqformat.h"
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#include "miscadmin.h"
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#include "parser/parse_coerce.h"
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#include "utils/array.h"
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#include "utils/builtins.h"
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#include "utils/date.h"
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#include "utils/datetime.h"
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#include "utils/json.h"
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#include "utils/jsonfuncs.h"
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#include "utils/lsyscache.h"
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#include "utils/typcache.h"
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typedef enum /* type categories for datum_to_json */
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{
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JSONTYPE_NULL, /* null, so we didn't bother to identify */
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JSONTYPE_BOOL, /* boolean (built-in types only) */
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JSONTYPE_NUMERIC, /* numeric (ditto) */
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JSONTYPE_DATE, /* we use special formatting for datetimes */
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JSONTYPE_TIMESTAMP,
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JSONTYPE_TIMESTAMPTZ,
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JSONTYPE_JSON, /* JSON itself (and JSONB) */
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JSONTYPE_ARRAY, /* array */
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JSONTYPE_COMPOSITE, /* composite */
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JSONTYPE_CAST, /* something with an explicit cast to JSON */
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JSONTYPE_OTHER /* all else */
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} JsonTypeCategory;
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typedef struct JsonAggState
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{
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StringInfo str;
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JsonTypeCategory key_category;
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Oid key_output_func;
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JsonTypeCategory val_category;
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Oid val_output_func;
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} JsonAggState;
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static void composite_to_json(Datum composite, StringInfo result,
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bool use_line_feeds);
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static void array_dim_to_json(StringInfo result, int dim, int ndims, int *dims,
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Datum *vals, bool *nulls, int *valcount,
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JsonTypeCategory tcategory, Oid outfuncoid,
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bool use_line_feeds);
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static void array_to_json_internal(Datum array, StringInfo result,
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bool use_line_feeds);
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static void json_categorize_type(Oid typoid,
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JsonTypeCategory *tcategory,
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Oid *outfuncoid);
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static void datum_to_json(Datum val, bool is_null, StringInfo result,
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JsonTypeCategory tcategory, Oid outfuncoid,
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bool key_scalar);
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static void add_json(Datum val, bool is_null, StringInfo result,
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Oid val_type, bool key_scalar);
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static text *catenate_stringinfo_string(StringInfo buffer, const char *addon);
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/*
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* Input.
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*/
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Datum
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json_in(PG_FUNCTION_ARGS)
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{
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char *json = PG_GETARG_CSTRING(0);
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text *result = cstring_to_text(json);
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JsonLexContext *lex;
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/* validate it */
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lex = makeJsonLexContext(result, false);
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if (!pg_parse_json_or_errsave(lex, &nullSemAction, fcinfo->context))
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PG_RETURN_NULL();
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/* Internal representation is the same as text */
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PG_RETURN_TEXT_P(result);
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}
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/*
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* Output.
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*/
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Datum
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json_out(PG_FUNCTION_ARGS)
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{
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/* we needn't detoast because text_to_cstring will handle that */
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Datum txt = PG_GETARG_DATUM(0);
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PG_RETURN_CSTRING(TextDatumGetCString(txt));
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}
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/*
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* Binary send.
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*/
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Datum
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json_send(PG_FUNCTION_ARGS)
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{
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text *t = PG_GETARG_TEXT_PP(0);
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StringInfoData buf;
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pq_begintypsend(&buf);
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pq_sendtext(&buf, VARDATA_ANY(t), VARSIZE_ANY_EXHDR(t));
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PG_RETURN_BYTEA_P(pq_endtypsend(&buf));
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}
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/*
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* Binary receive.
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*/
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Datum
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json_recv(PG_FUNCTION_ARGS)
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{
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StringInfo buf = (StringInfo) PG_GETARG_POINTER(0);
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char *str;
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int nbytes;
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JsonLexContext *lex;
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str = pq_getmsgtext(buf, buf->len - buf->cursor, &nbytes);
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/* Validate it. */
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lex = makeJsonLexContextCstringLen(str, nbytes, GetDatabaseEncoding(), false);
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pg_parse_json_or_ereport(lex, &nullSemAction);
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PG_RETURN_TEXT_P(cstring_to_text_with_len(str, nbytes));
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}
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/*
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* Determine how we want to print values of a given type in datum_to_json.
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*
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* Given the datatype OID, return its JsonTypeCategory, as well as the type's
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* output function OID. If the returned category is JSONTYPE_CAST, we
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* return the OID of the type->JSON cast function instead.
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*/
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static void
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json_categorize_type(Oid typoid,
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JsonTypeCategory *tcategory,
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Oid *outfuncoid)
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{
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bool typisvarlena;
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/* Look through any domain */
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typoid = getBaseType(typoid);
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*outfuncoid = InvalidOid;
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/*
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* We need to get the output function for everything except date and
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* timestamp types, array and composite types, booleans, and non-builtin
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* types where there's a cast to json.
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*/
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switch (typoid)
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{
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case BOOLOID:
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*tcategory = JSONTYPE_BOOL;
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break;
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case INT2OID:
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case INT4OID:
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case INT8OID:
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case FLOAT4OID:
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case FLOAT8OID:
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case NUMERICOID:
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getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
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*tcategory = JSONTYPE_NUMERIC;
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break;
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case DATEOID:
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*tcategory = JSONTYPE_DATE;
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break;
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case TIMESTAMPOID:
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*tcategory = JSONTYPE_TIMESTAMP;
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break;
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case TIMESTAMPTZOID:
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*tcategory = JSONTYPE_TIMESTAMPTZ;
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break;
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case JSONOID:
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case JSONBOID:
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getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
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*tcategory = JSONTYPE_JSON;
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break;
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default:
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/* Check for arrays and composites */
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if (OidIsValid(get_element_type(typoid)) || typoid == ANYARRAYOID
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|| typoid == ANYCOMPATIBLEARRAYOID || typoid == RECORDARRAYOID)
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*tcategory = JSONTYPE_ARRAY;
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else if (type_is_rowtype(typoid)) /* includes RECORDOID */
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*tcategory = JSONTYPE_COMPOSITE;
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else
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{
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/* It's probably the general case ... */
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*tcategory = JSONTYPE_OTHER;
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/* but let's look for a cast to json, if it's not built-in */
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if (typoid >= FirstNormalObjectId)
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{
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Oid castfunc;
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CoercionPathType ctype;
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ctype = find_coercion_pathway(JSONOID, typoid,
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COERCION_EXPLICIT,
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&castfunc);
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if (ctype == COERCION_PATH_FUNC && OidIsValid(castfunc))
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{
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*tcategory = JSONTYPE_CAST;
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*outfuncoid = castfunc;
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}
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else
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{
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/* non builtin type with no cast */
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getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
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}
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}
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else
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{
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/* any other builtin type */
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getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
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}
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}
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break;
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}
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}
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/*
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* Turn a Datum into JSON text, appending the string to "result".
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*
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* tcategory and outfuncoid are from a previous call to json_categorize_type,
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* except that if is_null is true then they can be invalid.
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*
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* If key_scalar is true, the value is being printed as a key, so insist
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* it's of an acceptable type, and force it to be quoted.
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*/
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static void
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datum_to_json(Datum val, bool is_null, StringInfo result,
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JsonTypeCategory tcategory, Oid outfuncoid,
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bool key_scalar)
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{
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char *outputstr;
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text *jsontext;
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check_stack_depth();
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/* callers are expected to ensure that null keys are not passed in */
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Assert(!(key_scalar && is_null));
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if (is_null)
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{
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appendStringInfoString(result, "null");
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return;
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}
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if (key_scalar &&
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(tcategory == JSONTYPE_ARRAY ||
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tcategory == JSONTYPE_COMPOSITE ||
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tcategory == JSONTYPE_JSON ||
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tcategory == JSONTYPE_CAST))
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ereport(ERROR,
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(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
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errmsg("key value must be scalar, not array, composite, or json")));
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switch (tcategory)
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{
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case JSONTYPE_ARRAY:
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array_to_json_internal(val, result, false);
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break;
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case JSONTYPE_COMPOSITE:
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composite_to_json(val, result, false);
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break;
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case JSONTYPE_BOOL:
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outputstr = DatumGetBool(val) ? "true" : "false";
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if (key_scalar)
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escape_json(result, outputstr);
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else
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appendStringInfoString(result, outputstr);
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break;
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case JSONTYPE_NUMERIC:
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outputstr = OidOutputFunctionCall(outfuncoid, val);
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/*
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* Don't call escape_json for a non-key if it's a valid JSON
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* number.
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*/
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if (!key_scalar && IsValidJsonNumber(outputstr, strlen(outputstr)))
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appendStringInfoString(result, outputstr);
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else
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escape_json(result, outputstr);
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pfree(outputstr);
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break;
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case JSONTYPE_DATE:
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{
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char buf[MAXDATELEN + 1];
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JsonEncodeDateTime(buf, val, DATEOID, NULL);
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appendStringInfo(result, "\"%s\"", buf);
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}
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break;
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case JSONTYPE_TIMESTAMP:
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{
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char buf[MAXDATELEN + 1];
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JsonEncodeDateTime(buf, val, TIMESTAMPOID, NULL);
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appendStringInfo(result, "\"%s\"", buf);
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}
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break;
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case JSONTYPE_TIMESTAMPTZ:
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{
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char buf[MAXDATELEN + 1];
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JsonEncodeDateTime(buf, val, TIMESTAMPTZOID, NULL);
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appendStringInfo(result, "\"%s\"", buf);
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}
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break;
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case JSONTYPE_JSON:
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/* JSON and JSONB output will already be escaped */
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outputstr = OidOutputFunctionCall(outfuncoid, val);
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appendStringInfoString(result, outputstr);
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pfree(outputstr);
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break;
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case JSONTYPE_CAST:
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/* outfuncoid refers to a cast function, not an output function */
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jsontext = DatumGetTextPP(OidFunctionCall1(outfuncoid, val));
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outputstr = text_to_cstring(jsontext);
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appendStringInfoString(result, outputstr);
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pfree(outputstr);
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pfree(jsontext);
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break;
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default:
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outputstr = OidOutputFunctionCall(outfuncoid, val);
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escape_json(result, outputstr);
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pfree(outputstr);
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break;
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}
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}
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/*
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* Encode 'value' of datetime type 'typid' into JSON string in ISO format using
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* optionally preallocated buffer 'buf'. Optional 'tzp' determines time-zone
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* offset (in seconds) in which we want to show timestamptz.
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*/
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char *
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JsonEncodeDateTime(char *buf, Datum value, Oid typid, const int *tzp)
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{
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if (!buf)
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buf = palloc(MAXDATELEN + 1);
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switch (typid)
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{
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case DATEOID:
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{
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DateADT date;
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struct pg_tm tm;
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date = DatumGetDateADT(value);
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/* Same as date_out(), but forcing DateStyle */
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if (DATE_NOT_FINITE(date))
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EncodeSpecialDate(date, buf);
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else
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{
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j2date(date + POSTGRES_EPOCH_JDATE,
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&(tm.tm_year), &(tm.tm_mon), &(tm.tm_mday));
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EncodeDateOnly(&tm, USE_XSD_DATES, buf);
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}
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}
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break;
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case TIMEOID:
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{
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TimeADT time = DatumGetTimeADT(value);
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struct pg_tm tt,
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*tm = &tt;
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fsec_t fsec;
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/* Same as time_out(), but forcing DateStyle */
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time2tm(time, tm, &fsec);
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EncodeTimeOnly(tm, fsec, false, 0, USE_XSD_DATES, buf);
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}
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break;
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case TIMETZOID:
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{
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TimeTzADT *time = DatumGetTimeTzADTP(value);
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struct pg_tm tt,
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*tm = &tt;
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fsec_t fsec;
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int tz;
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/* Same as timetz_out(), but forcing DateStyle */
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timetz2tm(time, tm, &fsec, &tz);
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EncodeTimeOnly(tm, fsec, true, tz, USE_XSD_DATES, buf);
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}
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break;
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case TIMESTAMPOID:
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{
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Timestamp timestamp;
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struct pg_tm tm;
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fsec_t fsec;
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timestamp = DatumGetTimestamp(value);
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/* Same as timestamp_out(), but forcing DateStyle */
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if (TIMESTAMP_NOT_FINITE(timestamp))
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EncodeSpecialTimestamp(timestamp, buf);
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else if (timestamp2tm(timestamp, NULL, &tm, &fsec, NULL, NULL) == 0)
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EncodeDateTime(&tm, fsec, false, 0, NULL, USE_XSD_DATES, buf);
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else
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ereport(ERROR,
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(errcode(ERRCODE_DATETIME_VALUE_OUT_OF_RANGE),
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errmsg("timestamp out of range")));
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}
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break;
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case TIMESTAMPTZOID:
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{
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TimestampTz timestamp;
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struct pg_tm tm;
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int tz;
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fsec_t fsec;
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const char *tzn = NULL;
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timestamp = DatumGetTimestampTz(value);
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/*
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* If a time zone is specified, we apply the time-zone shift,
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* convert timestamptz to pg_tm as if it were without a time
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* zone, and then use the specified time zone for converting
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* the timestamp into a string.
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*/
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if (tzp)
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{
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tz = *tzp;
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timestamp -= (TimestampTz) tz * USECS_PER_SEC;
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}
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|
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/* Same as timestamptz_out(), but forcing DateStyle */
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if (TIMESTAMP_NOT_FINITE(timestamp))
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EncodeSpecialTimestamp(timestamp, buf);
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else if (timestamp2tm(timestamp, tzp ? NULL : &tz, &tm, &fsec,
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tzp ? NULL : &tzn, NULL) == 0)
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{
|
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if (tzp)
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tm.tm_isdst = 1; /* set time-zone presence flag */
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|
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EncodeDateTime(&tm, fsec, true, tz, tzn, USE_XSD_DATES, buf);
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}
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else
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ereport(ERROR,
|
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(errcode(ERRCODE_DATETIME_VALUE_OUT_OF_RANGE),
|
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errmsg("timestamp out of range")));
|
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}
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break;
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default:
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elog(ERROR, "unknown jsonb value datetime type oid %u", typid);
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return NULL;
|
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}
|
|
|
|
return buf;
|
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}
|
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|
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/*
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* Process a single dimension of an array.
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* If it's the innermost dimension, output the values, otherwise call
|
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* ourselves recursively to process the next dimension.
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*/
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static void
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array_dim_to_json(StringInfo result, int dim, int ndims, int *dims, Datum *vals,
|
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bool *nulls, int *valcount, JsonTypeCategory tcategory,
|
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Oid outfuncoid, bool use_line_feeds)
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|
{
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int i;
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const char *sep;
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Assert(dim < ndims);
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|
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sep = use_line_feeds ? ",\n " : ",";
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|
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appendStringInfoChar(result, '[');
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|
|
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for (i = 1; i <= dims[dim]; i++)
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{
|
|
if (i > 1)
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appendStringInfoString(result, sep);
|
|
|
|
if (dim + 1 == ndims)
|
|
{
|
|
datum_to_json(vals[*valcount], nulls[*valcount], result, tcategory,
|
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outfuncoid, false);
|
|
(*valcount)++;
|
|
}
|
|
else
|
|
{
|
|
/*
|
|
* Do we want line feeds on inner dimensions of arrays? For now
|
|
* we'll say no.
|
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*/
|
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array_dim_to_json(result, dim + 1, ndims, dims, vals, nulls,
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valcount, tcategory, outfuncoid, false);
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}
|
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}
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|
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appendStringInfoChar(result, ']');
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}
|
|
|
|
/*
|
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* Turn an array into JSON.
|
|
*/
|
|
static void
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array_to_json_internal(Datum array, StringInfo result, bool use_line_feeds)
|
|
{
|
|
ArrayType *v = DatumGetArrayTypeP(array);
|
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Oid element_type = ARR_ELEMTYPE(v);
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|
int *dim;
|
|
int ndim;
|
|
int nitems;
|
|
int count = 0;
|
|
Datum *elements;
|
|
bool *nulls;
|
|
int16 typlen;
|
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bool typbyval;
|
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char typalign;
|
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JsonTypeCategory tcategory;
|
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Oid outfuncoid;
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ndim = ARR_NDIM(v);
|
|
dim = ARR_DIMS(v);
|
|
nitems = ArrayGetNItems(ndim, dim);
|
|
|
|
if (nitems <= 0)
|
|
{
|
|
appendStringInfoString(result, "[]");
|
|
return;
|
|
}
|
|
|
|
get_typlenbyvalalign(element_type,
|
|
&typlen, &typbyval, &typalign);
|
|
|
|
json_categorize_type(element_type,
|
|
&tcategory, &outfuncoid);
|
|
|
|
deconstruct_array(v, element_type, typlen, typbyval,
|
|
typalign, &elements, &nulls,
|
|
&nitems);
|
|
|
|
array_dim_to_json(result, 0, ndim, dim, elements, nulls, &count, tcategory,
|
|
outfuncoid, use_line_feeds);
|
|
|
|
pfree(elements);
|
|
pfree(nulls);
|
|
}
|
|
|
|
/*
|
|
* Turn a composite / record into JSON.
|
|
*/
|
|
static void
|
|
composite_to_json(Datum composite, StringInfo result, bool use_line_feeds)
|
|
{
|
|
HeapTupleHeader td;
|
|
Oid tupType;
|
|
int32 tupTypmod;
|
|
TupleDesc tupdesc;
|
|
HeapTupleData tmptup,
|
|
*tuple;
|
|
int i;
|
|
bool needsep = false;
|
|
const char *sep;
|
|
|
|
sep = use_line_feeds ? ",\n " : ",";
|
|
|
|
td = DatumGetHeapTupleHeader(composite);
|
|
|
|
/* Extract rowtype info and find a tupdesc */
|
|
tupType = HeapTupleHeaderGetTypeId(td);
|
|
tupTypmod = HeapTupleHeaderGetTypMod(td);
|
|
tupdesc = lookup_rowtype_tupdesc(tupType, tupTypmod);
|
|
|
|
/* Build a temporary HeapTuple control structure */
|
|
tmptup.t_len = HeapTupleHeaderGetDatumLength(td);
|
|
tmptup.t_data = td;
|
|
tuple = &tmptup;
|
|
|
|
appendStringInfoChar(result, '{');
|
|
|
|
for (i = 0; i < tupdesc->natts; i++)
|
|
{
|
|
Datum val;
|
|
bool isnull;
|
|
char *attname;
|
|
JsonTypeCategory tcategory;
|
|
Oid outfuncoid;
|
|
Form_pg_attribute att = TupleDescAttr(tupdesc, i);
|
|
|
|
if (att->attisdropped)
|
|
continue;
|
|
|
|
if (needsep)
|
|
appendStringInfoString(result, sep);
|
|
needsep = true;
|
|
|
|
attname = NameStr(att->attname);
|
|
escape_json(result, attname);
|
|
appendStringInfoChar(result, ':');
|
|
|
|
val = heap_getattr(tuple, i + 1, tupdesc, &isnull);
|
|
|
|
if (isnull)
|
|
{
|
|
tcategory = JSONTYPE_NULL;
|
|
outfuncoid = InvalidOid;
|
|
}
|
|
else
|
|
json_categorize_type(att->atttypid, &tcategory, &outfuncoid);
|
|
|
|
datum_to_json(val, isnull, result, tcategory, outfuncoid, false);
|
|
}
|
|
|
|
appendStringInfoChar(result, '}');
|
|
ReleaseTupleDesc(tupdesc);
|
|
}
|
|
|
|
/*
|
|
* Append JSON text for "val" to "result".
|
|
*
|
|
* This is just a thin wrapper around datum_to_json. If the same type will be
|
|
* printed many times, avoid using this; better to do the json_categorize_type
|
|
* lookups only once.
|
|
*/
|
|
static void
|
|
add_json(Datum val, bool is_null, StringInfo result,
|
|
Oid val_type, bool key_scalar)
|
|
{
|
|
JsonTypeCategory tcategory;
|
|
Oid outfuncoid;
|
|
|
|
if (val_type == InvalidOid)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("could not determine input data type")));
|
|
|
|
if (is_null)
|
|
{
|
|
tcategory = JSONTYPE_NULL;
|
|
outfuncoid = InvalidOid;
|
|
}
|
|
else
|
|
json_categorize_type(val_type,
|
|
&tcategory, &outfuncoid);
|
|
|
|
datum_to_json(val, is_null, result, tcategory, outfuncoid, key_scalar);
|
|
}
|
|
|
|
/*
|
|
* SQL function array_to_json(row)
|
|
*/
|
|
Datum
|
|
array_to_json(PG_FUNCTION_ARGS)
|
|
{
|
|
Datum array = PG_GETARG_DATUM(0);
|
|
StringInfo result;
|
|
|
|
result = makeStringInfo();
|
|
|
|
array_to_json_internal(array, result, false);
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* SQL function array_to_json(row, prettybool)
|
|
*/
|
|
Datum
|
|
array_to_json_pretty(PG_FUNCTION_ARGS)
|
|
{
|
|
Datum array = PG_GETARG_DATUM(0);
|
|
bool use_line_feeds = PG_GETARG_BOOL(1);
|
|
StringInfo result;
|
|
|
|
result = makeStringInfo();
|
|
|
|
array_to_json_internal(array, result, use_line_feeds);
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* SQL function row_to_json(row)
|
|
*/
|
|
Datum
|
|
row_to_json(PG_FUNCTION_ARGS)
|
|
{
|
|
Datum array = PG_GETARG_DATUM(0);
|
|
StringInfo result;
|
|
|
|
result = makeStringInfo();
|
|
|
|
composite_to_json(array, result, false);
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* SQL function row_to_json(row, prettybool)
|
|
*/
|
|
Datum
|
|
row_to_json_pretty(PG_FUNCTION_ARGS)
|
|
{
|
|
Datum array = PG_GETARG_DATUM(0);
|
|
bool use_line_feeds = PG_GETARG_BOOL(1);
|
|
StringInfo result;
|
|
|
|
result = makeStringInfo();
|
|
|
|
composite_to_json(array, result, use_line_feeds);
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* SQL function to_json(anyvalue)
|
|
*/
|
|
Datum
|
|
to_json(PG_FUNCTION_ARGS)
|
|
{
|
|
Datum val = PG_GETARG_DATUM(0);
|
|
Oid val_type = get_fn_expr_argtype(fcinfo->flinfo, 0);
|
|
StringInfo result;
|
|
JsonTypeCategory tcategory;
|
|
Oid outfuncoid;
|
|
|
|
if (val_type == InvalidOid)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("could not determine input data type")));
|
|
|
|
json_categorize_type(val_type,
|
|
&tcategory, &outfuncoid);
|
|
|
|
result = makeStringInfo();
|
|
|
|
datum_to_json(val, false, result, tcategory, outfuncoid, false);
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* json_agg transition function
|
|
*
|
|
* aggregate input column as a json array value.
|
|
*/
|
|
Datum
|
|
json_agg_transfn(PG_FUNCTION_ARGS)
|
|
{
|
|
MemoryContext aggcontext,
|
|
oldcontext;
|
|
JsonAggState *state;
|
|
Datum val;
|
|
|
|
if (!AggCheckCallContext(fcinfo, &aggcontext))
|
|
{
|
|
/* cannot be called directly because of internal-type argument */
|
|
elog(ERROR, "json_agg_transfn called in non-aggregate context");
|
|
}
|
|
|
|
if (PG_ARGISNULL(0))
|
|
{
|
|
Oid arg_type = get_fn_expr_argtype(fcinfo->flinfo, 1);
|
|
|
|
if (arg_type == InvalidOid)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("could not determine input data type")));
|
|
|
|
/*
|
|
* Make this state object in a context where it will persist for the
|
|
* duration of the aggregate call. MemoryContextSwitchTo is only
|
|
* needed the first time, as the StringInfo routines make sure they
|
|
* use the right context to enlarge the object if necessary.
|
|
*/
|
|
oldcontext = MemoryContextSwitchTo(aggcontext);
|
|
state = (JsonAggState *) palloc(sizeof(JsonAggState));
|
|
state->str = makeStringInfo();
|
|
MemoryContextSwitchTo(oldcontext);
|
|
|
|
appendStringInfoChar(state->str, '[');
|
|
json_categorize_type(arg_type, &state->val_category,
|
|
&state->val_output_func);
|
|
}
|
|
else
|
|
{
|
|
state = (JsonAggState *) PG_GETARG_POINTER(0);
|
|
appendStringInfoString(state->str, ", ");
|
|
}
|
|
|
|
/* fast path for NULLs */
|
|
if (PG_ARGISNULL(1))
|
|
{
|
|
datum_to_json((Datum) 0, true, state->str, JSONTYPE_NULL,
|
|
InvalidOid, false);
|
|
PG_RETURN_POINTER(state);
|
|
}
|
|
|
|
val = PG_GETARG_DATUM(1);
|
|
|
|
/* add some whitespace if structured type and not first item */
|
|
if (!PG_ARGISNULL(0) &&
|
|
(state->val_category == JSONTYPE_ARRAY ||
|
|
state->val_category == JSONTYPE_COMPOSITE))
|
|
{
|
|
appendStringInfoString(state->str, "\n ");
|
|
}
|
|
|
|
datum_to_json(val, false, state->str, state->val_category,
|
|
state->val_output_func, false);
|
|
|
|
/*
|
|
* The transition type for json_agg() is declared to be "internal", which
|
|
* is a pass-by-value type the same size as a pointer. So we can safely
|
|
* pass the JsonAggState pointer through nodeAgg.c's machinations.
|
|
*/
|
|
PG_RETURN_POINTER(state);
|
|
}
|
|
|
|
/*
|
|
* json_agg final function
|
|
*/
|
|
Datum
|
|
json_agg_finalfn(PG_FUNCTION_ARGS)
|
|
{
|
|
JsonAggState *state;
|
|
|
|
/* cannot be called directly because of internal-type argument */
|
|
Assert(AggCheckCallContext(fcinfo, NULL));
|
|
|
|
state = PG_ARGISNULL(0) ?
|
|
NULL :
|
|
(JsonAggState *) PG_GETARG_POINTER(0);
|
|
|
|
/* NULL result for no rows in, as is standard with aggregates */
|
|
if (state == NULL)
|
|
PG_RETURN_NULL();
|
|
|
|
/* Else return state with appropriate array terminator added */
|
|
PG_RETURN_TEXT_P(catenate_stringinfo_string(state->str, "]"));
|
|
}
|
|
|
|
/*
|
|
* json_object_agg transition function.
|
|
*
|
|
* aggregate two input columns as a single json object value.
|
|
*/
|
|
Datum
|
|
json_object_agg_transfn(PG_FUNCTION_ARGS)
|
|
{
|
|
MemoryContext aggcontext,
|
|
oldcontext;
|
|
JsonAggState *state;
|
|
Datum arg;
|
|
|
|
if (!AggCheckCallContext(fcinfo, &aggcontext))
|
|
{
|
|
/* cannot be called directly because of internal-type argument */
|
|
elog(ERROR, "json_object_agg_transfn called in non-aggregate context");
|
|
}
|
|
|
|
if (PG_ARGISNULL(0))
|
|
{
|
|
Oid arg_type;
|
|
|
|
/*
|
|
* Make the StringInfo in a context where it will persist for the
|
|
* duration of the aggregate call. Switching context is only needed
|
|
* for this initial step, as the StringInfo routines make sure they
|
|
* use the right context to enlarge the object if necessary.
|
|
*/
|
|
oldcontext = MemoryContextSwitchTo(aggcontext);
|
|
state = (JsonAggState *) palloc(sizeof(JsonAggState));
|
|
state->str = makeStringInfo();
|
|
MemoryContextSwitchTo(oldcontext);
|
|
|
|
arg_type = get_fn_expr_argtype(fcinfo->flinfo, 1);
|
|
|
|
if (arg_type == InvalidOid)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("could not determine data type for argument %d", 1)));
|
|
|
|
json_categorize_type(arg_type, &state->key_category,
|
|
&state->key_output_func);
|
|
|
|
arg_type = get_fn_expr_argtype(fcinfo->flinfo, 2);
|
|
|
|
if (arg_type == InvalidOid)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("could not determine data type for argument %d", 2)));
|
|
|
|
json_categorize_type(arg_type, &state->val_category,
|
|
&state->val_output_func);
|
|
|
|
appendStringInfoString(state->str, "{ ");
|
|
}
|
|
else
|
|
{
|
|
state = (JsonAggState *) PG_GETARG_POINTER(0);
|
|
appendStringInfoString(state->str, ", ");
|
|
}
|
|
|
|
/*
|
|
* Note: since json_object_agg() is declared as taking type "any", the
|
|
* parser will not do any type conversion on unknown-type literals (that
|
|
* is, undecorated strings or NULLs). Such values will arrive here as
|
|
* type UNKNOWN, which fortunately does not matter to us, since
|
|
* unknownout() works fine.
|
|
*/
|
|
|
|
if (PG_ARGISNULL(1))
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("field name must not be null")));
|
|
|
|
arg = PG_GETARG_DATUM(1);
|
|
|
|
datum_to_json(arg, false, state->str, state->key_category,
|
|
state->key_output_func, true);
|
|
|
|
appendStringInfoString(state->str, " : ");
|
|
|
|
if (PG_ARGISNULL(2))
|
|
arg = (Datum) 0;
|
|
else
|
|
arg = PG_GETARG_DATUM(2);
|
|
|
|
datum_to_json(arg, PG_ARGISNULL(2), state->str, state->val_category,
|
|
state->val_output_func, false);
|
|
|
|
PG_RETURN_POINTER(state);
|
|
}
|
|
|
|
/*
|
|
* json_object_agg final function.
|
|
*/
|
|
Datum
|
|
json_object_agg_finalfn(PG_FUNCTION_ARGS)
|
|
{
|
|
JsonAggState *state;
|
|
|
|
/* cannot be called directly because of internal-type argument */
|
|
Assert(AggCheckCallContext(fcinfo, NULL));
|
|
|
|
state = PG_ARGISNULL(0) ? NULL : (JsonAggState *) PG_GETARG_POINTER(0);
|
|
|
|
/* NULL result for no rows in, as is standard with aggregates */
|
|
if (state == NULL)
|
|
PG_RETURN_NULL();
|
|
|
|
/* Else return state with appropriate object terminator added */
|
|
PG_RETURN_TEXT_P(catenate_stringinfo_string(state->str, " }"));
|
|
}
|
|
|
|
/*
|
|
* Helper function for aggregates: return given StringInfo's contents plus
|
|
* specified trailing string, as a text datum. We need this because aggregate
|
|
* final functions are not allowed to modify the aggregate state.
|
|
*/
|
|
static text *
|
|
catenate_stringinfo_string(StringInfo buffer, const char *addon)
|
|
{
|
|
/* custom version of cstring_to_text_with_len */
|
|
int buflen = buffer->len;
|
|
int addlen = strlen(addon);
|
|
text *result = (text *) palloc(buflen + addlen + VARHDRSZ);
|
|
|
|
SET_VARSIZE(result, buflen + addlen + VARHDRSZ);
|
|
memcpy(VARDATA(result), buffer->data, buflen);
|
|
memcpy(VARDATA(result) + buflen, addon, addlen);
|
|
|
|
return result;
|
|
}
|
|
|
|
/*
|
|
* SQL function json_build_object(variadic "any")
|
|
*/
|
|
Datum
|
|
json_build_object(PG_FUNCTION_ARGS)
|
|
{
|
|
int nargs;
|
|
int i;
|
|
const char *sep = "";
|
|
StringInfo result;
|
|
Datum *args;
|
|
bool *nulls;
|
|
Oid *types;
|
|
|
|
/* fetch argument values to build the object */
|
|
nargs = extract_variadic_args(fcinfo, 0, false, &args, &types, &nulls);
|
|
|
|
if (nargs < 0)
|
|
PG_RETURN_NULL();
|
|
|
|
if (nargs % 2 != 0)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("argument list must have even number of elements"),
|
|
/* translator: %s is a SQL function name */
|
|
errhint("The arguments of %s must consist of alternating keys and values.",
|
|
"json_build_object()")));
|
|
|
|
result = makeStringInfo();
|
|
|
|
appendStringInfoChar(result, '{');
|
|
|
|
for (i = 0; i < nargs; i += 2)
|
|
{
|
|
appendStringInfoString(result, sep);
|
|
sep = ", ";
|
|
|
|
/* process key */
|
|
if (nulls[i])
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
|
|
errmsg("argument %d cannot be null", i + 1),
|
|
errhint("Object keys should be text.")));
|
|
|
|
add_json(args[i], false, result, types[i], true);
|
|
|
|
appendStringInfoString(result, " : ");
|
|
|
|
/* process value */
|
|
add_json(args[i + 1], nulls[i + 1], result, types[i + 1], false);
|
|
}
|
|
|
|
appendStringInfoChar(result, '}');
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* degenerate case of json_build_object where it gets 0 arguments.
|
|
*/
|
|
Datum
|
|
json_build_object_noargs(PG_FUNCTION_ARGS)
|
|
{
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len("{}", 2));
|
|
}
|
|
|
|
/*
|
|
* SQL function json_build_array(variadic "any")
|
|
*/
|
|
Datum
|
|
json_build_array(PG_FUNCTION_ARGS)
|
|
{
|
|
int nargs;
|
|
int i;
|
|
const char *sep = "";
|
|
StringInfo result;
|
|
Datum *args;
|
|
bool *nulls;
|
|
Oid *types;
|
|
|
|
/* fetch argument values to build the array */
|
|
nargs = extract_variadic_args(fcinfo, 0, false, &args, &types, &nulls);
|
|
|
|
if (nargs < 0)
|
|
PG_RETURN_NULL();
|
|
|
|
result = makeStringInfo();
|
|
|
|
appendStringInfoChar(result, '[');
|
|
|
|
for (i = 0; i < nargs; i++)
|
|
{
|
|
appendStringInfoString(result, sep);
|
|
sep = ", ";
|
|
add_json(args[i], nulls[i], result, types[i], false);
|
|
}
|
|
|
|
appendStringInfoChar(result, ']');
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len(result->data, result->len));
|
|
}
|
|
|
|
/*
|
|
* degenerate case of json_build_array where it gets 0 arguments.
|
|
*/
|
|
Datum
|
|
json_build_array_noargs(PG_FUNCTION_ARGS)
|
|
{
|
|
PG_RETURN_TEXT_P(cstring_to_text_with_len("[]", 2));
|
|
}
|
|
|
|
/*
|
|
* SQL function json_object(text[])
|
|
*
|
|
* take a one or two dimensional array of text as key/value pairs
|
|
* for a json object.
|
|
*/
|
|
Datum
|
|
json_object(PG_FUNCTION_ARGS)
|
|
{
|
|
ArrayType *in_array = PG_GETARG_ARRAYTYPE_P(0);
|
|
int ndims = ARR_NDIM(in_array);
|
|
StringInfoData result;
|
|
Datum *in_datums;
|
|
bool *in_nulls;
|
|
int in_count,
|
|
count,
|
|
i;
|
|
text *rval;
|
|
char *v;
|
|
|
|
switch (ndims)
|
|
{
|
|
case 0:
|
|
PG_RETURN_DATUM(CStringGetTextDatum("{}"));
|
|
break;
|
|
|
|
case 1:
|
|
if ((ARR_DIMS(in_array)[0]) % 2)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_ARRAY_SUBSCRIPT_ERROR),
|
|
errmsg("array must have even number of elements")));
|
|
break;
|
|
|
|
case 2:
|
|
if ((ARR_DIMS(in_array)[1]) != 2)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_ARRAY_SUBSCRIPT_ERROR),
|
|
errmsg("array must have two columns")));
|
|
break;
|
|
|
|
default:
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_ARRAY_SUBSCRIPT_ERROR),
|
|
errmsg("wrong number of array subscripts")));
|
|
}
|
|
|
|
deconstruct_array_builtin(in_array, TEXTOID, &in_datums, &in_nulls, &in_count);
|
|
|
|
count = in_count / 2;
|
|
|
|
initStringInfo(&result);
|
|
|
|
appendStringInfoChar(&result, '{');
|
|
|
|
for (i = 0; i < count; ++i)
|
|
{
|
|
if (in_nulls[i * 2])
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_NULL_VALUE_NOT_ALLOWED),
|
|
errmsg("null value not allowed for object key")));
|
|
|
|
v = TextDatumGetCString(in_datums[i * 2]);
|
|
if (i > 0)
|
|
appendStringInfoString(&result, ", ");
|
|
escape_json(&result, v);
|
|
appendStringInfoString(&result, " : ");
|
|
pfree(v);
|
|
if (in_nulls[i * 2 + 1])
|
|
appendStringInfoString(&result, "null");
|
|
else
|
|
{
|
|
v = TextDatumGetCString(in_datums[i * 2 + 1]);
|
|
escape_json(&result, v);
|
|
pfree(v);
|
|
}
|
|
}
|
|
|
|
appendStringInfoChar(&result, '}');
|
|
|
|
pfree(in_datums);
|
|
pfree(in_nulls);
|
|
|
|
rval = cstring_to_text_with_len(result.data, result.len);
|
|
pfree(result.data);
|
|
|
|
PG_RETURN_TEXT_P(rval);
|
|
}
|
|
|
|
/*
|
|
* SQL function json_object(text[], text[])
|
|
*
|
|
* take separate key and value arrays of text to construct a json object
|
|
* pairwise.
|
|
*/
|
|
Datum
|
|
json_object_two_arg(PG_FUNCTION_ARGS)
|
|
{
|
|
ArrayType *key_array = PG_GETARG_ARRAYTYPE_P(0);
|
|
ArrayType *val_array = PG_GETARG_ARRAYTYPE_P(1);
|
|
int nkdims = ARR_NDIM(key_array);
|
|
int nvdims = ARR_NDIM(val_array);
|
|
StringInfoData result;
|
|
Datum *key_datums,
|
|
*val_datums;
|
|
bool *key_nulls,
|
|
*val_nulls;
|
|
int key_count,
|
|
val_count,
|
|
i;
|
|
text *rval;
|
|
char *v;
|
|
|
|
if (nkdims > 1 || nkdims != nvdims)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_ARRAY_SUBSCRIPT_ERROR),
|
|
errmsg("wrong number of array subscripts")));
|
|
|
|
if (nkdims == 0)
|
|
PG_RETURN_DATUM(CStringGetTextDatum("{}"));
|
|
|
|
deconstruct_array_builtin(key_array, TEXTOID, &key_datums, &key_nulls, &key_count);
|
|
deconstruct_array_builtin(val_array, TEXTOID, &val_datums, &val_nulls, &val_count);
|
|
|
|
if (key_count != val_count)
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_ARRAY_SUBSCRIPT_ERROR),
|
|
errmsg("mismatched array dimensions")));
|
|
|
|
initStringInfo(&result);
|
|
|
|
appendStringInfoChar(&result, '{');
|
|
|
|
for (i = 0; i < key_count; ++i)
|
|
{
|
|
if (key_nulls[i])
|
|
ereport(ERROR,
|
|
(errcode(ERRCODE_NULL_VALUE_NOT_ALLOWED),
|
|
errmsg("null value not allowed for object key")));
|
|
|
|
v = TextDatumGetCString(key_datums[i]);
|
|
if (i > 0)
|
|
appendStringInfoString(&result, ", ");
|
|
escape_json(&result, v);
|
|
appendStringInfoString(&result, " : ");
|
|
pfree(v);
|
|
if (val_nulls[i])
|
|
appendStringInfoString(&result, "null");
|
|
else
|
|
{
|
|
v = TextDatumGetCString(val_datums[i]);
|
|
escape_json(&result, v);
|
|
pfree(v);
|
|
}
|
|
}
|
|
|
|
appendStringInfoChar(&result, '}');
|
|
|
|
pfree(key_datums);
|
|
pfree(key_nulls);
|
|
pfree(val_datums);
|
|
pfree(val_nulls);
|
|
|
|
rval = cstring_to_text_with_len(result.data, result.len);
|
|
pfree(result.data);
|
|
|
|
PG_RETURN_TEXT_P(rval);
|
|
}
|
|
|
|
|
|
/*
|
|
* Produce a JSON string literal, properly escaping characters in the text.
|
|
*/
|
|
void
|
|
escape_json(StringInfo buf, const char *str)
|
|
{
|
|
const char *p;
|
|
|
|
appendStringInfoCharMacro(buf, '"');
|
|
for (p = str; *p; p++)
|
|
{
|
|
switch (*p)
|
|
{
|
|
case '\b':
|
|
appendStringInfoString(buf, "\\b");
|
|
break;
|
|
case '\f':
|
|
appendStringInfoString(buf, "\\f");
|
|
break;
|
|
case '\n':
|
|
appendStringInfoString(buf, "\\n");
|
|
break;
|
|
case '\r':
|
|
appendStringInfoString(buf, "\\r");
|
|
break;
|
|
case '\t':
|
|
appendStringInfoString(buf, "\\t");
|
|
break;
|
|
case '"':
|
|
appendStringInfoString(buf, "\\\"");
|
|
break;
|
|
case '\\':
|
|
appendStringInfoString(buf, "\\\\");
|
|
break;
|
|
default:
|
|
if ((unsigned char) *p < ' ')
|
|
appendStringInfo(buf, "\\u%04x", (int) *p);
|
|
else
|
|
appendStringInfoCharMacro(buf, *p);
|
|
break;
|
|
}
|
|
}
|
|
appendStringInfoCharMacro(buf, '"');
|
|
}
|
|
|
|
/*
|
|
* SQL function json_typeof(json) -> text
|
|
*
|
|
* Returns the type of the outermost JSON value as TEXT. Possible types are
|
|
* "object", "array", "string", "number", "boolean", and "null".
|
|
*
|
|
* Performs a single call to json_lex() to get the first token of the supplied
|
|
* value. This initial token uniquely determines the value's type. As our
|
|
* input must already have been validated by json_in() or json_recv(), the
|
|
* initial token should never be JSON_TOKEN_OBJECT_END, JSON_TOKEN_ARRAY_END,
|
|
* JSON_TOKEN_COLON, JSON_TOKEN_COMMA, or JSON_TOKEN_END.
|
|
*/
|
|
Datum
|
|
json_typeof(PG_FUNCTION_ARGS)
|
|
{
|
|
text *json;
|
|
|
|
JsonLexContext *lex;
|
|
JsonTokenType tok;
|
|
char *type;
|
|
JsonParseErrorType result;
|
|
|
|
json = PG_GETARG_TEXT_PP(0);
|
|
lex = makeJsonLexContext(json, false);
|
|
|
|
/* Lex exactly one token from the input and check its type. */
|
|
result = json_lex(lex);
|
|
if (result != JSON_SUCCESS)
|
|
json_errsave_error(result, lex, NULL);
|
|
tok = lex->token_type;
|
|
switch (tok)
|
|
{
|
|
case JSON_TOKEN_OBJECT_START:
|
|
type = "object";
|
|
break;
|
|
case JSON_TOKEN_ARRAY_START:
|
|
type = "array";
|
|
break;
|
|
case JSON_TOKEN_STRING:
|
|
type = "string";
|
|
break;
|
|
case JSON_TOKEN_NUMBER:
|
|
type = "number";
|
|
break;
|
|
case JSON_TOKEN_TRUE:
|
|
case JSON_TOKEN_FALSE:
|
|
type = "boolean";
|
|
break;
|
|
case JSON_TOKEN_NULL:
|
|
type = "null";
|
|
break;
|
|
default:
|
|
elog(ERROR, "unexpected json token: %d", tok);
|
|
}
|
|
|
|
PG_RETURN_TEXT_P(cstring_to_text(type));
|
|
}
|