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The EvalPlanQual machinery assumes that whole-row Vars generated for the outputs of non-table RTEs will be of composite types. However, for the case where the RTE is a function call returning a scalar type, we were doing the wrong thing, as a result of sharing code with a parser case where the function's scalar output is wanted. (Or at least, that's what that case has done historically; it does seem a bit inconsistent.) To fix, extend makeWholeRowVar's API so that it can support both use-cases. This fixes Belinda Cussen's report of crashes during concurrent execution of UPDATEs involving joins to the result of UNNEST() --- in READ COMMITTED mode, we'd run the EvalPlanQual machinery after a conflicting row update commits, and it was expecting to get a HeapTuple not a scalar datum from the "wholerowN" variable referencing the function RTE. Back-patch to 9.0 where the current EvalPlanQual implementation appeared. In 9.1 and up, this patch also fixes failure to attach the correct collation to the Var generated for a scalar-result case. An example: regression=# select upper(x.*) from textcat('ab', 'cd') x; ERROR: could not determine which collation to use for upper() function
src/backend/parser/README Parser ====== This directory does more than tokenize and parse SQL queries. It also creates Query structures for the various complex queries that are passed to the optimizer and then executor. parser.c things start here scan.l break query into tokens scansup.c handle escapes in input strings kwlookup.c turn keywords into specific tokens keywords.c table of standard keywords (passed to kwlookup.c) gram.y parse the tokens and produce a "raw" parse tree analyze.c top level of parse analysis for optimizable queries parse_agg.c handle aggregates, like SUM(col1), AVG(col2), ... parse_clause.c handle clauses like WHERE, ORDER BY, GROUP BY, ... parse_coerce.c handle coercing expressions to different data types parse_collate.c assign collation information in completed expressions parse_cte.c handle Common Table Expressions (WITH clauses) parse_expr.c handle expressions like col, col + 3, x = 3 or x = 4 parse_func.c handle functions, table.column and column identifiers parse_node.c create nodes for various structures parse_oper.c handle operators in expressions parse_param.c handle Params (for the cases used in the core backend) parse_relation.c support routines for tables and column handling parse_target.c handle the result list of the query parse_type.c support routines for data type handling parse_utilcmd.c parse analysis for utility commands (done at execution time)