v25-0002-Create-function-pg_set_attribute_stats.patch
text/x-patch
Filename: v25-0002-Create-function-pg_set_attribute_stats.patch
Type: text/x-patch
Part: 2
Message:
Re: Statistics Import and Export
Patch
Same data as JSON:
GET /api/v1/attachments/:id/patch
the parsed metadata as JSON — format, series position, per-file stats; never the diff bytes.
API reference →
Format: format-patch
Series: patch v25-0002
Subject: Create function pg_set_attribute_stats.
| File | + | − |
|---|---|---|
| doc/src/sgml/func.sgml | 63 | 0 |
| src/backend/catalog/system_functions.sql | 22 | 0 |
| src/backend/statistics/statistics.c | 984 | 1 |
| src/include/catalog/pg_proc.dat | 7 | 0 |
| src/include/statistics/statistics.h | 1 | 0 |
| src/test/regress/expected/stats_import.out | 644 | 1 |
| src/test/regress/sql/stats_import.sql | 544 | 0 |
From c86203cafacc0fd6a5fca40f72693150300e9f2e Mon Sep 17 00:00:00 2001
From: Corey Huinker <corey.huinker@gmail.com>
Date: Thu, 25 Jul 2024 03:34:45 -0400
Subject: [PATCH v25 2/5] Create function pg_set_attribute_stats.
The function pg_set_attribute_stats is used modify attribute statistics,
allowing the user to inflate chose favorable histograms, inflate the
frequency of certain values, etc, to see what those changes will evoke
from the query planner.
The function takes an oid to identify the relation of the attribute, the
name of the attribute, and a boolean flag to indicate if these are
inherited stats or not. The remaining parameters correspond to
statsitics attributes found in the pg_stats view.
If successful, the entire pg_statistic row is overwritten. Any parameter
values omitted or directly set to NULL mean that that particular type of
statistic will not exist in the new pg_statistic row. There is currently
no way to set just a few statistics in the row and leave others as-is.
This is partly due to the complexity of expressing such an action, and
partly because it would require a complicated reorganization of the
existing arrays of statkinds, which might potentially overflow those
arrays.
While the function does not attempt to validate the statistics given,
certain data errors make rendering those statistics impossible, and
thus those data errors will cause the function to error.
Examples:
- Some statistics kinds come in pairs. For example, the mcv stat
consists of two parameters: most_common_vals and most_common_freqs,
they must both be present in order to complete the mcv stat. If one
is given but not the other, the operation will raise an error.
- Multi-value statistics such as most_common_elems do not allow for any
elements within the array provided to be NULL, and any array given
with NULLs in it will be rejected, which would also cause the
corresponding -freqs parameter to be rejected, thus rejecting the
whole stat-kind, but not otherwise affecting other parameters
provided.
---
src/include/catalog/pg_proc.dat | 7 +
src/include/statistics/statistics.h | 1 +
src/backend/catalog/system_functions.sql | 22 +
src/backend/statistics/statistics.c | 985 ++++++++++++++++++++-
src/test/regress/expected/stats_import.out | 645 +++++++++++++-
src/test/regress/sql/stats_import.sql | 544 ++++++++++++
doc/src/sgml/func.sgml | 63 ++
7 files changed, 2265 insertions(+), 2 deletions(-)
diff --git a/src/include/catalog/pg_proc.dat b/src/include/catalog/pg_proc.dat
index 7ebcf612ca..11cbd9eded 100644
--- a/src/include/catalog/pg_proc.dat
+++ b/src/include/catalog/pg_proc.dat
@@ -12243,5 +12243,12 @@
proargtypes => 'oid int4 float4 int4',
proargnames => '{relation,relpages,reltuples,relallvisible}',
prosrc => 'pg_set_relation_stats' },
+{ oid => '8049',
+ descr => 'set statistics on attribute',
+ proname => 'pg_set_attribute_stats', provolatile => 'v', proisstrict => 'f',
+ proparallel => 'u', prorettype => 'void',
+ proargtypes => 'oid name bool float4 int4 float4 text _float4 text float4 text _float4 _float4 text float4 text',
+ proargnames => '{relation,attname,inherited,null_frac,avg_width,n_distinct,most_common_vals,most_common_freqs,histogram_bounds,correlation,most_common_elems,most_common_elem_freqs,elem_count_histogram,range_length_histogram,range_empty_frac,range_bounds_histogram}',
+ prosrc => 'pg_set_attribute_stats' },
]
diff --git a/src/include/statistics/statistics.h b/src/include/statistics/statistics.h
index 68441dfc16..73d3b541dd 100644
--- a/src/include/statistics/statistics.h
+++ b/src/include/statistics/statistics.h
@@ -128,5 +128,6 @@ extern StatisticExtInfo *choose_best_statistics(List *stats, char requiredkind,
extern HeapTuple statext_expressions_load(Oid stxoid, bool inh, int idx);
extern Datum pg_set_relation_stats(PG_FUNCTION_ARGS);
+extern Datum pg_set_attribute_stats(PG_FUNCTION_ARGS);
#endif /* STATISTICS_H */
diff --git a/src/backend/catalog/system_functions.sql b/src/backend/catalog/system_functions.sql
index ae099e328c..e7e8abde10 100644
--- a/src/backend/catalog/system_functions.sql
+++ b/src/backend/catalog/system_functions.sql
@@ -636,6 +636,28 @@ LANGUAGE INTERNAL
CALLED ON NULL INPUT VOLATILE PARALLEL SAFE
AS 'pg_stat_reset_slru';
+CREATE OR REPLACE FUNCTION
+ pg_set_attribute_stats(relation oid,
+ attname name,
+ inherited bool,
+ null_frac real,
+ avg_width integer,
+ n_distinct real,
+ most_common_vals text DEFAULT NULL,
+ most_common_freqs real[] DEFAULT NULL,
+ histogram_bounds text DEFAULT NULL,
+ correlation real DEFAULT NULL,
+ most_common_elems text DEFAULT NULL,
+ most_common_elem_freqs real[] DEFAULT NULL,
+ elem_count_histogram real[] DEFAULT NULL,
+ range_length_histogram text DEFAULT NULL,
+ range_empty_frac real DEFAULT NULL,
+ range_bounds_histogram text DEFAULT NULL)
+RETURNS void
+LANGUAGE INTERNAL
+CALLED ON NULL INPUT VOLATILE
+AS 'pg_set_attribute_stats';
+
--
-- The default permissions for functions mean that anyone can execute them.
-- A number of functions shouldn't be executable by just anyone, but rather
diff --git a/src/backend/statistics/statistics.c b/src/backend/statistics/statistics.c
index 3c72633686..bfabe0b563 100644
--- a/src/backend/statistics/statistics.c
+++ b/src/backend/statistics/statistics.c
@@ -45,12 +45,28 @@
#include "utils/typcache.h"
/*
- * Names of parameters found in the function pg_set_relation_stats.
+ * Names of parameters found in the functions pg_set_relation_stats and
+ * pg_set_attribute_stats
*/
const char *relation_name = "relation";
const char *relpages_name = "relpages";
const char *reltuples_name = "reltuples";
const char *relallvisible_name = "relallvisible";
+const char *attname_name = "attname";
+const char *inherited_name = "inherited";
+const char *null_frac_name = "null_frac";
+const char *avg_width_name = "avg_width";
+const char *n_distinct_name = "n_distinct";
+const char *mc_vals_name = "most_common_vals";
+const char *mc_freqs_name = "most_common_freqs";
+const char *histogram_bounds_name = "histogram_bounds";
+const char *correlation_name = "correlation";
+const char *mc_elems_name = "most_common_elems";
+const char *mc_elem_freqs_name = "most_common_elem_freqs";
+const char *elem_count_hist_name = "elem_count_histogram";
+const char *range_length_hist_name = "range_length_histogram";
+const char *range_empty_frac_name = "range_empty_frac";
+const char *range_bounds_hist_name = "range_bounds_histogram";
/*
* A role has privileges to set statistics on the relation if any of the
@@ -276,3 +292,970 @@ pg_set_relation_stats(PG_FUNCTION_ARGS)
PG_RETURN_VOID();
}
+
+/*
+ * Test if the type is a scalar for MCELEM purposes
+ */
+static bool
+type_is_scalar(Oid typid)
+{
+ HeapTuple tp;
+ bool result = false;
+
+ tp = SearchSysCache1(TYPEOID, ObjectIdGetDatum(typid));
+ if (HeapTupleIsValid(tp))
+ {
+ Form_pg_type typtup = (Form_pg_type) GETSTRUCT(tp);
+
+ result = (!OidIsValid(typtup->typanalyze));
+ ReleaseSysCache(tp);
+ }
+ return result;
+}
+
+/*
+ * If this relation is an index and that index has expressions in it, and
+ * the attnum specified is known to be an expression, then we must walk
+ * the list attributes up to the specified attnum to get the right
+ * expression.
+ */
+static Node *
+get_attr_expr(Relation rel, int attnum)
+{
+ if ((rel->rd_rel->relkind == RELKIND_INDEX
+ || (rel->rd_rel->relkind == RELKIND_PARTITIONED_INDEX))
+ && (rel->rd_indexprs != NIL)
+ && (rel->rd_index->indkey.values[attnum - 1] == 0))
+ {
+ ListCell *indexpr_item = list_head(rel->rd_indexprs);
+
+ for (int i = 0; i < attnum - 1; i++)
+ if (rel->rd_index->indkey.values[i] == 0)
+ indexpr_item = lnext(rel->rd_indexprs, indexpr_item);
+
+ if (indexpr_item == NULL) /* shouldn't happen */
+ elog(ERROR, "too few entries in indexprs list");
+
+ return (Node *) lfirst(indexpr_item);
+ }
+ return NULL;
+}
+
+/*
+ * Fetch datatype information, this is needed to derive the proper staopN
+ * and stacollN values.
+ *
+ */
+static TypeCacheEntry *
+get_attr_stat_type(Relation rel, Name attname, int elevel,
+ int16 *attnum, int32 *typmod, Oid *typcoll)
+{
+ Oid relid = RelationGetRelid(rel);
+ Form_pg_attribute attr;
+ HeapTuple atup;
+ Oid typid;
+ Node *expr;
+
+ atup = SearchSysCache2(ATTNAME, ObjectIdGetDatum(relid),
+ NameGetDatum(attname));
+
+ /* Attribute not found */
+ if (!HeapTupleIsValid(atup))
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INSUFFICIENT_PRIVILEGE),
+ errmsg("Relation %s has no attname %s",
+ RelationGetRelationName(rel),
+ NameStr(*attname))));
+ return NULL;
+ }
+
+ attr = (Form_pg_attribute) GETSTRUCT(atup);
+ if (attr->attisdropped)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INSUFFICIENT_PRIVILEGE),
+ errmsg("Relation %s attname %s is dropped",
+ RelationGetRelationName(rel),
+ NameStr(*attname))));
+ return NULL;
+ }
+ *attnum = attr->attnum;
+
+ expr = get_attr_expr(rel, attr->attnum);
+
+ if (expr == NULL)
+ {
+ /* regular attribute */
+ typid = attr->atttypid;
+ *typmod = attr->atttypmod;
+ *typcoll = attr->attcollation;
+ }
+ else
+ {
+ typid = exprType(expr);
+ *typmod = exprTypmod(expr);
+
+ /*
+ * If a collation has been specified for the index column, use that in
+ * preference to anything else; but if not, fall back to whatever we
+ * can get from the expression.
+ */
+ if (OidIsValid(attr->attcollation))
+ *typcoll = attr->attcollation;
+ else
+ *typcoll = exprCollation(expr);
+ }
+ ReleaseSysCache(atup);
+
+ /* if it's a multirange, step down to the range type */
+ if (type_is_multirange(typid))
+ typid = get_multirange_range(typid);
+
+ return lookup_type_cache(typid,
+ TYPECACHE_LT_OPR | TYPECACHE_EQ_OPR);
+}
+
+/*
+ * Perform the cast of a known TextDatum into the type specified.
+ *
+ * If no errors are found, ok is set to true.
+ *
+ * Otherwise, set ok to false, capture the error found, and re-throw at the
+ * level specified by elevel.
+ */
+static Datum
+cast_stavalues(FmgrInfo *flinfo, Datum d, Oid typid, int32 typmod,
+ int elevel, bool *ok)
+{
+ LOCAL_FCINFO(fcinfo, 8);
+ char *s;
+ Datum result;
+ ErrorSaveContext escontext = {T_ErrorSaveContext};
+
+ escontext.details_wanted = true;
+
+ s = TextDatumGetCString(d);
+
+ InitFunctionCallInfoData(*fcinfo, flinfo, 3, InvalidOid,
+ (Node *) &escontext, NULL);
+
+ fcinfo->args[0].value = CStringGetDatum(s);
+ fcinfo->args[0].isnull = false;
+ fcinfo->args[1].value = ObjectIdGetDatum(typid);
+ fcinfo->args[1].isnull = false;
+ fcinfo->args[2].value = Int32GetDatum(typmod);
+ fcinfo->args[2].isnull = false;
+
+ result = FunctionCallInvoke(fcinfo);
+
+ if (SOFT_ERROR_OCCURRED(&escontext))
+ {
+ if (elevel != ERROR)
+ escontext.error_data->elevel = elevel;
+ ThrowErrorData(escontext.error_data);
+ *ok = false;
+ }
+ else
+ *ok = true;
+
+ pfree(s);
+
+ return result;
+}
+
+
+/*
+ * Check array for any NULLs, and optionally for one-dimensionality.
+ *
+ * Report any failures at the level of elevel.
+ */
+static bool
+array_check(Datum datum, int one_dim, const char *statname, int elevel)
+{
+ ArrayType *arr = DatumGetArrayTypeP(datum);
+ int16 elmlen;
+ char elmalign;
+ bool elembyval;
+ Datum *values;
+ bool *nulls;
+ int nelems;
+
+ if (one_dim && (arr->ndim != 1))
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be a multidimensional array", statname)));
+ return false;
+ }
+
+ get_typlenbyvalalign(ARR_ELEMTYPE(arr), &elmlen, &elembyval, &elmalign);
+
+ deconstruct_array(arr, ARR_ELEMTYPE(arr), elmlen, elembyval, elmalign,
+ &values, &nulls, &nelems);
+
+ for (int i = 0; i < nelems; i++)
+ if (nulls[i])
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s array cannot contain NULL values", statname)));
+ return false;
+ }
+ return true;
+}
+
+/*
+ * Update the pg_statistic record.
+ */
+static void
+update_pg_statistic(Datum values[], bool nulls[])
+{
+ Relation sd = table_open(StatisticRelationId, RowExclusiveLock);
+ CatalogIndexState indstate = CatalogOpenIndexes(sd);
+ HeapTuple oldtup;
+ HeapTuple stup;
+
+ /* Is there already a pg_statistic tuple for this attribute? */
+ oldtup = SearchSysCache3(STATRELATTINH,
+ values[Anum_pg_statistic_starelid - 1],
+ values[Anum_pg_statistic_staattnum - 1],
+ values[Anum_pg_statistic_stainherit - 1]);
+
+ if (HeapTupleIsValid(oldtup))
+ {
+ /* Yes, replace it */
+ bool replaces[Natts_pg_statistic];
+
+ for (int i = 0; i < Natts_pg_statistic; i++)
+ replaces[i] = true;
+
+ stup = heap_modify_tuple(oldtup, RelationGetDescr(sd),
+ values, nulls, replaces);
+ ReleaseSysCache(oldtup);
+ CatalogTupleUpdateWithInfo(sd, &stup->t_self, stup, indstate);
+ }
+ else
+ {
+ /* No, insert new tuple */
+ stup = heap_form_tuple(RelationGetDescr(sd), values, nulls);
+ CatalogTupleInsertWithInfo(sd, stup, indstate);
+ }
+
+ heap_freetuple(stup);
+ CatalogCloseIndexes(indstate);
+ table_close(sd, NoLock);
+}
+
+/*
+ * Insert or Update Attribute Statistics
+ */
+static bool
+attribute_statistics_update(Datum relation_datum, bool relation_isnull,
+ Datum attname_datum, bool attname_isnull,
+ Datum inherited_datum, bool inherited_isnull,
+ Datum version_datum, bool version_isnull,
+ Datum null_frac_datum, bool null_frac_isnull,
+ Datum avg_width_datum, bool avg_width_isnull,
+ Datum n_distinct_datum, bool n_distinct_isnull,
+ Datum mc_vals_datum, bool mc_vals_isnull,
+ Datum mc_freqs_datum, bool mc_freqs_isnull,
+ Datum histogram_bounds_datum, bool histogram_bounds_isnull,
+ Datum correlation_datum, bool correlation_isnull,
+ Datum mc_elems_datum, bool mc_elems_isnull,
+ Datum mc_elem_freqs_datum, bool mc_elem_freqs_isnull,
+ Datum elem_count_hist_datum, bool elem_count_hist_isnull,
+ Datum range_length_hist_datum, bool range_length_hist_isnull,
+ Datum range_empty_frac_datum, bool range_empty_frac_isnull,
+ Datum range_bounds_hist_datum, bool range_bounds_hist_isnull,
+ bool raise_errors)
+{
+ int elevel = (raise_errors) ? ERROR : WARNING;
+
+ Oid relation;
+ Name attname;
+ int version;
+
+ Relation rel;
+
+ TypeCacheEntry *typcache;
+ TypeCacheEntry *elemtypcache = NULL;
+
+ int16 attnum;
+ int32 typmod;
+ Oid typcoll;
+
+ FmgrInfo finfo;
+
+ int stakind_count;
+
+ Datum values[Natts_pg_statistic];
+ bool nulls[Natts_pg_statistic];
+
+ /*
+ * The statkind index, we have only STATISTIC_NUM_SLOTS to hold these stats
+ */
+ int stakindidx = 0;
+
+ /*
+ * Initialize output tuple.
+ *
+ * All non-repeating attributes should be NOT NULL. Only values for unused
+ * statistics slots, and certain stakind-specific values for stanumbersN
+ * and stavaluesN will ever be set NULL.
+ */
+ for (int i = 0; i < Natts_pg_statistic; i++)
+ {
+ values[i] = (Datum) 0;
+ nulls[i] = false;
+ }
+
+ /*
+ * Some parameters are "required" in that nothing can happen if any of
+ * them are NULL.
+ */
+ if (relation_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL", relation_name)));
+ return false;
+ }
+ relation = DatumGetObjectId(relation_datum);
+
+ if (attname_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL", attname_name)));
+ return false;
+ }
+ attname = DatumGetName(attname_datum);
+
+ if (inherited_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL", inherited_name)));
+ return false;
+ }
+
+ /*
+ * NULL version means assume current server version
+ */
+ version = (version_isnull) ? PG_VERSION_NUM : DatumGetInt32(version_datum);
+ if (version < 90200)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Cannot export statistics prior to version 9.2")));
+ return false;
+ }
+
+ if (null_frac_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL", null_frac_name)));
+ return false;
+ }
+
+ if (avg_width_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL", avg_width_name)));
+ return false;
+ }
+
+ if (n_distinct_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL", n_distinct_name)));
+ return false;
+ }
+
+ /*
+ * Some parameters are linked, should both be NULL or NOT NULL.
+ * Disagreement means that the statistic pair will fail so the
+ * NOT NULL one must be abandoned (set NULL) after an
+ * ERROR/WARNING. By ensuring that the values are aligned it is
+ * possible to use one as a proxy for the other later.
+ */
+
+ /*
+ * STATISTIC_KIND_MCV = mc_vals + mc_freqs
+ */
+ if (mc_vals_isnull != mc_freqs_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL when %s is NOT NULL",
+ mc_vals_isnull ? mc_vals_name : mc_freqs_name,
+ !mc_vals_isnull ? mc_vals_name : mc_freqs_name)));
+
+ mc_vals_isnull = true;
+ mc_freqs_isnull = true;
+ }
+
+ /*
+ * STATISTIC_KIND_MCELEM = mc_elems + mc_elem_freqs
+ */
+ if (mc_elems_isnull != mc_elem_freqs_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL when %s is NOT NULL",
+ mc_elems_isnull ? mc_elems_name : mc_elem_freqs_name,
+ !mc_elems_isnull ? mc_elems_name : mc_elem_freqs_name)));
+ mc_elems_isnull = true;
+ mc_elem_freqs_isnull = true;
+ }
+
+ /*
+ * STATISTIC_KIND_RANGE_LENGTH_HISTOGRAM =
+ * range_length_histogram + range_empty_frac
+ */
+ else if (range_length_hist_isnull != range_empty_frac_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot be NULL when %s is NOT NULL",
+ range_length_hist_isnull ?
+ range_length_hist_name : range_empty_frac_name,
+ !range_length_hist_isnull ?
+ range_length_hist_name : range_empty_frac_name)));
+ range_length_hist_isnull = true;
+ range_empty_frac_isnull = true;
+ }
+
+ /*
+ * If a caller specifies more stakind-stats than we have slots to store
+ * them, reject them all.
+ */
+ stakind_count = (int) !mc_vals_isnull +
+ (int) !mc_elems_isnull +
+ (int) (!range_length_hist_isnull) +
+ (int) !histogram_bounds_isnull +
+ (int) !correlation_isnull +
+ (int) !elem_count_hist_isnull +
+ (int) !range_bounds_hist_isnull;
+
+ if (stakind_count > STATISTIC_NUM_SLOTS)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("imported statistics must have a maximum of %d slots "
+ "but %d given",
+ STATISTIC_NUM_SLOTS, stakind_count)));
+ return false;
+ }
+
+ rel = try_relation_open(relation, ShareUpdateExclusiveLock);
+
+ if (rel == NULL)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Parameter relation OID %u is invalid", relation)));
+ return false;
+ }
+
+ /*
+ * Many of the values that are set for a particular stakind are entirely
+ * derived from the attribute itself, or it's expression.
+ */
+ typcache = get_attr_stat_type(rel, attname, elevel, &attnum, &typmod, &typcoll);
+ if (typcache == NULL)
+ {
+ relation_close(rel, NoLock);
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("unexpected typecache error")));
+ return false;
+ }
+
+ /*
+ * Derive element type if we have stat kinds that need it.
+ *
+ * This duplicates some type-specific logic found in various typanalyze
+ * functions which are called from vacuum's examine_attribute(), but using
+ * that directly has proven awkward.
+ */
+ if (!mc_elems_isnull || !elem_count_hist_isnull)
+ {
+ Oid elemtypid;
+
+ if (typcache->type_id == TSVECTOROID)
+ {
+ /*
+ * tsvectors always have a text oid base type and default
+ * collation
+ */
+ elemtypid = TEXTOID;
+ typcoll = DEFAULT_COLLATION_OID;
+ }
+ else if (typcache->typtype == TYPTYPE_RANGE)
+ elemtypid = get_range_subtype(typcache->type_id);
+ else
+ elemtypid = get_base_element_type(typcache->type_id);
+
+ /* not finding a basetype means we already had it */
+ if (elemtypid == InvalidOid)
+ elemtypid = typcache->type_id;
+
+ /* The stats need the eq_opr, any validation would need the lt_opr */
+ elemtypcache = lookup_type_cache(elemtypid, TYPECACHE_EQ_OPR);
+ if (elemtypcache == NULL)
+ {
+ /* warn and ignore any stats that can't be fulfilled */
+ if (!mc_elems_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot accept %s stats, ignored",
+ NameStr(*attname),
+ mc_elems_name)));
+ mc_elems_isnull = true;
+ mc_elem_freqs_isnull = true;
+ }
+
+ if (!elem_count_hist_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("%s cannot accept %s stats, ignored",
+ NameStr(*attname),
+ elem_count_hist_name)));
+ elem_count_hist_isnull = true;
+ }
+ }
+ }
+
+ /*
+ * histogram_bounds and correlation must have a type < operator
+ */
+ if (typcache->lt_opr == InvalidOid)
+ {
+ if (!histogram_bounds_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Relation %s attname %s cannot "
+ "have stats of type %s, ignored.",
+ RelationGetRelationName(rel),
+ NameStr(*attname),
+ histogram_bounds_name)));
+ histogram_bounds_isnull = true;
+ }
+
+ if (!correlation_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Relation %s attname %s cannot "
+ "have stats of type %s, ignored.",
+ RelationGetRelationName(rel),
+ NameStr(*attname),
+ correlation_name)));
+ correlation_isnull = true;
+ }
+ }
+
+ /*
+ * Scalar types can't have most_common_elems, most_common_elem_freqs, or
+ * element_count_histogram
+ */
+ if (type_is_scalar(typcache->type_id))
+ {
+ /* warn and ignore any stats that can't be fulfilled */
+ if (!mc_elems_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Relation %s attname %s is a scalar type, "
+ "cannot have stats of type %s, ignored",
+ RelationGetRelationName(rel),
+ NameStr(*attname),
+ mc_elems_name)));
+ mc_elems_isnull = true;
+ mc_elem_freqs_isnull = true;
+ }
+
+ if (!elem_count_hist_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Relation %s attname %s is a scalar type, "
+ "cannot have stats of type %s, ignored",
+ RelationGetRelationName(rel),
+ NameStr(*attname),
+ elem_count_hist_name)));
+ elem_count_hist_isnull = true;
+ }
+ }
+
+ /* Only range types can have range stats */
+ if ((typcache->typtype != TYPTYPE_RANGE) &&
+ (typcache->typtype != TYPTYPE_MULTIRANGE))
+ {
+ /* warn and ignore any stats that can't be fulfilled */
+ if (!range_length_hist_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Relation %s attname %s is not a range type, "
+ "cannot have stats of type %s",
+ RelationGetRelationName(rel),
+ NameStr(*attname),
+ range_length_hist_name)));
+ range_length_hist_isnull = true;
+ range_empty_frac_isnull = true;
+ }
+
+ if (!range_bounds_hist_isnull)
+ {
+ ereport(elevel,
+ (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
+ errmsg("Relation %s attname %s is not a range type, "
+ "cannot have stats of type %s",
+ RelationGetRelationName(rel),
+ NameStr(*attname),
+ range_bounds_hist_name)));
+ range_bounds_hist_isnull = true;
+ }
+ }
+
+ if (!can_modify_relation(rel))
+ {
+ relation_close(rel, NoLock);
+ ereport(elevel,
+ (errcode(ERRCODE_INSUFFICIENT_PRIVILEGE),
+ errmsg("permission denied for relation %s",
+ RelationGetRelationName(rel))));
+ return false;
+ }
+
+ /* Populate pg_statistic tuple */
+ values[Anum_pg_statistic_starelid - 1] = relation_datum;
+ values[Anum_pg_statistic_staattnum - 1] = Int16GetDatum(attnum);
+ values[Anum_pg_statistic_stainherit - 1] = inherited_datum;
+ values[Anum_pg_statistic_stanullfrac - 1] = null_frac_datum;
+ values[Anum_pg_statistic_stawidth - 1] = avg_width_datum;
+ values[Anum_pg_statistic_stadistinct - 1] = n_distinct_datum;
+
+ fmgr_info(F_ARRAY_IN, &finfo);
+
+ /*
+ * STATISTIC_KIND_MCV
+ *
+ * most_common_vals: ANYARRAY::text most_common_freqs: real[]
+ */
+ if (!mc_vals_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_MCV);
+ Datum staop = ObjectIdGetDatum(typcache->eq_opr);
+ Datum stacoll = ObjectIdGetDatum(typcoll);
+ bool converted = false;
+ Datum stanumbers = mc_freqs_datum;
+ Datum stavalues = cast_stavalues(&finfo, mc_vals_datum,
+ typcache->type_id, typmod,
+ elevel, &converted);
+
+ if (converted &&
+ array_check(stavalues, false, mc_vals_name, elevel) &&
+ array_check(stanumbers, true, mc_freqs_name, elevel))
+ {
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ values[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = stanumbers;
+ values[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = stavalues;
+
+ stakindidx++;
+ }
+ else
+ {
+ /* Mark as skipped */
+ mc_vals_isnull = true;
+ mc_freqs_isnull = true;
+ }
+ }
+
+ /*
+ * STATISTIC_KIND_HISTOGRAM
+ *
+ * histogram_bounds: ANYARRAY::text
+ */
+ if (!histogram_bounds_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_HISTOGRAM);
+ Datum staop = ObjectIdGetDatum(typcache->lt_opr);
+ Datum stacoll = ObjectIdGetDatum(typcoll);
+ Datum stavalues;
+ bool converted = false;
+
+ stavalues = cast_stavalues(&finfo, histogram_bounds_datum,
+ typcache->type_id, typmod, elevel,
+ &converted);
+
+ if (converted &&
+ array_check(stavalues, false, histogram_bounds_name, elevel))
+ {
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ nulls[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = true;
+ values[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = stavalues;
+
+ stakindidx++;
+ }
+ else
+ histogram_bounds_isnull = true;
+ }
+
+ /*
+ * STATISTIC_KIND_CORRELATION
+ *
+ * correlation: real
+ */
+ if (!correlation_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_CORRELATION);
+ Datum staop = ObjectIdGetDatum(typcache->lt_opr);
+ Datum stacoll = ObjectIdGetDatum(typcoll);
+ Datum elems[] = {correlation_datum};
+ ArrayType *arry = construct_array_builtin(elems, 1, FLOAT4OID);
+ Datum stanumbers = PointerGetDatum(arry);
+
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ values[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = stanumbers;
+ nulls[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = true;
+
+ stakindidx++;
+ }
+
+ /*
+ * STATISTIC_KIND_MCELEM
+ *
+ * most_common_elem_freqs: real[]
+ *
+ * most_common_elems : ANYARRAY::text
+ */
+ if (!mc_elems_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_MCELEM);
+ Datum staop = ObjectIdGetDatum(elemtypcache->eq_opr);
+ Datum stacoll = ObjectIdGetDatum(typcoll);
+ Datum stanumbers = mc_elem_freqs_datum;
+ bool converted = false;
+ Datum stavalues;
+
+ stavalues = cast_stavalues(&finfo, mc_elems_datum,
+ elemtypcache->type_id, typmod,
+ elevel, &converted);
+
+ if (converted &&
+ array_check(stavalues, false, mc_elems_name, elevel) &&
+ array_check(stanumbers, true, mc_elem_freqs_name, elevel))
+ {
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ values[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = stanumbers;
+ values[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = stavalues;
+
+ stakindidx++;
+ }
+ else
+ {
+ /* the mc_elem stat did not write */
+ mc_elems_isnull = true;
+ mc_elem_freqs_isnull = true;
+ }
+ }
+
+ /*
+ * STATISTIC_KIND_DECHIST
+ *
+ * elem_count_histogram: real[]
+ */
+ if (!elem_count_hist_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_DECHIST);
+ Datum staop = ObjectIdGetDatum(elemtypcache->eq_opr);
+ Datum stacoll = ObjectIdGetDatum(typcoll);
+ Datum stanumbers = elem_count_hist_datum;
+
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ values[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = stanumbers;
+ nulls[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = true;
+
+ stakindidx++;
+ }
+
+ /*
+ * STATISTIC_KIND_BOUNDS_HISTOGRAM
+ *
+ * range_bounds_histogram: ANYARRAY::text
+ *
+ * This stakind appears before STATISTIC_KIND_BOUNDS_HISTOGRAM even though
+ * it is numerically greater, and all other stakinds appear in numerical
+ * order. We duplicate this quirk to make before/after tests of
+ * pg_statistic records easier.
+ */
+ if (!range_bounds_hist_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_BOUNDS_HISTOGRAM);
+ Datum staop = ObjectIdGetDatum(InvalidOid);
+ Datum stacoll = ObjectIdGetDatum(InvalidOid);
+
+ bool converted = false;
+ Datum stavalues;
+
+ stavalues = cast_stavalues(&finfo, range_bounds_hist_datum,
+ typcache->type_id, typmod,
+ elevel, &converted);
+
+ if (converted &&
+ array_check(stavalues, false, "range_bounds_histogram", elevel))
+ {
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ nulls[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = true;
+ values[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = stavalues;
+
+ stakindidx++;
+ }
+ else
+ range_bounds_hist_isnull = true;
+ }
+
+ /*
+ * STATISTIC_KIND_RANGE_LENGTH_HISTOGRAM
+ *
+ * range_empty_frac: real
+ *
+ * range_length_histogram: double precision[]::text
+ */
+ if (!range_length_hist_isnull)
+ {
+ Datum stakind = Int16GetDatum(STATISTIC_KIND_RANGE_LENGTH_HISTOGRAM);
+ Datum staop = ObjectIdGetDatum(Float8LessOperator);
+ Datum stacoll = ObjectIdGetDatum(InvalidOid);
+
+ /* The anyarray is always a float8[] for this stakind */
+ Datum elems[] = {range_empty_frac_datum};
+ ArrayType *arry = construct_array_builtin(elems, 1, FLOAT4OID);
+ Datum stanumbers = PointerGetDatum(arry);
+
+ bool converted = false;
+ Datum stavalues;
+
+ stavalues = cast_stavalues(&finfo, range_length_hist_datum, FLOAT8OID,
+ 0, elevel, &converted);
+
+ if (converted &&
+ array_check(stavalues, false, range_length_hist_name, elevel))
+ {
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = staop;
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = stakind;
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = stacoll;
+ values[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = stanumbers;
+ values[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = stavalues;
+ stakindidx++;
+ }
+ else
+ {
+ range_empty_frac_isnull = true;
+ range_length_hist_isnull = true;
+ }
+ }
+
+ /* fill in all remaining slots */
+ while (stakindidx < STATISTIC_NUM_SLOTS)
+ {
+ values[Anum_pg_statistic_stakind1 - 1 + stakindidx] = Int16GetDatum(0);
+ values[Anum_pg_statistic_staop1 - 1 + stakindidx] = ObjectIdGetDatum(InvalidOid);
+ values[Anum_pg_statistic_stacoll1 - 1 + stakindidx] = ObjectIdGetDatum(InvalidOid);
+ nulls[Anum_pg_statistic_stanumbers1 - 1 + stakindidx] = true;
+ nulls[Anum_pg_statistic_stavalues1 - 1 + stakindidx] = true;
+
+ stakindidx++;
+ }
+
+ update_pg_statistic(values, nulls);
+
+ relation_close(rel, NoLock);
+
+ return true;
+}
+
+/*
+ * Import statistics for a given relation attribute.
+ *
+ * This will insert/replace a row in pg_statistic for the given relation and
+ * attribute name.
+ *
+ * The function takes input parameters that correspond to columns in the view
+ * pg_stats.
+ *
+ * Of those, the columns attname, inherited, null_frac, avg_width, and
+ * n_distinct all correspond to NOT NULL columns in pg_statistic. These
+ * parameters have no default value and passing NULL to them will result
+ * in an error.
+ *
+ * If there is no attribute with a matching attname in the relation, the
+ * function will raise an error. Likewise for setting inherited statistics
+ * on a table that is not partitioned.
+ *
+ * The remaining parameters all belong to a specific stakind. Some stakinds
+ * have multiple parameters, and in those cases both parameters must be
+ * NOT NULL or both NULL, otherwise an error will be raised.
+ *
+ * Omitting a parameter or explicitly passing NULL means that that particular
+ * stakind is not associated with the attribute.
+ *
+ * Parameters that are NOT NULL will be inspected for consistency checks,
+ * any of which can raise an error.
+ *
+ * Parameters corresponding to ANYARRAY columns are instead passed in as text
+ * values, which is a valid input string for an array of the type or element
+ * type of the attribute. Any error generated by the array_in() function will
+ * in turn fail the function.
+ */
+Datum
+pg_set_attribute_stats(PG_FUNCTION_ARGS)
+{
+ Datum version_datum = (Datum) 0;
+ bool version_isnull = true;
+ bool raise_errors = true;
+
+ attribute_statistics_update(
+ PG_GETARG_DATUM(0), PG_ARGISNULL(0),
+ PG_GETARG_DATUM(1), PG_ARGISNULL(1),
+ PG_GETARG_DATUM(2), PG_ARGISNULL(2),
+ version_datum, version_isnull,
+ PG_GETARG_DATUM(3), PG_ARGISNULL(3),
+ PG_GETARG_DATUM(4), PG_ARGISNULL(4),
+ PG_GETARG_DATUM(5), PG_ARGISNULL(5),
+ PG_GETARG_DATUM(6), PG_ARGISNULL(6),
+ PG_GETARG_DATUM(7), PG_ARGISNULL(7),
+ PG_GETARG_DATUM(8), PG_ARGISNULL(8),
+ PG_GETARG_DATUM(9), PG_ARGISNULL(9),
+ PG_GETARG_DATUM(10), PG_ARGISNULL(10),
+ PG_GETARG_DATUM(11), PG_ARGISNULL(11),
+ PG_GETARG_DATUM(12), PG_ARGISNULL(12),
+ PG_GETARG_DATUM(13), PG_ARGISNULL(13),
+ PG_GETARG_DATUM(14), PG_ARGISNULL(14),
+ PG_GETARG_DATUM(15), PG_ARGISNULL(15),
+ raise_errors);
+
+ PG_RETURN_VOID();
+}
diff --git a/src/test/regress/expected/stats_import.out b/src/test/regress/expected/stats_import.out
index e596e858d6..834950da72 100644
--- a/src/test/regress/expected/stats_import.out
+++ b/src/test/regress/expected/stats_import.out
@@ -93,7 +93,650 @@ WHERE oid = 'stats_import.test'::regclass;
18 | 401 | 5
(1 row)
+-- error: object doesn't exist
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => '0'::oid,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+ERROR: Parameter relation OID 0 is invalid
+-- error: relation null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => NULL::oid,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+ERROR: relation cannot be NULL
+-- error: attname null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => NULL::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+ERROR: attname cannot be NULL
+-- error: inherited null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => NULL::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+ERROR: inherited cannot be NULL
+-- error: null_frac null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => NULL::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+ERROR: null_frac cannot be NULL
+-- error: avg_width null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => NULL::integer,
+ n_distinct => 0.3::real);
+ERROR: avg_width cannot be NULL
+-- error: avg_width null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => NULL::real);
+ERROR: n_distinct cannot be NULL
+-- ok: no stakinds
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT stanullfrac, stawidth, stadistinct
+FROM pg_statistic
+WHERE starelid = 'stats_import.test'::regclass;
+ stanullfrac | stawidth | stadistinct
+-------------+----------+-------------
+ 0.1 | 2 | 0.3
+(1 row)
+
+-- warn: mcv / mcf null mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_freqs => '{0.1,0.2,0.3}'::real[]
+ );
+ERROR: most_common_vals cannot be NULL when most_common_freqs is NOT NULL
+-- warn: mcv / mcf null mismatch part 2
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{1,2,3}'::text
+ );
+ERROR: most_common_freqs cannot be NULL when most_common_vals is NOT NULL
+-- warn: mcv / mcf type mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2023-09-30,2024-10-31,3}'::text,
+ most_common_freqs => '{0.2,0.1}'::real[]
+ );
+ERROR: invalid input syntax for type integer: "2023-09-30"
+-- warning: mcv cast failure
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2,four,3}'::text,
+ most_common_freqs => '{0.3,0.25,0.05}'::real[]
+ );
+ERROR: invalid input syntax for type integer: "four"
+-- ok: mcv+mcf
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2,1,3}'::text,
+ most_common_freqs => '{0.3,0.25,0.05}'::real[]
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'id';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+----------------------+------------------------+------------------+------------------------
+ stats_import | test | id | f | 0.5 | 2 | -0.1 | {2,1,3} | {0.3,0.25,0.05} | | | | | | | |
+(1 row)
+
+-- warn: histogram elements null value
+-- this generates no warnings, but perhaps it should
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ histogram_bounds => '{1,NULL,3,4}'::text
+ );
+ERROR: histogram_bounds array cannot contain NULL values
+-- ok: histogram_bounds
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ histogram_bounds => '{1,2,3,4}'::text
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'id';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+----------------------+------------------------+------------------+------------------------
+ stats_import | test | id | f | 0.5 | 2 | -0.1 | | | {1,2,3,4} | | | | | | |
+(1 row)
+
+-- ok: correlation
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ correlation => 0.5::real);
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'id';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+----------------------+------------------------+------------------+------------------------
+ stats_import | test | id | f | 0.5 | 2 | -0.1 | | | | 0.5 | | | | | |
+(1 row)
+
+-- warn: scalars can't have mcelem
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elems => '{1,3}'::text,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3,0.0}'::real[]
+ );
+ERROR: Relation test attname id is a scalar type, cannot have stats of type most_common_elems, ignored
+-- warn: mcelem / mcelem mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elems => '{one,two}'::text
+ );
+ERROR: most_common_elem_freqs cannot be NULL when most_common_elems is NOT NULL
+-- warn: mcelem / mcelem null mismatch part 2
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3}'::real[]
+ );
+ERROR: most_common_elems cannot be NULL when most_common_elem_freqs is NOT NULL
+-- ok: mcelem
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elems => '{one,three}'::text,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3,0.0}'::real[]
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'tags';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+----------------------+------------------------+------------------+------------------------
+ stats_import | test | tags | f | 0.5 | 2 | -0.1 | | | | | {one,three} | {0.3,0.2,0.2,0.3,0} | | | |
+(1 row)
+
+-- warn: scalars can't have elem_count_histogram
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ elem_count_histogram => '{1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}'::real[]
+ );
+ERROR: Relation test attname id is a scalar type, cannot have stats of type elem_count_histogram, ignored
+-- warn: elem_count_histogram null element
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ elem_count_histogram => '{1,1,NULL,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}'::real[]
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+-- ok: elem_count_histogram
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ elem_count_histogram => '{1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}'::real[]
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'tags';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+------------------+------------------------
+ stats_import | test | tags | f | 0.5 | 2 | -0.1 | | | | | | | {1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1} | | |
+(1 row)
+
+-- warn: scalars can't have range stats
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_empty_frac => 0.5::real,
+ range_length_histogram => '{399,499,Infinity}'::text
+ );
+ERROR: Relation test attname id is not a range type, cannot have stats of type range_length_histogram
+-- warn: range_empty_frac range_length_hist null mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_length_histogram => '{399,499,Infinity}'::text
+ );
+ERROR: range_empty_frac cannot be NULL when range_length_histogram is NOT NULL
+-- warn: range_empty_frac range_length_hist null mismatch part 2
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_empty_frac => 0.5::real
+ );
+ERROR: range_length_histogram cannot be NULL when range_empty_frac is NOT NULL
+-- ok: range_empty_frac + range_length_hist
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_empty_frac => 0.5::real,
+ range_length_histogram => '{399,499,Infinity}'::text
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'arange';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+----------------------+------------------------+------------------+------------------------
+ stats_import | test | arange | f | 0.5 | 2 | -0.1 | | | | | | | | {399,499,Infinity} | 0.5 |
+(1 row)
+
+-- warn: scalars can't have range stats
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_bounds_histogram => '{"[-1,1)","[0,4)","[1,4)","[1,100)"}'::text
+ );
+ERROR: Relation test attname id is not a range type, cannot have stats of type range_bounds_histogram
+-- ok: range_bounds_histogram
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_bounds_histogram => '{"[-1,1)","[0,4)","[1,4)","[1,100)"}'::text
+ );
+ pg_set_attribute_stats
+------------------------
+
+(1 row)
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'arange';
+ schemaname | tablename | attname | inherited | null_frac | avg_width | n_distinct | most_common_vals | most_common_freqs | histogram_bounds | correlation | most_common_elems | most_common_elem_freqs | elem_count_histogram | range_length_histogram | range_empty_frac | range_bounds_histogram
+--------------+-----------+---------+-----------+-----------+-----------+------------+------------------+-------------------+------------------+-------------+-------------------+------------------------+----------------------+------------------------+------------------+--------------------------------------
+ stats_import | test | arange | f | 0.5 | 2 | -0.1 | | | | | | | | | | {"[-1,1)","[0,4)","[1,4)","[1,100)"}
+(1 row)
+
+-- warn: exceed STATISTIC_NUM_SLOTS
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2,1,3}'::text,
+ most_common_freqs => '{0.3,0.25,0.05}'::real[],
+ histogram_bounds => '{1,2,3,4}'::text,
+ correlation => 1.1::real,
+ most_common_elems => '{3,1}'::text,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3,0.0}'::real[],
+ range_empty_frac => -0.5::real,
+ range_length_histogram => '{399,499,Infinity}'::text,
+ range_bounds_histogram => '{"[-1,1)","[0,4)","[1,4)","[1,100)"}'::text
+ );
+ERROR: imported statistics must have a maximum of 5 slots but 6 given
+--
+-- Test the ability to exactly copy data from one table to an identical table,
+-- correctly reconstructing the stakind order as well as the staopN and
+-- stacollN values. Because oids are not stable across databases, we can only
+-- test this when the source and destination are on the same database
+-- instance. For that reason, we borrow and adapt a query found in fe_utils
+-- and used by pg_dump/pg_upgrade.
+--
+INSERT INTO stats_import.test
+SELECT 1, 'one', (1, 1.1, 'ONE', '2001-01-01', '{ "xkey": "xval" }')::stats_import.complex_type, int4range(1,4), array['red','green']
+UNION ALL
+SELECT 2, 'two', (2, 2.2, 'TWO', '2002-02-02', '[true, 4, "six"]')::stats_import.complex_type, int4range(1,4), array['blue','yellow']
+UNION ALL
+SELECT 3, 'tre', (3, 3.3, 'TRE', '2003-03-03', NULL)::stats_import.complex_type, int4range(-1,1), array['"orange"', 'purple', 'cyan']
+UNION ALL
+SELECT 4, 'four', NULL, int4range(0,100), NULL;
+CREATE INDEX is_odd ON stats_import.test(((comp).a % 2 = 1));
+-- Generate statistics on table with data
+ANALYZE stats_import.test;
+CREATE TABLE stats_import.test_clone ( LIKE stats_import.test );
+CREATE INDEX is_odd_clone ON stats_import.test_clone(((comp).a % 2 = 1));
+--
+-- Copy stats from test to test_clone, and is_odd to is_odd_clone
+--
+SELECT s.schemaname, s.tablename, s.attname, s.inherited
+FROM pg_catalog.pg_stats AS s
+CROSS JOIN LATERAL
+ pg_catalog.pg_set_attribute_stats(
+ relation => ('stats_import.' || s.tablename || '_clone')::regclass::oid,
+ attname => s.attname,
+ inherited => s.inherited,
+ null_frac => s.null_frac,
+ avg_width => s.avg_width,
+ n_distinct => s.n_distinct,
+ most_common_vals => s.most_common_vals::text,
+ most_common_freqs => s.most_common_freqs,
+ histogram_bounds => s.histogram_bounds::text,
+ correlation => s.correlation,
+ most_common_elems => s.most_common_elems::text,
+ most_common_elem_freqs => s.most_common_elem_freqs,
+ elem_count_histogram => s.elem_count_histogram,
+ range_bounds_histogram => s.range_bounds_histogram::text,
+ range_empty_frac => s.range_empty_frac,
+ range_length_histogram => s.range_length_histogram::text) AS r
+WHERE s.schemaname = 'stats_import'
+AND s.tablename IN ('test', 'is_odd')
+ORDER BY s.tablename, s.attname, s.inherited;
+ schemaname | tablename | attname | inherited
+--------------+-----------+---------+-----------
+ stats_import | is_odd | expr | f
+ stats_import | test | arange | f
+ stats_import | test | comp | f
+ stats_import | test | id | f
+ stats_import | test | name | f
+ stats_import | test | tags | f
+(6 rows)
+
+SELECT c.relname, COUNT(*) AS num_stats
+FROM pg_class AS c
+JOIN pg_statistic s ON s.starelid = c.oid
+WHERE c.relnamespace = 'stats_import'::regnamespace
+AND c.relname IN ('test', 'test_clone', 'is_odd', 'is_odd_clone')
+GROUP BY c.relname
+ORDER BY c.relname;
+ relname | num_stats
+--------------+-----------
+ is_odd | 1
+ is_odd_clone | 1
+ test | 5
+ test_clone | 5
+(4 rows)
+
+-- check test minus test_clone
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test_clone'::regclass;
+ attname | stainherit | stanullfrac | stawidth | stadistinct | stakind1 | stakind2 | stakind3 | stakind4 | stakind5 | staop1 | staop2 | staop3 | staop4 | staop5 | stacoll1 | stacoll2 | stacoll3 | stacoll4 | stacoll5 | stanumbers1 | stanumbers2 | stanumbers3 | stanumbers4 | stanumbers5 | sv1 | sv2 | sv3 | sv4 | sv5 | direction
+---------+------------+-------------+----------+-------------+----------+----------+----------+----------+----------+--------+--------+--------+--------+--------+----------+----------+----------+----------+----------+-------------+-------------+-------------+-------------+-------------+-----+-----+-----+-----+-----+-----------
+(0 rows)
+
+-- check test_clone minus test
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test_clone'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test'::regclass;
+ attname | stainherit | stanullfrac | stawidth | stadistinct | stakind1 | stakind2 | stakind3 | stakind4 | stakind5 | staop1 | staop2 | staop3 | staop4 | staop5 | stacoll1 | stacoll2 | stacoll3 | stacoll4 | stacoll5 | stanumbers1 | stanumbers2 | stanumbers3 | stanumbers4 | stanumbers5 | sv1 | sv2 | sv3 | sv4 | sv5 | direction
+---------+------------+-------------+----------+-------------+----------+----------+----------+----------+----------+--------+--------+--------+--------+--------+----------+----------+----------+----------+----------+-------------+-------------+-------------+-------------+-------------+-----+-----+-----+-----+-----+-----------
+(0 rows)
+
+-- check is_odd minus is_odd_clone
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd_clone'::regclass;
+ attname | stainherit | stanullfrac | stawidth | stadistinct | stakind1 | stakind2 | stakind3 | stakind4 | stakind5 | staop1 | staop2 | staop3 | staop4 | staop5 | stacoll1 | stacoll2 | stacoll3 | stacoll4 | stacoll5 | stanumbers1 | stanumbers2 | stanumbers3 | stanumbers4 | stanumbers5 | sv1 | sv2 | sv3 | sv4 | sv5 | direction
+---------+------------+-------------+----------+-------------+----------+----------+----------+----------+----------+--------+--------+--------+--------+--------+----------+----------+----------+----------+----------+-------------+-------------+-------------+-------------+-------------+-----+-----+-----+-----+-----+-----------
+(0 rows)
+
+-- check is_odd_clone minus is_odd
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd_clone'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd'::regclass;
+ attname | stainherit | stanullfrac | stawidth | stadistinct | stakind1 | stakind2 | stakind3 | stakind4 | stakind5 | staop1 | staop2 | staop3 | staop4 | staop5 | stacoll1 | stacoll2 | stacoll3 | stacoll4 | stacoll5 | stanumbers1 | stanumbers2 | stanumbers3 | stanumbers4 | stanumbers5 | sv1 | sv2 | sv3 | sv4 | sv5 | direction
+---------+------------+-------------+----------+-------------+----------+----------+----------+----------+----------+--------+--------+--------+--------+--------+----------+----------+----------+----------+----------+-------------+-------------+-------------+-------------+-------------+-----+-----+-----+-----+-----+-----------
+(0 rows)
+
DROP SCHEMA stats_import CASCADE;
-NOTICE: drop cascades to 2 other objects
+NOTICE: drop cascades to 3 other objects
DETAIL: drop cascades to type stats_import.complex_type
drop cascades to table stats_import.test
+drop cascades to table stats_import.test_clone
diff --git a/src/test/regress/sql/stats_import.sql b/src/test/regress/sql/stats_import.sql
index 282c031335..96795edf42 100644
--- a/src/test/regress/sql/stats_import.sql
+++ b/src/test/regress/sql/stats_import.sql
@@ -76,4 +76,548 @@ SELECT relpages, reltuples, relallvisible
FROM pg_class
WHERE oid = 'stats_import.test'::regclass;
+-- error: object doesn't exist
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => '0'::oid,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+
+-- error: relation null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => NULL::oid,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+
+-- error: attname null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => NULL::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+
+-- error: inherited null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => NULL::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+
+-- error: null_frac null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => NULL::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+
+-- error: avg_width null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => NULL::integer,
+ n_distinct => 0.3::real);
+
+-- error: avg_width null
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => NULL::real);
+
+-- ok: no stakinds
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.1::real,
+ avg_width => 2::integer,
+ n_distinct => 0.3::real);
+
+SELECT stanullfrac, stawidth, stadistinct
+FROM pg_statistic
+WHERE starelid = 'stats_import.test'::regclass;
+
+-- warn: mcv / mcf null mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_freqs => '{0.1,0.2,0.3}'::real[]
+ );
+
+-- warn: mcv / mcf null mismatch part 2
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{1,2,3}'::text
+ );
+
+-- warn: mcv / mcf type mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2023-09-30,2024-10-31,3}'::text,
+ most_common_freqs => '{0.2,0.1}'::real[]
+ );
+
+-- warning: mcv cast failure
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2,four,3}'::text,
+ most_common_freqs => '{0.3,0.25,0.05}'::real[]
+ );
+
+-- ok: mcv+mcf
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2,1,3}'::text,
+ most_common_freqs => '{0.3,0.25,0.05}'::real[]
+ );
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'id';
+
+-- warn: histogram elements null value
+-- this generates no warnings, but perhaps it should
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ histogram_bounds => '{1,NULL,3,4}'::text
+ );
+
+-- ok: histogram_bounds
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ histogram_bounds => '{1,2,3,4}'::text
+ );
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'id';
+
+-- ok: correlation
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ correlation => 0.5::real);
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'id';
+
+-- warn: scalars can't have mcelem
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elems => '{1,3}'::text,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3,0.0}'::real[]
+ );
+
+-- warn: mcelem / mcelem mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elems => '{one,two}'::text
+ );
+
+-- warn: mcelem / mcelem null mismatch part 2
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3}'::real[]
+ );
+
+-- ok: mcelem
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_elems => '{one,three}'::text,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3,0.0}'::real[]
+ );
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'tags';
+
+-- warn: scalars can't have elem_count_histogram
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ elem_count_histogram => '{1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}'::real[]
+ );
+-- warn: elem_count_histogram null element
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ elem_count_histogram => '{1,1,NULL,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}'::real[]
+ );
+-- ok: elem_count_histogram
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'tags'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ elem_count_histogram => '{1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}'::real[]
+ );
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'tags';
+
+-- warn: scalars can't have range stats
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_empty_frac => 0.5::real,
+ range_length_histogram => '{399,499,Infinity}'::text
+ );
+-- warn: range_empty_frac range_length_hist null mismatch
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_length_histogram => '{399,499,Infinity}'::text
+ );
+-- warn: range_empty_frac range_length_hist null mismatch part 2
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_empty_frac => 0.5::real
+ );
+-- ok: range_empty_frac + range_length_hist
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_empty_frac => 0.5::real,
+ range_length_histogram => '{399,499,Infinity}'::text
+ );
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'arange';
+
+-- warn: scalars can't have range stats
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'id'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_bounds_histogram => '{"[-1,1)","[0,4)","[1,4)","[1,100)"}'::text
+ );
+-- ok: range_bounds_histogram
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ range_bounds_histogram => '{"[-1,1)","[0,4)","[1,4)","[1,100)"}'::text
+ );
+
+SELECT *
+FROM pg_stats
+WHERE schemaname = 'stats_import'
+AND tablename = 'test'
+AND inherited = false
+AND attname = 'arange';
+
+-- warn: exceed STATISTIC_NUM_SLOTS
+SELECT pg_catalog.pg_set_attribute_stats(
+ relation => 'stats_import.test'::regclass,
+ attname => 'arange'::name,
+ inherited => false::boolean,
+ null_frac => 0.5::real,
+ avg_width => 2::integer,
+ n_distinct => -0.1::real,
+ most_common_vals => '{2,1,3}'::text,
+ most_common_freqs => '{0.3,0.25,0.05}'::real[],
+ histogram_bounds => '{1,2,3,4}'::text,
+ correlation => 1.1::real,
+ most_common_elems => '{3,1}'::text,
+ most_common_elem_freqs => '{0.3,0.2,0.2,0.3,0.0}'::real[],
+ range_empty_frac => -0.5::real,
+ range_length_histogram => '{399,499,Infinity}'::text,
+ range_bounds_histogram => '{"[-1,1)","[0,4)","[1,4)","[1,100)"}'::text
+ );
+--
+-- Test the ability to exactly copy data from one table to an identical table,
+-- correctly reconstructing the stakind order as well as the staopN and
+-- stacollN values. Because oids are not stable across databases, we can only
+-- test this when the source and destination are on the same database
+-- instance. For that reason, we borrow and adapt a query found in fe_utils
+-- and used by pg_dump/pg_upgrade.
+--
+INSERT INTO stats_import.test
+SELECT 1, 'one', (1, 1.1, 'ONE', '2001-01-01', '{ "xkey": "xval" }')::stats_import.complex_type, int4range(1,4), array['red','green']
+UNION ALL
+SELECT 2, 'two', (2, 2.2, 'TWO', '2002-02-02', '[true, 4, "six"]')::stats_import.complex_type, int4range(1,4), array['blue','yellow']
+UNION ALL
+SELECT 3, 'tre', (3, 3.3, 'TRE', '2003-03-03', NULL)::stats_import.complex_type, int4range(-1,1), array['"orange"', 'purple', 'cyan']
+UNION ALL
+SELECT 4, 'four', NULL, int4range(0,100), NULL;
+
+CREATE INDEX is_odd ON stats_import.test(((comp).a % 2 = 1));
+
+-- Generate statistics on table with data
+ANALYZE stats_import.test;
+
+CREATE TABLE stats_import.test_clone ( LIKE stats_import.test );
+
+CREATE INDEX is_odd_clone ON stats_import.test_clone(((comp).a % 2 = 1));
+
+--
+-- Copy stats from test to test_clone, and is_odd to is_odd_clone
+--
+SELECT s.schemaname, s.tablename, s.attname, s.inherited
+FROM pg_catalog.pg_stats AS s
+CROSS JOIN LATERAL
+ pg_catalog.pg_set_attribute_stats(
+ relation => ('stats_import.' || s.tablename || '_clone')::regclass::oid,
+ attname => s.attname,
+ inherited => s.inherited,
+ null_frac => s.null_frac,
+ avg_width => s.avg_width,
+ n_distinct => s.n_distinct,
+ most_common_vals => s.most_common_vals::text,
+ most_common_freqs => s.most_common_freqs,
+ histogram_bounds => s.histogram_bounds::text,
+ correlation => s.correlation,
+ most_common_elems => s.most_common_elems::text,
+ most_common_elem_freqs => s.most_common_elem_freqs,
+ elem_count_histogram => s.elem_count_histogram,
+ range_bounds_histogram => s.range_bounds_histogram::text,
+ range_empty_frac => s.range_empty_frac,
+ range_length_histogram => s.range_length_histogram::text) AS r
+WHERE s.schemaname = 'stats_import'
+AND s.tablename IN ('test', 'is_odd')
+ORDER BY s.tablename, s.attname, s.inherited;
+
+SELECT c.relname, COUNT(*) AS num_stats
+FROM pg_class AS c
+JOIN pg_statistic s ON s.starelid = c.oid
+WHERE c.relnamespace = 'stats_import'::regnamespace
+AND c.relname IN ('test', 'test_clone', 'is_odd', 'is_odd_clone')
+GROUP BY c.relname
+ORDER BY c.relname;
+
+-- check test minus test_clone
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test_clone'::regclass;
+
+-- check test_clone minus test
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test_clone'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'test_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.test'::regclass;
+
+-- check is_odd minus is_odd_clone
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd_clone'::regclass;
+
+-- check is_odd_clone minus is_odd
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd_clone'::regclass
+EXCEPT
+SELECT
+ a.attname, s.stainherit, s.stanullfrac, s.stawidth, s.stadistinct,
+ s.stakind1, s.stakind2, s.stakind3, s.stakind4, s.stakind5,
+ s.staop1, s.staop2, s.staop3, s.staop4, s.staop5,
+ s.stacoll1, s.stacoll2, s.stacoll3, s.stacoll4, s.stacoll5,
+ s.stanumbers1, s.stanumbers2, s.stanumbers3, s.stanumbers4, s.stanumbers5,
+ s.stavalues1::text AS sv1, s.stavalues2::text AS sv2,
+ s.stavalues3::text AS sv3, s.stavalues4::text AS sv4,
+ s.stavalues5::text AS sv5, 'is_odd_clone' AS direction
+FROM pg_statistic s
+JOIN pg_attribute a ON a.attrelid = s.starelid AND a.attnum = s.staattnum
+WHERE s.starelid = 'stats_import.is_odd'::regclass;
+
DROP SCHEMA stats_import CASCADE;
diff --git a/doc/src/sgml/func.sgml b/doc/src/sgml/func.sgml
index eda8a039e5..e05073167b 100644
--- a/doc/src/sgml/func.sgml
+++ b/doc/src/sgml/func.sgml
@@ -29837,6 +29837,69 @@ postgres=# SELECT '0/0'::pg_lsn + pd.segment_number * ps.setting::int + :offset
</para>
</entry>
</row>
+ <row>
+ <entry role="func_table_entry"><para role="func_signature">
+ <indexterm>
+ <primary>pg_set_attribute_stats</primary>
+ </indexterm>
+ <function>pg_set_attribute_stats</function> (
+ <parameter>relation</parameter> <type>regclass</type>
+ , <parameter>attname</parameter> <type>name</type>
+ , <parameter>inherited</parameter> <type>boolean</type>
+ , <parameter>null_frac</parameter> <type>real</type>
+ , <parameter>avg_width</parameter> <type>integer</type>
+ , <parameter>n_distinct</parameter> <type>real</type>
+ [, <parameter>most_common_vals</parameter> <type>text</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>most_common_freqs</parameter> <type>real[]</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>histogram_bounds</parameter> <type>text</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>correlation</parameter> <type>real</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>most_common_elems</parameter> <type>text</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>most_common_elem_freqs</parameter> <type>real[]</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>elem_count_histogram</parameter> <type>real[]</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>range_length_histogram</parameter> <type>text</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>range_empty_frac</parameter> <type>real</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ]
+ [, <parameter>range_bounds_histogram</parameter> <type>text</type>
+ <literal>DEFAULT</literal> <literal>NULL</literal> ] )
+ <returnvalue>void</returnvalue>
+ </para>
+ <para>
+ Replaces the <structname>pg_statistic</structname> row for the
+ <structname>pg_attribute</structname> row specified by
+ <parameter>relation</parameter>, <parameter>attname</parameter>
+ and <parameter>inherited</parameter>.
+ </para>
+ <para>
+ The purpose of this function is to allow the user to experiment with applying
+ hypothetical statistics to an attribute to see if it has an effect on the query
+ planner.
+ </para>
+ <para>
+ The remaining parameters all correspond to attributes of the same name
+ found in <link linkend="view-pg-stats"><structname>pg_stats</structname></link>,
+ and the values supplied in the parameter must meet the requirements of
+ the corresponding attribute. Any parameters not supplied are assumed to be NULL.
+ </para>
+ <para>
+ This function mimics the behavior of <command>ANALYZE</command> in its
+ effects on the values in <structname>pg_statistic</structname>, except
+ that the values are supplied as parameters rather than derived from
+ table sampling.
+ </para>
+ <para>
+ The caller must either be the owner of the relation, or have superuser
+ privileges.
+ </para>
+ </entry>
+ </row>
</tbody>
</tgroup>
</table>
--
2.45.2