Prod Redshift cluster, many users are executing this query against pg_catalog tables

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We have a mixture of Redshift users querying their own tables and this query against pg_catalog tables. The bulk of the users are QuckSight-specific users. Why is this query being run?

SELECT c.oid, a.attnum, a.attname, c.relname, n.nspname, a.attnotnull OR (t.typtype = 'd' AND t.typnotnull), pg_catalog.pg_get_expr(d.adbin, d.adrelid) LIKE '%nextval(%' FROM pg_catalog.pg_class c JOIN pg_catalog.pg_namespace n ON (c.relnamespace = n.oid) JOIN pg_catalog.pg_attribute a ON (c.oid = a.attrelid) JOIN pg_catalog.pg_type t ON (a.atttypid = t.oid) LEFT JOIN pg_catalog.pg_attrdef d ON (d.adrelid = a.attrelid AND d.adnum = a.attnum) JOIN (SELECT 3285788 AS oid , 2 AS attnum) vals ON (c.oid = vals.oid AND a.attnum = vals.attnum)

I discovered this in the SYS_QUERY_HISTORY view.

Lynne F
asked 2 months ago347 views
1 Answer
1
Accepted Answer

That is a simple catalog query that shows information about a column in a table.

SELECT c.oid, a.attnum, a.attname, c.relname, n.nspname, a.attnotnull OR (t.typtype = 'd' AND t.typnotnull), pg_catalog.pg_get_expr(d.adbin, d.adrelid) LIKE '%nextval(%' 
FROM pg_catalog.pg_class c 
JOIN pg_catalog.pg_namespace n ON (c.relnamespace = n.oid) 
JOIN pg_catalog.pg_attribute a ON (c.oid = a.attrelid) 
JOIN pg_catalog.pg_type t ON (a.atttypid = t.oid) 
LEFT JOIN pg_catalog.pg_attrdef d ON (d.adrelid = a.attrelid AND d.adnum = a.attnum) 
JOIN (SELECT 3285788 AS oid , 2 AS attnum) vals ON (c.oid = vals.oid AND a.attnum = vals.attnum)

JOIN (SELECT 3285788 AS oid , 2 AS attnum) vals is the critical piece here.

  • 3285788 is the unique OID for a table (pg_class).
  • 2 is the column number for table (pg_attribute).
  • It is an equal join so it only retrieves data for this one column.

So the query is getting the column name, nullable, and default value if any from that particular column. If you are seeing it a lot, QuickSight might be executing this for every column.

I would expect this is being done by QuickSight in order to build queries needed for reports.

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