Example 1 – Aggregate Window Function Over a Partition 594 Example 2 – Ranking Window Function With an ORDER BY Clause 594 Example 3 – Aggregate Function over a Row Window Frame 595 Example 4 – Aggregate Function DISTINCT Clause 1515 The UNION Clause 1515 The INTERSECT Clause 1516 The EXCEPT Clause 1516 The ORDER BY Clause 1517 The LIMIT Clause 1518 The Locking Clause 1518 The TABLE Command 1521 Examples 1521 ‘{6, NULL}’::int[]; INSERT INTO intarr_tbl SELECT 8, ‘{NULL, 7}’::int[]; SELECT gp_array_agg(arr ORDER BY arr) FROM intarr_tbl; A parallel version of array_agg(anyarray). Concatenates input arrays to

Example 1 – Aggregate Window Function Over a Partition 799 Example 2 – Ranking Window Function With an ORDER BY Clause 800 Example 3 – Aggregate Function over a Row Window Frame 800 Example 4 – Aggregate Function vity 1954 VMware Greenplum 6 Documentation VMware by Broadcom 116 optimizer_join_order 1954 optimizer_join_order_threshold 1955 optimizer_mdcache_size 1955 optimizer_metadata_caching 1955 optimizer_minidump FTS PROBE resulted in a memory leak. N/A Resolves an issue where queries that combined string_agg(ORDER BY) with agg(DISTINCT) led to incorrect results. N/A VMware Greenplum 6 Documentation VMware by

Example 1 – Aggregate Window Function Over a Partition 770 Example 2 – Ranking Window Function With an ORDER BY Clause 771 Example 3 – Aggregate Function over a Row Window Frame 771 Example 4 – Aggregate Function dqa 1912 optimizer_join_arity_for_associativity_commutativity 1912 optimizer_join_order 1913 optimizer_join_order_threshold 1914 optimizer_mdcache_size 1914 optimizer_metadata_caching 1914 optimizer_minidump incorrect or non-executable plan. 32958 Resolves an issue where unique key index order affected the distribution key order of a child partition. 32921 Fixes a deadlock condition that could occur with

Example 1 – Aggregate Window Function Over a Partition 763 Example 2 – Ranking Window Function With an ORDER BY Clause 764 Example 3 – Aggregate Function over a Row Window Frame 764 Example 4 – Aggregate Function (expr) WITHIN GROUP (ORDER BY expr [DESC/ASC]) timestamp, timestamptz, interval, float VMware Tanzu Greenplum 6 Documentation VMware, Inc 96 PERCENTILE_CONT(percentage) WITHIN GROUP (ORDER BY expression) expression) Example: SELECT department_id, PERCENTILE_CONT (0.5) WITHIN GROUP (ORDER BY salary DESC) “Median_cont”; FROM employees GROUP BY department_id; Performs an inverse distribution function that assumes a

Example 1 – Aggregate Window Function Over a Partition 791 Example 2 – Ranking Window Function With an ORDER BY Clause 791 Example 3 – Aggregate Function over a Row Window Frame 792 Example 4 – Aggregate Function dqa 1918 optimizer_join_arity_for_associativity_commutativity 1918 optimizer_join_order 1918 optimizer_join_order_threshold 1919 optimizer_mdcache_size 1919 optimizer_metadata_caching 1920 optimizer_minidump exclusively from system catalogs and contain in their query text pg_catalog schema tables only, in order to prevent the scheduler from blocking these queries. optimizer_discard_redistribute_hashjoin - provides

Example 1 – Aggregate Window Function Over a Partition 762 Example 2 – Ranking Window Function With an ORDER BY Clause 763 Example 3 – Aggregate Function over a Row Window Frame 764 Example 4 – Aggregate Function dqa 1846 optimizer_join_arity_for_associativity_commutativity 1847 optimizer_join_order 1847 optimizer_join_order_threshold 1848 optimizer_mdcache_size 1848 optimizer_metadata_caching 1848 optimizer_minidump on a single segment in order to ensure consistency and correct results. The code was modified to ensure that commonly-used aggregate functions which are not sensitive to the order of data (such as sum

Example 1 – Aggregate Window Function Over a Partition 888 Example 2 – Ranking Window Function With an ORDER BY Clause 889 Example 3 – Aggregate Function over a Row Window Frame 890 Example 4 – Aggregate Function dqa 1635 optimizer_join_arity_for_associativity_commutativity 1636 optimizer_join_order 1636 optimizer_join_order_threshold 1637 optimizer_mdcache_size 1637 optimizer_metadata_caching 1638 optimizer_minidump check for line datatypes. 12656 : Resolves an issue where Greenplum Database may incorrectly drop ORDER BY and DISTINCT ON clauses in a subquery when it pulls up sublinks. 11308 : Fixed a bug that caused

Example 1 – Aggregate Window Function Over a Partition 659 Example 2 – Ranking Window Function With an ORDER BY Clause 660 Example 3 – Aggregate Function over a Row Window Frame 660 Example 4 – Aggregate Function matrices. PERCENTILE_CONT (expr) WITHIN GROUP (ORDER BY expr [DESC/ASC]) timestamp, timestamptz, interval, float PERCENTILE_CONT(percentage) WITHIN GROUP (ORDER BY expression) Example: SELECT department_id department_id, PERCENTILE_CONT (0.5) WITHIN GROUP (ORDER BY salary DESC) “Median_cont”; FROM employees GROUP BY department_id; Performs an inverse distribution function that assumes a continuous distribution model

Example 1 – Aggregate Window Function Over a Partition 879 Example 2 – Ranking Window Function With an ORDER BY Clause 880 Example 3 – Aggregate Function over a Row Window Frame 881 Example 4 – Aggregate Function dqa 1624 optimizer_join_arity_for_associativity_commutativity 1625 optimizer_join_order 1625 optimizer_join_order_threshold 1626 optimizer_mdcache_size 1626 optimizer_metadata_caching 1627 optimizer_minidump generated a better plan with optimizer_join_order set to “greedy” in comparison to the default value of “exhaustive.” This occurred because the default join order algorithm was partial to finding a plan

Example 1 – Aggregate Window Function Over a Partition 811 Example 2 – Ranking Window Function With an ORDER BY Clause 812 Example 3 – Aggregate Function over a Row Window Frame 813 Example 4 – Aggregate Function dqa 1558 optimizer_join_arity_for_associativity_commutativity 1559 optimizer_join_order 1559 optimizer_join_order_threshold 1560 optimizer_mdcache_size 1560 optimizer_metadata_caching 1561 optimizer_minidump generated a better plan with optimizer_join_order set to "greedy" in comparison to the default value of "exhaustive." This occurred because the default join order algorithm was partial to finding a plan