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[PATCH v48 5/7] Doc part of shared-memory based stats collector. 2+ messages / 2 participants [nested] [flat]
* [PATCH v48 5/7] Doc part of shared-memory based stats collector. @ 2020-03-19 06:11 Kyotaro Horiguchi <[email protected]> 0 siblings, 0 replies; 2+ messages in thread From: Kyotaro Horiguchi @ 2020-03-19 06:11 UTC (permalink / raw) --- doc/src/sgml/catalogs.sgml | 6 +- doc/src/sgml/config.sgml | 27 +++--- doc/src/sgml/high-availability.sgml | 13 +-- doc/src/sgml/monitoring.sgml | 127 +++++++++++++--------------- doc/src/sgml/ref/pg_dump.sgml | 9 +- 5 files changed, 86 insertions(+), 96 deletions(-) diff --git a/doc/src/sgml/catalogs.sgml b/doc/src/sgml/catalogs.sgml index b1de6d0674..0ef684d4d0 100644 --- a/doc/src/sgml/catalogs.sgml +++ b/doc/src/sgml/catalogs.sgml @@ -9261,9 +9261,9 @@ SCRAM-SHA-256$<replaceable><iteration count></replaceable>:<replaceable>&l <para> <xref linkend="view-table"/> lists the system views described here. More detailed documentation of each view follows below. - There are some additional views that provide access to the results of - the statistics collector; they are described in <xref - linkend="monitoring-stats-views-table"/>. + There are some additional views that provide access to the activity + statistics; they are described in + <xref linkend="monitoring-stats-views-table"/>. </para> <para> diff --git a/doc/src/sgml/config.sgml b/doc/src/sgml/config.sgml index 967de73596..753b1ab6f9 100644 --- a/doc/src/sgml/config.sgml +++ b/doc/src/sgml/config.sgml @@ -7375,11 +7375,11 @@ COPY postgres_log FROM '/full/path/to/logfile.csv' WITH csv; <title>Run-time Statistics</title> <sect2 id="runtime-config-statistics-collector"> - <title>Query and Index Statistics Collector</title> + <title>Query and Index Activity Statistics</title> <para> - These parameters control server-wide statistics collection features. - When statistics collection is enabled, the data that is produced can be + These parameters control server-wide activity statistics features. + When activity statistics is enabled, the data that is produced can be accessed via the <structname>pg_stat</structname> and <structname>pg_statio</structname> family of system views. Refer to <xref linkend="monitoring"/> for more information. @@ -7395,14 +7395,13 @@ COPY postgres_log FROM '/full/path/to/logfile.csv' WITH csv; </term> <listitem> <para> - Enables the collection of information on the currently - executing command of each session, along with the time when - that command began execution. This parameter is on by - default. Note that even when enabled, this information is not - visible to all users, only to superusers and the user owning - the session being reported on, so it should not represent a - security risk. - Only superusers can change this setting. + Enables activity tracking on the currently executing command of + each session, along with the time when that command began + execution. This parameter is on by default. Note that even when + enabled, this information is not visible to all users, only to + superusers and the user owning the session being reported on, so it + should not represent a security risk. Only superusers can change this + setting. </para> </listitem> </varlistentry> @@ -7433,9 +7432,9 @@ COPY postgres_log FROM '/full/path/to/logfile.csv' WITH csv; </term> <listitem> <para> - Enables collection of statistics on database activity. + Enables tracking of database activity. This parameter is on by default, because the autovacuum - daemon needs the collected information. + daemon needs the activity information. Only superusers can change this setting. </para> </listitem> @@ -8533,7 +8532,7 @@ COPY postgres_log FROM '/full/path/to/logfile.csv' WITH csv; <listitem> <para> Specifies the fraction of the total number of heap tuples counted in - the previous statistics collection that can be inserted without + the previously collected statistics that can be inserted without incurring an index scan at the <command>VACUUM</command> cleanup stage. This setting currently applies to B-tree indexes only. </para> diff --git a/doc/src/sgml/high-availability.sgml b/doc/src/sgml/high-availability.sgml index f49f5c0108..45095857eb 100644 --- a/doc/src/sgml/high-availability.sgml +++ b/doc/src/sgml/high-availability.sgml @@ -2217,12 +2217,13 @@ HINT: You can then restart the server after making the necessary configuration </para> <para> - The statistics collector is active during recovery. All scans, reads, blocks, - index usage, etc., will be recorded normally on the standby. Replayed - actions will not duplicate their effects on primary, so replaying an - insert will not increment the Inserts column of pg_stat_user_tables. - The stats file is deleted at the start of recovery, so stats from primary - and standby will differ; this is considered a feature, not a bug. + The activity statistics is collected during recovery. All scans, reads, + blocks, index usage, etc., will be recorded normally on the + standby. Replayed actions will not duplicate their effects on primary, so + replaying an insert will not increment the Inserts column of + pg_stat_user_tables. The activity statistics is reset at the start of + recovery, so stats from primary and standby will differ; this is + considered a feature, not a bug. </para> <para> diff --git a/doc/src/sgml/monitoring.sgml b/doc/src/sgml/monitoring.sgml index 3513e127b7..a2dad90c91 100644 --- a/doc/src/sgml/monitoring.sgml +++ b/doc/src/sgml/monitoring.sgml @@ -22,7 +22,7 @@ <para> Several tools are available for monitoring database activity and analyzing performance. Most of this chapter is devoted to describing - <productname>PostgreSQL</productname>'s statistics collector, + <productname>PostgreSQL</productname>'s activity statistics, but one should not neglect regular Unix monitoring programs such as <command>ps</command>, <command>top</command>, <command>iostat</command>, and <command>vmstat</command>. Also, once one has identified a @@ -53,7 +53,6 @@ postgres 15554 0.0 0.0 57536 1184 ? Ss 18:02 0:00 postgres: back postgres 15555 0.0 0.0 57536 916 ? Ss 18:02 0:00 postgres: checkpointer postgres 15556 0.0 0.0 57536 916 ? Ss 18:02 0:00 postgres: walwriter postgres 15557 0.0 0.0 58504 2244 ? Ss 18:02 0:00 postgres: autovacuum launcher -postgres 15558 0.0 0.0 17512 1068 ? Ss 18:02 0:00 postgres: stats collector postgres 15582 0.0 0.0 58772 3080 ? Ss 18:04 0:00 postgres: joe runbug 127.0.0.1 idle postgres 15606 0.0 0.0 58772 3052 ? Ss 18:07 0:00 postgres: tgl regression [local] SELECT waiting postgres 15610 0.0 0.0 58772 3056 ? Ss 18:07 0:00 postgres: tgl regression [local] idle in transaction @@ -65,9 +64,8 @@ postgres 15610 0.0 0.0 58772 3056 ? Ss 18:07 0:00 postgres: tgl primary server process. The command arguments shown for it are the same ones used when it was launched. The next five processes are background worker processes automatically launched by the - primary process. (The <quote>stats collector</quote> process will not be present - if you have set the system not to start the statistics collector; likewise - the <quote>autovacuum launcher</quote> process can be disabled.) + primary process. (The <quote>autovacuum launcher</quote> process will not + be present if you have set the system not to start it.) Each of the remaining processes is a server process handling one client connection. Each such process sets its command line display in the form @@ -130,20 +128,21 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser </sect1> <sect1 id="monitoring-stats"> - <title>The Statistics Collector</title> + <title>The Activity Statistics</title> <indexterm zone="monitoring-stats"> <primary>statistics</primary> </indexterm> <para> - <productname>PostgreSQL</productname>'s <firstterm>statistics collector</firstterm> - is a subsystem that supports collection and reporting of information about - server activity. Presently, the collector can count accesses to tables - and indexes in both disk-block and individual-row terms. It also tracks - the total number of rows in each table, and information about vacuum and - analyze actions for each table. It can also count calls to user-defined - functions and the total time spent in each one. + <productname>PostgreSQL</productname>'s <firstterm>activity + statistics</firstterm> is a subsystem that supports tracking and reporting + of information about server activity. Presently, the activity statistics + tracks the count of accesses to tables and indexes in both disk-block and + individual-row terms. It also tracks the total number of rows in each + table, and information about vacuum and analyze actions for each table. It + can also track calls to user-defined functions and the total time spent in + each one. </para> <para> @@ -151,15 +150,15 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser information about exactly what is going on in the system right now, such as the exact command currently being executed by other server processes, and which other connections exist in the system. This facility is independent - of the collector process. + of the activity statistics. </para> <sect2 id="monitoring-stats-setup"> - <title>Statistics Collection Configuration</title> + <title>Activity Statistics Configuration</title> <para> - Since collection of statistics adds some overhead to query execution, - the system can be configured to collect or not collect information. + Since tracking for the activity statistics adds some overhead to query + execution, the system can be configured to track or not track activity. This is controlled by configuration parameters that are normally set in <filename>postgresql.conf</filename>. (See <xref linkend="runtime-config"/> for details about setting configuration parameters.) @@ -172,7 +171,7 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser <para> The parameter <xref linkend="guc-track-counts"/> controls whether - statistics are collected about table and index accesses. + to track activity about table and index accesses. </para> <para> @@ -196,18 +195,11 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser </para> <para> - The statistics collector transmits the collected information to other - <productname>PostgreSQL</productname> processes through temporary files. - These files are stored in the directory named by the - <xref linkend="guc-stats-temp-directory"/> parameter, - <filename>pg_stat_tmp</filename> by default. - For better performance, <varname>stats_temp_directory</varname> can be - pointed at a RAM-based file system, decreasing physical I/O requirements. - When the server shuts down cleanly, a permanent copy of the statistics - data is stored in the <filename>pg_stat</filename> subdirectory, so that - statistics can be retained across server restarts. When recovery is - performed at server start (e.g., after immediate shutdown, server crash, - and point-in-time recovery), all statistics counters are reset. + down cleanly, a permanent copy of the statistics data is stored in + the <filename>pg_stat</filename> subdirectory, so that statistics can be + retained across server restarts. When recovery is performed at server + start (e.g. after immediate shutdown, server crash, and point-in-time + recovery), all statistics counters are reset. </para> </sect2> @@ -220,48 +212,46 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser linkend="monitoring-stats-dynamic-views-table"/>, are available to show the current state of the system. There are also several other views, listed in <xref - linkend="monitoring-stats-views-table"/>, available to show the results - of statistics collection. Alternatively, one can - build custom views using the underlying statistics functions, as discussed - in <xref linkend="monitoring-stats-functions"/>. + linkend="monitoring-stats-views-table"/>, available to show the activity + statistics. Alternatively, one can build custom views using the underlying + statistics functions, as discussed in + <xref linkend="monitoring-stats-functions"/>. </para> <para> - When using the statistics to monitor collected data, it is important - to realize that the information does not update instantaneously. - Each individual server process transmits new statistical counts to - the collector just before going idle; so a query or transaction still in - progress does not affect the displayed totals. Also, the collector itself - emits a new report at most once per <varname>PGSTAT_STAT_INTERVAL</varname> - milliseconds (500 ms unless altered while building the server). So the - displayed information lags behind actual activity. However, current-query - information collected by <varname>track_activities</varname> is - always up-to-date. + When using the activity statistics, it is important to realize that the + information does not update instantaneously. Each individual server writes + out new statistical counts just before going idle, not frequent than once + per <varname>PGSTAT_STAT_INTERVAL</varname> milliseconds (1 second unless + altered while building the server); so a query or transaction still in + progress does not affect the displayed totals. However, current-query + information tracked by <varname>track_activities</varname> is always + up-to-date. </para> <para> Another important point is that when a server process is asked to display - any of these statistics, it first fetches the most recent report emitted by - the collector process and then continues to use this snapshot for all - statistical views and functions until the end of its current transaction. - So the statistics will show static information as long as you continue the - current transaction. Similarly, information about the current queries of - all sessions is collected when any such information is first requested - within a transaction, and the same information will be displayed throughout - the transaction. - This is a feature, not a bug, because it allows you to perform several - queries on the statistics and correlate the results without worrying that - the numbers are changing underneath you. But if you want to see new - results with each query, be sure to do the queries outside any transaction - block. Alternatively, you can invoke + any of these statistics, it first reads the current statistics and then + continues to use this snapshot for all statistical views and functions + until the end of its current transaction. So the statistics will show + static information as long as you continue the current transaction. + Similarly, information about the current queries of all sessions is tracked + when any such information is first requested within a transaction, and the + same information will be displayed throughout the transaction. This is a + feature, not a bug, because it allows you to perform several queries on the + statistics and correlate the results without worrying that the numbers are + changing underneath you. But if you want to see new results with each + query, be sure to do the queries outside any transaction block. + Alternatively, you can invoke <function>pg_stat_clear_snapshot</function>(), which will discard the current transaction's statistics snapshot (if any). The next use of statistical information will cause a new snapshot to be fetched. </para> - + <para> - A transaction can also see its own statistics (as yet untransmitted to the - collector) in the views <structname>pg_stat_xact_all_tables</structname>, + A transaction can also see its own statistics (as yet unwritten to the + server-wide activity statistics) in the + views <structname>pg_stat_xact_all_tables</structname>, <structname>pg_stat_xact_sys_tables</structname>, <structname>pg_stat_xact_user_tables</structname>, and <structname>pg_stat_xact_user_functions</structname>. These numbers do not act as @@ -643,7 +633,7 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser kernel's I/O cache, and might therefore still be fetched without requiring a physical read. Users interested in obtaining more detailed information on <productname>PostgreSQL</productname> I/O behavior are - advised to use the <productname>PostgreSQL</productname> statistics collector + advised to use the <productname>PostgreSQL</productname> activity statistics in combination with operating system utilities that allow insight into the kernel's handling of I/O. </para> @@ -1080,10 +1070,6 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser <entry><literal>LogicalLauncherMain</literal></entry> <entry>Waiting in main loop of logical replication launcher process.</entry> </row> - <row> - <entry><literal>PgStatMain</literal></entry> - <entry>Waiting in main loop of statistics collector process.</entry> - </row> <row> <entry><literal>RecoveryWalStream</literal></entry> <entry>Waiting in main loop of startup process for WAL to arrive, during @@ -1838,6 +1824,10 @@ postgres 27093 0.0 0.0 30096 2752 ? Ss 11:34 0:00 postgres: ser </thead> <tbody> + <row> + <entry><literal>ActivityStatistics</literal></entry> + <entry>Waiting to write out activity statistics to shared memory.</entry> + </row> <row> <entry><literal>AddinShmemInit</literal></entry> <entry>Waiting to manage an extension's space allocation in shared @@ -6071,9 +6061,10 @@ SELECT pg_stat_get_backend_pid(s.backendid) AS pid, <entry><literal>performing final cleanup</literal></entry> <entry> <command>VACUUM</command> is performing final cleanup. During this phase, - <command>VACUUM</command> will vacuum the free space map, update statistics - in <literal>pg_class</literal>, and report statistics to the statistics - collector. When this phase is completed, <command>VACUUM</command> will end. + <command>VACUUM</command> will vacuum the free space map, update + statistics in <literal>pg_class</literal>, and system-wide activity + statistics. When this phase is completed, <command>VACUUM</command> + will end. </entry> </row> </tbody> diff --git a/doc/src/sgml/ref/pg_dump.sgml b/doc/src/sgml/ref/pg_dump.sgml index bcbb7a25fb..1fa59a2fdf 100644 --- a/doc/src/sgml/ref/pg_dump.sgml +++ b/doc/src/sgml/ref/pg_dump.sgml @@ -1280,11 +1280,10 @@ PostgreSQL documentation </para> <para> - The database activity of <application>pg_dump</application> is - normally collected by the statistics collector. If this is - undesirable, you can set parameter <varname>track_counts</varname> - to false via <envar>PGOPTIONS</envar> or the <literal>ALTER - USER</literal> command. + The database activity of <application>pg_dump</application> is normally + collected. If this is undesirable, you can set + parameter <varname>track_counts</varname> to false + via <envar>PGOPTIONS</envar> or the <literal>ALTER USER</literal> command. </para> </refsect1> -- 2.27.0 ----Next_Part(Fri_Mar__5_17_18_56_2021_497)-- Content-Type: Text/X-Patch; charset=us-ascii Content-Transfer-Encoding: 7bit Content-Disposition: inline; filename="v48-0006-Remove-the-GUC-stats_temp_directory.patch" ^ permalink raw reply [nested|flat] 2+ messages in thread
* [PATCH v27 7/9] Row pattern recognition patch (tests). @ 2024-12-30 23:53 Tatsuo Ishii <[email protected]> 0 siblings, 0 replies; 2+ messages in thread From: Tatsuo Ishii @ 2024-12-30 23:53 UTC (permalink / raw) --- src/test/regress/expected/rpr.out | 919 +++++++++++++++++++++++++++++ src/test/regress/parallel_schedule | 2 +- src/test/regress/sql/rpr.sql | 467 +++++++++++++++ 3 files changed, 1387 insertions(+), 1 deletion(-) create mode 100644 src/test/regress/expected/rpr.out create mode 100644 src/test/regress/sql/rpr.sql diff --git a/src/test/regress/expected/rpr.out b/src/test/regress/expected/rpr.out new file mode 100644 index 0000000000..b8cd6190b4 --- /dev/null +++ b/src/test/regress/expected/rpr.out @@ -0,0 +1,919 @@ +-- +-- Test for row pattern definition clause +-- +CREATE TEMP TABLE stock ( + company TEXT, + tdate DATE, + price INTEGER +); +INSERT INTO stock VALUES ('company1', '2023-07-01', 100); +INSERT INTO stock VALUES ('company1', '2023-07-02', 200); +INSERT INTO stock VALUES ('company1', '2023-07-03', 150); +INSERT INTO stock VALUES ('company1', '2023-07-04', 140); +INSERT INTO stock VALUES ('company1', '2023-07-05', 150); +INSERT INTO stock VALUES ('company1', '2023-07-06', 90); +INSERT INTO stock VALUES ('company1', '2023-07-07', 110); +INSERT INTO stock VALUES ('company1', '2023-07-08', 130); +INSERT INTO stock VALUES ('company1', '2023-07-09', 120); +INSERT INTO stock VALUES ('company1', '2023-07-10', 130); +INSERT INTO stock VALUES ('company2', '2023-07-01', 50); +INSERT INTO stock VALUES ('company2', '2023-07-02', 2000); +INSERT INTO stock VALUES ('company2', '2023-07-03', 1500); +INSERT INTO stock VALUES ('company2', '2023-07-04', 1400); +INSERT INTO stock VALUES ('company2', '2023-07-05', 1500); +INSERT INTO stock VALUES ('company2', '2023-07-06', 60); +INSERT INTO stock VALUES ('company2', '2023-07-07', 1100); +INSERT INTO stock VALUES ('company2', '2023-07-08', 1300); +INSERT INTO stock VALUES ('company2', '2023-07-09', 1200); +INSERT INTO stock VALUES ('company2', '2023-07-10', 1300); +SELECT * FROM stock; + company | tdate | price +----------+------------+------- + company1 | 07-01-2023 | 100 + company1 | 07-02-2023 | 200 + company1 | 07-03-2023 | 150 + company1 | 07-04-2023 | 140 + company1 | 07-05-2023 | 150 + company1 | 07-06-2023 | 90 + company1 | 07-07-2023 | 110 + company1 | 07-08-2023 | 130 + company1 | 07-09-2023 | 120 + company1 | 07-10-2023 | 130 + company2 | 07-01-2023 | 50 + company2 | 07-02-2023 | 2000 + company2 | 07-03-2023 | 1500 + company2 | 07-04-2023 | 1400 + company2 | 07-05-2023 | 1500 + company2 | 07-06-2023 | 60 + company2 | 07-07-2023 | 1100 + company2 | 07-08-2023 | 1300 + company2 | 07-09-2023 | 1200 + company2 | 07-10-2023 | 1300 +(20 rows) + +-- basic test using PREV +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | nth_second +----------+------------+-------+-------------+------------+------------ + company1 | 07-01-2023 | 100 | 100 | 140 | 07-02-2023 + company1 | 07-02-2023 | 200 | | | + company1 | 07-03-2023 | 150 | | | + company1 | 07-04-2023 | 140 | | | + company1 | 07-05-2023 | 150 | | | + company1 | 07-06-2023 | 90 | 90 | 120 | 07-07-2023 + company1 | 07-07-2023 | 110 | | | + company1 | 07-08-2023 | 130 | | | + company1 | 07-09-2023 | 120 | | | + company1 | 07-10-2023 | 130 | | | + company2 | 07-01-2023 | 50 | 50 | 1400 | 07-02-2023 + company2 | 07-02-2023 | 2000 | | | + company2 | 07-03-2023 | 1500 | | | + company2 | 07-04-2023 | 1400 | | | + company2 | 07-05-2023 | 1500 | | | + company2 | 07-06-2023 | 60 | 60 | 1200 | 07-07-2023 + company2 | 07-07-2023 | 1100 | | | + company2 | 07-08-2023 | 1300 | | | + company2 | 07-09-2023 | 1200 | | | + company2 | 07-10-2023 | 1300 | | | +(20 rows) + +-- basic test using PREV. UP appears twice +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+ UP+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | nth_second +----------+------------+-------+-------------+------------+------------ + company1 | 07-01-2023 | 100 | 100 | 150 | 07-02-2023 + company1 | 07-02-2023 | 200 | | | + company1 | 07-03-2023 | 150 | | | + company1 | 07-04-2023 | 140 | | | + company1 | 07-05-2023 | 150 | | | + company1 | 07-06-2023 | 90 | 90 | 130 | 07-07-2023 + company1 | 07-07-2023 | 110 | | | + company1 | 07-08-2023 | 130 | | | + company1 | 07-09-2023 | 120 | | | + company1 | 07-10-2023 | 130 | | | + company2 | 07-01-2023 | 50 | 50 | 1500 | 07-02-2023 + company2 | 07-02-2023 | 2000 | | | + company2 | 07-03-2023 | 1500 | | | + company2 | 07-04-2023 | 1400 | | | + company2 | 07-05-2023 | 1500 | | | + company2 | 07-06-2023 | 60 | 60 | 1300 | 07-07-2023 + company2 | 07-07-2023 | 1100 | | | + company2 | 07-08-2023 | 1300 | | | + company2 | 07-09-2023 | 1200 | | | + company2 | 07-10-2023 | 1300 | | | +(20 rows) + +-- basic test using PREV. Use '*' +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP* DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | nth_second +----------+------------+-------+-------------+------------+------------ + company1 | 07-01-2023 | 100 | 100 | 140 | 07-02-2023 + company1 | 07-02-2023 | 200 | | | + company1 | 07-03-2023 | 150 | | | + company1 | 07-04-2023 | 140 | | | + company1 | 07-05-2023 | 150 | 150 | 90 | 07-06-2023 + company1 | 07-06-2023 | 90 | | | + company1 | 07-07-2023 | 110 | 110 | 120 | 07-08-2023 + company1 | 07-08-2023 | 130 | | | + company1 | 07-09-2023 | 120 | | | + company1 | 07-10-2023 | 130 | | | + company2 | 07-01-2023 | 50 | 50 | 1400 | 07-02-2023 + company2 | 07-02-2023 | 2000 | | | + company2 | 07-03-2023 | 1500 | | | + company2 | 07-04-2023 | 1400 | | | + company2 | 07-05-2023 | 1500 | 1500 | 60 | 07-06-2023 + company2 | 07-06-2023 | 60 | | | + company2 | 07-07-2023 | 1100 | 1100 | 1200 | 07-08-2023 + company2 | 07-08-2023 | 1300 | | | + company2 | 07-09-2023 | 1200 | | | + company2 | 07-10-2023 | 1300 | | | +(20 rows) + +-- basic test with none greedy pattern +SELECT company, tdate, price, count(*) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (A A A) + DEFINE + A AS price >= 140 AND price <= 150 +); + company | tdate | price | count +----------+------------+-------+------- + company1 | 07-01-2023 | 100 | 0 + company1 | 07-02-2023 | 200 | 0 + company1 | 07-03-2023 | 150 | 3 + company1 | 07-04-2023 | 140 | 0 + company1 | 07-05-2023 | 150 | 0 + company1 | 07-06-2023 | 90 | 0 + company1 | 07-07-2023 | 110 | 0 + company1 | 07-08-2023 | 130 | 0 + company1 | 07-09-2023 | 120 | 0 + company1 | 07-10-2023 | 130 | 0 + company2 | 07-01-2023 | 50 | 0 + company2 | 07-02-2023 | 2000 | 0 + company2 | 07-03-2023 | 1500 | 0 + company2 | 07-04-2023 | 1400 | 0 + company2 | 07-05-2023 | 1500 | 0 + company2 | 07-06-2023 | 60 | 0 + company2 | 07-07-2023 | 1100 | 0 + company2 | 07-08-2023 | 1300 | 0 + company2 | 07-09-2023 | 1200 | 0 + company2 | 07-10-2023 | 1300 | 0 +(20 rows) + +-- last_value() should remain consistent +SELECT company, tdate, price, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | last_value +----------+------------+-------+------------ + company1 | 07-01-2023 | 100 | 140 + company1 | 07-02-2023 | 200 | + company1 | 07-03-2023 | 150 | + company1 | 07-04-2023 | 140 | + company1 | 07-05-2023 | 150 | + company1 | 07-06-2023 | 90 | 120 + company1 | 07-07-2023 | 110 | + company1 | 07-08-2023 | 130 | + company1 | 07-09-2023 | 120 | + company1 | 07-10-2023 | 130 | + company2 | 07-01-2023 | 50 | 1400 + company2 | 07-02-2023 | 2000 | + company2 | 07-03-2023 | 1500 | + company2 | 07-04-2023 | 1400 | + company2 | 07-05-2023 | 1500 | + company2 | 07-06-2023 | 60 | 1200 + company2 | 07-07-2023 | 1100 | + company2 | 07-08-2023 | 1300 | + company2 | 07-09-2023 | 1200 | + company2 | 07-10-2023 | 1300 | +(20 rows) + +-- omit "START" in DEFINE but it is ok because "START AS TRUE" is +-- implicitly defined. per spec. +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | nth_second +----------+------------+-------+-------------+------------+------------ + company1 | 07-01-2023 | 100 | 100 | 140 | 07-02-2023 + company1 | 07-02-2023 | 200 | | | + company1 | 07-03-2023 | 150 | | | + company1 | 07-04-2023 | 140 | | | + company1 | 07-05-2023 | 150 | | | + company1 | 07-06-2023 | 90 | 90 | 120 | 07-07-2023 + company1 | 07-07-2023 | 110 | | | + company1 | 07-08-2023 | 130 | | | + company1 | 07-09-2023 | 120 | | | + company1 | 07-10-2023 | 130 | | | + company2 | 07-01-2023 | 50 | 50 | 1400 | 07-02-2023 + company2 | 07-02-2023 | 2000 | | | + company2 | 07-03-2023 | 1500 | | | + company2 | 07-04-2023 | 1400 | | | + company2 | 07-05-2023 | 1500 | | | + company2 | 07-06-2023 | 60 | 60 | 1200 | 07-07-2023 + company2 | 07-07-2023 | 1100 | | | + company2 | 07-08-2023 | 1300 | | | + company2 | 07-09-2023 | 1200 | | | + company2 | 07-10-2023 | 1300 | | | +(20 rows) + +-- the first row start with less than or equal to 100 +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (LOWPRICE UP+ DOWN+) + DEFINE + LOWPRICE AS price <= 100, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | 100 | 140 + company1 | 07-02-2023 | 200 | | + company1 | 07-03-2023 | 150 | | + company1 | 07-04-2023 | 140 | | + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | 90 | 120 + company1 | 07-07-2023 | 110 | | + company1 | 07-08-2023 | 130 | | + company1 | 07-09-2023 | 120 | | + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | 50 | 1400 + company2 | 07-02-2023 | 2000 | | + company2 | 07-03-2023 | 1500 | | + company2 | 07-04-2023 | 1400 | | + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | 60 | 1200 + company2 | 07-07-2023 | 1100 | | + company2 | 07-08-2023 | 1300 | | + company2 | 07-09-2023 | 1200 | | + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- second row raises 120% +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (LOWPRICE UP+ DOWN+) + DEFINE + LOWPRICE AS price <= 100, + UP AS price > PREV(price) * 1.2, + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | 100 | 140 + company1 | 07-02-2023 | 200 | | + company1 | 07-03-2023 | 150 | | + company1 | 07-04-2023 | 140 | | + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | | + company1 | 07-07-2023 | 110 | | + company1 | 07-08-2023 | 130 | | + company1 | 07-09-2023 | 120 | | + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | 50 | 1400 + company2 | 07-02-2023 | 2000 | | + company2 | 07-03-2023 | 1500 | | + company2 | 07-04-2023 | 1400 | | + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | | + company2 | 07-07-2023 | 1100 | | + company2 | 07-08-2023 | 1300 | | + company2 | 07-09-2023 | 1200 | | + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- using NEXT +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UPDOWN) + DEFINE + START AS TRUE, + UPDOWN AS price > PREV(price) AND price > NEXT(price) +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | 100 | 200 + company1 | 07-02-2023 | 200 | | + company1 | 07-03-2023 | 150 | | + company1 | 07-04-2023 | 140 | 140 | 150 + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | | + company1 | 07-07-2023 | 110 | 110 | 130 + company1 | 07-08-2023 | 130 | | + company1 | 07-09-2023 | 120 | | + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | 50 | 2000 + company2 | 07-02-2023 | 2000 | | + company2 | 07-03-2023 | 1500 | | + company2 | 07-04-2023 | 1400 | 1400 | 1500 + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | | + company2 | 07-07-2023 | 1100 | 1100 | 1300 + company2 | 07-08-2023 | 1300 | | + company2 | 07-09-2023 | 1200 | | + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- using AFTER MATCH SKIP TO NEXT ROW +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + INITIAL + PATTERN (START UPDOWN) + DEFINE + START AS TRUE, + UPDOWN AS price > PREV(price) AND price > NEXT(price) +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | 100 | 200 + company1 | 07-02-2023 | 200 | | + company1 | 07-03-2023 | 150 | | + company1 | 07-04-2023 | 140 | 140 | 150 + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | | + company1 | 07-07-2023 | 110 | 110 | 130 + company1 | 07-08-2023 | 130 | | + company1 | 07-09-2023 | 120 | | + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | 50 | 2000 + company2 | 07-02-2023 | 2000 | | + company2 | 07-03-2023 | 1500 | | + company2 | 07-04-2023 | 1400 | 1400 | 1500 + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | | + company2 | 07-07-2023 | 1100 | 1100 | 1300 + company2 | 07-08-2023 | 1300 | | + company2 | 07-09-2023 | 1200 | | + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- match everything +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN (A+) + DEFINE + A AS TRUE +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | 100 | 130 + company1 | 07-02-2023 | 200 | | + company1 | 07-03-2023 | 150 | | + company1 | 07-04-2023 | 140 | | + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | | + company1 | 07-07-2023 | 110 | | + company1 | 07-08-2023 | 130 | | + company1 | 07-09-2023 | 120 | | + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | 50 | 1300 + company2 | 07-02-2023 | 2000 | | + company2 | 07-03-2023 | 1500 | | + company2 | 07-04-2023 | 1400 | | + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | | + company2 | 07-07-2023 | 1100 | | + company2 | 07-08-2023 | 1300 | | + company2 | 07-09-2023 | 1200 | | + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- backtracking with reclassification of rows +-- using AFTER MATCH SKIP PAST LAST ROW +SELECT company, tdate, price, first_value(tdate) OVER w, last_value(tdate) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN (A+ B+) + DEFINE + A AS price > 100, + B AS price > 100 +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | | + company1 | 07-02-2023 | 200 | 07-02-2023 | 07-05-2023 + company1 | 07-03-2023 | 150 | | + company1 | 07-04-2023 | 140 | | + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | | + company1 | 07-07-2023 | 110 | 07-07-2023 | 07-10-2023 + company1 | 07-08-2023 | 130 | | + company1 | 07-09-2023 | 120 | | + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | | + company2 | 07-02-2023 | 2000 | 07-02-2023 | 07-05-2023 + company2 | 07-03-2023 | 1500 | | + company2 | 07-04-2023 | 1400 | | + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | | + company2 | 07-07-2023 | 1100 | 07-07-2023 | 07-10-2023 + company2 | 07-08-2023 | 1300 | | + company2 | 07-09-2023 | 1200 | | + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- backtracking with reclassification of rows +-- using AFTER MATCH SKIP TO NEXT ROW +SELECT company, tdate, price, first_value(tdate) OVER w, last_value(tdate) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + INITIAL + PATTERN (A+ B+) + DEFINE + A AS price > 100, + B AS price > 100 +); + company | tdate | price | first_value | last_value +----------+------------+-------+-------------+------------ + company1 | 07-01-2023 | 100 | | + company1 | 07-02-2023 | 200 | 07-02-2023 | 07-05-2023 + company1 | 07-03-2023 | 150 | 07-03-2023 | 07-05-2023 + company1 | 07-04-2023 | 140 | 07-04-2023 | 07-05-2023 + company1 | 07-05-2023 | 150 | | + company1 | 07-06-2023 | 90 | | + company1 | 07-07-2023 | 110 | 07-07-2023 | 07-10-2023 + company1 | 07-08-2023 | 130 | 07-08-2023 | 07-10-2023 + company1 | 07-09-2023 | 120 | 07-09-2023 | 07-10-2023 + company1 | 07-10-2023 | 130 | | + company2 | 07-01-2023 | 50 | | + company2 | 07-02-2023 | 2000 | 07-02-2023 | 07-05-2023 + company2 | 07-03-2023 | 1500 | 07-03-2023 | 07-05-2023 + company2 | 07-04-2023 | 1400 | 07-04-2023 | 07-05-2023 + company2 | 07-05-2023 | 1500 | | + company2 | 07-06-2023 | 60 | | + company2 | 07-07-2023 | 1100 | 07-07-2023 | 07-10-2023 + company2 | 07-08-2023 | 1300 | 07-08-2023 | 07-10-2023 + company2 | 07-09-2023 | 1200 | 07-09-2023 | 07-10-2023 + company2 | 07-10-2023 | 1300 | | +(20 rows) + +-- ROWS BETWEEN CURRENT ROW AND offset FOLLOWING +SELECT company, tdate, price, first_value(tdate) OVER w, last_value(tdate) OVER w, + count(*) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND 2 FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | count +----------+------------+-------+-------------+------------+------- + company1 | 07-01-2023 | 100 | 07-01-2023 | 07-03-2023 | 3 + company1 | 07-02-2023 | 200 | | | 0 + company1 | 07-03-2023 | 150 | | | 0 + company1 | 07-04-2023 | 140 | 07-04-2023 | 07-06-2023 | 3 + company1 | 07-05-2023 | 150 | | | 0 + company1 | 07-06-2023 | 90 | | | 0 + company1 | 07-07-2023 | 110 | 07-07-2023 | 07-09-2023 | 3 + company1 | 07-08-2023 | 130 | | | 0 + company1 | 07-09-2023 | 120 | | | 0 + company1 | 07-10-2023 | 130 | | | 0 + company2 | 07-01-2023 | 50 | 07-01-2023 | 07-03-2023 | 3 + company2 | 07-02-2023 | 2000 | | | 0 + company2 | 07-03-2023 | 1500 | | | 0 + company2 | 07-04-2023 | 1400 | 07-04-2023 | 07-06-2023 | 3 + company2 | 07-05-2023 | 1500 | | | 0 + company2 | 07-06-2023 | 60 | | | 0 + company2 | 07-07-2023 | 1100 | 07-07-2023 | 07-09-2023 | 3 + company2 | 07-08-2023 | 1300 | | | 0 + company2 | 07-09-2023 | 1200 | | | 0 + company2 | 07-10-2023 | 1300 | | | 0 +(20 rows) + +-- +-- Aggregates +-- +-- using AFTER MATCH SKIP PAST LAST ROW +SELECT company, tdate, price, + first_value(price) OVER w, + last_value(price) OVER w, + max(price) OVER w, + min(price) OVER w, + sum(price) OVER w, + avg(price) OVER w, + count(price) OVER w +FROM stock +WINDOW w AS ( +PARTITION BY company +ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING +AFTER MATCH SKIP PAST LAST ROW +INITIAL +PATTERN (START UP+ DOWN+) +DEFINE +START AS TRUE, +UP AS price > PREV(price), +DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | max | min | sum | avg | count +----------+------------+-------+-------------+------------+------+-----+------+-----------------------+------- + company1 | 07-01-2023 | 100 | 100 | 140 | 200 | 100 | 590 | 147.5000000000000000 | 4 + company1 | 07-02-2023 | 200 | | | | | | | 0 + company1 | 07-03-2023 | 150 | | | | | | | 0 + company1 | 07-04-2023 | 140 | | | | | | | 0 + company1 | 07-05-2023 | 150 | | | | | | | 0 + company1 | 07-06-2023 | 90 | 90 | 120 | 130 | 90 | 450 | 112.5000000000000000 | 4 + company1 | 07-07-2023 | 110 | | | | | | | 0 + company1 | 07-08-2023 | 130 | | | | | | | 0 + company1 | 07-09-2023 | 120 | | | | | | | 0 + company1 | 07-10-2023 | 130 | | | | | | | 0 + company2 | 07-01-2023 | 50 | 50 | 1400 | 2000 | 50 | 4950 | 1237.5000000000000000 | 4 + company2 | 07-02-2023 | 2000 | | | | | | | 0 + company2 | 07-03-2023 | 1500 | | | | | | | 0 + company2 | 07-04-2023 | 1400 | | | | | | | 0 + company2 | 07-05-2023 | 1500 | | | | | | | 0 + company2 | 07-06-2023 | 60 | 60 | 1200 | 1300 | 60 | 3660 | 915.0000000000000000 | 4 + company2 | 07-07-2023 | 1100 | | | | | | | 0 + company2 | 07-08-2023 | 1300 | | | | | | | 0 + company2 | 07-09-2023 | 1200 | | | | | | | 0 + company2 | 07-10-2023 | 1300 | | | | | | | 0 +(20 rows) + +-- using AFTER MATCH SKIP TO NEXT ROW +SELECT company, tdate, price, + first_value(price) OVER w, + last_value(price) OVER w, + max(price) OVER w, + min(price) OVER w, + sum(price) OVER w, + avg(price) OVER w, + count(price) OVER w +FROM stock +WINDOW w AS ( +PARTITION BY company +ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING +AFTER MATCH SKIP TO NEXT ROW +INITIAL +PATTERN (START UP+ DOWN+) +DEFINE +START AS TRUE, +UP AS price > PREV(price), +DOWN AS price < PREV(price) +); + company | tdate | price | first_value | last_value | max | min | sum | avg | count +----------+------------+-------+-------------+------------+------+------+------+-----------------------+------- + company1 | 07-01-2023 | 100 | 100 | 140 | 200 | 100 | 590 | 147.5000000000000000 | 4 + company1 | 07-02-2023 | 200 | | | | | | | 0 + company1 | 07-03-2023 | 150 | | | | | | | 0 + company1 | 07-04-2023 | 140 | 140 | 90 | 150 | 90 | 380 | 126.6666666666666667 | 3 + company1 | 07-05-2023 | 150 | | | | | | | 0 + company1 | 07-06-2023 | 90 | 90 | 120 | 130 | 90 | 450 | 112.5000000000000000 | 4 + company1 | 07-07-2023 | 110 | 110 | 120 | 130 | 110 | 360 | 120.0000000000000000 | 3 + company1 | 07-08-2023 | 130 | | | | | | | 0 + company1 | 07-09-2023 | 120 | | | | | | | 0 + company1 | 07-10-2023 | 130 | | | | | | | 0 + company2 | 07-01-2023 | 50 | 50 | 1400 | 2000 | 50 | 4950 | 1237.5000000000000000 | 4 + company2 | 07-02-2023 | 2000 | | | | | | | 0 + company2 | 07-03-2023 | 1500 | | | | | | | 0 + company2 | 07-04-2023 | 1400 | 1400 | 60 | 1500 | 60 | 2960 | 986.6666666666666667 | 3 + company2 | 07-05-2023 | 1500 | | | | | | | 0 + company2 | 07-06-2023 | 60 | 60 | 1200 | 1300 | 60 | 3660 | 915.0000000000000000 | 4 + company2 | 07-07-2023 | 1100 | 1100 | 1200 | 1300 | 1100 | 3600 | 1200.0000000000000000 | 3 + company2 | 07-08-2023 | 1300 | | | | | | | 0 + company2 | 07-09-2023 | 1200 | | | | | | | 0 + company2 | 07-10-2023 | 1300 | | | | | | | 0 +(20 rows) + +-- JOIN case +CREATE TEMP TABLE t1 (i int, v1 int); +CREATE TEMP TABLE t2 (j int, v2 int); +INSERT INTO t1 VALUES(1,10); +INSERT INTO t1 VALUES(1,11); +INSERT INTO t1 VALUES(1,12); +INSERT INTO t2 VALUES(2,10); +INSERT INTO t2 VALUES(2,11); +INSERT INTO t2 VALUES(2,12); +SELECT * FROM t1, t2 WHERE t1.v1 <= 11 AND t2.v2 <= 11; + i | v1 | j | v2 +---+----+---+---- + 1 | 10 | 2 | 10 + 1 | 10 | 2 | 11 + 1 | 11 | 2 | 10 + 1 | 11 | 2 | 11 +(4 rows) + +SELECT *, count(*) OVER w FROM t1, t2 +WINDOW w AS ( + PARTITION BY t1.i + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (A) + DEFINE + A AS v1 <= 11 AND v2 <= 11 +); + i | v1 | j | v2 | count +---+----+---+----+------- + 1 | 10 | 2 | 10 | 1 + 1 | 10 | 2 | 11 | 1 + 1 | 10 | 2 | 12 | 0 + 1 | 11 | 2 | 10 | 1 + 1 | 11 | 2 | 11 | 1 + 1 | 11 | 2 | 12 | 0 + 1 | 12 | 2 | 10 | 0 + 1 | 12 | 2 | 11 | 0 + 1 | 12 | 2 | 12 | 0 +(9 rows) + +-- WITH case +WITH wstock AS ( + SELECT * FROM stock WHERE tdate < '2023-07-08' +) +SELECT tdate, price, +first_value(tdate) OVER w, +count(*) OVER w + FROM wstock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + tdate | price | first_value | count +------------+-------+-------------+------- + 07-01-2023 | 100 | 07-01-2023 | 4 + 07-02-2023 | 200 | | 0 + 07-03-2023 | 150 | | 0 + 07-04-2023 | 140 | | 0 + 07-05-2023 | 150 | | 0 + 07-06-2023 | 90 | | 0 + 07-07-2023 | 110 | | 0 + 07-01-2023 | 50 | 07-01-2023 | 4 + 07-02-2023 | 2000 | | 0 + 07-03-2023 | 1500 | | 0 + 07-04-2023 | 1400 | | 0 + 07-05-2023 | 1500 | | 0 + 07-06-2023 | 60 | | 0 + 07-07-2023 | 1100 | | 0 +(14 rows) + +-- PREV has multiple column reference +CREATE TEMP TABLE rpr1 (id INTEGER, i SERIAL, j INTEGER); +INSERT INTO rpr1(id, j) SELECT 1, g*2 FROM generate_series(1, 10) AS g; +SELECT id, i, j, count(*) OVER w + FROM rpr1 + WINDOW w AS ( + PARTITION BY id + ORDER BY i + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN (START COND+) + DEFINE + START AS TRUE, + COND AS PREV(i + j + 1) < 10 +); + id | i | j | count +----+----+----+------- + 1 | 1 | 2 | 3 + 1 | 2 | 4 | 0 + 1 | 3 | 6 | 0 + 1 | 4 | 8 | 0 + 1 | 5 | 10 | 0 + 1 | 6 | 12 | 0 + 1 | 7 | 14 | 0 + 1 | 8 | 16 | 0 + 1 | 9 | 18 | 0 + 1 | 10 | 20 | 0 +(10 rows) + +-- Smoke test for larger partitions. +WITH s AS ( + SELECT v, count(*) OVER w AS c + FROM (SELECT generate_series(1, 5000) v) + WINDOW w AS ( + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN ( r+ ) + DEFINE r AS TRUE + ) +) +-- Should be exactly one long match across all rows. +SELECT * FROM s WHERE c > 0; + v | c +---+------ + 1 | 5000 +(1 row) + +WITH s AS ( + SELECT v, count(*) OVER w AS c + FROM (SELECT generate_series(1, 5000) v) + WINDOW w AS ( + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN ( r ) + DEFINE r AS TRUE + ) +) +-- Every row should be its own match. +SELECT count(*) FROM s WHERE c > 0; + count +------- + 5000 +(1 row) + +-- +-- Error cases +-- +-- row pattern definition variable name must not appear more than once +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price), + UP AS price > PREV(price) +); +ERROR: row pattern definition variable name "up" appears more than once in DEFINE clause +LINE 11: UP AS price > PREV(price), + ^ +-- subqueries in DEFINE clause are not supported +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START LOWPRICE) + DEFINE + START AS TRUE, + LOWPRICE AS price < (SELECT 100) +); +ERROR: cannot use subquery in DEFINE expression +LINE 11: LOWPRICE AS price < (SELECT 100) + ^ +-- aggregates in DEFINE clause are not supported +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START LOWPRICE) + DEFINE + START AS TRUE, + LOWPRICE AS price < count(*) +); +ERROR: aggregate functions are not allowed in DEFINE +LINE 11: LOWPRICE AS price < count(*) + ^ +-- FRAME must start at current row when row patttern recognition is used +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); +ERROR: FRAME must start at current row when row patttern recognition is used +-- SEEK is not supported +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + SEEK + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); +ERROR: SEEK is not supported +LINE 8: SEEK + ^ +HINT: Use INITIAL. +-- PREV's argument must have at least 1 column reference +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(1), + DOWN AS price < PREV(1) +); +ERROR: row pattern navigation operation's argument must include at least one column reference diff --git a/src/test/regress/parallel_schedule b/src/test/regress/parallel_schedule index 1edd9e45eb..f5d33b4d7d 100644 --- a/src/test/regress/parallel_schedule +++ b/src/test/regress/parallel_schedule @@ -98,7 +98,7 @@ test: publication subscription # Another group of parallel tests # select_views depends on create_view # ---------- -test: select_views portals_p2 foreign_key cluster dependency guc bitmapops combocid tsearch tsdicts foreign_data window xmlmap functional_deps advisory_lock indirect_toast equivclass +test: select_views portals_p2 foreign_key cluster dependency guc bitmapops combocid tsearch tsdicts foreign_data window xmlmap functional_deps advisory_lock indirect_toast equivclass rpr # ---------- # Another group of parallel tests (JSON related) diff --git a/src/test/regress/sql/rpr.sql b/src/test/regress/sql/rpr.sql new file mode 100644 index 0000000000..a46abe6f0f --- /dev/null +++ b/src/test/regress/sql/rpr.sql @@ -0,0 +1,467 @@ +-- +-- Test for row pattern definition clause +-- + +CREATE TEMP TABLE stock ( + company TEXT, + tdate DATE, + price INTEGER +); +INSERT INTO stock VALUES ('company1', '2023-07-01', 100); +INSERT INTO stock VALUES ('company1', '2023-07-02', 200); +INSERT INTO stock VALUES ('company1', '2023-07-03', 150); +INSERT INTO stock VALUES ('company1', '2023-07-04', 140); +INSERT INTO stock VALUES ('company1', '2023-07-05', 150); +INSERT INTO stock VALUES ('company1', '2023-07-06', 90); +INSERT INTO stock VALUES ('company1', '2023-07-07', 110); +INSERT INTO stock VALUES ('company1', '2023-07-08', 130); +INSERT INTO stock VALUES ('company1', '2023-07-09', 120); +INSERT INTO stock VALUES ('company1', '2023-07-10', 130); +INSERT INTO stock VALUES ('company2', '2023-07-01', 50); +INSERT INTO stock VALUES ('company2', '2023-07-02', 2000); +INSERT INTO stock VALUES ('company2', '2023-07-03', 1500); +INSERT INTO stock VALUES ('company2', '2023-07-04', 1400); +INSERT INTO stock VALUES ('company2', '2023-07-05', 1500); +INSERT INTO stock VALUES ('company2', '2023-07-06', 60); +INSERT INTO stock VALUES ('company2', '2023-07-07', 1100); +INSERT INTO stock VALUES ('company2', '2023-07-08', 1300); +INSERT INTO stock VALUES ('company2', '2023-07-09', 1200); +INSERT INTO stock VALUES ('company2', '2023-07-10', 1300); + +SELECT * FROM stock; + +-- basic test using PREV +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- basic test using PREV. UP appears twice +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+ UP+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- basic test using PREV. Use '*' +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP* DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- basic test with none greedy pattern +SELECT company, tdate, price, count(*) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (A A A) + DEFINE + A AS price >= 140 AND price <= 150 +); + +-- last_value() should remain consistent +SELECT company, tdate, price, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- omit "START" in DEFINE but it is ok because "START AS TRUE" is +-- implicitly defined. per spec. +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w, + nth_value(tdate, 2) OVER w AS nth_second + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- the first row start with less than or equal to 100 +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (LOWPRICE UP+ DOWN+) + DEFINE + LOWPRICE AS price <= 100, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- second row raises 120% +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (LOWPRICE UP+ DOWN+) + DEFINE + LOWPRICE AS price <= 100, + UP AS price > PREV(price) * 1.2, + DOWN AS price < PREV(price) +); + +-- using NEXT +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UPDOWN) + DEFINE + START AS TRUE, + UPDOWN AS price > PREV(price) AND price > NEXT(price) +); + +-- using AFTER MATCH SKIP TO NEXT ROW +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + INITIAL + PATTERN (START UPDOWN) + DEFINE + START AS TRUE, + UPDOWN AS price > PREV(price) AND price > NEXT(price) +); + +-- match everything + +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN (A+) + DEFINE + A AS TRUE +); + +-- backtracking with reclassification of rows +-- using AFTER MATCH SKIP PAST LAST ROW +SELECT company, tdate, price, first_value(tdate) OVER w, last_value(tdate) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN (A+ B+) + DEFINE + A AS price > 100, + B AS price > 100 +); + +-- backtracking with reclassification of rows +-- using AFTER MATCH SKIP TO NEXT ROW +SELECT company, tdate, price, first_value(tdate) OVER w, last_value(tdate) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + INITIAL + PATTERN (A+ B+) + DEFINE + A AS price > 100, + B AS price > 100 +); + +-- ROWS BETWEEN CURRENT ROW AND offset FOLLOWING +SELECT company, tdate, price, first_value(tdate) OVER w, last_value(tdate) OVER w, + count(*) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND 2 FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- +-- Aggregates +-- + +-- using AFTER MATCH SKIP PAST LAST ROW +SELECT company, tdate, price, + first_value(price) OVER w, + last_value(price) OVER w, + max(price) OVER w, + min(price) OVER w, + sum(price) OVER w, + avg(price) OVER w, + count(price) OVER w +FROM stock +WINDOW w AS ( +PARTITION BY company +ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING +AFTER MATCH SKIP PAST LAST ROW +INITIAL +PATTERN (START UP+ DOWN+) +DEFINE +START AS TRUE, +UP AS price > PREV(price), +DOWN AS price < PREV(price) +); + +-- using AFTER MATCH SKIP TO NEXT ROW +SELECT company, tdate, price, + first_value(price) OVER w, + last_value(price) OVER w, + max(price) OVER w, + min(price) OVER w, + sum(price) OVER w, + avg(price) OVER w, + count(price) OVER w +FROM stock +WINDOW w AS ( +PARTITION BY company +ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING +AFTER MATCH SKIP TO NEXT ROW +INITIAL +PATTERN (START UP+ DOWN+) +DEFINE +START AS TRUE, +UP AS price > PREV(price), +DOWN AS price < PREV(price) +); + +-- JOIN case +CREATE TEMP TABLE t1 (i int, v1 int); +CREATE TEMP TABLE t2 (j int, v2 int); +INSERT INTO t1 VALUES(1,10); +INSERT INTO t1 VALUES(1,11); +INSERT INTO t1 VALUES(1,12); +INSERT INTO t2 VALUES(2,10); +INSERT INTO t2 VALUES(2,11); +INSERT INTO t2 VALUES(2,12); + +SELECT * FROM t1, t2 WHERE t1.v1 <= 11 AND t2.v2 <= 11; + +SELECT *, count(*) OVER w FROM t1, t2 +WINDOW w AS ( + PARTITION BY t1.i + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (A) + DEFINE + A AS v1 <= 11 AND v2 <= 11 +); + +-- WITH case +WITH wstock AS ( + SELECT * FROM stock WHERE tdate < '2023-07-08' +) +SELECT tdate, price, +first_value(tdate) OVER w, +count(*) OVER w + FROM wstock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- PREV has multiple column reference +CREATE TEMP TABLE rpr1 (id INTEGER, i SERIAL, j INTEGER); +INSERT INTO rpr1(id, j) SELECT 1, g*2 FROM generate_series(1, 10) AS g; +SELECT id, i, j, count(*) OVER w + FROM rpr1 + WINDOW w AS ( + PARTITION BY id + ORDER BY i + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN (START COND+) + DEFINE + START AS TRUE, + COND AS PREV(i + j + 1) < 10 +); + +-- Smoke test for larger partitions. +WITH s AS ( + SELECT v, count(*) OVER w AS c + FROM (SELECT generate_series(1, 5000) v) + WINDOW w AS ( + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN ( r+ ) + DEFINE r AS TRUE + ) +) +-- Should be exactly one long match across all rows. +SELECT * FROM s WHERE c > 0; + +WITH s AS ( + SELECT v, count(*) OVER w AS c + FROM (SELECT generate_series(1, 5000) v) + WINDOW w AS ( + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP PAST LAST ROW + INITIAL + PATTERN ( r ) + DEFINE r AS TRUE + ) +) +-- Every row should be its own match. +SELECT count(*) FROM s WHERE c > 0; + +-- +-- Error cases +-- + +-- row pattern definition variable name must not appear more than once +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price), + UP AS price > PREV(price) +); + +-- subqueries in DEFINE clause are not supported +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START LOWPRICE) + DEFINE + START AS TRUE, + LOWPRICE AS price < (SELECT 100) +); + +-- aggregates in DEFINE clause are not supported +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START LOWPRICE) + DEFINE + START AS TRUE, + LOWPRICE AS price < count(*) +); + +-- FRAME must start at current row when row patttern recognition is used +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- SEEK is not supported +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + SEEK + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(price), + DOWN AS price < PREV(price) +); + +-- PREV's argument must have at least 1 column reference +SELECT company, tdate, price, first_value(price) OVER w, last_value(price) OVER w + FROM stock + WINDOW w AS ( + PARTITION BY company + ORDER BY tdate + ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING + AFTER MATCH SKIP TO NEXT ROW + INITIAL + PATTERN (START UP+ DOWN+) + DEFINE + START AS TRUE, + UP AS price > PREV(1), + DOWN AS price < PREV(1) +); -- 2.25.1 ----Next_Part(Tue_Dec_31_08_57_07_2024_963)-- Content-Type: Text/X-Patch; charset=us-ascii Content-Transfer-Encoding: 7bit Content-Disposition: inline; filename="v27-0008-Row-pattern-recognition-patch-typedefs.list.patch" ^ permalink raw reply [nested|flat] 2+ messages in thread
end of thread, other threads:[~2024-12-30 23:53 UTC | newest] Thread overview: 2+ messages (download: mbox mbox.gz follow: Atom feed) -- links below jump to the message on this page -- 2020-03-19 06:11 [PATCH v48 5/7] Doc part of shared-memory based stats collector. Kyotaro Horiguchi <[email protected]> 2024-12-30 23:53 [PATCH v27 7/9] Row pattern recognition patch (tests). Tatsuo Ishii <[email protected]>
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