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2.6.3
-- IMPORTANT NOTE: Installing the new C library requires a restart of the database cluster. Even if you are not running 9.6, it is recommended to restart after this update to ensure the latest library file is loaded into the database if you have compiled the C library.
-- Fixed pg_partman background worker to work with PostgreSQL 9.6. If configured for multiple databases in a single cluster, the background worker processes will no longer start up and run in parallel. Unfortunately, changes in background worker code have made that harder to do at this time. Note it never ran in parallel on a single database before, it would only do that for multiple databases. (Github Issue #141).
-- Allow option for millisecond epoch partitioning. (Github Issue #150, Also requested back in #75)
-- The "epoch" parameter to any function and the column in the part_config table has changed from boolean to text and only accepts the values: "seconds", "milliseconds", "none".
-- The default is "none".
-- Any current epoch partition sets will automatically have this value set to "seconds".
2.6.2
-- Refactor of time functions in relation to epoch partitioning to improve maintainability of the code. Much thanks to Michael Rasmussen (Trekoid)! (Github Pull Request #143)
-- Some code cleanup for python scripts. Much thanks to Rodolphe Quiédeville (rodo)! (Github Pull Request #148)
2.6.1
-- WARNING: The pg_partman background worker is currently incompatible with PostgreSQL 9.6. It runs fine in 9.4 and 9.5. I'm still working on trying to figure out what the issue is. If you must upgrade to 9.6 before this issue is fixed, you can disable the background worker by removing the entry for it in shared_preload_libraries and restarting postgres. Instead schedule the run_maintenance() plpgsql function to run via another scheduler method (cron).
-- NOTE: A restart of the database is required to put the background worker code changes in place once the new library file is installed.
-- Add p_analyze parameter to partition_data_id() and partition_data_time() functions to allow moving data out of the parent to be faster if an analyze is not required after each child table is created. If set to false, highly recommended that an analyze on the entire partitions set is run after moving data. (Github Pull Request #137)
-- Also allows better control of automatic analyzing of new partitions for serial partition sets by allowing the p_analyze parameter to run_maintenance() to be passed further down the function call hierarchy.
-- Updated partition_data.py to pass this parameter as FALSE when calling these functions. The script does a VACUUM ANALYZE when it completes all batches anyway, so an analyze per child table is not necessary.
-- Improve performance during privilege inheritance when creating new partitions or when running reapply_privileges() function. Most noticable on databases with many objects (Github Issue #139).
-- Fixed buffer overflow in background worker code if database name was too long (Github Pull Request #140).
-- Fixed bug in background worker code that could cause improper initialization of dynamic bgw processes (Github Pull Request #140).
-- Account for non-lowercase schemename for pg_partman's schema in background worker (Github PullRequest #140).
2.6.0
-- New function to aid in column removal: drop_partition_column().
-- Depending on when a column was added (before or after setting up inheritance for partitioning), dropping it on the parent may or may not drop the column from all children.
-- Using this function will ensure the column is always dropped.
-- Uses IF EXISTS clause to cleanly work even if column is missing from children already. Will give off warnings if column doesn't exist, but not return errors.
-- This function can work for any inheritance set to drop columns, not just those maintained by pg_partman.
-- Issue mentioned in blog post by Andrew Dunstan and also borrowed code from there for this function - http://adpgtech.blogspot.com/2015/07/dropping-columns-on-partitioned-tables.html
-- Added new configuration option to control if the partitioning trigger returns NULL or NEW. Default is to return NULL. See documentation for further use of this option (Github Issue #128 & Pull Request #127).
-- New parameter to create_parent() & create_sub_parent() so be sure to account for that in existing function calls
-- Account for all new config columns when checking subpartition configuration consistency. If you suddenly start getting errors about subpartition configuration mismatches, ensure all sibling subpartition parents are configured exactly the same. See error returned by this check for more details on how to fix this.
-- Added --version option to vacuum_maintenance.py
2.5.1
-- Fix check for ensuring upsert feature can only be used in 9.5 in create_parent() & create_sub_parent(). Was causing erroneous failures with versions prior to 9.5. Thanks to Death_Syn & ilmari on #postgresql freenode for reporting the issue.
2.5.0
-- Added very limited support for INSERT ... ON CONFLICT (upsert) in the partitioning trigger. For situations where only new data is being inserted, this can provide significant performance improvements. However, major limitations are that the constraint violations that would trigger the ON CONFLICT clause only occur on a per child table basis. This is a known limitation for inheritance in general. Constraints DO NOT apply across all tables in an inheritance set (Ex. Primary keys are only enforced for each individual child table and not for all tables in the partition set. Data duplication is possible). The included python script "check_unique_constraint.py" can help mitigate duplication, but cannot prevent it. Of a larger concern is an ON CONFLICT DO UPDATE clause which may not fire and cause wildly inconsistent data if not accounted for. These limitations will likely never be overcome in this extension until global indexes or constraints for inheritance sets are supported in PostgreSQL. It is recommended you test this feature out extensively before implementing in production and monitor it carefully. Many thanks to MikaelUlvesjo for contributing work on this issue (Github Issue #105 & Pull Request #122).
-- Added check to part_config_sub to ensure premake > 0. Makes it consistent with part_config table.
-- Allow internal check_version() function to work with test releases of postgres. If it's an alpha, beta or rc release it ignores the current version, so you're on your own if things fail due to version feature mismatches.
2.4.1
-- Fixed partition_data_id() function to allow intervals larger than a 32-bit integer (bigint) (Github Pull Request #125).
-- Fixed vacuum_maintenance.py to work with timestamptz now that all extension time data types were fixed in v2.4.0
-- Fixed pgtap failure in postgres 9.5 for id subpartitioning test (Github Issue #82).
2.4.0
-- IMPORTANT NOTICE: As of this version (2.4.0) support for the 1.x series has been dropped. No further fixes (bugs, features, etc) will be backported and 1.8.8 will be the last version in the 1.x series. If you encounter a bug, the only supported method of fixing it will be to upgrade to the 2.x series where it may already have been fixed or you can submit an Issue on Github.
-- Change data type of time-based variables in many functions from "timestamp without time zone (timestamp)" to "timestamp with timezone (timestamptz)". Previously there was a mix of both being used and was causing inconsistencies on timezone edge cases. This was also affecting the data type used when creating the constraints on child tables (they may have had improper timezone info). This should allow constraints on child tables to work more consistently whether the partition column is either timestamp or timestamptz (Github Issue #118). Note this will not recreate the constraints on existing child tables, but if you weren't having any issues before, it shouldn't cause any problems. If you need to have the constraints fixed, you can either do it manually for all existing child tables or unpartition and repartition the set again.
-- If you're concerned about this causing issues, you can set the "trigger_exception_handling" configuration option to true which causes any errors encountered when inserting data to child tables to put the data into the parent. Note this will override any other exception handling that uses these tables, but should ensure no data goes missing for normal writes.
-- Allow constraint exclusion to work better with epoch partitioning. Previously the only constraint was based around the time value of the epoch column and constraint exclusion would not work if the integer value was queried. This adds an additional constraint to the child tables so that exclusion should work for both time & integer based queries when epoch partitioning is used.(Github Issue #108).
-- Fixed bug where if any time-custom partitions were set up, their configuration could possibly be used for any time based partition set (Github Pull Request #120).
2.3.4
-- IMPORTANT NOTICE: The next minor version (2.4.0) will officially drop support for the 1.x series. No further fixes (bugs, features, etc) will be backported and 1.8.8 will likely be the last version in the 1.x series. If you encounter a bug, the only supported method of fixing it will be to upgrade to the 2.x series where it may already have been fixed or you can submit an Issue on Github.
-- Properly handle SECURITY DEFINER functions in a safe manner by resetting search_path as recommended in the PG docs (http://www.postgresql.org/docs/current/static/sql-createfunction.html#SQL-CREATEFUNCTION-SECURITY) (Github Pull Request #108).
-- Made the exception handling in the partitioning trigger introduced in v2.3.3 optional. This was causing unexpected behavior whenever an exception was being handled by some other external process when it used a partitioned table. The trigger exception handling would take over and not allow the external process to handle it. New configuration option "trigger_exception_handling" has been added to the part_config (and part_config_sub) table to enable/disable this feature. It has been set to false by default to avoid unexpected default behavior which means any partition sets that had a trigger created by v2.3.3 will have the exception handling removed the next time it is updated. If you'd like to keep this feature, set the config table column to true.
-- Added parameter p_exact_count to check_parent() to allow faster checks for data in parent table. If set to false, will only look for a single row existing in the parent instead of trying to get an exact count which could take a long time if a lot of data is in the parent (Github Pull Request #114).
-- Further optimization to catalog lookups to improve performance on larger databases (Github Issue #107).
2.3.3
-- Fixed bug in partition_data_time() that was causing it to fail with custom time partition sets. This bug was introduced in v2.3.2.
-- New constraint on partman config tables does not allow constraint_cols column to contain the control column. If you get this constraint volation during extension update, please review your part_config (and part_config_sub) table for this condition. You also likely have additional, unnecessary constraints on your child partitions that should be reviewed and removed. (Github Issue #100).
-- Further optimizations for databases with many tables and large partition sets. Thanks to https://github.com/Crack for the contributions here (Github Issue #107).
-- If an error is encountered when the partition trigger is run, pg_partman's trigger function now catches the exception and writes the row to the parent instead of just throwing an error. Reduces chance of losing data when encountering issues. Gives a WARNING in the log when this happens along with the original error that caused the issue. Thanks to David Turon for this suggestion (https://github.com/dturon/pg_partman/blob/lbox-trigger-support/sql/functions/create_function_id.sql#L192).
-- Note this feature will not go into affect immediately upon extension update. It requires recreating the trigger function, which occurs when a new child table is created. You can force this by running create_function_id(parent_table) or create_function_time(parent_table).
2.3.2
-- Fixed issue where additional constraints would not get applied on all older partitions if more than one new partition was made for a single partition set in a single maintenance run. You can fix this by using the reapply_constraints.py script to remove then reapply all additional constraints on older tables. Or if you know the specific children that are missing a constraint, you can run apply_constraints() and pass it the child table argument.
-- Improved performance of create_parent() when p_start_partition is set. Was previously doing a full seq scan of the parent table which could keep it locked longer than intended (Github Pull Reqest #99).
-- New function that returns partition data about a given child name: show_partition_info().
-- Returns start/end values that are contained in a given child table.
-- Can pass an optional interval value to see start/end values that are different than the currently configured interval.
-- Added new options to vacuum_maintenance.py script
-- New --all option tells it to run against all tables managed by pg_partman.
-- New --type option sets whether to run against time or id based partition sets managed by pg_partman.
-- New --interval option tells the script to only run against child tables older than the given interval. See the script's --help for more info on how this works.
-- All these options only work on partition sets managed by pg_partman. If none of these options are set, script still works on non-pg_partman inheritance sets.
-- Disallow weekly partitioning to be a subpartition of anything else. Alignment of ISO weeks does not always match up with larger intervals and can cause constraint conflicts.
-- Also disallow subpartition interval to be equal to or greater than parent.
-- Set part_config_sub & custom_time_partition config tables to dump their contents with pg_dump to ensure all config data is saved.
2.3.1
-- Fixed typo in standalone create_parent.sql file that caused a brand new installation of v2.3.0 to fail (Github Issue #94).
-- Added --noparent option to new vacuum_maintenance.py script to allow parent table to be excluded from the maintenance run.
-- Added vacuum_maintenance.py script to documentation.
2.3.0
-- New migration documentation (doc/migration.md) to provide assistance changing an existing partition set to be used by pg_partman. Note that pg_partman does not support having child table names that do not comply with its naming convention.
-- Added new configuration option to configuration table for time-based partitioning: infinite_time_partitions (Github Pull Request 84)
-- By default, if no new data is being inserted, no new partitions are created. This keeps pg_partman from creating new, empty tables infinitely when data insertion has stopped.
-- Setting this value to true in part_config or part_config_sub will tell pg_partman to continue making partitions forever with time-based partitioning, even if there's no new data
-- Note that serial/id partition is not affected by this and will only make new partitions if new data is being inserted.
-- Implemented the clustering work done in fork by https://github.com/dturon/pg_partman
-- If a parent table is set to cluster on a specific index, that clustering property will be inherited to all children.
-- This does NOT actually cluster the table data, it only inherits the cluster property so that if/when CLUSTER is run on the partition set, it will use a default.
-- Note that FILLFACTOR is not inherited at this time, so adjust your re-cluster schedule accordingly.
-- Optimized catalog lookups throughout many functions to improve performance on databases with many tables (Github Issue 87).
-- For custom time partition sets, their trigger function has had this optimization applied (normal time & id did not have this issue). The next time a child partition is created, the new function will be put in place. If you need it immediately, run: create_function_time('parent_table').
-- Changed the "optimize_constraints" config option to calculate the "old" partition based on what the current partition is instead of the data contained in the partition set. For time series with the new infinite option above set, this means the "current" partition is always moving forward despite no new data. This returns it to the behaviour it had before v2.2.0. The reapply_constraints.py script had not been updated properly to account for the new config option and was not calculating the "old" tables properly at all (it was looking for tables much further in the past than intended) (Github Issue #89).
-- New python script to provide additional VACUUM maintenance to help avoid needless vacuums and transaction id wraparound issues: vacuum_maintenance.py
-- The script checks the age(relfrozenid) value of all tables in a partition set (parent & children) and runs a VACUUM on them if they are higher than vacuum_freeze_min_age.
-- Passing the --freeze option will run a VACUUM FREEZE on all tables in a set that match the above criteria.
-- Passing the --full option does the same as above, but runs VACUUM FULL instead. Note this will lock all tables it is vacuuming, possibly even the parent, so review the --dryrun list before running it.
-- An explanation for the necessity of using this script is far beyond what can be written in a CHANGELOG or the script help itself. Google is your friend. Basically if you have old, static child tables that will never be dropped, it is highly recommend you run this occasionally with the --freeze option to avoid future database maintenance issues.
-- Pulled in bugfix for using the intarray contrib extension in conjunction with constraint management (Github Pull Request #88).
-- Pulled in bugfix for using bigint instead of int type for variable in apply_constraints() (Github Pull Request #90).
-- Fixed bug that may have caused serial trigger function to not contain all optimized child table conditions. No write failures would have occurred, just slower than expected performance.
-- Fixed bug in partition_data.py & undo_partition.py that would cause either to throw an error and then not reset autovacuum if script was interrupted (Ctrl+C) (Github Issue #92).
-- They also now properly handle SIGTERM to reset autovac as well.
-- Note that disabling/enabling autovac now requires an extra available connection to the database.
2.2.3
-- Fixed bug in partition_data_time() that would cause an infinite loop when moving data would require creating a new partition newer than the newest one. This would only occur when using a custom time interval. Infinite loop would also occur when using the partition_data.py python script (Github Issue #83).
-- Properly handle the special PUBLIC role when granting/revoking privileges on child tables (Github Issue #66).
-- Fixed python exception in reapply_indexes.py if the parent table has no indexes (Github Issue #86).
-- Fixed all undo_partition functions to remove the child table in the same batch session when its rowcount reaches zero. Previously an extra batch may have been required to remove all child tables and remove config information after the last row was moved to the parent.
-- Fixed undo_partition functions to be more strict on the triggers they drop and ensure they only drop the trigger on the target parent table.
-- Fixed undo_partition() to properly remove entries from the custom_time_partitions config table if necessary. Also greatly simplified code in this function.
-- Consolidated privilege management into new apply_privileges() internal function.
-- Improved performance when applying parent privileges to child tables. Most noticable on larger partition sets with many grants. (Github Issue #78)
-- Added a sort to the Makefile when creating the sql extension file. Allows more predictable output between builds (Github Push Request #16 from Mimeo extension).
2.2.2
-- Fixed infinite loop in reapply_indexes.py if the same index name would have been used more than once. Thanks to bougyman for tha bug report.
-- Fixed indexes being applied to the parent table instead of the children in reapply_indexes.py (Github Push Request #73).
2.2.1
-- Fixed search path bug with run_maintenance() introduced in v2.2.0. Was causing errors if the pg_partman schema was not in the search path of the role calling it. (Github Issue #71)
2.2.0
-- Added new optimization & constraint configuration options to part_config & part_config_sub (optimize_trigger, optimize_constraint) (Github Issue #62)
-- The premake config value now only controls what its name suggests (the number of future partitions to premake)
-- For existing partition sets, the values for these columns will be set equal to the current premake value
-- Default value for optimize_trigger is same as default for premake (4)
-- Default value for optimize_constraint is 30 (30 days, 30 months, etc)
-- Not added as parameters to create_parent() or create_sub_parent()
--These can be changed later and normal maintenance will take care of updating the current partition set to match.
-- Time epoch partitioning is now possible (Github Issue #44)
-- Control column can be an integer type but trigger, partition constraints and partition names will be based on a time interval.
-- New boolean parameter to the create_parent()/create_sub_parent() functions. Ensure all of your current calls to this function account for it!
-- Fixed bug introduced in v2.1.0 that caused run_maintenance() to not catch up if partition creation fell behind. (Github Issue #67)
-- The fix for this issue also introduces new (improved) behavior for time-based partition maintenance.
-- Previously, the premade tables were determined by the current time at the time maintenance ran.
-- It is now instead based off of the maximum value in the partition set.
-- This is essentially the same behavior that serial partitioning has always had.
-- This means that if no new data is being inserted, once the premake value is met, no new partitions will be made. Previously they would be created no matter what, indefinitely.
-- Resumption of data insertion after a large gap in data and maintenance runs may cause data to go into the parent until run_maintenance() is called again.
-- New data should then go to new children, but data will then have to be cleaned out of the parent.
-- This also means partitioning should work more predictably if data with a future timestamp is inserted. Previously this was not accounted for and could cause maintenance to work inconsistently.
-- KNOWN BUGS: If you insert "future" data in a time-based, sub-partitioned set, maintenance may skip child tables in some partition sets depending how that data relates to the subpartition interval.
-- Working on a fix for this, but didn't want to hold this release up anymore. To work around this,
-- Increase the premake and/or optimize_trigger values appropriately to account for your normal data insertion window.
-- Monitor for data going into parent tables and fix that as documented.
-- Fixed bug in show_partitions() when used against a quarterly partitioned set. Wouldn't return all tables in expected order.
-- Fixed bugs in reapply_constraints.py instroduced in v2.1.0 that prevented it from running. Increased minimum version requirement of pg_partman to 2.2.0.
-- Made creation of additional column constraints more efficient (if used) and less spammy in the run_maintenance() jobmon logs.
-- Added debug option to run_maintenance().
-- Fixed bug introduced in 2.1.0 that wasn't setting the retention config columns in part_config properly for multi-level subpartitions
-- You may encounter an error during maintenance or during the upgrade related to inconsistent data in the part_config_sub table. There was a constraint in place before that tried to prevent this happening, but it was not doing it properly. There is now a new function in place that is part of routine maintenance that checks for this consistency. This checks to ensure that all sub-partition parents in part_config_sub that are themselves part of a sub-partition set have the same configuration values. You can run the function "check_subpart_sameconfig('parent_table')" for all sub-partitioned table sets to see which ones have inconsistent data. The function should only return a single row. If more than one row is returned then just update the config entries that are mismatched and this should clear the error. If you're still having problems, please open an Issue on Github with the error you receive and the full contents of your part_config & part_config_sub tables.
-- If you encounter the error during the upgrade, run the query found in the 2.1.0 -> 2.2.0 upgrade file comments at the top using the parent table returned in the error for <<<schema.table>>> and setting <<<partman_schema>>> to the schema you installed pg_partman to. Only a single row should be returned. If not then fix the mismatched data.
2.1.0
-- Object names (tables, roles, etc) with special characters & mixed case are now supported.
-- Fixed bug in apply_foreign_keys() that was causing it to fail if there were multiple FKs to the same foreign column. Also fixed a bug that allowed the child name parameter to not be passed and didn't handle it if it wasn't. Thanks to Andrew Dunstan for the bug fix and tremendously simplified code. Backpatched to 1.8.8. (Github Issue #64).
-- Ensure trigger function is recreated if a partition is dropped as part of retention. This makes sure the tables explicitily listed actually exist. Backpatched to 1.8.8 (Github Issue #62).
-- Fixed bug in check_unique_constraint.py to properly inspect all data from an entire inheritance tree. If you were using this before to check for duplicates across children in an inheritance set, it is highly recommended you run it again as it may not have caught all dupes.
-- New function 'show_partition_name()' can tell you the child table name that a given value would exist in given a parent table that pg_partman manages. The name will always be returned whether the child table exists or not. Another boolean column is returned that tells you whether the child table actually does exist. It also returns the raw value (timestamp or integer) for the suffix of the returned partition name (used internally, but could be useful elsewhere too). Thanks to Corey Huinker for idea & assistance.
-- show_partitions() function now returns the schema and table name as two separate fields.
-- New column in part_config to denote when a sub-partition set has had its final child partition made (sub_partition_set_full). Allows run_maintenance() to skip over it and run more efficiently when managing many sub-partition sets.
-- Updated all python scripts to handle mixed-case & special characters.
-- Bumped all minimum pg_partman version requirements for python scripts to 2.0.0. May still work on the older versions, but not officially supported or guaranteed anymore.
-- New --nonpartman option to the reapply_indexes.py and reapply_foreign_keys.py scripts to allow them to work better with partition sets not managed by pg_partman and to allow those that are to work more efficiently.
-- Greatly reduced number of individual pg_jobmon jobs generated. Steps such as creating partition functions, applying foreign keys, and applying additional constraints have been combined into the job log entries for creating partitions or general maintenance when applicable.
-- Internal function check_name_length() no longer takes a schemaname argument, nor returns the schema as part of the modified object name.
-- Simplified internal code for handling time suffix name generation
-- Much more extensive pgTAP testing suites to handle more edge cases
-- NOTE: If you are running version 1.8.7 and need to update to 1.8.8 do the following steps:
-- Download the latest version as normal.
-- Copy the file "updates/pg_partman--1.8.7--1.8.8.sql" to the folder where your extension SQL files are kept (depends on your OS or where you manually installed postgres).
-- If you're running from less than 1.8.7, copy whichever prior update files you need to get from your version to 1.8.8. They are all kept in the updates folder.
-- While logged into postgres run: ALTER EXTENSION pg_partman UPDATE TO '1.8.8';
-- The version number at the end of the above command is important. Otherwise it may try and update you to the latest 2.x version if you copied more update files then necessary or ran "make install".
2.0.0
-- IMPORTANT NOTE: This version, and all future versions of pg_partman >= 2.0.0, are only compatible with PostgreSQL 9.4 and greater.
-- I do not have any current plans for development on the v1.x.x branch anymore. Reported bugs will be fixed, but all development will only be on the 2.x.x from here on out. Bug fixes will also only be done while versions of PostgreSQL older than 9.4 are themselves officially supported. If a bug only exists in an unsupported version of PostgreSQL, it WILL NOT be fixed. And once PostgreSQL 9.3 goes EOL, the 1.8 series will be deprecated entirely.
-- No new features, API changes, configuration options or major internal structure changes will be accepted for the 1.x.x series. These will be locked to the 1.8.x series. No future 1.x.x versions after 1.8.7 will be able to be installed directly. You will have to install 1.8.7 (tagged version releases are available on github) and then install the updates found in the "updates" folder of later versions to get to the latest 1.x.x version. I unfortunately don't have time to be maintaining two independent branches with the way extension versions work now in PostgreSQL. Even fixing bugs in the 1.8.x series will be troublesome since I then have to redo every 1.8.x -> 2.x.x update file every time to ensure all fixes are applied no matter the upgrade path. This will unfortunately break managing the 1.x.x series via PGXN. I'm sorry but I don't see any other way around this with the way extension versions are managed right now. I highly recommend updating your database to 9.4+ if you wish to easily maintain this extension going forward. There's tons of other great new features and performance improvements, so it's definitely worth the effort!
-- A background worker process (BGW) has been added to pg_partman for general partition maintenance.
-- A separate scheduler is no longer required in most cases if you compile pg_partman with the background worker option.
-- New postgresql.conf configuration options are listed in the documentation. You must at minimum give the database names you want the BGW to run for. The rest have defaults if not set. Only a reload is required to change values once the database is started with the BGW running.
-- The BGW can only be started at cluster start. This may change later, but it is done this way for initial simplicity and with future design ideas in mind.
-- There are no longer distinct "static" and "dynamic" partitioning modes. The features of each mode have been combined into a single trigger format.
-- All triggers now have the static INSERT statements for the premake window first followed by a fallback, dynamic option to insert to the child table if it exists.
-- Whenever the next child partition is created for a partition set, its function will automatically be updated to the new version. If you'd like to update all partition sets immediately, see the code following these release notes in the update file. I cannot make this automatically part of the update because doing so would cause all the new trigger functions that are created to be part of the extension. After updating, all old "static" sets will still work as they did before, but will have an additional fallback case to handle inserts to child tables outside the current premake value if the child table exists. All old "dynamic" sets will now have the "static" conditions added before the dynamic portion and you should see a performance improvement for any data inserted within the premake window. As before, any data that is inserted that has no associated child table will go to the parent.
-- The "time-custom" partition type still exists and has not changed for those that need an interval other than the predefined ones. It still uses a lookup table and sacrifices performance for flexibility.
-- Eliminated nearly half of the existing pgtap tests due to this change (but added some new ones).
-- See my blog post for the explanation of what "static" and "dynamic" meant. http://www.keithf4.com/postgresql-partition-manager
-- If retention system is turned on, jobmon no longer logs entries if no retention work was actually done. Would previously just log that zero tables were dropped. If anything is dropped/uninherited, it will be logged as expected.
-- Changed column "type" in part_config to "partition_type". "type" is a reserved word, but not currently strictly enforced (doesn't require double-quoting). This avoids any possible future issues. Also changed sub_type in part_config_sub to "sub_partition_type" for consistency
-- Changed column "part_interval" in part_config & part_config_sub to "partition_interval" to be more consistent with above renamed column.
-- Now uses new, more extensive GET STACKED DIAGNOSTIC feature added in 9.2 to provide more detailed errors when an exception is encountered. Previously when functions called other functions and a custom exception block was used, only the latest function called would report the error. Now a more full stack trace is available to see the original function that caused the error.
-- Thanks to https://github.com/IMSoP for the extensive documentation formatting improvements.
1.8.7
-- This update has no core code changes. It is being released to give users that ran into a situation where the trigger functions for serial partition sets called a function that was renamed. In v1.8.0 create_id_partition() was renamed to create_partition_id(). All core code was updated to use this new function, but any existing trigger function from previous versions may have the old function name in the code that creates new partitions when the current one reaches 50% of the max.
-- The code block contained in "updates/pg_partman-1.8.6--1.8.7.sql" will go through and recreate all the trigger functions on all partition sets managed by pg_partman. This should fix the issue described above. While only serial partition sets should have been affected, the code below does it for both time & id to just ensure everything is fixed.
-- This code MUST must be run manually because if the trigger functions are recreated as part of an extension update, then those trigger functions become members of the pg_partman extension itself. Just copy-n-paste it into psql and things should be good to go.
-- Thanks to Jan Lentfer for finding this bug during v2.0.0 testing.
1.8.6
-- Fixed bug with run_maintenance() and subpartitioning. If you had any subpartitioned sets that went back a significant amount of time, or had a significant number of subpartitions, calls to run_maintenance() would seem to hang. It would finish eventually, but could take quite a long time and if you have pg_jobmon installed, would also cause many entries mentioning old partiton sets. This bug was introduced with the fixed included in v1.8.5.
1.8.5
-- If run_maintenance() had not been called for a while outside of a partition set's interval, running it again was not creating the necessary child partitions to catch up. Recovery from this scenario was possible if the latest partition was manually created. This update fixes the problem and if you have a partition set that was not catching up before, running it with this version installed should fix things with no further manual intervention. This bug was introduced with version 1.8.0. (Github Issue #56).
1.8.4
-- When inheriting foreign keys to children, also account for the following additional options:
-- MATCH FULL/PARTIAL/SIMPLE
-- ON UPDATE/DELETE NO ACTION/RESTRICT/CASCADE/SET NULL/SET DEFAULT
-- DEFERRABLE / NOT DEFERRABLE
-- INITIALLY IMMEDIATE / INITIALLY DEFERRED , when it is DEFERRABLE, MATCH, & CASCADE actions.
-- Note that none of the above properties were being inherited to child tables before. If you need to reapply foreign keys on children to enforce these options, see the reapply_foreign_keys.py python script or apply_foreign_keys() plpgsql function. The script is the preferred method to avoid contentions.
-- reapply_foreign_keys.py claimed it could work on partition sets not managed by pg_partman, but that wasn't true. Removed dependency on show_partitions() function, so now that is true.
1.8.3
-- Fix both the retention system and the undo partitioning functions/scripts not cleaning up the custom_time_partitions table when using a custom time interval (Github Issue #49).
-- When using sub-partitioning, the call to create_parent() that is within create_partition_id() & create_partition_time() was passing 2 of the parameters through incorrectly. p_use_run_maintenance was being fed to p_inherit_fk and vice versa, so the inherit_fk and use_run_maintenance columns in part_config & part_config_sub may be reversed. Since these are both boolean parameters, no error was being raised. If you've used sub-partitioning and used anything other than the default values for either of these configuration options, please double-check the part_config & part_config_sub tables to ensure the proper values are there. If you did not set them specifically, the default values were set for both and things should be fine.
-- If p_use_run_maintenance was set wrong, you likely noticed that new partitons were not getting created for new sub-partition sets. You'll still have to fix any existing config settings, but future ones shoould be fine now.
-- If p_inherit_fk was set wrong, child tables were likely not inheriting FKs or they were inheriting them when you didn't want them to. Again, fix this for existing partition sets by correcting the config table and all future sub-partitions should now be set properly. If you need to generate FKs on child tables that were missing them, you can use the reapply_foreign_keys.py script.
1.8.2
-- Fixed a bug in sub-partitioning that would cause child tables outside of the time boundaries of the parent partitions to be created when using time->time sub-partitioning. A user encountered the error when doing weekly->daily subpartitioning, but it was possible it could have happened in other interval combinations I had not tested as well (Github Issue #47).
-- Updated reapply_indexes.py script to, by default, only add new indexes and drop ones that don't exist on the parent. Previously it would drop all indexes on all children and recreate them to match the parent. Now it only does the minimal amount of work to make the children match the parent. An additional option (--recreate_all/-R) was added to allow the old behavior of redoing all indexes from scratch if desired (Github Issue #41)
-- Changed the minimal interval that serial partitioning can be done to 10. Ran into issues with an interval of 2 and partitioning anything this low is unrealistic and provides no benefit. 10 seems like a reasonable minimal to have at this point to avoid any future issues. This does not affect any existing partition sets, only newly created ones (Github Issue #39).
-- Serial partition maintenance when using run_maintenance() is now much more efficient. Should run significantly faster for very large partition sets.
-- Fixed bug in subpartition creation when using "time-custom" partitioning type. May have created subpartition child tables that were outside the time boundaries of the parent partitions.
-- Fixed bug in additional constraint management when using "time-custom" partitioning type. May not have always added additional constraints on old child tables.
-- Added constraint on part_config_sub to ensure valid partition types.
1.8.1
-- The p_analyze parameter to the apply_constraint() function is now FALSE by default instead of TRUE. This makes it so that by default, an analyze is only run by the create_partition_id/time() functions upon new partition creation. The parameter was left in apply_contraints() in case someone needs to call it directly and ensure an analyze is run so statistics are updated. (Github Issue #45)
-- Note: If using reapply_constraints.py, an ANALYZE is always done at the end of the script. It was like that before this update.
-- Changed the manner in which new partition creation is logged in pg_jobmon. Previously, each individual child table creation was logged as its own, separate job entry in pg_jobmon. Now, if multiple child partitions are created for a single partition set, all those child tables are logged as steps for a single job log entry. This now allows the analyze step (if it is done) to be logged as well in pg_jobmon and allows for easier diagnosis if this if holding up partition maintenance.
1.8.0
-- PG Partman now supports sub-partitioning. This allows automatic configuration to turn the child tables of an existing partition set into parent tables of their own partition sets. (Github Issue #26)
-- New function "create_sub_parent()" works exactly like "create_parent()", even taking similar parameters. Instead, the parent_table you're giving it as a parameter is telling it which parent's child tables to partition and how to partition them.
-- This can be chained down as many levels as desired. Just recall the 63 character limit on object names since this will be adding a new partition suffix every level down. The final suffix is always guarenteed to be added on in full, but the parent suffix name may get truncated off.
-- Due to logical complexity (and possible contention issues at larger data sizes), when using subpartitioning, all parent tables at all partition levels are set to use run_maintenance() by default. This includes serial partitioning which normally by default can use a trigger based method to create future partitions. You can still set it to false so you can force maintenance to run at specific times (see new run_maintenance() feature below), but you MUST force it to run at some point otherwise new partitions will never be made.
-- Note that there will ALWAYS be at least one child partition created, even for subpartition parents that are outside the current trigger range. Data outside the currently covered trigger range will still be inserted the the relevant parent.
-- Note that for retention policies, whatever retention period is set on the highest level will be honored and ALL child tables will be dropped, cascading all the way down to the bottom. Use this option even more carefully!
-- New parent table name parameter to run_maintenance(). If set, skips all other tables for that maintenance run and only does the one given. (Github Issue #32)
-- This is an optional parameter, so should not affect any existing use of the function. When not given, maintenance is run for all partition sets set to use it in the part_config table.
-- The already existing configuration option in part_config (use_run_maintenance) can be used to tell run_maintenance() to skip any partition sets for which you do not want it to run when no table name parameter is given. You can then schedule partition maintenance for specific tables to run at specific times using the new argument to run_maintenance(). Note that if a parent table argument is explicitely given to run_maintenance, it will always run the maintenance for it no matter what the configuration table has set.
-- Note that when a table argument is given to run_maintenance(), retention settings will only be run for that one specific table given (if configured).
-- Be aware that the "use_run_maintenance" configuration option is always set to true for time-based partitioning & subpartition sets and set false for serial based partitioning (when not subpartitioned) when calling create_parent() or create_sub_parent(). Adjust this configuration setting accordingly so run_maintenance() does what you require after you create your partition sets.
-- The trigger constraint on the **part_config** table that would not allow "use_run_maintenance" to be set to false for time based partitioning has been removed.
-- New analyze parameter to run_maintenance().
-- Defaults to true so that if any partition set has a new child table created, an analyze is run on that whole partition set. This is to ensure constraint exclusion works properly.
-- Large partition sets were causing run_maintenance() to take a long time to run since the analyze would hold it up. This could cause some contention.
-- Setting p_analyze to false will cause the analyze to not run for ALL partition sets that are eligible for new partiton creation or retention management at the time it is called.
-- If you set this to false, it is advised that you have some other means to ensure a regular analyze is being run on your partition sets.
-- NOTE this parameter is set as the second argument since it's likely to be more commonly used, so make sure to check any current run_maintenence() calls to account for this (previously p_jobmon was the second parameter).
-- Analyze is no longer automatically run on the parent table after create_parent() is run. Since create_parent() takes an exclusive lock on the parent table during setup, tables that already had a lot of existing data where being locked for the length of the analyze run, which could be quite long. When data is partitioned out later, analyze is automatically run. Also, whenever new partitions are created in the future, an analyze will be run as well (if the p_analyze argument to run_maintenance() is true which it is by default). Both those cases should take care of updating the planner statistics when it begins to matter. Run an analyze on the parent table after setup if you want to be sure.
-- Fixed bug in show_partitions() that caused an error when the values in the control column of a serial partition set were larger than the max int value. This would also cause errors when partitioning existing data with values that high since the partitioning functions use show_partitions() internally. (Reported by S. Kristensen)
-- create_parent() and new create_sub_parent() now return a boolean value to determine whether they succeeded.
-- For all pythons scripts, changed the --connection default to "host=" instead of "host=localhost". This makes the default connection to the database use the local socket instead of TCP. Makes it act more predictibly like all other postgres executables (psql, pg_dump, etc). Please check any that you many have scheduled to run to ensure they are still working properly.
-- Added a --version argument to all python scripts. This tells you the minimum version of pg_partman this script is meant to work with.
-- Made sure all scripts in bin folder are added to Makefile for installation.
-- Make sure autovacuum is reset if SIGINT (Ctrl+C) is fired when using partition_data.py or undo_partition.py.
-- Added howto.md file to doc folder with some more extensive examples.
-- last_partition column in part_config table no longer in use. Dropped it.
-- Renamed internal functions create_id_partition(), create_id_function(), create_time_partition() & create_time_function() to create_partition_id(), create_function_id(), create_partition_time() & create_function_time() respectively. This gives all functions a consistent naming pattern.
1.7.2
-- Fixed bug in apply_foreign_keys() where new partition creation would fail when the partition set's schema is in the current search_path. Most commonly happened when partition sets with foreign keys were in public, but any schema in current search_path would cause this to manifest. Reported by Isaías Sánchez via my blog. (Github Issue #27)
-- Foreign key inheritance is now optional since more complex FK relationships may not work ideally with pg_partman's default method. New configuration option in part_config table and parameter to create_parent().
1.7.1
-- Foreign keys placed on the parent table are now inherited to child tables.
-- Any new partitions created after this update is installed will have the FKs applied to children.
-- Existing child partitions will not have FKs applied. See the reapply_foreign_keys.py python script to reapply FKs to all child tables.
-- The new apply_foreign_keys() function & reapply_foreign_keys.py script can be applied to any table inheritance set, not just the ones managed by pg_partman.
-- See blog post for some more information about partitioning & foreign keys - http://www.keithf4.com/table-partitioning-and-foreign-keys
-- Unlogged table property on parent table is now automatically inherited to child tables. Note this only applies to newly created child partitions after this update is installed.
-- Added lockwait options to the undo partition functions (plpgsql & python)
-- Added the same autovacuum feature & option to undo_partition.py that partition_data.py has.
-- Made python scripts compatible with python 3
-- PgTAP tests for unlogged tables and FK inheritance
1.7.0
-- New configuration option to allow serial partitioning to use run_maintenance() instead of creating next partition via trigger.
-- Use "p_use_run_maintenance" argument to create_parent() to set this during partition creation.
-- part_config table has new boolean column "use_run_maintenance"
-- Serial/ID based partitoning defaults to FALSE. This means serial partitioning uses the parent partition trigger function to make new child partitions when the current one reaches 50% of its configured capacity (the same way it used to work). If set to TRUE, then you must schedule run_maintenance() to run often enough to keep up with your insertion rate. Otherwise rows will get inserted to the parent table.
-- Time based partitioning defaults to TRUE and config values for using run_maintenance cannot be set to false. All time-based partitioning still requires run_maintenance() for creating new child tables.
-- Existing partition sets have their config table values set to the defaults above.
-- If you'd like to change an existing serial partition set to use run_maintenance instead of the trigger, update the "use_run_maintenance" column in part_config to set it to TRUE for that parent table. You must then run the "create_id_function()" function giving it a parameter of the schema qualified parent table of the set. This will remove the code in the trigger that automatically makes new child tables.
-- Ex: SELECT partman.create_id_function('parent_schema.parent_table');
-- reapply_indexes.py can now handle too long or duplicate index names. Please see docs for how this is handled since it can change index naming patterns (Github Issue #21).
-- Fixed partition_data_id() & partition_data_time() to properly return the number of rows moved when the parent table is empty before the batch limit is reached (Github Issue #22).
-- Fixed creation of new child partition tables not working when parent tables had OIDs turned on. (Github Issue #20)
-- Fixed check_unique_constraint.py to avoid index scans and check underlying table data. Option added to try and allow index scans if desired.
-- Fixed reapply_constraints.py & reapply_indexes.py to properly run jobs in parallel.
-- Ensure an analyze is run on parent table of a set after any child table is created so that constraint exclusion works properly for all child tables.
-- Ensure an analyze is run on a child table whenever additional column constraints are automatically added. Also analyze partition set if reapply_constraints.py is run.
-- Added pgtap tests that ensure the partitioning functions are returning the proper number of rows.
-- Added pgtap tests for new features in reapply_index.py
1.6.1
-- The python partitioning script now turns off autovacuum on the entire partition set while it is running. This should help reduce load since it will prevent the autovacuum daemon from kicking off while data is being migrated. When the script is done running, the default value for autovacuum is restored to all tables in the partition set. Also, VACUUM ANALYZE is run on the parent table when all data has finished moving as well. There is an option to disable the turning off of autovacuum if the ALTER TABLE statements are causing more contention and issues than the autovacuum. There is no option for turning off autovacuum when using the plpgsql partitioning functions (inability to COMMIT within function loop would cause too much contention).
-- The order that data is migrated from the parent to the children can now be determined via an option to the partition_data_id/time() functions or the python script. The default is the way it originally moved data (ascending order). Thanks for bougyman from #postgresql on freenode for this idea.
-- Removed plpgsql function "check_unique_column()" and created python script "check_unique_constraint.py". This runs far more efficiently and causes less contention within the database while checking if a unique constraint is consistent across all child tables. Also now supports checking multi-column constraints. See doc file for more info on script options.
-- Fixed syntax error in create_parent(), create_id_function() exception blocks. Reported by bougyman.
-- Added pgtap tests for additional constraints feature.
1.6.0
-- A new partitioning type has been added to allow setting almost any desired time interval (time-custom). The smallest interval supported is 1 second and the upper limit is bounded by the minimum and maximum timestamp values that PostgreSQL supports (http://www.postgresql.org/docs/current/static/datatype-datetime.html). This feature uses the range data type for internal configuration management, so it is only supported in PostgreSQL 9.2+.
-- The custom time interval is less efficient than both time-static and time-dynamic since it must use a lookup table. If your needed partitioning interval can fit in one of the pre-made intervals given in the documentation, it is highly recommended to use one of those for better performance. time-static is still the best method when performance of inserts is important. See the documentation for more details on this new partitioning type.
-- New parameter to create_parent() that sets what the first partition in the set will be (p_start_partition).
-- Must be a valid timestamp (for time-based) or positive integer (for id-based) value. Be aware, though, the actual paramater data type is text.
-- For time-based partitioning, all partitions starting with the given timestamp up to CURRENT_TIMESTAMP (plus premake) will be created.
-- For id-based partitioning, only the partition starting at the given value (plus premake) will be made.
-- pg_jobmon is now truly optional. Additonal configuration option for each individual partition set to turn it off and on. run_maintenance() now has an optional parameter to turn it off when being run. If you tried to partition pg_jobmon tables before, it would cause a permanent lockwait. Turn pg_jobmon off for those tables to avoid this.
-- Fixed partition_data_time() & partition_data_id() functions to recreate the parent trigger function when static partitioning is used. Without this, partitioning more recent data that may have gotten into the parent table could possibly leave the function without conditions for the new partitions. run_maintenance() would eventually fix this for time partitioning, but id partitioning could be left in a broken state forever. (Github issue #16)
-- Fixed bug in partition_data_time() & partition_data_id() to reset the lock wait counter properly between loops. Bug reported & fixed by bougyman from #postgresql on Freenode.
-- pg_partman only supports id intervals greater than 1. May see if I can get an interval of 1 working later, but changed create_parent() to check for this and not allow it since it won't work properly at this time. New partitions were not automatically created if interval was set to 1. (Github issue #15)
-- Clarify in docs that the id interval value passed to create_parent() must actually be in text type format.
-- Changed drop & undo partition functions to use transaction based advistory locks.
-- Removed need for internally used function create_next_time_partition() and therefore dropped the function.
-- Simplified the create_time_partition() & create_id_partition() parameter lists.
1.5.1
-- Fix create_parent() to actually insert the contraint_cols value passed into the function to the config table when using time based partitioning. Thanks to Jeff Amiel for reporting the issue.
1.5.0
-- New functions that can manage additional constraints on child tables older than premake value based on what their min/max values are. This allows constraint exclusion to become usable on columns other than the partitioning column. However, this is only useful if older tables are no longer editing the columns that will have constraints placed on them, otherwise you risk constraint violations. See blog post for a more thorough explanation and examples: http://www.keithf4.com/managing-constraint-exclusion-in-table-partitioning
-- New python script for using above functions to drop/apply constraints on an entire partition set without causing excessive lock issues.
-- show_partitions() function is now guarenteed to return a list of partitions in the order that makes sense for the partition type/interval for the set. Additional option to specify ascending or descending order (defaults to ascending).
-- Check for valid parameter values in partition creation function (github issue #14 from Josh Berkus)
-- Added drop index concurrently option (--drop_concurrently) to reapply_indexes.py script. Only works for 9.2+
-- Changed run_maintenance() to use advisory transaction lock instead of session level lock.
-- Fixed missing library import in python scripts.
-- Organized docmentation of functions.
1.4.5
-- Fixed bug in reapply_indexes.py script that could cause all new indexes to be added to the parent instead of the children. This was happening if the parent table's schema was in the search_path of the role that the script uses to connect to the database.
-- Removed any unneeded library imports in all python scripts.
-- Moved python scripts from "extras" folder to "bin" folder. Now that they're actually getting installed as part of "make install" they're not really extras anymore.
1.4.4
-- Bug fix: Typos in partition_time_data/id() functions. Only ran into this if a lockwait was hit while trying to partition data.
1.4.3
-- Fix "make install" to work in PostgreSQL 9.3.x without throwing an error.
-- "make install" now installs the python script files to <postgresql_install_prefix>/bin. They are now also executable and have the proper #! line at the top.
-- Updated the rest of the python scripts to use argparse library for options (thanks to Josh Berkus for the assistance on this).
-- Some of the command line options have changed for the scripts. See the --help for each script to ensure you are using the correct parameters.
1.4.2
-- Added lockwait functionality to background data partitioning, including partition_data_id, partition_data_time, and partition_data.py (Thanks to Josh Berkus for this feature).
1.4.1
-- Assign child partitions to the tablespace of the parent. This will only apply to newly created partitions after this update is installed. To fix existing partitions, you will have to manually alter the child tables. Thanks to https://github.com/joelhoffman for the fix.
1.4.0
-- Updated creation of child partition, function & trigger names to take into account the max object length an object can have to guarentee the partition suffix. Involved extensive rewrite of many core functions.
-- WARNING: If your table names were already long enough to be causing name truncation (over 63 characters), you may get duplicate child tables, functions & triggers created. Please check your object name lengths on your partition sets before installing this update to see if you may be affected by this edge case and its subsequent fix.
-- New python script (reapply-indexes.py) to re-apply indexes to child tables when they have changed on the parent. See docs for more info.
-- New function to check the uniqueness of a column in a partition set (check_unique_column()). Helps to overcome the inability of a unique constraint to be applied efficiently across all partitions in a set. Does not prevent a unique violation, but provides a method to monitor for it happening.
-- More pgTAP tests to ensure name trunucation process is working.
-- Changed pgTAP tests to assume pgTAP is installed in public schema to try and avoid issues when it isn't.
1.3.0
-- New configuration option for retention system that allows child tables that are eligible for removal to instead be moved to another schema. Set the "retention_schema" option in the configuration table to move the table to the designated schema instead of dropping it. This overrides the retention_keep_table & retention_keep_index options.
-- New python script, dump_partition.py, that will dump any tables found in a given schema using pg_dump, create a SHA-512 hash of the dumped file and then drop the table from the database.
-- The combination of the retention_schema option and the dump_partition.py script give a way to reliably dump out tables for archiving when they are no longer needed in the database. Idea for this feature adapted from conversation at PGDay NYC 2013 (lost the card of the individual I was talking with :( ).
-- New function show_partitions() that gives a list of child tables in a partition set. Adapted from fork by https://github.com/ebaptistella
-- Previously the functions that created the new partitions were using only the "INCLUDING DEFAULTS INCLUDING INDEXES" options when using the CREATE TABLE ... (LIKE ...) syntax. This caused some contraints on the parent to be missed in child tables. Changed to include all available options as of PostgreSQL 9.1: INCLUDING DEFAULTS INCLUDING CONSTRAINTS INCLUDING INDEXES INCLUDING STORAGE INCLUDING COMMENTS. Change will apply to all newly created child tables in all partition sets managed by pg_partman. You'll have to go back and manually fix any already existing child tables that may be missing constraints. Issue reported by Nick Ebbitt.
-- Added TAP tests for drop partition functions.
-- Fixed some tap tests to more accurately test for table (non)existance
-- Clarified the drop_partition_id() function's retention parameter meaning.
1.2.0
-- Bug fix: Make child table lookups more intelligent to be able to deal with schemas being in the current search_path. Functions this affects are: drop_time_partition(), drop_id_partition(), reapply_privileges(), undo_partition(), undo_partition_id(), undo_partition_time(). Before table names may not have matched properly when looping through all tables to drop or reset privileges. Thanks to https://github.com/terrorobe for reporting this issue.
-- Bug fix: reapply_privileges() had unconditional calls to pg_jobmon functions and would fail if it wasn't installed.
-- Added new parameter to drop partition functions to manually set an interval you'd like to drop. Makes it easier to cleanup a bunch of old partitions you don't need anymore without having to go through the whole retention policy setup if that's not needed.
-- Renamed drop_time_partition() to drop_partition_time() and drop_id_partition() to drop_partition_id() to be more consistent with the other function names. Please check function ownership & privileges before and after update to ensure they are reset properly.
1.1.0
-- New python scripts in extras folder to allow partition creation and undoing using smaller commit batches, as is suggested in the documentation for the partition_data_* and undo_partition_* functions. This helps avoid transaction locks when there is a large amount of data to move around. There are also options to commit more slowly and ease the load on very busy systems.
-- Changed the ordering of batch arguments in partition_data_id() & partition_data_time(). This makes their order the same as the undo functions and is a more sensical order (I think anyway).
-- Made partition functions quieter. No more notices and just returns number of rows moved.
-- Changed the undo partition functions to remove partitions in the order they were originally created. They were doing it alphabetically before, which could cause an odd order for serial based partitioning (p100 would be before p2). Creation order may not remove them in ascending order of the data at first, which would be ideal, but it makes more sense than alphabetically.
-- Bug fix: undo_partition() could return 0 prematurely if some of the partitions were empty. Will now automatically uninherit/drop any empty partitions and continue on if there are still child tables, not counting them against p_batch_count if given.
1.0.0
-- New functions to undo partitioning. These all either move or copy data from the child tables and put it into the parent. All have an option to allow you either uninherit the child tables (default) or drop them when all their data has been put into the parent.
-- undo_partition_time() & undo_partition_id are functions that move the data from the child partitions to the parent tables. Data is deleted from the child table and inserted to the parent. These functions allow smaller interval batches to be given as a parameter and are better able to handle larger partitioning sets.
-- undo_partition() can work on an any parent/child table set in PostgreSQL, not just partition sets created by pg_partman. Just pass it the name of the parent table. This method only copies the data out of the child tables instead of deleting it, allowing you to keep all the partitioned data if desired. Because of this it can only process an entire partition at a time and cannot handle batches smaller than the partition interval.
-- Changed create_prev_id_partition() to partition_data_id() & create_prev_time_partition() to partition_data_time(). This clarifies what these actually do since they don't always create a partition nor is it always necessarily "previous" data.
-- Changed how the above functions work to move data from parent into partitions. You can now feed them a smaller interval value for the rows that you'd like moved instead of it always moving exactly one entire partition of data. This allows smaller batch sizes when you've got a lot of data even in just one partition. That interval is now the second parameter. A third parameter can tell it how many of those interval batches you'd like to move in a single run of the function. Both of these parameters are optional. If not given, the interval defaults to the partition interval and the batch count is one (so it works exactly like it used to with no parameters but the parent table given).
-- Partition premake system is now able to catch up if it falls behind for some reason. Also makes it so that if the premake value is increased, within the next few runs it will have that many partitions premade automatically.
-- Bug fix: create_time_partition() & create_time_function() now handle the "timestamp with time zone" data type much better. Was getting some mismatches in the trigger rules and table constraints when timestamptz was in use on server not running in UTC/GMT time. Would cause constraint violations during data insert at certain time boundaries. If you ran into this issue, there are two ways to fix it: 1) Manually recreate the constraints for the most recent partitions and any future partitions already created. You may have to move some data around as well. 2) Use the new undo functions to move all the data back into the parent table and then repartition again using the partition_data_* functions. This will fix the issue for all partitions.
-- Bug fix: Determining how many partitions to premake in run_maintenance() is now more accurate. Previous date math would occasionally premake 1 extra partition depending on the time differences. This can still occur with weekly partitioning due to differing month lengths (especially February) and daylight savings. Doesn't hurt anything and will self-correct.
-- Much more complete pgTAP test suite.
0.4.2
-- The static partitioning trigger function can now handle partitions based on the configured premake value. For example, the default premake value is 4 so it can now handle data for the current partition, 4 previous partitions and 4 future partitions. Changing the premake value will cause the trigger function to be changed appropriately the next time a partition is automatically created. Except for initial setup, at no time does the automated partitioning system create old partitions (see the create_prev_* functions if you need to do this). If you change the premake value and there is no previous partition for it to put data in, it will go to the parent table.
-- create_parent() now accounts for the new static partitioning rules. For time-static, it will create the current partition as well as previous and future partitions equal to the configured premake number (default premake being 4, you will end up with 9 partitions). For id-static, it will only create previous partitions if the resulting rules handle id values greater than zero. So if you're starting from zero you will only have future partitions created, and no previous.
-- Constraint now ensures that premake value is greater than zero.
-- create_parent() now ensures interval value for serial partitioning is greater than zero.
-- Much more extensive pgTAP tests.
0.4.1
-- Changed the privilege management system to apply the current parent's privileges only to new child tables at the time they're created. No longer re-applies privileges to existing child tables. When partition sets grew large, this was causing serious performance problems and was too expensive an operation to run every time a child was created.
-- Dropped apply_grants() function. New child table privileges are now managed by the partition creation functions themselves.
-- Created reapply_privileges() function to reset the privileges of all child tables in a given partition set. Uses the given parent's privileges at the time the function is run. All new grants will be set and all that don't exist will be revoked. Ownership will be updated if it has changed.
-- First round of pgTAP tests.
0.4.0
-- No separate configuration required for setting privileges on child tables anymore. Grants config table has been dropped. Please apply the grants you need to the parent table and they will be set for all children using that. Note that unlike before, privilges that don't exist on the parent will now be revoked from all child tables.
-- create_parent() now enforces that a given parent table be schema qualified. Ensures that a custom search_path doesn't affect the wrong table by accident.
-- Removed enum custom type and replace with check function.
-- Applying of grants is now logged in pg_jobmon so if there's any issues with that step, it's clear where it failed.
0.3.2
-- Allow multiple grant commands for the same partition set in case different roles need different grants. Removed primary key constraint from part_grants table and updated apply_grants function
-- create_parent() function now ensures that the control column has a not null constraint.
-- Make select-only functions STABLE
0.3.1
-- Added check to dynamic id & time trigger functions to see if target table exists. If it doesn't, insert to parent instead of throwing error. Better than losing data! check_parent() function can monitor for this happening and create_prev_* functions can easily fix it. Thought of having it auto-create the needed partition, but if something is going wrong, that could end up creating a lot of unwanted partitions and be harder to clean up.
0.3.0
-- Added grants configuration table to propagate permissions to newly created child partitions. Will also apply those permissions to the parent table and all existing child tables whenever a new partition is created. Permissions are only granted, never revoked. See docs for more info.
0.2.0
-- New functions to manage dropping old partitions. Does not actually need to be called directly unless necessary. Use run_maintenance() function.
-- Added ability to run_maintenance() function to manage dropping old tables in addition to managing time-based partitioning.
-- Removed raise notice in run_maintenance and make sure old search path is reset after function finishes running.
-- Lot of documentation updates
0.1.2
-- Added support for quarterly time partitioning (trickier than it first appeared)
-- Fixed bug in run_maintenance() that would give an invalid cast to integer error.
-- Fixed some calls to pg_jobmon that were outside the checks to see if it's actually installed
-- Properly reset search path back to original before partman functions were run if pg_jobmon is being used
-- Changed the default premake to 4 instead of 3. This will cause pg_jobmon's default monitoring for 3 consecutive failing jobs to trigger an before the last premade partition is used up.
-- Added optional jobmon logging to run_maintenance() so that if it fails, pg_jobmon can notify that maintenance didn't work.
0.1.1
-- Only re-create partition functions if a new partition is made.