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Garbage-collects and optionally analyzes a database.
VACUUM [FULL] [FREEZE] [VERBOSE] [table] VACUUM [FULL] [FREEZE] [VERBOSE] ANALYZE [table [(column [, ...] )]]
VACUUM reclaims storage occupied by deleted tuples. In normal Greenplum Database operation, tuples that are deleted or obsoleted by an update are not physically removed from their table; they remain present on disk until a VACUUM is done. Therefore it is necessary to do VACUUM periodically, especially on frequently-updated tables.
With no parameter, VACUUM processes every table in the current database. With a parameter, VACUUM processes only that table.
VACUUM ANALYZE performs a VACUUM and then an ANALYZE for each selected table. This is a handy combination form for routine maintenance scripts. See ANALYZE for more details about its processing.
VACUUM (without FULL) marks deleted and obsoleted data in tables and indexes for future reuse and reclaims space for re-use only if the space is at the end of the table and an exclusive table lock can be easily obtained. Unused space at the start or middle of a table remains as is. With heap tables, this form of the command can operate in parallel with normal reading and writing of the table, as an exclusive lock is not obtained.
With append-optimized tables, VACUUM compacts a table by first vacuuming the indexes, then compacting each segment file in turn, and finally vacuuming auxiliary relations and updating statistics. On each segment, visible rows are copied from the current segment file to a new segment file, and then the current segment file is scheduled to be dropped and the new segment file is made available. Plain VACUUM of an append-optimized table allows scans, inserts, deletes, and updates of the table while a segment file is compacted.
VACUUM FULL does more extensive processing, including moving of tuples across blocks to try to compact the table to the minimum number of disk blocks. This form is much slower and requires an exclusive lock on each table while it is being processed.
With append-optimized tables, VACUUM FULL acquires an exclusive lock and disallows inserts, updates and deletes, but SELECT statements can be executed during most of the compaction process. When all visible rows have been copied to the new segment file, the table is locked briefly while the new segment is made available and the old segment is set to be dropped.
When VERBOSE is specified, VACUUM emits progress messages to indicate which table is currently being processed. Various statistics about the tables are printed as well.
- Selects a full vacuum, which may reclaim more space, but takes much longer and exclusively locks the table.
- Specifying FREEZE is equivalent to performing VACUUM with the vacuum_freeze_min_age server configuration parameter set to zero. See Server Configuration Parameters for information about vacuum_freeze_min_age.
- Prints a detailed vacuum activity report for each table.
- Updates statistics used by the planner to determine the most efficient way to execute a query.
- The name (optionally schema-qualified) of a specific table to vacuum. Defaults to all tables in the current database.
- The name of a specific column to analyze. Defaults to all columns.
VACUUM cannot be executed inside a transaction block.
Pivotal recommends that active production databases be vacuumed frequently (at least nightly), in order to remove expired rows. After adding or deleting a large number of rows, running the VACUUM ANALYZE command for the affected table might be useful. This updates the system catalogs with the results of all recent changes, and allows the Greenplum Database query optimizer to make better choices in planning queries.
VACUUM causes a substantial increase in I/O traffic, which can cause poor performance for other active sessions. Therefore, it is advisable to vacuum the database at low usage times.
For heap tables, expired rows are held in what is called the free space map. The free space map must be sized large enough to cover the dead rows of all heap tables in your database. If not sized large enough, space occupied by dead rows that overflow the free space map cannot be reclaimed by a regular VACUUM command.
VACUUM commands skip external tables.
VACUUM FULL reclaims all expired row space, however it requires an exclusive lock on each table being processed, is a very expensive operation, and might take a long time to complete on large, distributed Greenplum Database tables. Pivotal recommends performing VACUUM FULL operations during database maintenance periods.
As an alternative to VACUUM FULL, you can re-create the table with a CREATE TABLE AS statement and drop the old table.
For append-optimized tables, VACUUM requires enough available disk space to accommodate the new segment file during the VACUUM process. If the ratio of hidden rows to total rows in a segment file is less than a threshold value (10, by default), the segment file is not compacted. The threshold value can be configured with the gp_appendonly_compaction_threshold server configuration parameter. VACUUM FULL ignores the threshold and rewrites the segment file regardless of the ratio. VACUUM can be disabled for append-optimized tables using the gp_appendonly_compaction server configuration parameter. See Server Configuration Parameters for information about the server configuration parameters.
If a concurrent serializable transaction is detected when an append-optimized table is being vacuumed, the current and subsequent segment files are not compacted. If a segment file has been compacted but a concurrent serializable transaction is detected in the transaction that drops the original segment file, the drop is skipped. This could leave one or two segment files in an "awaiting drop" state after the vacuum has completed.
For more information about concurrency control in Greenplum Database, see "Routine System Maintenance Tasks" in Greenplum Database Administrator Guide.
Vacuum all tables in the current database:
Vacuum a specific table only:
Vacuum all tables in the current database and collect statistics for the query optimizer:
There is no VACUUM statement in the SQL standard.