Cleanup Data from Table
Hai semuanya, Selain INSERT
, UPDATE
dan DELETE
statement ada juga beberapa task seperti cleanup data/storage pada database PostgreSQL dengan menggunakan perintah TRUNCATE
dan VACUUM
.
Ok jadi langsung aja kita bahas materi yang pertama:
Cleanup data of tables using TRUNCATE
TRUNCATE
is a command to empty a table or set of tables. It has the same effect as an unqualified DELETE
on each table, but since it does not actually scan the tables it is faster. Furthermore this is most useful on large tables. The syntax is:
Before you execute this command, You must have the TRUNCATE
privilege on a table to truncate it.
TRUNCATE
acquires an ACCESS EXCLUSIVE
lock on each table it operates on, which blocks all other concurrent operations on the table. When RESTART IDENTITY
is specified, any sequences that are to be restarted are likewise locked exclusively. If concurrent access to a table is required, then the DELETE
command should be used instead.
TRUNCATE
cannot be used on a table that has foreign-key references from other tables, unless all such tables are also truncated in the same command. Checking validity in such cases would require table scans, and the whole point is not to do one. The CASCADE
option can be used to automatically include all dependent tables — but be very careful when using this option, or else you might lose data you did not intend to!
When RESTART IDENTITY
is specified, the implied ALTER SEQUENCE RESTART
operations are also done transactionally; that is, they will be rolled back if the surrounding transaction does not commit. Be aware that if any additional sequence operations are done on the restarted sequences before the transaction rolls back, the effects of these operations on the sequences will be rolled back, but not their effects on currval();
that is, after the transaction currval()
will continue to reflect the last sequence value obtained inside the failed transaction, even though the sequence itself may no longer be consistent with that.
Sebagai contoh, saya akan menghapus data table job_history
seperti berikut perintahnya:
Jika dijalankan seperti berikut:
hr=# truncate job_history RESTART IDENTITY CASCADE;
TRUNCATE TABLE
hr=# select count(*)
hr-# from job_history;
count
-------
0
(1 row)
Cleanup storage to reclaims occupied by dead tuples
VACUUM reclaims storage occupied by dead tuples. In normal PostgreSQL operation, tuples that are deleted or obsoleted by an update are not physically removed from their table; they remain present until a VACUUM is done. Therefore it’s necessary to do VACUUM periodically, especially on frequently-updated tables.
To vacuum a table, one must ordinarily be the table’s owner or a superuser. However, database owners are allowed to vacuum all tables in their databases, except shared catalogs. (The restriction for shared catalogs means that a true database-wide VACUUM can only be performed by a superuser.) VACUUM will skip over any tables that the calling user does not have permission to vacuum.
VACUUM cannot be executed inside a transaction block.
We recommend that active production databases be vacuumed frequently (at least nightly), in order to remove dead rows. After adding or deleting a large number of rows, it might be a good idea to issue a VACUUM ANALYZE command for the affected table. This will update the system catalogs with the results of all recent changes, and allow the PostgreSQL query planner to make better choices in planning queries.
VACUUM causes a substantial increase in I/O traffic, which might cause poor performance for other active sessions. Therefore, it is sometimes advisable to use the cost-based vacuum delay feature. For parallel vacuum, each worker sleeps in proportion to the work done by that worker.
PostgreSQL includes an “autovacuum” facility which can automate routine vacuum maintenance.
To clean a single table employees
, analyze it for the optimizer and print a detailed vacuum activity report:
Jika dijalankan hasilnya seperti berikut:
hr=# VACUUM (VERBOSE, ANALYZE) employees;
INFO: vacuuming "public.employees"
INFO: scanned index "employees_pkey" to remove 21 row versions
DETAIL: CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s
INFO: scanned index "employees_email_key" to remove 21 row versions
DETAIL: CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s
INFO: table "employees": removed 21 dead item identifiers in 2 pages
DETAIL: CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s
INFO: index "employees_pkey" now contains 91 row versions in 2 pages
DETAIL: 21 index row versions were removed.
0 index pages were newly deleted.
0 index pages are currently deleted, of which 0 are currently reusable.
CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
INFO: index "employees_email_key" now contains 91 row versions in 2 pages
DETAIL: 21 index row versions were removed.
0 index pages were newly deleted.
0 index pages are currently deleted, of which 0 are currently reusable.
CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
INFO: table "employees": found 10 removable, 91 nonremovable row versions in 2 out of 2 pages
DETAIL: 0 dead row versions cannot be removed yet, oldest xmin: 762
Skipped 0 pages due to buffer pins, 0 frozen pages.
CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
INFO: analyzing "public.employees"
INFO: "employees": scanned 2 of 2 pages, containing 91 live rows and 0 dead rows; 91 rows in sample, 91 estimated total rows