AWS POSTGRESQL DUMP EC2 ARCHIVE
AWS POSTGRESQL DUMP EC2 FULL

If you notice that some data has been created temporarily for testing purposes during some development process and not cleaned up yet, you can remove that old or temporary data, reducing the size of the database and therefore snapshot time. HAVING COUNT(*) > 1 Archiving or removing old or temporary data ,array_agg(indexrelid::regclass) AS Indexes Index_scan_pct, scans_per_write, index_size, table_sizeįor duplicate indexes, use the following query: SELECT reason, schemaname, tablename, indexname, ( writes::NUMERIC / ( total_writes + 1 ) ) > 0.02 SELECT 'High-Write Large Non-Btree' as reason, index_ratios.*, 4 as grp SELECT 'Seldom Used Large Indexes' as reason, *, 3 as grp SELECT 'Low Scans, High Writes' as reason, *, 2 as grp SELECT 'Never Used Indexes' as reason, *, 1 as grp Pg_size_pretty(table_size) as table_size, Pg_size_pretty(index_bytes) as index_size, Round((CASE WHEN writes = 0 THEN idx_scan::NUMERIC ELSE idx_scan::NUMERIC/writes END),2) Round(( CASE WHEN all_scans = 0 THEN 0.0::NUMERICĮLSE idx_scan::NUMERIC/all_scans * 100 END),2) as index_scan_pct, ON idx_stat.schemaname = indexes.schemanameĪND idx_stat.indexrelname = indexes.indexname

Indexdef ~* 'USING btree' AS idx_is_btree Pg_relation_size(idx_stat.indexrelid) as index_bytes, Idx_stat.schemaname, idx_stat.relname as tablename, SELECT idx_stat.relid, idx_stat.indexrelid, ( tables.n_tup_ins + tables.n_tup_upd + tables.n_tup_del ) as writes, Use the following query for unused indexes: For more information, see Working with the pg_repack Extension.Īlso, you can remove duplicate or unused indexes in your database using the following two queries. This extension is supported on Amazon RDS for PostgreSQL versions 9.6.3 and later. You can use the pg_repack extension to remove bloat from tables and indexes. These maintenance activities need the ACCESS EXCLUSIVE lock in the objects, which doesn’t allow any SQL on the object.

AWS POSTGRESQL DUMP EC2 FULL

You can check the bloat on the database using a bloat query, which shows the sizes of tables and indexes with actual size and the size that can be reduced by running VACUUM FULL or REINDEX on a particular table or index. Running VACUUM FULL or pg_repack on the database

AWS POSTGRESQL DUMP EC2 ARCHIVE

Archive or remove any old or temporary data.Run VACUUM FULL/REINDEX or pg_repack on the database.To reduce the time of the migration process, you can reduce the size of the database before you start the migration. This post talks about migrating an Aurora PostgreSQL instance from another PostgreSQL source, which can be an existing Amazon RDS for PostgreSQL instance or self-managed PostgreSQL instance (installed on an Amazon Elastic Compute Cloud (Amazon EC2) instance or on-premises).

With Amazon Aurora Global Database, you can now replicate PostgreSQL databases in up to five Regions for remote read access and disaster recovery in the event of the failure of an entire Region.ĭue to these features, many customers are migrating their databases to Aurora PostgreSQL. Aurora provides this by scaling storage across three Availability Zones in the same Region, and supports up to 15 read replica instances for scaling out read workloads and high availability within a single Region. Amazon Aurora with PostgreSQL compatibility combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.

Aws postgresql dump ec2