![]() ![]() We can continue to use the pipe mechanism from \COPY without parallelism. Unlike parallelized pg_dump / pg_restore, there's no need to move data to a staging file. Test alternative restoration with \COPY (parallelism) Time for j in `echo "SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' and table_type='BASE TABLE' ORDER BY table_name"|./pgsource.sh`Įcho "\copy $j FROM PROGRAM 'echo copy binary $j to STDOUT|./pgsource.sh' WITH BINARY "|./pgdestination.sh Time PGPASSWORD= pg_dump -C -Fc -schema-only -h. Preparation: use pg_dump and psql to move schema.Test data move with \COPY (no parallelism) (See the pg_dump, pg_restore documentation to learn about format options). We’ll need to use the directory format export, and dump to regular files. Test full restoration with pg_dump/pg_restore (parallel) Internally, pg_dump and pg_restore uses the COPY command ![]() Test full restoration with pg_dump/pg_restore (no parallelism) There are no indexes or foreign keys in this database. My source database has 20 tables each with 1 million auto-generated rows. Pgdestination.sh = bash script with psql and connection string to destination `tests` database Pgsource.sh = bash script with psql and connection string to source `tests` database That way I can call those scripts when I want to connect. Alternatively, you can consider using a migration service.įor this example, I will be migrating from an Azure Database for PostgreSQL Basic tier single Server to a General Purpose tier single server.įirst, I’ll store the psql connection strings to my source and destination servers in scripts. You’ll have to take additional steps to move those objects. ![]()
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