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Redistribute tables to balance existing data over the newly expanded cluster.
After creating an expansion schema, you can bring Greenplum Database back online and redistribute tables across the entire array with gpexpand. Target low-use hours when the utility's CPU usage and table locks have minimal impact on operations. Rank tables to redistribute the largest or most critical tables in preferential order.
While table redistribution is underway any new tables or partitions created are distributed across all segments exactly as they would be under normal operating conditions. Queries can access all segments, even before the relevant data is redistributed to tables on the new segments. The table or partition being redistributed is locked and unavailable for read or write operations. When its redistribution completes, normal operations resume.
Ranking Tables for Redistribution
For large systems, control the table redistribution order. Adjust tables' rank values in the expansion schema to prioritize heavily-used tables and minimize performance impact. Available free disk space can affect table ranking; see Managing Redistribution in Large-Scale Greenplum Systems.
To rank tables for redistribution by updating rank values in gpexpand.status_detail, connect to Greenplum Database using psql or another supported client. Update gpexpand.status_detail with commands such as:
=> UPDATE gpexpand.status_detail SET rank=10; => UPDATE gpexpand.status_detail SET rank=1 WHERE fq_name = 'public.lineitem'; => UPDATE gpexpand.status_detail SET rank=2 WHERE fq_name = 'public.orders';
These commands lower the priority of all tables to 10 and then assign a rank of 1 to lineitem and a rank of 2 to orders. When table redistribution begins, lineitem is redistributed first, followed by orders and all other tables in gpexpand.status_detail. To exclude a table from redistribution, remove the table from gpexpand.status_detail.
Redistributing Tables Using gpexpand
To redistribute tables with gpexpand
- Log in on the master host as the user who will run your Greenplum Database system, for example, gpadmin.
- Run the gpexpand utility. You can use the
-d or -e option to define the expansion session time
period. For example, to run the utility for up to 60 consecutive
$ gpexpand -d 60:00:00
The utility redistributes tables until the last table in the schema completes or it reaches the specified duration or end time. gpexpand updates the status and time in gpexpand.status when a session starts and finishes.
Monitoring Table Redistribution
You can query the expansion schema during the table redistribution process. The view gpexpand.expansion_progress provides a current progress summary, including the estimated rate of table redistribution and estimated time to completion. You can query the table gpexpand.status_detail for per-table status information.
Viewing Expansion Status
After the first table completes redistribution, gpexpand.expansion_progress calculates its estimates and refreshes them based on all tables' redistribution rates. Calculations restart each time you start a table redistribution session with gpexpand. To monitor progress, connect to Greenplum Database using psql or another supported client; query gpexpand.expansion_progress with a command like the following:
=# SELECT * FROM gpexpand.expansion_progress; name | value ------------------------------+----------------------- Bytes Left | 5534842880 Bytes Done | 142475264 Estimated Expansion Rate | 680.75667095996092 MB/s Estimated Time to Completion | 00:01:01.008047 Tables Expanded | 4 Tables Left | 4 (6 rows)
Viewing Table Status
The table gpexpand.status_detail stores status, time of last update, and more facts about each table in the schema. To see a table's status, connect to Greenplum Database using psql or another supported client and query gpexpand.status_detail:
=> SELECT status, expansion_started, source_bytes FROM gpexpand.status_detail WHERE fq_name = 'public.sales'; status | expansion_started | source_bytes -----------+----------------------------+-------------- COMPLETED | 2009-02-20 10:54:10.043869 | 4929748992 (1 row)