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Full Discussion: Shell script for scheduling
Top Forums Shell Programming and Scripting Shell script for scheduling Post 60810 by google on Saturday 22nd of January 2005 01:01:24 AM
Old 01-22-2005
This may be a legitimate post. Create a temp table in your database, have each procedure post back to the table. This is how our project tends to do these sorts of things. Table is small and has columns such as: job ID, current status (in progress, success, failure) and a date/time column of the last update.Drop the table if it is not needed after your run.
 

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ANALYZE(7)							   SQL Commands 							ANALYZE(7)

NAME
ANALYZE - collect statistics about a database SYNOPSIS
ANALYZE [ VERBOSE ] [ table [ (column [, ...] ) ] ] INPUTS VERBOSE Enables display of progress messages. table The name (possibly schema-qualified) of a specific table to analyze. Defaults to all tables in the current database. column The name of a specific column to analyze. Defaults to all columns. OUTPUTS ANALYZE The command is complete. DESCRIPTION
ANALYZE collects statistics about the contents of PostgreSQL tables, and stores the results in the system table pg_statistic. Subsequently, the query planner uses the statistics to help determine the most efficient execution plans for queries. With no parameter, ANALYZE examines every table in the current database. With a parameter, ANALYZE examines only that table. It is further possible to give a list of column names, in which case only the statistics for those columns are updated. NOTES It is a good idea to run ANALYZE periodically, or just after making major changes in the contents of a table. Accurate statistics will help the planner to choose the most appropriate query plan, and thereby improve the speed of query processing. A common strategy is to run VAC- UUM [vacuum(7)] and ANALYZE once a day during a low-usage time of day. Unlike VACUUM FULL, ANALYZE requires only a read lock on the target table, so it can run in parallel with other activity on the table. For large tables, ANALYZE takes a random sample of the table contents, rather than examining every row. This allows even very large tables to be analyzed in a small amount of time. Note however that the statistics are only approximate, and will change slightly each time ANALYZE is run, even if the actual table contents did not change. This may result in small changes in the planner's estimated costs shown by EXPLAIN. The collected statistics usually include a list of some of the most common values in each column and a histogram showing the approximate data distribution in each column. One or both of these may be omitted if ANALYZE deems them uninteresting (for example, in a unique-key column, there are no common values) or if the column data type does not support the appropriate operators. There is more information about the statistics in the User's Guide. The extent of analysis can be controlled by adjusting the default_statistics_target parameter variable, or on a column-by-column basis by setting the per-column statistics target with ALTER TABLE ALTER COLUMN SET STATISTICS (see ALTER TABLE [alter_table(7)]). The target value sets the maximum number of entries in the most-common-value list and the maximum number of bins in the histogram. The default target value is 10, but this can be adjusted up or down to trade off accuracy of planner estimates against the time taken for ANALYZE and the amount of space occupied in pg_statistic. In particular, setting the statistics target to zero disables collection of statistics for that column. It may be useful to do that for columns that are never used as part of the WHERE, GROUP BY, or ORDER BY clauses of queries, since the planner will have no use for statistics on such columns. The largest statistics target among the columns being analyzed determines the number of table rows sampled to prepare the statistics. Increasing the target causes a proportional increase in the time and space needed to do ANALYZE. COMPATIBILITY
SQL92 There is no ANALYZE statement in SQL92. SQL - Language Statements 2002-11-22 ANALYZE(7)
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