Administration: Optimizing Queries

Query Plans

Anatomy of a Query Plan

An Omnidex query plan is designed to provide all of the essential information needed to understand how a query will be processed, as well as basic suggestions about how to further optimize the query. A great deal can be learned by reviewing the query plan, and it is always the first step in understanding Omnidex query performance.

A query plan consists of two sections: the Summary and the Details. The Summary section shows the SQL statement, the version of Omnidex, any optimization warnings, and even occasional suggestions for optimizing the query. The Details section shows the steps that will be executed to satisfy the query. Steps are executed in the order displayed, and are indented as needed to show loops of instructions. The example below shows the skeleton of a query plan:

----------------------------------- SUMMARY -----------------------------------
<SQL Statement>

Version:      <Omnidex version>
Warnings:     <Warning flags>
Notes:        <Optimization notes>
----------------------------------- DETAILS -----------------------------------
<Query processing step 1>
<Query processing step 2>
<Query processing step 3>
...
-------------------------------------------------------------------------------

The SUMMARY Section

The Summary section describes the SQL Statement and provides warnings and notes about eh optimization of the query. The Summary section is the first place to look when evaluating the optimization of a query.

SQL Statement

The SQL Statement being explained is shown, formatted for easy viewing.

Version

The version of Omnidex, including the compilation timestamp. This is important as optimization can be different between versions of Omnidex.

Warning Flags

Warning flags indicate an optimization concern that warrants attention when tuning a query. These warnings do not indicate a certain problem, but rather an area that could be contributing to poor performance. Warning flags are sometimes accompanied by further notes in the Notes section.

Setting Description
XREF_FILES Cross-Reference files were required to process this query. Cross-Reference files are sometimes used to optimize complex, many-to-many table join relationships, but they generally cause a query to take a lot of time, especially on large databases. It is usually preferable to rewrite the query so that there is no a many-to-many table relationship. This can sometimes be accomplished using subqueries.
UNOPTIMIZED_CRITERIA One or more criteria could not be satisfied using Omnidex indexing, usually because an index does not exist or the indexing options prevent its used. It is usually preferable to add an index to process the unoptimized criteria.
CARTESIAN_PRODUCTS This query contains a Cartesian Joins, meaning that two tables are joined together without any join criteria. While there are rare cases when Cartesian Joins are desireable, they are usually an indication of missing join criteria.
UNOPTIMIZED_AGGREGATION This query required that aggregations be performed without the use of Omnidex indexes, resulting in additional sorting. It is usually preferrable to add Omnidex indexes to support this aggregation. A valid exception to this rule is when a small intermediate result set is being reaggregated, either in Star Schema or Omnidex Grid scenarios.
UNOPTIMIZED_SORT This query required that sorting be performed rather than using an Omnidex index. It is usually preferrable to add Omnidex indexes to support ORDER BY clauses whenever the result set is large.
SEQUENTIAL_SCAN This query required a sequential table scan. Sequential table scans should generally be avoided when retrieving more than 5-10% of the table.
SEQUENTIAL_TABLE_JOIN This query required a sequential table join. A sequential table join scans all rows in the second table for each and every row in the first table. This is the most inefficient way to perform a join, and is only necessary when Omnidex indexing, underlying database indexing, table caching and sort/merging cannot be used.
GRID_AGGREGATION This query required that additional aggregations be performed on the Grid Controller within an Omnidex Grid. If the Grid Nodes are sending a large amount of data to the Grid Controller for reaggregation, this can be alleviated using DISTINCT table constraints or alternative partitioning strategies.
Notes

Notes describing optimization decisions or suggestions that were made during the analysis of the query. These notes often contain valuable instructions about how to improve the optimization of the query, and are usually the most valuable aspect of the query plan when tuning a query.

The DETAILS Section

The Details section describes the processing steps needed to process the query. Steps are processed in the order shown, and steps that occur in a loop are indented if needed to show the processing flow. Ultimately, these processing steps are the key to fully understanding the optimization of a query.

Query processing steps

The following processing steps are show in this section:

Step Description
Aggregate Aggregate rows using one or more Omnidex indexes, honoring grouped counts, distinct counts, sums, averages, mins and maxes.
Build cache Create a memory-resident Hashed Data Cache for a result set to be referenced later in subsequent steps.
Build xref Create a cross-reference file to aid in the processing of a many-to-many table relationship.
Create segment Create a data or index segment from the current results to be reused in subsequent steps.
Create table Create a table in the underlying database to receive the result set of the query.
Export Export data values or index pointers into a file to be reused in subsequent steps.
Fetchkeys Fetch primary keys or rowids from the indexes for use in retrieve data from the underlying database.
Filter Process criteria using in-memory comparisons rather than using an Omnidex index.
Insert Insert rows into a table produced by an earlier Create Table step.
Join Join from one table to another table using the Omnidex indexes.
Merge queues Combine and merge two intermediate queues generated by earlier Pass to Queue steps.
Pass to queue Pass intermediate data into a queue for sorting or use in subsequent steps.
Processing subquery Begin processing of a subquery.
Qualify Process criteria against an Omnidex index.
Read from xref Read entries from a previously created cross-reference file while processing a many-to-many table relationship.
Retrieve Retrieve data from the underlying database.
Retrieve from index Retrieve select items from a query or subquery using an Omnidex index, rather than the underlying database.
Return Return the result set of the query.
Returning from subquery End processing of a subquery, returning results for use in subsequent steps.
Sample Reduce the result set using an Omnidex index to a certain number of rows per control break, optionally favoring the min or max of a column.
Sort Sort a queue for use in subsequent steps.

Additional Resources

See also:

 
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admin/optimization/plans/reference.txt ยท Last modified: 2016/06/28 22:38 (external edit)
 
 
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