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Reducing Network Traffic (Magic xpa 2.x)

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Created ByKnowledge Migration User
Approval Process StatusPublished
Objective
Description

Reducing Network Traffic (Magic xpa 2.x)

Reducing network traffic is the best way to improve performance.

Follow these guidelines to reduce traffic on the network:

  • Select only the fields you really need from the record. Only those fields will be received from the database.

  • Use ranges that can be sent to the database instead of a Task Range.

  • Use Link Inner Join/Left Outer Join instead of Link Query.

  • Use Database Views instead of links, when possible.

Using RDBMS views instead of simple tables can improve performance when joining tables. Magic xpa’s Link operation is implemented by issuing a separate SELECT statement to the database for every linked table. Batch tasks can be performed more efficiently by using a view that joins the main file and the linked files or by using Magic xpa’s Link Inner Join/Left Outer Join operation instead of Link Query. Let the database do the join.

Note:

There are differences in how Magic xpa and RDBMSs use the term view.

  • Magic xpa uses the term view to describe the fields selected from the main file together with fields selected from the linked files and virtual fields.

  • SQL databases use the term view to describe a pre-defined SELECT statement saved in the internal Data Dictionary and used as a table. The view definition can join several tables, use statistical functions, and use a WHERE clause to select part of the records in the table.

Updates on views are sometimes restricted by database limitations.

Example:

There is a task with a main file containing 10,000 records and three linked files. If performed in the usual way (using Link Query), the number of SELECT cursors opened by the task would be: 1 + 3* 10,000 = 30,001.

If you use Magic xpa’s Link Inner Join/Left Outer Join operations instead of Link Query, the number of SELECT statements executed by the task would be: 1.

If you define a DB view in the database, the number of SELECT statements executed by the task would be: 1.

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