Informix SQL Optimization

Event:

Title:

Informix SQL optimization

Course code:

S258

Date:

On request

Duration:

3 Days

Cost per person:

1.650,00€ plus VAT

Organizer:

LIS.TEC GmbH

Location:

Ludwigsburg

Services:

Small study groups

Food & drinks

Seminar documents and training in german

If you register for several participants, we offer interesting graduated discounts.

You can register by sending an e-mail to schulung@listec.de

Contact: Herr Joachim Klassen

Telephone: +49 (0) 7141 93 93-0

Description:

The topic of “SQL Optimization” not only covers the topic of “finding and optimizing problematic SQL statements”, but also demonstrates the benefits of parallelized queries on multi-fragmented compressed tables and provides guidance on how to get through administrative intervention Optimizing OLAP and OLTP queries as best as possible.

The topics at a glance: 

  • optimization cycle
  • target definition
  • Wait statistics
    • Activation
    • Total System Review
    • Evaluation of individual sessions
  • SQL trace
    • Activation
    • Time evaluation of the history
  • Set Explain
    • Passive activation
  • Benefit of the indices
    • To find specific key values
    • To avoid sorting in ORDER BY / GROUP BY
    • To find intersections “Forrest of trees”
    • Key-only reads
    • Cluster indices
  • Expense of an index
    • For creating and finding large numbers of hits
  • Nested loop join
  • Dynamic hash join
  • Combination of dynamic hash join and index access
  • statistics
    • Basic data of the optimizer
    • Automatic update of statistics
  • Is the optimization path correct?
    • Easy check if the optimization path is correct
    • Use of directives for the optimizer
  • Combination of optimizer directives with complex SQL statements
  • Problem with using views
  • Parallel sorting and grouping
  • Use of fragmented tables
    • for parallel I/O processing
    • Reduction of the I/O effort by fragment elimination
  • Use of fragmented indexes
  • Fragmentation of tables
  •  simple compression
    • Compression with cluster indices

LIS.TEC GmbH

Contact us!