Optimize Oracle and Teradata Performance with These Simple Tuning Tips

by / February, 2018 / Published in Oracle DBA Tips

oracle teradata performance tuning

In the complex universe of database management, performance is everything. While a DBMS could offer the most thorough security features and accessibility options, lackluster performance can derail productivity, profitability and future success.

Whether you're running Oracle Database or Teradata, there are several performance tuning tips capable of elevating its baseline operation. If you're searching for ways to boost speed, efficiency, and productivity, continue reading to uncover the most dynamic tuning techniques for both Oracle and Teradata.

Establish Performance Baselines - The Foundation of Efficiency

Before diving into specific techniques, the cornerstone of boosting database performance is identifying a performance baseline. Without an established foundation, spotting performance issues is paramount for the ongoing quest of optimized performance.

An established baseline cultivates performance targets, which offers a broad understanding of your unique DB capabilities during peak usage. Archiving database performance offers a firm grasp on baseline operation, which is essential when battling inevitable bottlenecks. Gather the following information when compiling baseline data:

  • Network Statistics
  • Disk I/O Statistics
  • OS Statistics
  • Database Statistics
  • Application Statistics, such as response times and transaction volume

You must analyze above different kinds of statistics for investigating the root cause of performance degradation.

Oracle Performance Tuning Tips for Optimum Speed:

Optimizing Oracle performance isn't an easy task, even for the most seasoned database administrator. The unique characteristics of relational databases can make for a frustrating experience. Considering this, there are several fundamental steps designed to instantly optimize performance:

  • Rewrite Complex SQL Subqueries - Use temporary tables for complex SQL subqueries with the WITH operator to activate the GTT (Global Temporary Table). This methodology is especially beneficial for subqueries with the WHERE and SELECT clauses and in-line views with the FROM clause.
  • NULL Indexing - If your data contains too many NULL value then creating an index for NULL data values can boost performance if you run SQL tests for NULL. This feature is available after Oracle11g versions.
  • Use Aliases - Whenever referencing a column, aliases can increase performance/speed.
  • Database Block Sizes - The DB_BLOCK_SIZE parameter value should be around 8192 for OTLP processing systems. OLAP warehouse systems generally require a greater value, which varies based upon your specific database size. This should be taken care during database creation or tablespace creation.
  • Review Oracle Performance Planning Guide -Oracle offers a unique performance planning methodology designed to assist in the creation, application and maintenance of databases. Reference this guide located at the Oracle Help Center.

Teradata Performance Tuning Tips - Essential Steps for Speed:

Calibrating Teradata for efficiency can be a complex procedure. However, the following steps are fundamental processes to reduce bloat and maximize overall performance.

  • Query Explain - The cornerstone of boosting Teradata performance is using EXPLAIN in your query. In the results, look for elements such as:
    • Redistribution
    • Spool File Size
    • Join Strategy Used
    • Confidence Level
  • Data Types Used - Confirm the proper Data Types are being used. This easy step identifies if improper types are in use, which can absorb performance-draining storage.
  • Eliminate Useless ORDER BY Clauses - - Sort your data and look for unnecessary ORDER BY clauses, which can slow performance. However, confirm the ORDER BY clause is not needed before removal.
  • Intermediate Table PI - If your database is configured to use Intermediate Tables to house results, confirm these tables feature identical PI source as well as destination tables.
  • Inner/Outer Table Conditions - Confirm the ON condition is used for inner table filter conditions. Also, make sure the WHERE condition is used for outer table filter conditions.
  • Limit Data Selection - As a general rule, the less data that's being retrieved, the faster your query performance. Instead of client-side filtering, perform as much server-side filtering as possible. This reduces the volume of data sent, which results in significantly improved performance.
  • Reduce Foreign Key Constraints - This is a debatable tuning tip. While foreign key constraints safeguard data integrity, it accomplishes this by sacrificing performance. Therefore, if you’re working with a sluggish DB, assign integrity rules to application layers.

In Short:

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