How do you perform performance tuning in Teradata?

How do you perform performance tuning in Teradata?

Teradata – Performance Tuning

1. Explain. The first step in performance tuning is the use of EXPLAIN on your query.
2. Collect Statistics. Optimizer uses Data demographics to come up with effective execution strategy.
3. Data Types. Make sure that proper data types are used.
4. Conversion.
5. Sort.
6. Spool Space Issue.
7. Primary Index.
8. SET Table.

What is query optimization techniques in Teradata?

The Goal of Query Optimization

• Physical implementation of the database.
• Current interval histogram statistics and dynamic AMP sample statistics.
• System configuration and costing formulas.
• Column and index set cardinalities.
• Algorithms to generate interesting plan alternatives.
• Heuristics to limit the size of the search space.

What is bottleneck in Teradata?

In Teradata, Performance tuning is done to identify all the bottlenecks and then resolve them. The bottleneck is not a form of error, but it certainly causes a certain amount of delay.

How do you optimize a Teradata query?

Teradata SQL Queries: 6 Effective Tricks To Optimize Them

1. Avoid multiple Joins to the same Table.
2. Avoid functions in Equi-Join Conditions.
3. Avoid the usage of UNION.
4. Avoid GROUP BY over Expressions.
5. Divide large Teradata SQL queries into smaller ones.
6. Consider the creation of additional statistics and indexes.

What is performance tuning explain with requirements for it?

Performance tuning is the improvement of system performance. Modify that part of the system to remove the bottleneck. Measure the performance of the system after modification. If the modification makes the performance better, adopt it. If the modification makes the performance worse, put it back the way it was.

What is skewness in Teradata?

Skewing is one of the biggest problems on a Teradata system because it harms performance. If a table has a high skew factor, not all AMPs are uniformly employed for queries on this table. This not only hurts this one query but on the entire system.

How can I improve my performance tuning?

Performance Tuning Strategies

1. Reduce Competition From Application Processing. The most basic performance tuning strategy for archive processing is to reduce competition from normal application processing.
2. Exclude Rows Based on Relationship.
3. Run Multiple Process Requests.
4. Data Integrity Processing.
5. Partition Database Tables.

How is performance tuning done in Teradata server?

In Teradata, Performance tuning is done to identify all the bottlenecks and then resolve them. The bottleneck is not a form of error, but it certainly causes a certain amount of delay. There are the following ways to identifying a bottleneck and resolve them, such as: The first step in performance tuning is the use of EXPLAIN on the query.

What should I do before a Teradata requiste?

As a pre-requiste , make sure 1. Run explain plan (pressing F6 or “EXPLAIN sel * …”,) A. In case of product join scenarios,check for – Ensure statistics are collected on join columns and this is especially important if the columns you are joining on are not unique.

What do you need to know about Teradata optimizer?

The Teradata Optimizer has unique statistic requirements for PPI tables. The following statistics should additionally be collected on PPI tables: Statistics on dummy column “PARTITION” tell the optimizer the number of the empty statistics. These statistics are required if the partitioning columns are not part of the primary index.

Which is the first step in performance tuning?

The first step in performance tuning is the use of EXPLAIN on the query. When a query is preceded with the EXPLAIN command, the execution plan of the Parsing Engine is returned to the user instead of AMPs.