Skew Factor refers to the row distribution of table among the AMPs. If the data is highly skewed, it means some AMPs are having more rows and some very less. Means data is not evenly distributed. It affects the Teradata's performance. The data distribution or skewness can be controlled by choosing indexes.
There is no particular range for skew factor. It is suggested to keep skew factor between 5-10.
The factors which impact the skew factor.
- Number of AMPS
- PI of a table
- Number of records in a table
- Size of row in a table
Query to calculate skew factor =>
SELECT databasename,
tablename,
100 * (1 - (AVG(currentperm) / MAX(currentperm))) skew_factor
FROM dbc.tablesize
GROUP BY 1,2
ORDER BY 1,2;
There is no particular range for skew factor. It is suggested to keep skew factor between 5-10.
The factors which impact the skew factor.
- Number of AMPS
- PI of a table
- Number of records in a table
- Size of row in a table
Query to calculate skew factor =>
SELECT databasename,
tablename,
100 * (1 - (AVG(currentperm) / MAX(currentperm))) skew_factor
FROM dbc.tablesize
GROUP BY 1,2
ORDER BY 1,2;
Thanks for Information Teradata is a Relational Database Management System (RDBMS) for the world’s largest commercial databases. Teradata can store data upto Teradata bytes in size. This makes the Teradata as a market leader in data warehousing applications. Teradata Online Training
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