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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/10/12 08:18:00 UTC
[jira] [Assigned] (SPARK-17074) generate equi-height histogram for
column
[ https://issues.apache.org/jira/browse/SPARK-17074?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-17074:
------------------------------------
Assignee: (was: Apache Spark)
> generate equi-height histogram for column
> -----------------------------------------
>
> Key: SPARK-17074
> URL: https://issues.apache.org/jira/browse/SPARK-17074
> Project: Spark
> Issue Type: Sub-task
> Components: Optimizer
> Affects Versions: 2.0.0
> Reporter: Ron Hu
>
> Equi-height histogram is effective in handling skewed data distribution.
> For equi-height histogram, the heights of all bins(intervals) are the same. The default number of bins we use is 254.
> Now we use a two-step method to generate an equi-height histogram:
> 1. use percentile_approx to get percentiles (end points of the equi-height bin intervals);
> 2. use a new aggregate function to get distinct counts in each of these bins.
> Note that this method takes two table scans. In the future we may provide other algorithms which need only one table scan.
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