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https://issues.apache.org/jira/browse/SPARK-18000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhenhua Wang updated SPARK-18000:
---------------------------------
    Description: 
The MapAggregate function Computes frequency for each distinct non-null value 
of a column.
It returns: 1. null if the table is empty or all values of the column are null.
2. (distinct non-null value, frequency) pairs if the number of distinct 
non-null values is
less than or equal to the specified threshold.
3. an empty result if the number of distinct non-null values exceeds that 
threshold.

  was:
For a column, we will generate a equi-width or equi-height histogram, depending 
on if its ndv is large than the maximum number of bins allowed in one histogram 
(denoted as numBins).
The agg function for a column returns bins - (distinct value, frequency) pairs 
of equi-width histogram when the number of distinct values is less than or 
equal to numBins. Otherwise, 1) for column of string type, it returns an empty 
map; 2) for column of numeric type (including DateType and TimestampType), it 
returns endpoints of equi-height histogram - approximate percentiles at 
percentages 0.0, 1/numBins, 2/numBins, ..., (numBins-1)/numBins, 1.0.


> Aggregation function for computing endpoints for histograms
> -----------------------------------------------------------
>
>                 Key: SPARK-18000
>                 URL: https://issues.apache.org/jira/browse/SPARK-18000
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Zhenhua Wang
>
> The MapAggregate function Computes frequency for each distinct non-null value 
> of a column.
> It returns: 1. null if the table is empty or all values of the column are 
> null.
> 2. (distinct non-null value, frequency) pairs if the number of distinct 
> non-null values is
> less than or equal to the specified threshold.
> 3. an empty result if the number of distinct non-null values exceeds that 
> threshold.



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