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https://issues.apache.org/jira/browse/SPARK-53877?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uros Stojkovic updated SPARK-53877:
-----------------------------------
Description:
Introduce a function analogous to bitmap_or_agg, but performing a bitwise AND
operation instead of OR.
Specifically, the bitmap_and_agg function should output a bitmap that
represents the bitwise AND of all bitmaps in the input column. The input column
must contain bitmaps generated from bitmap_construct_agg().
Example:
{code:java}
>>> from pyspark.sql import functions as sf
>>> df = spark.createDataFrame([("30",),("70",),("F0",)], ["a"])
>>> df.select(sf.bitmap_and_agg(sf.to_binary(df.a, sf.lit("hex")))).show()
+--------------------------------+
|bitmap_and_agg(to_binary(a, hex))|
+--------------------------------+
| [30 00 00 00 00 0...|
+--------------------------------+{code}
was:
Introduce a function analogous to bitmap_or_agg, but performing a bitwise AND
operation instead of OR.
Specifically, the bitmap_and_agg function should output a bitmap that
represents the bitwise AND of all bitmaps in the input column. The input column
must contain bitmaps generated from bitmap_construct_agg().
Example:
{code:java}
>>> from pyspark.sql import functions as sf
>>> df = spark.createDataFrame([("30",),("70",),("F0",)], ["a"])
>>> df.select(sf.bitmap_and_agg(sf.to_binary(df.a, sf.lit("hex")))).show()
+--------------------------------+
|bitmap_and_agg(to_binary(a, hex))|
+--------------------------------+
| [30 00 00 00 00 0...|
+--------------------------------+{code}
> Add bitmap_and_agg aggregation function
> ---------------------------------------
>
> Key: SPARK-53877
> URL: https://issues.apache.org/jira/browse/SPARK-53877
> Project: Spark
> Issue Type: New Feature
> Components: Documentation, PySpark, SQL
> Affects Versions: 4.1.0
> Reporter: Uros Stojkovic
> Priority: Major
> Labels: pull-request-available
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> Introduce a function analogous to bitmap_or_agg, but performing a bitwise AND
> operation instead of OR.
> Specifically, the bitmap_and_agg function should output a bitmap that
> represents the bitwise AND of all bitmaps in the input column. The input
> column must contain bitmaps generated from bitmap_construct_agg().
> Example:
> {code:java}
> >>> from pyspark.sql import functions as sf
> >>> df = spark.createDataFrame([("30",),("70",),("F0",)], ["a"])
> >>> df.select(sf.bitmap_and_agg(sf.to_binary(df.a, sf.lit("hex")))).show()
> +--------------------------------+
> |bitmap_and_agg(to_binary(a, hex))|
> +--------------------------------+
> | [30 00 00 00 00 0...|
> +--------------------------------+{code}
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