Ed Lee created SPARK-20617:
------------------------------
Summary: pyspark.sql, isin when columns contain null
Key: SPARK-20617
URL: https://issues.apache.org/jira/browse/SPARK-20617
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 2.2.0
Environment: Ubuntu Xenial 16.04
Reporter: Ed Lee
Hello encountered a filtering bug using 'isin' in pyspark sql on version 2.2.0,
Ubuntu 16.04.
Enclosed below an example to replicate:
import pandas as pd
test_df = pd.DataFrame({"col1": [None, None, "a", "b", "c"],
"col2": range(5)
})
test_sdf = spark.createDataFrame(test_df)
test_sdf.show()
# +----+----+
# |col1|col2|
# +----+----+
# |null| 0|
# |null| 1|
# | a| 2|
# | b| 3|
# | c| 4|
# +----+----+
# Below shows null is considered 'isin' the list ["a"]:
test_sdf.filter(sf.col("col1").isin(["a"]) == False).show()
Or:
test_sdf.filter(~sf.col("col1").isin(["a"])).show()
#Expecting
# +----+----+
# |col1|col2|
# +----+----+
# |null| 0|
# |null| 1|
# | b| 3|
# | c| 4|
# +----+----+
# Got:
# +----+----+
# |col1|col2|
# +----+----+
# | b| 3|
# | c| 4|
# +----+----+
# My workarounds:
# 1.
# null is considered 'in', so add OR isNull conditon!
test_sdf.filter((sf.col("col1").isin(["a"])== False) | (
sf.col("col1").isNull())).show()
# 2. Use left join and filter
join_df = pd.DataFrame({"col1": ["a"],
"isin": 1
})
join_sdf = spark.createDataFrame(join_df)
test_sdf.join(join_sdf, on="col1", how="left") \
.filter(sf.col("isin").isNull()) \
.show()
# +----+----+----+
# |col1|col2|isin|
# +----+----+----+
# |null| 0|null|
# |null| 1|null|
# | c| 4|null|
# | b| 3|null|
# +----+----+----+
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