[
https://issues.apache.org/jira/browse/SPARK-37654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Brandon Dahler updated SPARK-37654:
-----------------------------------
Description:
h2. Description
A NullPointerException occurs in _org.apache.spark.sql.Row.getSeq(int)_ if the
row contains a _null_ value at the requested index.
{code:java}
java.lang.NullPointerException
at org.apache.spark.sql.Row.getSeq(Row.scala:319)
at org.apache.spark.sql.Row.getSeq$(Row.scala:319)
at
org.apache.spark.sql.catalyst.expressions.GenericRow.getSeq(rows.scala:166)
at org.apache.spark.sql.Row.getList(Row.scala:327)
at org.apache.spark.sql.Row.getList$(Row.scala:326)
at
org.apache.spark.sql.catalyst.expressions.GenericRow.getList(rows.scala:166)
...
{code}
Prior to 3.1.1, the code would not throw an exception and instead would return
a null _Seq_ instance.
h2. Reproduction
# Start a new spark-shell instance
# Execute the following script:
{code:scala}
import org.apache.spark.sql.Row
Row(Seq("value")).getSeq(0)
Row(Seq()).getSeq(0)
Row(null).getSeq(0) {code}
h3. Expected Output
res2 outputs a _null_ value.
{code:java}
scala> import org.apache.spark.sql.Row
import org.apache.spark.sql.Row
scala>
scala> Row(Seq("value")).getSeq(0)
res0: Seq[Nothing] = List(value)
scala> Row(Seq()).getSeq(0)
res1: Seq[Nothing] = List()
scala> Row(null).getSeq(0)
res2: Seq[Nothing] = null
{code}
h3. Actual Output
res2 throws a NullPointerException.
{code:java}
scala> import org.apache.spark.sql.Row
import org.apache.spark.sql.Row
scala>
scala> Row(Seq("value")).getSeq(0)
res0: Seq[Nothing] = List(value)
scala> Row(Seq()).getSeq(0)
res1: Seq[Nothing] = List()
scala> Row(null).getSeq(0)
java.lang.NullPointerException
at org.apache.spark.sql.Row.getSeq(Row.scala:319)
at org.apache.spark.sql.Row.getSeq$(Row.scala:319)
at org.apache.spark.sql.catalyst.expressions.GenericRow.getSeq(rows.scala:166)
... 47 elided
{code}
h3. Environments Tested
Tested against the following releases using the provided reproduction steps:
# spark-3.0.3-bin-hadoop2.7 - Succeeded
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.0.3
/_/Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_312)
{code}
# spark-3.1.2-bin-hadoop3.2 - Failed
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.1.2
/_/Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_312)
{code}
# spark-3.2.0-bin-hadoop3.2 - Failed
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.2.0
/_/Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java 1.8.0_312)
{code}
h2. Regression Source
The regression appears to have been introduced in
[25c7d0fe6ae20a4c1c42e0cd0b448c08ab03f3fb|https://github.com/apache/spark/commit/25c7d0fe6ae20a4c1c42e0cd0b448c08ab03f3fb#diff-722324a11a0e4635a59a9debc962da2c1678d86702a9a106fd0d51188f83853bR317],
which addressed [SPARK-32526|https://issues.apache.org/jira/browse/SPARK-32526]
h2. Work Around
This regression can be worked around by using _Row.isNullAt(int)_ and handling
the null scenario in user code, prior to calling _Row.getSeq(int)_ or
_Row.getList(int)_.
was:
h2. Description
A NullPointerException occurs in _org.apache.spark.sql.Row.getSeq(int)_ if the
row contains a _null_ value at the requested index.
{code:java}
java.lang.NullPointerException
at org.apache.spark.sql.Row.getSeq(Row.scala:319)
at org.apache.spark.sql.Row.getSeq$(Row.scala:319)
at
org.apache.spark.sql.catalyst.expressions.GenericRow.getSeq(rows.scala:166)
at org.apache.spark.sql.Row.getList(Row.scala:327)
at org.apache.spark.sql.Row.getList$(Row.scala:326)
at
org.apache.spark.sql.catalyst.expressions.GenericRow.getList(rows.scala:166)
...
{code}
Prior to 3.1.1, the code would not throw an exception and instead would return
a null _Seq_ instance.
h2. Reproduction
# Start a new spark-shell instance
# Execute the following script:
{code:scala}
import org.apache.spark.sql.Row
Row(Seq("value")).getSeq(0)
Row(Seq()).getSeq(0)
Row(null).getSeq(0) {code}
h3. Expected Output
res2 outputs a _null_ value.
{code:java}
scala> import org.apache.spark.sql.Row
import org.apache.spark.sql.Row
scala>
scala> Row(Seq("value")).getSeq(0)
res0: Seq[Nothing] = List(value)
scala> Row(Seq()).getSeq(0)
res1: Seq[Nothing] = List()
scala> Row(null).getSeq(0)
res2: Seq[Nothing] = null
{code}
h3. Actual Output
res2 throws a NullPointerException.
{code:java}
scala> import org.apache.spark.sql.Row
import org.apache.spark.sql.Row
scala>
scala> Row(Seq("value")).getSeq(0)
res0: Seq[Nothing] = List(value)
scala> Row(Seq()).getSeq(0)
res1: Seq[Nothing] = List()
scala> Row(null).getSeq(0)
java.lang.NullPointerException
at org.apache.spark.sql.Row.getSeq(Row.scala:319)
at org.apache.spark.sql.Row.getSeq$(Row.scala:319)
at org.apache.spark.sql.catalyst.expressions.GenericRow.getSeq(rows.scala:166)
... 47 elided
{code}
h3. Environments Tested
Tested against the following releases using the provided reproduction steps:
# spark-3.0.3-bin-hadoop2.7 - Succeeded
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.0.3
/_/Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_312)
{code}
# spark-3.1.2-bin-hadoop3.2 - Failed
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.1.2
/_/Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_312)
{code}
# spark-3.2.0-bin-hadoop3.2 - Failed
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.2.0
/_/Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java 1.8.0_312)
{code}
h2. Regression Source
The regression appears to have been introduced in
[25c7d0fe6ae20a4c1c42e0cd0b448c08ab03f3fb|https://github.com/apache/spark/commit/25c7d0fe6ae20a4c1c42e0cd0b448c08ab03f3fb#diff-722324a11a0e4635a59a9debc962da2c1678d86702a9a106fd0d51188f83853bR317],
which addressed [SPARK-32526|https://issues.apache.org/jira/browse/SPARK-32526]
h2. Work Around
This regression can be worked around by using _Row.isNullAt(int)_ and handling
the null scenario in user code, prior to calling _Row.getSeq(int)_ or
_Row.getList(int)_.
> Regression - NullPointerException in Row.getSeq when field null
> ---------------------------------------------------------------
>
> Key: SPARK-37654
> URL: https://issues.apache.org/jira/browse/SPARK-37654
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.1, 3.1.2, 3.2.0
> Reporter: Brandon Dahler
> Priority: Major
>
> h2. Description
> A NullPointerException occurs in _org.apache.spark.sql.Row.getSeq(int)_ if
> the row contains a _null_ value at the requested index.
> {code:java}
> java.lang.NullPointerException
> at org.apache.spark.sql.Row.getSeq(Row.scala:319)
> at org.apache.spark.sql.Row.getSeq$(Row.scala:319)
> at
> org.apache.spark.sql.catalyst.expressions.GenericRow.getSeq(rows.scala:166)
> at org.apache.spark.sql.Row.getList(Row.scala:327)
> at org.apache.spark.sql.Row.getList$(Row.scala:326)
> at
> org.apache.spark.sql.catalyst.expressions.GenericRow.getList(rows.scala:166)
> ...
> {code}
>
> Prior to 3.1.1, the code would not throw an exception and instead would
> return a null _Seq_ instance.
> h2. Reproduction
> # Start a new spark-shell instance
> # Execute the following script:
> {code:scala}
> import org.apache.spark.sql.Row
> Row(Seq("value")).getSeq(0)
> Row(Seq()).getSeq(0)
> Row(null).getSeq(0) {code}
> h3. Expected Output
> res2 outputs a _null_ value.
> {code:java}
> scala> import org.apache.spark.sql.Row
> import org.apache.spark.sql.Row
> scala>
> scala> Row(Seq("value")).getSeq(0)
> res0: Seq[Nothing] = List(value)
> scala> Row(Seq()).getSeq(0)
> res1: Seq[Nothing] = List()
> scala> Row(null).getSeq(0)
> res2: Seq[Nothing] = null
> {code}
> h3. Actual Output
> res2 throws a NullPointerException.
> {code:java}
> scala> import org.apache.spark.sql.Row
> import org.apache.spark.sql.Row
> scala>
> scala> Row(Seq("value")).getSeq(0)
> res0: Seq[Nothing] = List(value)
> scala> Row(Seq()).getSeq(0)
> res1: Seq[Nothing] = List()
> scala> Row(null).getSeq(0)
> java.lang.NullPointerException
> at org.apache.spark.sql.Row.getSeq(Row.scala:319)
> at org.apache.spark.sql.Row.getSeq$(Row.scala:319)
> at
> org.apache.spark.sql.catalyst.expressions.GenericRow.getSeq(rows.scala:166)
> ... 47 elided
> {code}
> h3. Environments Tested
> Tested against the following releases using the provided reproduction steps:
> # spark-3.0.3-bin-hadoop2.7 - Succeeded
> {code:java}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 3.0.3
> /_/Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java
> 1.8.0_312) {code}
> # spark-3.1.2-bin-hadoop3.2 - Failed
> {code:java}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 3.1.2
> /_/Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java
> 1.8.0_312) {code}
> # spark-3.2.0-bin-hadoop3.2 - Failed
> {code:java}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 3.2.0
> /_/Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java
> 1.8.0_312) {code}
> h2. Regression Source
> The regression appears to have been introduced in
> [25c7d0fe6ae20a4c1c42e0cd0b448c08ab03f3fb|https://github.com/apache/spark/commit/25c7d0fe6ae20a4c1c42e0cd0b448c08ab03f3fb#diff-722324a11a0e4635a59a9debc962da2c1678d86702a9a106fd0d51188f83853bR317],
> which addressed
> [SPARK-32526|https://issues.apache.org/jira/browse/SPARK-32526]
> h2. Work Around
> This regression can be worked around by using _Row.isNullAt(int)_ and
> handling the null scenario in user code, prior to calling _Row.getSeq(int)_
> or _Row.getList(int)_.
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