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https://issues.apache.org/jira/browse/SPARK-41118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-41118:
------------------------------------
Assignee: (was: Apache Spark)
> to_number/try_to_number throws NullPointerException when format is null
> -----------------------------------------------------------------------
>
> Key: SPARK-41118
> URL: https://issues.apache.org/jira/browse/SPARK-41118
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.4.0, 3.3.1
> Reporter: Bruce Robbins
> Priority: Minor
>
> Example:
> {noformat}
> spark-sql> SELECT to_number('454', null);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error.
> Please, fill a bug report in, and provide the full stack trace.
> org.apache.spark.SparkException: [INTERNAL_ERROR] The Spark SQL phase
> analysis failed with an internal error. Please, fill a bug report in, and
> provide the full stack trace.
> at
> org.apache.spark.SparkException$.internalError(SparkException.scala:88)
> at
> org.apache.spark.sql.execution.QueryExecution$.toInternalError(QueryExecution.scala:498)
> at
> org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
> ...
> Caused by: java.lang.NullPointerException
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormat$lzycompute(numberFormatExpressions.scala:72)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormat(numberFormatExpressions.scala:72)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormatter$lzycompute(numberFormatExpressions.scala:73)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormatter(numberFormatExpressions.scala:73)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.checkInputDataTypes(numberFormatExpressions.scala:81)
> {noformat}
> Also:
> {noformat}
> spark-sql> SELECT try_to_number('454', null);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error.
> Please, fill a bug report in, and provide the full stack trace.
> org.apache.spark.SparkException: [INTERNAL_ERROR] The Spark SQL phase
> analysis failed with an internal error. Please, fill a bug report in, and
> provide the full stack trace.
> at
> org.apache.spark.SparkException$.internalError(SparkException.scala:88)
> at
> org.apache.spark.sql.execution.QueryExecution$.toInternalError(QueryExecution.scala:498)
> at
> org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
> ...
> Caused by: java.lang.NullPointerException
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormat$lzycompute(numberFormatExpressions.scala:72)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormat(numberFormatExpressions.scala:72)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormatter$lzycompute(numberFormatExpressions.scala:73)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.numberFormatter(numberFormatExpressions.scala:73)
> at
> org.apache.spark.sql.catalyst.expressions.ToNumber.checkInputDataTypes(numberFormatExpressions.scala:81)
> at
> org.apache.spark.sql.catalyst.expressions.TryToNumber.checkInputDataTypes(numberFormatExpressions.scala:146)
> {noformat}
> Compare to {{to_binary}} and {{try_to_binary}}:
> {noformat}
> spark-sql> SELECT to_binary('abc', null);
> NULL
> Time taken: 3.111 seconds, Fetched 1 row(s)
> spark-sql> SELECT try_to_binary('abc', null);
> NULL
> Time taken: 0.06 seconds, Fetched 1 row(s)
> spark-sql>
> {noformat}
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