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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2025/01/16 07:57:00 UTC
[jira] [Resolved] (SPARK-50792) Format binary data as a binary literal in JDBC.
[ https://issues.apache.org/jira/browse/SPARK-50792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-50792.
---------------------------------
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49452
[https://github.com/apache/spark/pull/49452]
> Format binary data as a binary literal in JDBC.
> -----------------------------------------------
>
> Key: SPARK-50792
> URL: https://issues.apache.org/jira/browse/SPARK-50792
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 4.0.0, 3.4.4, 3.5.4
> Reporter: Xiaoguang Sun
> Assignee: Xiaoguang Sun
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> The binary data is not handled to format it as binary literal in JDBC connectors
> These are the steps to reproduce.
> 1. CREATE TABLE test_binary_literal(b BINARY);
> 2. INSERT INTO test_binary_literal VALUES(x'010203');
> 3. SELECT * FROM test_binary_literal WHERE b=x'010203';
> And it fails with this error.
> {code:java}
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:96)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1137)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1146)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: java.sql.SQLSyntaxErrorException: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near "[B@94a7828) "
> at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:120)
> at com.mysql.cj.jdbc.exceptions.SQLExceptionsMapping.translateException(SQLExceptionsMapping.java:122)
> at com.mysql.cj.jdbc.ClientPreparedStatement.executeInternal(ClientPreparedStatement.java:953)
> at com.mysql.cj.jdbc.ClientPreparedStatement.executeQuery(ClientPreparedStatement.java:1003)
> at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:287)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:374)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:338)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:374)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:338)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:374)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:338)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
> at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:171)
> at org.apache.spark.scheduler.Task.run(Task.scala:146)
> at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$6(Executor.scala:658)
> at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:80)
> at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:77)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:661)
> at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
> at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
> at java.base/java.lang.Thread.run(Thread.java:1583)
> {code}
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