[jira] [Created] (SPARK-26077) Reserved SQL words are not escaped by JDBC writer for table name

["Eugene Golovan (JIRA)" <ji...@apache.org>]

Eugene Golovan created SPARK-26077:
--------------------------------------

             Summary: Reserved SQL words are not escaped by JDBC writer for table name
                 Key: SPARK-26077
                 URL: https://issues.apache.org/jira/browse/SPARK-26077
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.2
            Reporter: Eugene Golovan


This bug is similar to SPARK-16387 but this time table name is not escaped.

How to reproduce:

1/ Start spark shell with mysql connector

spark-shell --jars ./mysql-connector-java-8.0.13.jar

 

2/ Execute next code
 
import spark.implicits._

(spark
.createDataset(Seq("a","b","c"))
.toDF("order")
.write
.format("jdbc")
.option("url", s"jdbc:mysql://root@localhost:3306/test")
.option("driver", "com.mysql.cj.jdbc.Driver")
.option("dbtable", "condition")
.save)
 
, where condition - is reserved word.
 
Error message:
 
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 'condition (`order` TEXT )' at line 1
 at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:120)
 at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:97)
 at com.mysql.cj.jdbc.exceptions.SQLExceptionsMapping.translateException(SQLExceptionsMapping.java:122)
 at com.mysql.cj.jdbc.StatementImpl.executeUpdateInternal(StatementImpl.java:1355)
 at com.mysql.cj.jdbc.StatementImpl.executeLargeUpdate(StatementImpl.java:2128)
 at com.mysql.cj.jdbc.StatementImpl.executeUpdate(StatementImpl.java:1264)
 at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.createTable(JdbcUtils.scala:844)
 at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:95)
 at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
 at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
 at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
 at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
 at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
 at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:656)
 at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:656)
 at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
 at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:656)
 at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:273)
 at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:267)
 ... 59 elided
 
 
 



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