从数据库中读取时出现Spark MySQL错误

时间:2018-01-06 10:04:01

标签: mysql scala apache-spark dataframe

我有以下代码:

Try {
  Context.sc.sqlContext.read.jdbc(url, tableName, prop)
} match {
  case Success(df) =>
    log.info(s"$tableName successfully read from $schemaName with this connection: $url")
    df
  case Failure(exception) =>
    log.error(s"$tableName >> $schemaName connection url >> $url")
    log.error(s"Error reading $tableName from $schemaName with this connection: $url :: Error Message is ${exception.getMessage}")
    throw exception
}

当我运行它时,我得到以下异常:

com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: 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 '-analytics-d.t_dim_sap_manufacturers WHERE 1=0' at line 1
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
        at com.mysql.jdbc.Util.handleNewInstance(Util.java:425)
        at com.mysql.jdbc.Util.getInstance(Util.java:408)
        at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:943)
        at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3973)
        at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3909)
        at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2527)
        at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2680)
        at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2487)
        at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1858)
        at com.mysql.jdbc.PreparedStatement.executeQuery(PreparedStatement.java:1966)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:62)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:114)
        at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:45)
        at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:330)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:125)
        at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:166)
        at com.eon.adp.substations.factory.TableFactory$$anonfun$1.apply(TableFactory.scala:42)
        at com.eon.adp.substations.factory.TableFactory$$anonfun$1.apply(TableFactory.scala:42)
        at scala.util.Try$.apply(Try.scala:192)
....
....
....
....

可以看出错误信息:

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 '-analytics-d.t_dim_sap_manufacturers WHERE 1=0' at line 1

架构名称haw-analytics-d被截断。我想这与MySQL生成日志的方式有关,或者

当我尝试打印我传入的Schema和表名时,我的应用程序正确地解析了它们:

TableName = haw-analytics-d.t_dim_sap_manufacturers :: SchemaName haw-analytics-d :: connection url >> jdbc:mysql://my.datbase.server:3306/haw-analytics-d?useSSL=true&requireSSL=true

如何查看SparkContext生成的SQL?我可以告诉API将生成的SQL语句打印到控制台吗?有什么想法吗?

1 个答案:

答案 0 :(得分:1)

  

架构名称haw-analytics-d被截断。我想这与MySQL生成日志的方式有关,或者

我无法使用Spark 2.2.1 / MySQL Connector / J 5.1.45重现这个问题,所以它看起来像是你使用的特定组合中的一个bug,但是是的 - 你是在用脚射击自己使用带连字符的名称。

如果由于某种原因无法更新组件,可以尝试从URL中删除数据库名称:

jdbc:mysql://my.datbase.server:3306/?useSSL=true&requireSSL=true

并用查询替换tableName,使用反引号转义模式名称:

val tableName = "(SELECT * FROM `haw-analytics-d`.t_dim_sap_manufacturers) AS t"