[亚马逊]（500310）操作无效：断言

  • Z时代
  • 2024-01-10
  • 分类：问答

我正在使用spark-redshift和查询使用pyspark进行处理的redshift数据。[亚马逊]（500310）操作无效：断言

查询工作正常，如果我在使用工作台等红移运行。但spark-redshift卸载数据到s3，然后检索它，它会引发以下错误，当我运行它。什么是这里的问题，我怎么能解决这个

UNLOAD ('SELECT “x”,”y" FROM (select x,y from table_name where 
((load_date=20171226 and hour>=16) or (load_date between 20171227 and 
20171226) or (load_date=20171227 and hour<=16))) ') TO ‘s3:s3path' WITH 
CREDENTIALS ‘aws_access_key_id=xxx;aws_secret_access_key=yyy' ESCAPE 
MANIFEST

：

py4j.protocol.Py4JJavaError: An error occurred while calling o124.save. 
: java.sql.SQLException: [Amazon](500310) Invalid operation: Assert 
Details: 
----------------------------------------------- 
    error: Assert 
    code:  1000 
    context: !AmLeaderProcess - 
    query:  583860 
    location: scheduler.cpp:642 
    process: padbmaster [pid=31521] 
    -----------------------------------------------; 
    at com.amazon.redshift.client.messages.inbound.ErrorResponse.toErrorException(ErrorResponse.java:1830) 
    at com.amazon.redshift.client.PGMessagingContext.handleErrorResponse(PGMessagingContext.java:822) 
    at com.amazon.redshift.client.PGMessagingContext.handleMessage(PGMessagingContext.java:647) 
    at com.amazon.jdbc.communications.InboundMessagesPipeline.getNextMessageOfClass(InboundMessagesPipeline.java:312) 
    at com.amazon.redshift.client.PGMessagingContext.doMoveToNextClass(PGMessagingContext.java:1080) 
    at com.amazon.redshift.client.PGMessagingContext.getErrorResponse(PGMessagingContext.java:1048) 
    at com.amazon.redshift.client.PGClient.handleErrorsScenario2ForPrepareExecution(PGClient.java:2524) 
    at com.amazon.redshift.client.PGClient.handleErrorsPrepareExecute(PGClient.java:2465) 
    at com.amazon.redshift.client.PGClient.executePreparedStatement(PGClient.java:1420) 
    at com.amazon.redshift.dataengine.PGQueryExecutor.executePreparedStatement(PGQueryExecutor.java:370) 
    at com.amazon.redshift.dataengine.PGQueryExecutor.execute(PGQueryExecutor.java:245) 
    at com.amazon.jdbc.common.SPreparedStatement.executeWithParams(Unknown Source) 
    at com.amazon.jdbc.common.SPreparedStatement.execute(Unknown Source) 
    at com.databricks.spark.redshift.JDBCWrapper$$anonfun$executeInterruptibly$1.apply(RedshiftJDBCWrapper.scala:108) 
    at com.databricks.spark.redshift.JDBCWrapper$$anonfun$executeInterruptibly$1.apply(RedshiftJDBCWrapper.scala:108) 
    at com.databricks.spark.redshift.JDBCWrapper$$anonfun$2.apply(RedshiftJDBCWrapper.scala:126) 
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24) 
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24) 
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) 
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) 
Caused by: com.amazon.support.exceptions.ErrorException: [Amazon](500310) Invalid operation: Assert

它获取生成的查询。

回答：

断言错误通常发生在解释数据类型时出错，例如查询的union查询的两部分，其中一列中的第N列是varchar，而另一部分中的同一列是整数或null。也许你的断言错误发生在来自不同节点的数据上（就像在联合查询中一样）。尝试为每列添加明确的数据格式，如x::integer

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