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Posted to user@cassandra.apache.org by 赵升/赵荣生 <ro...@qq.com> on 2016/11/01 01:41:43 UTC
"java.io.IOError: java.io.EOFException: EOF after 13889 bytes out of 460861" occured when I query from a table
Hi, all
I hava a problem. I create a table named "tblA" in c* and create a materialized view name viewA on tblA. I run spark job to processing data from 'viewA'.
In the beginning, it works well. But in the next day, the spark job failed. And when I select data from the 'viewA' and 'tblA' using cql, it throw the follwing exception.
query from viewA:
"ServerError: <ErrorMessage code=0000 [Server error] message="java.lang.ArrayIndexOutOfBoundsException">"
and query from tblA:
"ServerError: <ErrorMessage code=0000 [Server error] message="java.io.IOError: java.io.EOFException: EOF after 13889 bytes out of 460861">"
My system version is :
Cassandra 3.7 + spark1.6.2 + Spark Cassandra Connector 1.6
If anyone know about this problem? Look forward to your reply.
Thanks
回复:"java.io.IOError: java.io.EOFException: EOF after 13889 bytes out of 460861" occured when I query from a table
Posted by 赵升/赵荣生 <ro...@qq.com>.
the stackStrace is:
------------------ 原始邮件 ------------------
发件人: "赵升/赵荣生";<ro...@qq.com>;
发送时间: 2016年11月1日(星期二) 上午9:41
收件人: "user"<us...@cassandra.apache.org>;
主题: "java.io.IOError: java.io.EOFException: EOF after 13889 bytes out of 460861" occured when I query from a table
Hi, all
I hava a problem. I create a table named "tblA" in c* and create a materialized view name viewA on tblA. I run spark job to processing data from 'viewA'.
In the beginning, it works well. But in the next day, the spark job failed. And when I select data from the 'viewA' and 'tblA' using cql, it throw the follwing exception.
query from viewA:
"ServerError: <ErrorMessage code=0000 [Server error] message="java.lang.ArrayIndexOutOfBoundsException">"
and query from tblA:
"ServerError: <ErrorMessage code=0000 [Server error] message="java.io.IOError: java.io.EOFException: EOF after 13889 bytes out of 460861">"
My system version is :
Cassandra 3.7 + spark1.6.2 + Spark Cassandra Connector 1.6
If anyone know about this problem? Look forward to your reply.
Thanks