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From "Rajkumar Singh (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (HIVE-21861) ClassCastException during CTAS over external table using KafkaStorageHandler
Date Fri, 21 Jun 2019 05:34:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-21861?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Rajkumar Singh reassigned HIVE-21861:
-------------------------------------

    Assignee: Rajkumar Singh

> ClassCastException during CTAS over external table using KafkaStorageHandler
> ----------------------------------------------------------------------------
>
>                 Key: HIVE-21861
>                 URL: https://issues.apache.org/jira/browse/HIVE-21861
>             Project: Hive
>          Issue Type: Bug
>          Components: kafka integration
>    Affects Versions: 4.0.0
>            Reporter: Justin Leet
>            Assignee: Rajkumar Singh
>            Priority: Major
>
> To reproduce, create a table similar to the following:
> {code}
>  CREATE EXTERNAL TABLE <table>
>  (raw_value STRING)
> ROW FORMAT DELIMITED
> LINES TERMINATED BY '\n'
> STORED BY 'org.apache.hadoop.hive.kafka.KafkaStorageHandler'
> TBLPROPERTIES(
>  "kafka.topic"="<kafka_topic>",
>  "kafka.bootstrap.servers"="<bootstrap_servers>",
>  "kafka.consumer.security.protocol"="PLAINTEXT",
>  "kafka.serde.class"="org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe");
> {code}
> Note the SerDe isn't the default SerDe.  Additionally, this error occurs when vectorization
is enabled.
> Basic queries work fine:
> {code}
> SELECT * FROM <table> LIMIT 1;
> {code}
> Doing a CTAS to bring it into a managed table fails:
> {code}
> CREATE TABLE <managed_table> AS
> SELECT * FROM <table>;
> {code}
> The exception is: 
> {code}
> Caused by: java.lang.ClassCastException: org.apache.hadoop.hive.serde2.lazy.LazyString
cannot be cast to org.apache.hadoop.io.TextCaused by: java.lang.ClassCastException: org.apache.hadoop.hive.serde2.lazy.LazyString
cannot be cast to org.apache.hadoop.io.Text at org.apache.hadoop.hive.ql.exec.vector.VectorAssignRow.assignRowColumn(VectorAssignRow.java:471)
at org.apache.hadoop.hive.ql.exec.vector.VectorAssignRow.assignRowColumn(VectorAssignRow.java:350)
at org.apache.hadoop.hive.kafka.VectorizedKafkaRecordReader.readNextBatch(VectorizedKafkaRecordReader.java:159)
at org.apache.hadoop.hive.kafka.VectorizedKafkaRecordReader.next(VectorizedKafkaRecordReader.java:113)
at org.apache.hadoop.hive.kafka.VectorizedKafkaRecordReader.next(VectorizedKafkaRecordReader.java:47)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:360)
... 24 more
> {code}
> A workaround to this is to disable vectorization via: 
> {code}
> set hive.vectorized.execution.enabled = false;
> {code}



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