You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@hive.apache.org by "Stamatis Zampetakis (Jira)" <ji...@apache.org> on 2022/10/04 16:20:00 UTC

[jira] [Commented] (HIVE-26591) libthrift 0.14.0 onwards doesn't works with Hive (All versions)

    [ https://issues.apache.org/jira/browse/HIVE-26591?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17612669#comment-17612669 ] 

Stamatis Zampetakis commented on HIVE-26591:
--------------------------------------------

The latest Hive release is 4.0.0-alpha-1. Does the problem exist there as well?

> libthrift 0.14.0 onwards doesn't works with Hive (All versions)
> ---------------------------------------------------------------
>
>                 Key: HIVE-26591
>                 URL: https://issues.apache.org/jira/browse/HIVE-26591
>             Project: Hive
>          Issue Type: Bug
>          Components: Hive, Metastore
>    Affects Versions: 1.2.2, 2.3.7, 2.3.9
>            Reporter: Pratik Malani
>            Assignee: Navis Ryu
>            Priority: Critical
>             Fix For: 3.1.3, 4.0.0
>
>         Attachments: image-2022-10-03-19-51-20-052.png, image-2022-10-03-19-55-16-030.png
>
>
> libthrift:0.13.0 is affected with [CVE-2020-13949|https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13949]
> Currently I am using Spark 3.3.0 and Hive 2.3.9 with Hadoop 3.3.4.
> When we do an upgrade to use libthrift:0.14.0 and above jar, below exception is thrown while starting the Spark Thriftserver.
> {noformat}
> org.apache.hive.service.ServiceException: Failed to Start HiveServer2
>         at org.apache.hive.service.CompositeService.start(CompositeService.java:79)
>         at org.apache.hive.service.server.HiveServer2.start(HiveServer2.java:104)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2.start(HiveThriftServer2.scala:154)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2$.startWithContext(HiveThriftServer2.scala:64)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2$.main(HiveThriftServer2.scala:104)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2.main(HiveThriftServer2.scala)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:498)
>         at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
>         at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
>         at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
>         at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
>         at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
>         at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
>         at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
>         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: java.lang.NoSuchMethodError: org.apache.thrift.server.TThreadPoolServer$Args.requestTimeout(I)Lorg/apache/thrift/server/TThreadPoolServer$Args;
>         at org.apache.hive.service.cli.thrift.ThriftBinaryCLIService.initializeServer(ThriftBinaryCLIService.java:101)
>         at org.apache.hive.service.cli.thrift.ThriftCLIService.start(ThriftCLIService.java:176)
>         at org.apache.hive.service.CompositeService.start(CompositeService.java:69)
>         at org.apache.hive.service.server.HiveServer2.start(HiveServer2.java:104)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2.start(HiveThriftServer2.scala:154)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2$.startWithContext(HiveThriftServer2.scala:64)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2$.main(HiveThriftServer2.scala:104)
>         at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2.main(HiveThriftServer2.scala)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:498)
>         at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
>         at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
>         at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
>         at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
>         at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
>         at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
>         at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
>         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {noformat}
> After detailed investigation, found out that since 0.14.0 version, in class org.apache.thrift.server.TThreadPoolServer, requestTimeout property has been removed.
>  
> [https://jar-download.com/artifacts/org.apache.thrift/libthrift/0.13.0/source-code/org/apache/thrift/server/TThreadPoolServer.java]
> Below code snippet is from libthrift:0.13.0, but the below mentioned attributes have been removed from libthrift:0.14.0 onwards.
> !image-2022-10-03-19-55-16-030.png|width=428,height=88!
>  
> Even in latest hive release (3.1.3), it is still referencing to the requestTimeout attribute has been removed.
> [https://jar-download.com/artifacts/org.apache.hive/hive-service/3.1.3/source-code/org/apache/hive/service/cli/thrift/ThriftBinaryCLIService.java]
> !image-2022-10-03-19-51-20-052.png|width=769,height=98!
> Can we have any alternative approach or any fix version for the above mentioned issue



--
This message was sent by Atlassian Jira
(v8.20.10#820010)