Hello Vaibhav, Sorry for the delay in getting back to you on this. We now have an up and running test cluster with a hive server I can “crash at will”. I have been able to reproduce the crash on this new server by following the steps mentioned below; I will now try to grab a heap dump.
In the meantime, I have observed that Hiverserver crashes * after * the Map/Reduce job has completed successfully. Something in the “gymnastic” of returning the rows to RStudio through RJDBC makes it crash. Such a crash does not happen on other JDBC clients; I have tried out several: SQuirreL, SQL Workbench/J, Aqua Data Studio, etc. They all work fine with hiveserver2 through JDBC. Again, thank you very for your patience and for your collaboration; I’ll return shortly with the heap dump. Best regards, -- Nathalie From: Nathalie Blais Sent: 25 septembre 2014 13:57 To: 'user@hive.apache.org' Subject: RE: Hiveserver2 crash with RStudio (using RJDBC) Hello Vaibhav, Thanks a lot for your quick response! I will grab a heapdump as soon as I have “the ok to crash the server” and attach it to this thread. In the meantime, regarding our metastore, it looks like it is remote (excerpt from our hive-site.xml below): <property> <name>hive.metastore.local</name> <value>false</value> </property> <property> <name>hive.metastore.uris</name> <value>thrift://server_name:9083</value> </property> <property> <name>hive.metastore.client.socket.timeout</name> <value>300</value> </property> <property> <name>hive.metastore.warehouse.dir</name> <value>/user/hive/warehouse</value> </property> <property> <name>hive.warehouse.subdir.inherit.perms</name> <value>true</value> </property> On a side note, the forum might have received my inquiry several times. I had a bit of trouble sending it and I retried a few times; please disregard any dupes of this request. Thanks! -- Nathalie From: Vaibhav Gumashta [mailto:vgumas...@hortonworks.com] Sent: 25 septembre 2014 03:52 To: user@hive.apache.org<mailto:user@hive.apache.org> Subject: Re: Hiveserver2 crash with RStudio (using RJDBC) Nathalie, Can you grab a heapdump at the time the server crashes (export this to your environment: HADOOP_CLIENT_OPTS="-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=<give-your-path-here> $HADOOP_CLIENT_OPTS".)? What type of metastore are you using with HiveServer2 - embedded (if you specify -hiveconf hive.metastore.uris=" " in the HiveServer2 startup command, it uses embedded metastore) or remote? Thanks, --Vaibhav On Mon, Sep 22, 2014 at 10:55 AM, Nathalie Blais <nathalie.bl...@ubisoft.com<mailto:nathalie.bl...@ubisoft.com>> wrote: Hello, We are currently experiencing a severe reproducible hiveserver2 crash when using the RJDBC connector in RStudio (please refer to the description below for the detailed test case). We have a hard time pinpointing the source of the problem and we are wondering whether this is a known issue or we have a glitch in our configuration; we would sincerely appreciate your input on this case. Case Severe Hiveserver2 crash when returning “a certain” volume of data (really not that big) to RStudio through RJDBC Config Versions Hadoop Distribution: Cloudera – cdh5.0.1p0.47 Hiverserver2: 0.12 RStudio: 0.98.1056 RJDBC: 0.2-4 How to Reproduce 1. In a SQL client application (Aqua Data Studio was used for the purpose of this example), create Hive test table a. create table test_table_connection_crash(col1 string); 2. Load data into table (data file attached) a. LOAD DATA INPATH '/user/test/testFile.txt' INTO TABLE test_table_connection_crash; 3. Verify row count a. select count(*) nbRows from test_table_connection_crash; b. 720 000 rows 4. Display all rows a. select * from test_table_connection_crash order by col1 desc b. All the rows are returned by the Map/Reduce to the client and displayed properly in the interface 5. Open RStudio 6. Create connection to Hive a. library(RJDBC) b. drv <- JDBC(driverClass="org.apache.hive.jdbc.HiveDriver", classPath=list.files("D:/myJavaDriversFolderFromClusterInstall/", pattern="jar$", full.names=T), identifier.quote="`") c. conn <- dbConnect(drv, "jdbc:hive2://server_name:10000/default;ssl=true;sslTrustStore=C:/Progra~1/Java/jdk1.7.0_60/jre/lib/security/cacerts;trustStorePassword=pswd", "user", "password") 7. Verify connection with a small query a. r <- dbGetQuery(conn, "select * from test_table_connection_crash order by col1 desc limit 100") b. print(r) c. 100 rows are returned to RStudio and properly displayed in the console interface 8. Remove the limit and try the original query (as performed in the SQL client application) a. r <- dbGetQuery(conn, "select * from test_table_connection_crash order by col1 desc") b. Query starts running c. *** Cluster crash *** Worst comes to worst, in the eventuality that RStudio desktop client cannot handle such an amount of data, we might expect the desktop application to crash; not the whole hiveserver2. Please let us know whether or not you are aware of any issues of the kind. Also, please do not hesitate to request any configuration file you might need to examine. Thank you very much! Best regards, Nathalie [dna_signature] Nathalie Blais B.I. Developer | Technology Group Ubisoft Montreal CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. 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