I am able to connect to MySQL Hive metastore from the client cluster machine.
-sh-4.1$ mysql --user=hiveuser --password=pass --host= hostname.vip.company.com Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 9417286 Server version: 5.5.12-eb-5.5.12-log MySQL-eb 5.5.12, Revision 3492 Copyright (c) 2000, 2011, Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> use eBayHDB; Reading table information for completion of table and column names You can turn off this feature to get a quicker startup with -A Database changed mysql> show tables; +---------------------------+ | Tables_in_HDB | +---------------------------+ Regards, Deepak On Sat, Mar 28, 2015 at 12:35 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> wrote: > Yes am using yarn-cluster and i did add it via --files. I get "Suitable > error not found error" > > Please share the spark-submit command that shows mysql jar containing > driver class used to connect to Hive MySQL meta store. > > Even after including it through > > --driver-class-path > /home/dvasthimal/spark1.3/mysql-connector-java-5.1.34.jar > OR (AND) > --jars /home/dvasthimal/spark1.3/mysql-connector-java-5.1.34.jar > > I keep getting "Suitable driver not found for" > > > Command > ======== > > ./bin/spark-submit -v --master yarn-cluster --driver-class-path > */home/dvasthimal/spark1.3/mysql-connector-java-5.1.34.jar*:/apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar:/apache/hadoop/lib/hadoop-lzo-0.6.0.jar:/apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/yarn/lib/guava-11.0.2.jar > --jars > /home/dvasthimal/spark1.3/spark-avro_2.10-1.0.0.jar,/home/dvasthimal/spark1.3/spark-1.3.0-bin-hadoop2.4/lib/datanucleus-api-jdo-3.2.6.jar,/home/dvasthimal/spark1.3/spark-1.3.0-bin-hadoop2.4/lib/datanucleus-core-3.2.10.jar,/home/dvasthimal/spark1.3/spark-1.3.0-bin-hadoop2.4/lib/datanucleus-rdbms-3.2.9.jar, > */home/dvasthimal/spark1.3/mysql-connector-java-5.1.34.ja*r --files > $SPARK_HOME/conf/hive-site.xml --num-executors 1 --driver-memory 4g > --driver-java-options "-XX:MaxPermSize=2G" --executor-memory 2g > --executor-cores 1 --queue hdmi-express --class > com.ebay.ep.poc.spark.reporting.SparkApp spark_reporting-1.0-SNAPSHOT.jar > startDate=2015-02-16 endDate=2015-02-16 > input=/user/dvasthimal/epdatasets/successdetail1/part-r-00000.avro > subcommand=successevents2 output=/user/dvasthimal/epdatasets/successdetail2 > Logs > ==== > > Caused by: java.sql.SQLException: No suitable driver found for > jdbc:mysql://hostname:3306/HDB > at java.sql.DriverManager.getConnection(DriverManager.java:596) > at java.sql.DriverManager.getConnection(DriverManager.java:187) > at com.jolbox.bonecp.BoneCP.obtainRawInternalConnection(BoneCP.java:361) > at com.jolbox.bonecp.BoneCP.<init>(BoneCP.java:416) > ... 68 more > ... > ... > > 15/03/27 23:56:08 INFO yarn.Client: Uploading resource > file:/home/dvasthimal/spark1.3/mysql-connector-java-5.1.34.jar -> > hdfs://apollo-NN:8020/user/dvasthimal/.sparkStaging/application_1426715280024_119815/mysql-connector-java-5.1.34.jar > > ... > > ... > > > > -sh-4.1$ jar -tvf ../mysql-connector-java-5.1.34.jar | grep Driver > 61 Fri Oct 17 08:05:36 GMT-07:00 2014 META-INF/services/java.sql.Driver > 3396 Fri Oct 17 08:05:22 GMT-07:00 2014 > com/mysql/fabric/jdbc/FabricMySQLDriver.class > * 692 Fri Oct 17 08:05:22 GMT-07:00 2014 com/mysql/jdbc/Driver.class* > 1562 Fri Oct 17 08:05:20 GMT-07:00 2014 > com/mysql/jdbc/NonRegisteringDriver$ConnectionPhantomReference.class > 17817 Fri Oct 17 08:05:20 GMT-07:00 2014 > com/mysql/jdbc/NonRegisteringDriver.class > 690 Fri Oct 17 08:05:24 GMT-07:00 2014 > com/mysql/jdbc/NonRegisteringReplicationDriver.class > 731 Fri Oct 17 08:05:24 GMT-07:00 2014 > com/mysql/jdbc/ReplicationDriver.class > 336 Fri Oct 17 08:05:24 GMT-07:00 2014 org/gjt/mm/mysql/Driver.class > You have new mail in /var/spool/mail/dvasthimal > -sh-4.1$ cat conf/hive-site.xml | grep Driver > <name>javax.jdo.option.ConnectionDriverName</name> > * <value>com.mysql.jdbc.Driver</value>* > <description>Driver class name for a JDBC metastore</description> > -sh-4.1$ > > -- > Deepak > > > On Sat, Mar 28, 2015 at 1:06 AM, Michael Armbrust <mich...@databricks.com> > wrote: > >> Are you running on yarn? >> >> - If you are running in yarn-client mode, set HADOOP_CONF_DIR to >> /etc/hive/conf/ (or the directory where your hive-site.xml is located). >> - If you are running in yarn-cluster mode, the easiest thing to do is to >> add--files=/etc/hive/conf/hive-site.xml (or the path for your >> hive-site.xml) to your spark-submit script. >> >> On Fri, Mar 27, 2015 at 5:42 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> >> wrote: >> >>> I can recreate tables but what about data. It looks like this is a >>> obvious feature that Spark SQL must be having. People will want to >>> transform tons of data stored in HDFS through Hive from Spark SQL. >>> >>> Spark programming guide suggests its possible. >>> >>> >>> Spark SQL also supports reading and writing data stored in Apache Hive >>> <http://hive.apache.org/>. .... Configuration of Hive is done by >>> placing your hive-site.xml file in conf/. >>> >>> https://spark.apache.org/docs/1.3.0/sql-programming-guide.html#hive-tables >>> >>> For some reason its not working. >>> >>> >>> On Fri, Mar 27, 2015 at 3:35 PM, Arush Kharbanda < >>> ar...@sigmoidanalytics.com> wrote: >>> >>>> Seems Spark SQL accesses some more columns apart from those created by >>>> hive. >>>> >>>> You can always recreate the tables, you would need to execute the table >>>> creation scripts but it would be good to avoid recreation. >>>> >>>> On Fri, Mar 27, 2015 at 3:20 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> >>>> wrote: >>>> >>>>> I did copy hive-conf.xml form Hive installation into spark-home/conf. >>>>> IT does have all the meta store connection details, host, username, >>>>> passwd, >>>>> driver and others. >>>>> >>>>> >>>>> >>>>> Snippet >>>>> ====== >>>>> >>>>> >>>>> <configuration> >>>>> >>>>> <property> >>>>> <name>javax.jdo.option.ConnectionURL</name> >>>>> <value>jdbc:mysql://host.vip.company.com:3306/HDB</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>javax.jdo.option.ConnectionDriverName</name> >>>>> <value>com.mysql.jdbc.Driver</value> >>>>> <description>Driver class name for a JDBC metastore</description> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>javax.jdo.option.ConnectionUserName</name> >>>>> <value>hiveuser</value> >>>>> <description>username to use against metastore database</description> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>javax.jdo.option.ConnectionPassword</name> >>>>> <value>some-password</value> >>>>> <description>password to use against metastore database</description> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>hive.metastore.local</name> >>>>> <value>false</value> >>>>> <description>controls whether to connect to remove metastore server >>>>> or open a new metastore server in Hive Client JVM</description> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>hive.metastore.warehouse.dir</name> >>>>> <value>/user/hive/warehouse</value> >>>>> <description>location of default database for the >>>>> warehouse</description> >>>>> </property> >>>>> >>>>> ...... >>>>> >>>>> >>>>> >>>>> When i attempt to read hive table, it does not work. dw_bid does not >>>>> exists. >>>>> >>>>> I am sure there is a way to read tables stored in HDFS (Hive) from >>>>> Spark SQL. Otherwise how would anyone do analytics since the source tables >>>>> are always either persisted directly on HDFS or through Hive. >>>>> >>>>> >>>>> On Fri, Mar 27, 2015 at 1:15 PM, Arush Kharbanda < >>>>> ar...@sigmoidanalytics.com> wrote: >>>>> >>>>>> Since hive and spark SQL internally use HDFS and Hive metastore. The >>>>>> only thing you want to change is the processing engine. You can try to >>>>>> bring your hive-site.xml to %SPARK_HOME%/conf/hive-site.xml.(Ensure that >>>>>> the hive site xml captures the metastore connection details). >>>>>> >>>>>> Its a hack, i havnt tried it. I have played around with the >>>>>> metastore and it should work. >>>>>> >>>>>> On Fri, Mar 27, 2015 at 12:04 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> I have few tables that are created in Hive. I wan to transform data >>>>>>> stored in these Hive tables using Spark SQL. Is this even possible ? >>>>>>> >>>>>>> So far i have seen that i can create new tables using Spark SQL >>>>>>> dialect. However when i run show tables or do desc hive_table it says >>>>>>> table >>>>>>> not found. >>>>>>> >>>>>>> I am now wondering is this support present or not in Spark SQL ? >>>>>>> >>>>>>> -- >>>>>>> Deepak >>>>>>> >>>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> >>>>>> [image: Sigmoid Analytics] >>>>>> <http://htmlsig.com/www.sigmoidanalytics.com> >>>>>> >>>>>> *Arush Kharbanda* || Technical Teamlead >>>>>> >>>>>> ar...@sigmoidanalytics.com || www.sigmoidanalytics.com >>>>>> >>>>> >>>>> >>>>> >>>>> -- >>>>> Deepak >>>>> >>>>> >>>> >>>> >>>> -- >>>> >>>> [image: Sigmoid Analytics] >>>> <http://htmlsig.com/www.sigmoidanalytics.com> >>>> >>>> *Arush Kharbanda* || Technical Teamlead >>>> >>>> ar...@sigmoidanalytics.com || www.sigmoidanalytics.com >>>> >>> >>> >>> >>> -- >>> Deepak >>> >>> >> > > > -- > Deepak > > -- Deepak
