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From ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com>
Subject Re: Can spark sql read existing tables created in hive
Date Mon, 30 Mar 2015 14:24:47 GMT
Hello Lian
Can you share the URL ?

On Mon, Mar 30, 2015 at 6:12 PM, Cheng Lian <lian.cs.zju@gmail.com> wrote:

>  The "mysql" command line doesn't use JDBC to talk to MySQL server, so
> this doesn't verify anything.
>
> I think this Hive metastore installation guide from Cloudera may be
> helpful. Although this document is for CDH4, the general steps are the
> same, and should help you to figure out the relationships here.
>
> Cheng
>
>
> On 3/30/15 3:33 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote:
>
>  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 (๏̯͡๏) <deepujain@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 <michael@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 (๏̯͡๏) <deepujain@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 <
>>>> arush@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 (๏̯͡๏) <deepujain@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 <
>>>>>> arush@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 (๏̯͡๏) <deepujain@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
>>>>>>>
>>>>>>> arush@sigmoidanalytics.com || www.sigmoidanalytics.com
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>>   --
>>>>>>  Deepak
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>>  --
>>>>>
>>>>> [image: Sigmoid Analytics]
>>>>> <http://htmlsig.com/www.sigmoidanalytics.com>
>>>>>
>>>>> *Arush Kharbanda* || Technical Teamlead
>>>>>
>>>>> arush@sigmoidanalytics.com || www.sigmoidanalytics.com
>>>>>
>>>>
>>>>
>>>>
>>>>   --
>>>>  Deepak
>>>>
>>>>
>>>
>>
>>
>>   --
>>  Deepak
>>
>>
>
>
>  --
>  Deepak
>
>
>


-- 
Deepak

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