Re: Spark SQL Thriftserver with HBase

vel of development and different requirements (HBASE release version, Kerberos support etc) _ From: Benjamin Kim <bbuil...@gmail.com<mailto:bbuil...@gmail.com>> Sent: Saturday, October 8, 2016 11:26 AM Subject: Re: Spark SQL Thriftserver with HBase To: Mich Talebzad

Re: Spark SQL Thriftserver with HBase

M, Mich Talebzadeh <mich.talebza...@gmail.com> >>>> wrote: >>>> >>>> Like any other design what is your presentation layer and end users? >>>> >>>> Are they SQL centric users from Tableau background or they may use >>>> spark

Re: Spark SQL Thriftserver with HBase

m such loss, damage or destruction. >>>>>>>>> >>>>>>>>> >>>>>>>>>> On 8 October 2016 at 20:15, Benjamin Kim <bbuil...@gmail.com> wrote: >>>>>>>>>> Mich, >>>>>>>>>> >&

Re: Spark SQL Thriftserver with HBase

tter. Without naming specifics, there are at least 4 or 5 different implementations of HBASE sources, each at varying level of development and different requirements (HBASE release version, Kerberos support etc) _________ From: Benjamin Kim <bbuil...@gmail.com<mai

Re: Spark SQL Thriftserver with HBase

>, "user@spark.apache.org<mailto:user@spark.apache.org>" <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Spark SQL Thriftserver with HBase Instead of (or additionally to) saving results somewhere, you just start a thriftserver that expose the Spark t

Re: Spark SQL Thriftserver with HBase

t;felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>> wrote: I wouldn't be too surprised Spark SQL - JDBC data source - Phoenix JDBC server - HBASE would work better. Without naming specifics, there are at least 4 or 5 different implementations of HBASE sources, each at varying level

Re: Spark SQL Thriftserver with HBase

ts (HBASE release version, Kerberos support etc) _____________ From: Benjamin Kim <bbuil...@gmail.com<mailto:bbuil...@gmail.com>> Sent: Saturday, October 8, 2016 11:26 AM Subject: Re: Spark SQL Thriftserver with HBase To: Mich Talebzadeh <mich.talebza...@gmail.com<ma

Re: Spark SQL Thriftserver with HBase

, by using JDBC everywhere, it simplifies >>>>>>>> and unifies the code on the JDBC industry standard. >>>>>>>> >>>>>>>> Does this make sense? >>>>>>>> >>>>>>>>

Re: Spark SQL Thriftserver with HBase

the same data-center, they will connected to a located database >>>>>> server using JDBC. Either way, by using JDBC everywhere, it simplifies >>>>>> and unifies the code on the JDBC industry standard. >>>>>> >>>>>> Does this make sense? >>>>>> >>>>&

Re: Spark SQL Thriftserver with HBase

2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> <https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* >>> >>> >>> http://talebzadehmich.wordpress.com >>> >>> *Disclaimer:* Use it at your own risk. Any and all responsibility f

Re: Spark SQL Thriftserver with HBase

ibe the use case. > > > > HTH > > > Dr Mich Talebzadeh > > > > LinkedIn * > https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > <https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* > &

Re: Spark SQL Thriftserver with HBase

<bbuil...@gmail.com> Cc: Michael Segel <msegel_had...@hotmail.com>, Jörn Franke <jornfra...@gmail.com>, Mich Talebzadeh <mich.talebza...@gmail.com>, Felix Cheung <felixcheun...@hotmail.com>, "user@spark.apache.org" <user@spark.apache.org> Subject: Re: Spark SQL

Re: Spark SQL Thriftserver with HBase

g JDBC. >>>>> Either way, by using JDBC everywhere, it simplifies and unifies the code >>>>> on >>>>> the JDBC industry standard. >>>>> >>>>> Does this make sense? >>>>> >>>>> Thanks, >>>

Re: Spark SQL Thriftserver with HBase

gt;>> >>>> Like any other design what is your presentation layer and end users? >>>> >>>> Are they SQL centric users from Tableau background or they may use >>>> spark functional programming. >>>> >>>> It is best to describe

Re: Spark SQL Thriftserver with HBase

om >>>>>> <mailto:mich.talebza...@gmail.com>> wrote: >>>>>> >>>>>> Like any other design what is your presentation layer and end users? >>>>>> >>>>>> Are they SQL centric users from Tableau back

Re: Spark SQL Thriftserver with HBase

AWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> <https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* >>> >>> >>> http://talebzadehmich.wordpress.com >>> >>> *Disclaimer:* Use it at your own risk. Any and all responsibility for

Re: Spark SQL Thriftserver with HBase

__ From: Benjamin Kim <bbuil...@gmail.com<mailto:bbuil...@gmail.com>> Sent: Saturday, October 8, 2016 11:26 AM Subject: Re: Spark SQL Thriftserver with HBase To: Mich Talebzadeh <mich.talebza...@gmail.com<mailto:mich.talebza...@gmail.com>> Cc: <us

Re: Spark SQL Thriftserver

Actually this is what it says Connecting to jdbc:hive2://rhes564:10055 Connected to: Spark SQL (version 2.0.0) Driver: Hive JDBC (version 1.2.1.spark2) Transaction isolation: TRANSACTION_REPEATABLE_READ Beeline version 1.2.1.spark2 by Apache Hive So it uses Spark SQL. However, they do not seem

Re: Spark SQL Thriftserver

Hi, all Spark STS just uses HiveContext inside and does not use MR. Anyway, Spark STS misses some HiveServer2 functionalities such as HA (See: https://issues.apache.org/jira/browse/SPARK-11100) and has some known issues there. So, you'd better off checking all the jira issues related to STS for

Re: Spark SQL Thriftserver

Hi AFAIK STS uses Spark SQL and not Map Reduce. Is that not correct? Best Ayan On Wed, Sep 14, 2016 at 8:51 AM, Mich Talebzadeh wrote: > STS will rely on Hive execution engine. My Hive uses Spark execution > engine so STS will pass the SQL to Hive and let it do the

Re: Spark SQL Thriftserver

STS will rely on Hive execution engine. My Hive uses Spark execution engine so STS will pass the SQL to Hive and let it do the work and return the result set which beeline /usr/lib/spark-2.0.0-bin-hadoop2.6/bin/beeline ${SPARK_HOME}/bin/beeline -u jdbc:hive2://rhes564:10055 -n hduser -p

Re: Spark SQL Thriftserver

Mich, It sounds like that there would be no harm in changing then. Are you saying that using STS would still use MapReduce to run the SQL statements? What our users are doing in our CDH 5.7.2 installation is changing the execution engine to Spark when connected to HiveServer2 to get faster

Re: Spark SQL Thriftserver

Hi, Spark Thrift server (STS) still uses hive thrift server. If you look at $SPARK_HOME/sbin/start-thriftserver.sh you will see (mine is Spark 2) function usage { echo "Usage: ./sbin/start-thriftserver [options] [thrift server options]" pattern="usage" *pattern+="\|Spark assembly has been

Re: Spark SQL Thriftserver and Hive UDF in Production

Reece You can do the following. Start the spark-shell. Register the UDFs in the shell using sqlContext, then start the Thrift Server using startWithContext from the spark shell: https://github.com/apache/spark/blob/master/sql/hive-

Re: Spark SQL Thriftserver and Hive UDF in Production

>From tableau, you should be able to use the Initial SQL option to support this: So in Tableau add the following to the “Initial SQL” create function myfunc AS 'myclass' using jar 'hdfs:///path/to/jar'; HTH, Todd On Mon, Oct 19, 2015 at 11:22 AM, Deenar Toraskar

RE: Spark SQL Thriftserver and Hive UDF in Production

Have you tried registering the function using the Beeline client? Another alternative would be to create a Spark SQL UDF and launch the Spark SQL Thrift server programmatically. Mohammed -Original Message- From: ReeceRobinson [mailto:re...@therobinsons.gen.nz] Sent: Sunday, October

Re: Spark SQL ThriftServer Impersonation Support

Thanks Andrew. What version of HS2 is the SparkSQL thrift server using? What would be involved in updating? Is it a simple case of increasing the deep version in one of the project POMs? Cheers, ~N On Sat, May 2, 2015 at 11:38 AM, Andrew Lee alee...@hotmail.com wrote: Hi N, See: