Yes. I tried that with the hbase-spark package, but it didn’t work. We were hoping it would. If it did, we would be using it for everything from Ad Servers to REST Endpoints and even Reporting Servers. I guess we will have to wait until they fix it.
> On Oct 8, 2016, at 11:05 AM, Felix Cheung <felixcheun...@hotmail.com> wrote: > > Great, then I think those packages as Spark data source should allow you to > do exactly that (replace org.apache.spark.sql.jdbc with HBASE one) > > I do think it will be great to get more examples around this though. Would be > great if you could share your experience with this! > > > _____________________________ > From: Benjamin Kim <bbuil...@gmail.com <mailto:bbuil...@gmail.com>> > Sent: Saturday, October 8, 2016 11:00 AM > Subject: Re: Spark SQL Thriftserver with HBase > To: Felix Cheung <felixcheun...@hotmail.com > <mailto:felixcheun...@hotmail.com>> > Cc: <user@spark.apache.org <mailto:user@spark.apache.org>> > > > Felix, > > My goal is to use Spark SQL JDBC Thriftserver to access HBase tables using > just SQL. I have been able to CREATE tables using this statement below in the > past: > > CREATE TABLE <table-name> > USING org.apache.spark.sql.jdbc > OPTIONS ( > url > "jdbc:postgresql://<hostname>:<port>/dm?user=<username>&password=<password>", > dbtable "dim.dimension_acamp" > ); > > After doing this, I can access the PostgreSQL table using Spark SQL JDBC > Thriftserver using SQL statements (SELECT, UPDATE, INSERT, etc.). I want to > do the same with HBase tables. We tried this using Hive and HiveServer2, but > the response times are just too long. > > Thanks, > Ben > > > On Oct 8, 2016, at 10:53 AM, Felix Cheung <felixcheun...@hotmail.com > <mailto:felixcheun...@hotmail.com>> wrote: > > Ben, > > I'm not sure I'm following completely. > > Is your goal to use Spark to create or access tables in HBASE? If so the link > below and several packages out there support that by having a HBASE data > source for Spark. There are some examples on how the Spark code look like in > that link as well. On that note, you should also be able to use the HBASE > data source from pure SQL (Spark SQL) query as well, which should work in the > case with the Spark SQL JDBC Thrift Server (with > USING,http://spark.apache.org/docs/latest/sql-programming-guide.html#tab_sql_10 > <http://spark.apache.org/docs/latest/sql-programming-guide.html#tab_sql_10>). > > > _____________________________ > From: Benjamin Kim <bbuil...@gmail.com <mailto:bbuil...@gmail.com>> > Sent: Saturday, October 8, 2016 10:40 AM > Subject: Re: Spark SQL Thriftserver with HBase > To: Felix Cheung <felixcheun...@hotmail.com > <mailto:felixcheun...@hotmail.com>> > Cc: <user@spark.apache.org <mailto:user@spark.apache.org>> > > > Felix, > > The only alternative way is to create a stored procedure (udf) in database > terms that would run Spark scala code underneath. In this way, I can use > Spark SQL JDBC Thriftserver to execute it using SQL code passing the key, > values I want to UPSERT. I wonder if this is possible since I cannot CREATE a > wrapper table on top of a HBase table in Spark SQL? > > What do you think? Is this the right approach? > > Thanks, > Ben > > On Oct 8, 2016, at 10:33 AM, Felix Cheung <felixcheun...@hotmail.com > <mailto:felixcheun...@hotmail.com>> wrote: > > HBase has released support for Spark > hbase.apache.org/book.html#spark <http://hbase.apache.org/book.html#spark> > > And if you search you should find several alternative approaches. > > > > > > On Fri, Oct 7, 2016 at 7:56 AM -0700, "Benjamin Kim" <bbuil...@gmail.com > <mailto:bbuil...@gmail.com>> wrote: > > Does anyone know if Spark can work with HBase tables using Spark SQL? I know > in Hive we are able to create tables on top of an underlying HBase table that > can be accessed using MapReduce jobs. Can the same be done using HiveContext > or SQLContext? We are trying to setup a way to GET and POST data to and from > the HBase table using the Spark SQL JDBC thriftserver from our RESTful API > endpoints and/or HTTP web farms. If we can get this to work, then we can load > balance the thriftservers. In addition, this will benefit us in giving us a > way to abstract the data storage layer away from the presentation layer code. > There is a chance that we will swap out the data storage technology in the > future. We are currently experimenting with Kudu. > > Thanks, > Ben > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > <mailto:user-unsubscr...@spark.apache.org> > > > > >
