that sparksql doesn't support
> several joins together.
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-more-than-two-tables-for-join-tp13865p15848.html
> Sent from the Apache Spark User List mailin
run(Thread.java:745)
I use spark 1.1.0, so I have an impression that sparksql doesn't support
several joins together.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-more-than-two-tables-for-join-tp13865p15848.html
Sent from the Apache Spa
.run(Thread.java:745)
I have an impression that sparksql doesn't support more than two joins
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-more-than-two-tables-for-join-tp13865p15847.html
Sent from the Apache Spark User List mail
--
> boyingk...@163.com
>
> *From:* Michael Armbrust
> *Date:* 2014-09-11 00:28
> *To:* arthur.hk.c...@gmail.com
> *CC:* arunshell87 ; u...@spark.incubator.apache.org
> *Subject:* Re: Spark SQL -- more than two tables for join
>What version of Spark SQL are you running
main(SparkSQLHBaseRelation.scala:140)
at
org.apache.spark.examples.sql.SparkSQLHBaseRelation.main(SparkSQLHBaseRelation.scala)
boyingk...@163.com
From: Michael Armbrust
Date: 2014-09-11 00:28
To: arthur.hk.c...@gmail.com
CC: arunshell87; u...@spark.incubator.apache.org
Subject: Re: Spark SQL -- more than two tables for join
What version of Spark
What version of Spark SQL are you running here? I think a lot of your
concerns have likely been addressed in more recent versions of the code /
documentation. (Spark 1.1 should be published in the next few days)
In particular, for serious applications you should use a HiveContext and
HiveQL as t
in
>> Feb-2015.
>>
>> I believe you can try HiveQL in Spark for your requirement.
>>
>> Thanks,
>> Arun
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.10
requirement.
>
> Thanks,
> Arun
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-more-than-two-tables-for-join-tp13865p13877.html
> Sent fro
Spark for your requirement.
Thanks,
Arun
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-more-than-two-tables-for-join-tp13865p13877.html
Sent from the Apache Spark User List mailing list archive at Nabble.com
Hi:
I Hava a question about Spark SQL。
First ,i use left join on two tables,like this:
sql("SELECT * FROM youhao_data left join youhao_age on
(youhao_data.rowkey=youhao_age.rowkey)").collect().foreach(println)
the result is my except。
But,when i use left join on three tables or more ,like this:
10 matches
Mail list logo