@Hao,Because the querying joined more than one table, if I register data frame
as temp table, Spark can't disguise which table is correct. I don't how to set
dbtable and register temp table.
Any suggestion?
On Friday, May 15, 2015 1:38 PM, "Cheng, Hao" <[email protected]> wrote:
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div.yiv0864379581WordSection1 {}#yiv0864379581 You need to register the
“dataFrame” as a table first and then do queries on it? Do you mean that also
failed? From: Yi Zhang [mailto:[email protected]]
Sent: Friday, May 15, 2015 1:10 PM
To: Yi Zhang; Dev
Subject: Re: Does Spark SQL (JDBC) support nest select with current version
If I pass the whole statement as dbtable to sqlContext.load() method as below:
val query =
"""
(select t1._salory as salory,
|t1._name as employeeName,
|(select _name from mock_locations t3 where t3._id = t1._location_id ) as
locationName
|from mock_employees t1
|inner join mock_locations t2
|on t1._location_id = t2._id
|where t1._salory > t2._max_price) EMP
""".stripMargin
val dataFrame = sqlContext.load("jdbc", Map(
"url" -> url,
"driver" -> "com.mysql.jdbc.Driver",
"dbtable" -> query
)) It works. However, I can't invoke sql() method to solve this problem. And
why? On Friday, May 15, 2015 11:33 AM, Yi Zhang
<[email protected]> wrote: The sql statement is like this: select
t1._salory as salory,
t1._name as employeeName,
(select _name from mock_locations t3 where t3._id = t1._location_id ) as
locationName
from mock_employees t1
inner join mock_locations t2
on t1._location_id = t2._id
where t1._salory > t2._max_price I noticed the issue [SPARK-4226] SparkSQL -
Add support for subqueries in predicates - ASF JIRA is still in the progress.
And somebody commented it that Spark 1.3 would support it. So I don't know
current status for this feature. Thanks. Regards, Yi
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| [SPARK-4226] SparkSQL - Add support for subqueries in predicates - ASF JIRA
java.lang.RuntimeException: Unsupported language features in query: select
customerid from sparkbug where customerid in (select customerid from sparkbug
where customerid in (2,3)) TOK_QUERY TOK_FROM TOK_TABREF TOK_TABNAME sparkbug
TOK_INSERT TOK_DE... | |
| | |
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