ot;sum"))
But in my scenario, I'd better use sql syntax in SqlContext to support rollup
it seems like what HqlContext does. Any suggestion?
Thanks.
Regards,Yi Zhang
he support, just in case you can patch it in your own branch. In Spark
2.0, the simple SQL Parser will be replaced by HQL Parser, so it will not be
the problem then. Hao From: Yi Zhang [mailto:zhangy...@yahoo.com.INVALID]
Sent: Wednesday, December 30, 2015 11:41 AM
To: User
Subject: Does S
I am not sure what happen. According to your snapshot, it just shows warning
message instead of error. But I suggest you can try to use maven with: mvn
idea:idea.
On Monday, May 25, 2015 2:48 PM, huangzheng 1106944...@qq.com wrote:
!--#yiv0816328792 _filtered #yiv0816328792
:72.0pt 90.0pt 72.0pt 90.0pt;}#yiv2822675239
div.yiv2822675239WordSection1 {}#yiv2822675239 Spark SQL just take the JDBC as
a new data source, the same as we need to support loading data from a .csv or
.json. From: Yi Zhang [mailto:zhangy...@yahoo.com.INVALID]
Sent: Friday, May 15, 2015 2:30 PM
span.yiv2190097982EmailStyle27 {color:#1F497D;}#yiv2190097982
.yiv2190097982MsoChpDefault {font-size:10.0pt;} _filtered #yiv2190097982
{margin:72.0pt 90.0pt 72.0pt 90.0pt;}#yiv2190097982
div.yiv2190097982WordSection1 {}#yiv2190097982 Yes. From: Yi Zhang
[mailto:zhangy...@yahoo.com]
Sent: Friday, May 15, 2015
Hi all,
I run start-master.sh to start standalone Spark with
spark://192.168.1.164:7077. Then, I use this command as below, and it's
OK:./bin/spark-shell --master spark://192.168.1.164:7077
The console print correct message, and Spark context had been initialised
correctly.
However, when I run
Hi All,
Comparing direct access via JDBC, what's the advantage features of Spark
SQL(JDBC) to access external data source?
Any tips are welcome! Thanks.
Regards,Yi
?
On Friday, May 15, 2015 4:06 PM, Yi Zhang zhangy...@yahoo.com.INVALID
wrote:
Hi all,
I run start-master.sh to start standalone Spark with
spark://192.168.1.164:7077. Then, I use this command as below, and it's
OK:./bin/spark-shell --master spark://192.168.1.164:7077
The console print correct
Hi all,
I wanted to join the data frame based on spark sql in IntelliJ, and wrote these
code lines as below:df1.as('first).join(df2.as('second), $first._1 ===
$second._1)
IntelliJ reported the error for $ and === in red colour.
I found $ and === are defined as implicit conversion in
I am trying to query PostgreSQL using LIMIT(n) to reduce memory size and
improve query performance, but I found it took long time as same as querying
not using LIMIT. It let me confused. Anybody know why?
Thanks.
Regards,Yi
, at 15:52, Yi Zhang zhangy...@yahoo.com.INVALID wrote:
I am trying to query PostgreSQL using LIMIT(n) to reduce memory size and
improve query performance, but I found it took long time as same as querying
not using LIMIT. It let me confused. Anybody know why?
Thanks.
Regards,Yi
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