improvements of this release.
Here are the some of the highlights:
- Support for Apache Spark 3.2
- Exposing new SQL function APIs introduced in Spark 3.2
We would like to thank the community for the great feedback and all those
who contributed to this release.
Thanks,
Terry Kim on behalf of the .NE
PR to support Iceberg tables.
We would like to thank the community for the great feedback and all those
who contributed to this release.
Thanks,
Terry Kim on behalf of the Hyperspace team
Ying,
Can you share a query that produces different results?
Thanks,
Terry
On Sun, Jan 10, 2021 at 1:48 PM Ying Zhou wrote:
> Hi,
>
> I run some SQL using both Hive and Spark. Usually we get the same results.
> However when a window function is in the script Hive and Spark
nd all those
who contributed to this release.
Thanks,
Terry Kim on behalf of the Hyperspace team
- Support for all the complex types in Spark SQL
- Support for Delta Lake <https://github.com/delta-io/delta> v0.7 and
Hyperspace <https://github.com/microsoft/hyperspace> v0.2
We would like to thank the community for the great feedback and all those
who contributed to this release
on($"c")
.explain()
// Exiting paste mode, now interpreting.
== Physical Plan ==
*(1) Project [a#7, b#8 AS c#11]
+- Exchange hashpartitioning(b#8, 200), false, [id=#12]
+- LocalTableScan [a#7, b#8]
Thanks,
Terry
On Tue, Aug 4, 2020 at 6:26 AM Antoine Wendlinger
wrote:
"spark.sql.broadcastTimeout" is the config you can use:
https://github.com/apache/spark/blob/fe07521c9efd9ce0913eee0d42b0ffd98b1225ec/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L863
Thanks,
Terry
On Mon, Jul 20, 2020 at 11:20 AM Amit Sharma wrote:
>
4.6 (3.0 support is on the way!)
- SparkSession.CreateDataFrame, Broadcast variable
- Preliminary support for MLLib (TF-IDF, Word2Vec, Bucketizer, etc.)
- Support for .NET Core 3.1
We would like to thank all those who contributed to this release.
Thanks,
Terry Kim on behalf of the .NET for Apache Spark™ team
-an-indexing-subsystem-for-apache-spark
- Docs: https://aka.ms/hyperspace
This project would not have been possible without the outstanding work from
the Apache Spark™ community. Thank you everyone and we look forward to
collaborating with the community towards evolving Hyperspace.
Thanks,
Terry Kim
ocation: InMemoryFileIndex[file:/], PartitionFilters: [],
PushedFilters: [IsNotNull(x), IsNotNull(y)], ReadSchema:
struct, SelectedBucketsCount: 8 out of 8
On Sun, May 31, 2020 at 2:38 PM Patrick Woody
wrote:
> Hey Terry,
>
> Thanks for the response! I'm not sure that it ends up working
You can use bucketBy to avoid shuffling in your scenario. This test suite
has some examples:
https://github.com/apache/spark/blob/45cf5e99503b00a6bd83ea94d6d92761db1a00ab/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala#L343
Thanks,
Terry
On Sun, May 31, 2020 at 7:43
ARK-30094> and
will follow up.
Thanks,
Terry
On Sun, Dec 1, 2019 at 7:12 PM xufei wrote:
> Hi,
>
> I'm trying to write a catalog plugin based on spark-3.0-preview, and I
> found even when I use 'use catalog.namespace' to set the current catalog
> and namespace, I still need to
- Support for Spark 2.3.4/2.4.4
The release notes
<https://github.com/dotnet/spark/blob/master/docs/release-notes/0.5/release-0.5.md>
include
the full list of features/improvements of this release.
We would like to thank all those who contributed to this release.
Thanks,
Terry
Can the following be included?
[SPARK-27234][SS][PYTHON] Use InheritableThreadLocal for current epoch in
EpochTracker (to support Python UDFs)
<https://github.com/apache/spark/pull/24946>
Thanks,
Terry
On Tue, Aug 13, 2019 at 10:24 PM Wenchen Fan wrote:
> +1
>
> On Wed, Aug 14
oading
- Local UDF debugging
The release notes
<https://github.com/dotnet/spark/blob/master/docs/release-notes/0.4/release-0.4.md>
include the full list of features/improvements of this release.
We would like to thank all those who contributed to this release.
Thanks,
Terry
.
Regards
- Terry
Maybe not enough continues memory (10G?) in your host
Regards,
- Terry
On Wed, Sep 7, 2016 at 10:51 AM, Divya Gehlot <divya.htco...@gmail.com>
wrote:
> Hi,
> I am using EMR 4.7 with Spark 1.6
> Sometimes when I start the spark shell I get below error
>
> OpenJDK 64-Bit Se
Kevin,
Try to create the StreamingContext as following:
val ssc = new StreamingContext(spark.sparkContext, Seconds(2))
On Tue, Jul 26, 2016 at 11:25 AM, kevin wrote:
> hi,all:
> I want to read data from kafka and regist as a table then join a jdbc
> table.
> My
hero,
Did you check whether there is any exception after retry? If the port is 0,
the spark worker should bind to a random port. BTW, what's the spark
version?
Regards,
- Terry
On Mon, Jun 13, 2016 at 4:24 PM, hero <super_big_h...@sina.com> wrote:
> Hi, guys
>
> I have anothe
Maybe the same issue with SPARK_6847
<https://issues.apache.org/jira/browse/SPARK-6847>, which has been fixed in
spark 2.0
Regards
- Terry
On Mon, Jun 13, 2016 at 3:15 PM, Michel Hubert <mich...@phact.nl> wrote:
>
>
> I’ve found my problem.
>
>
>
> I’
submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Regards
- Terry
Yes, the data is stored in driver memory.
Mehdi Ben Haj Abbes <mehdi.ab...@gmail.com>于2016年1月29日星期五 18:13写道:
> Thanks Terry for the quick answer.
>
> I did not tried it. Lets say I will increase the value to 2, what
> side effect should I expect. In fact in the explanati
Hi Mehdi,
Do you try a larger value of "spark.streaming.ui.retainedBatches"(default
is 1000)?
Regards,
- Terry
On Fri, Jan 29, 2016 at 5:45 PM, Mehdi Ben Haj Abbes <mehdi.ab...@gmail.com>
wrote:
> Hi folks,
>
> I have a streaming job running for mor
state.
Regards,
-Terry
On Sat, Jan 16, 2016 at 6:20 AM, Shixiong(Ryan) Zhu <shixi...@databricks.com
> wrote:
> Hey Terry,
>
> That's expected. If you want to only output (1, 3), you can use
> "reduceByKey" before "mapWithState" like this:
>
> dstream.redu
ems with the same key
"1": (1,1) and (1,3), is this expected behavior? I would expect (1,3) only.
Regards
- Terry
kip these batches or to speed up the catch up
processing?*
Thanks!
Terry
LListener has about 1K entries), is this a leak in SQLListener?
Thanks!
Terry
Hi Prateek,
How many cores (threads) do you assign to spark in local mode? It is very
likely the local spark does not have enough resource to proceed. You can
check http://yourip:4040 to check the details.
Thanks!
Terry
On Fri, Oct 9, 2015 at 10:34 PM, Prateek . <prat...@aricent.com>
Saif,
Might be you can rename one of the dataframe to different name first, then
do an outer join and a select like this:
val cur_d = cur_data.toDF("Date_1", "Value_1")
val r = data.join(cur_d, data("DATE" === cur_d("Date_1",
"outer").select($&q
I met this before: in my program, some DStreams are not initialized since
they are not in the path of of output.
You can check if you are the same case.
Thanks!
- Terry
On Fri, Sep 25, 2015 at 10:22 AM, Tathagata Das <t...@databricks.com> wrote:
> Are you by any chanc
Hao,
For spark 1.4.1, you can try this:
val rowrdd = df.rdd.map(r => Row(Row(r(3)), Row(r(0), r(1), r(2
val newDF = sqlContext.createDataFrame(rowrdd, yourNewSchema)
Thanks!
- Terry
On Wed, Sep 16, 2015 at 2:10 AM, Hao Wang <billhao.l...@gmail.com> wrote:
> Hi,
>
> I c
= {
val na = NominalAttribute.defaultAttr.withValues("0", "1")
na.toMetadata(m)
}
val newSchema = StructType(schema.map(f => if (f.name == "label")
f.copy(metadata=enrich(f.metadata)) else f))
val model = pipeline.fit(sqlContext.createDataFrame(rowRDD, newSchem
Xiangrui,
Do you have any idea how to make this work?
Thanks
- Terry
Terry Hole <hujie.ea...@gmail.com>于2015年9月6日星期日 17:41写道:
> Sean
>
> Do you know how to tell decision tree that the "label" is a binary or set
> some attributes to dataframe to carry number of cl
at $iwC$$iwC$$iwC.(:72)
at $iwC$$iwC.(:74)
at $iwC.(:76)
at (:78)
at .(:82)
at .()
at .(:7)
at .()
at $print()
Thanks!
- Terry
On Sun, Sep 6, 2015 at 4:53 PM, Sean Owen <so...@cloudera.com> wrote:
> I think somewhere alone
Sean
Do you know how to tell decision tree that the "label" is a binary or set
some attributes to dataframe to carry number of classes?
Thanks!
- Terry
On Sun, Sep 6, 2015 at 5:23 PM, Sean Owen <so...@cloudera.com> wrote:
> (Sean)
> The error suggests that the type is n
Hi,
i'm using Spark 1.4.1.
Here is de printSchema after load my json file:
root
|-- result: struct (nullable = true)
||-- negative_votes: long (nullable = true)
||-- players: array (nullable = true)
||||-- account_id: long (nullable = true)
||||-- assists:
Ricky,
You may need to use map instead of flatMap in your case
*val rowRDD=sc.textFile(/user/spark/short_model).map(_.split(\\t)).map(p
= Row(...))*
Thanks!
-Terry
On Fri, Aug 28, 2015 at 5:08 PM, our...@cnsuning.com our...@cnsuning.com
wrote:
hi all,
when using spark sql ,A problem
Jack,
You can refer the hive sql syntax if you use HiveContext:
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML
Thanks!
-Terry
That works! Thanks.
Can I ask you one further question?
How did spark sql support insertion?
That is say, if I did:
sqlContext.sql(insert
Maybe you can try: spark-submit --class sparkwithscala.SqlApp --jars
/home/lib/mysql-connector-java-5.1.34.jar --master spark://hadoop1:7077
/home/myjar.jar
Thanks!
-Terry
Hi there,
I would like to use spark to access the data in mysql. So firstly I tried
to run the program using
.
Thanks!
- Terry
Ted Yu yuzhih...@gmail.com于2015年7月17日周五 下午12:02写道:
See this recent thread:
http://search-hadoop.com/m/q3RTtFW7iMDkrj61/Spark+shell+oom+subj=java+lang+OutOfMemoryError+PermGen+space
On Jul 16, 2015, at 8:51 PM, Terry Hole hujie.ea...@gmail.com wrote:
Hi,
Background
\Local\Temp\spark-2ad09490-c0c6-41e2-addb-63087ce0ae63'
but it is not a directory
That entry seems to have slain the compiler. Shall I replayyour session? I
can re-run each line except the last one.[y/n]
Abandoning crashed session.
Thanks!
-Terry
Hi, Hunter,
*What **behavior do you see with the HDFS? The local file system and HDFS
should have the same ** behavior.*
*Thanks!*
*- Terry*
Hunter Morgan hunter.mor...@rackspace.com于2015年7月16日周四 上午2:04写道:
After moving the setting of the parameter to SparkConf initialization
instead
://issues.apache.org/jira/browse/SPARK-3276
-Terry
On Tue, Jul 14, 2015 at 4:44 AM, automaticgiant hunter.mor...@rackspace.com
wrote:
It's not as odd as it sounds. I want to ensure that long streaming job
outages can recover all the files that went into a directory while the job
was down.
I've looked
Michael,
Thanks
- Terry
Michael Armbrust mich...@databricks.com于2015年7月11日星期六 04:02写道:
Metastore configuration should be set in hive-site.xml.
On Thu, Jul 9, 2015 at 8:59 PM, Terry Hole hujie.ea...@gmail.com wrote:
Hi,
I am trying to set the hive metadata destination to a mysql database
()*
*Thanks!*
*-Terry*
and creating a new one?
Thanks
Best Regards
On Wed, Jul 8, 2015 at 8:12 PM, Terry Hole hujie.ea...@gmail.com wrote:
I am using spark 1.4.1rc1 with default hive settings
Thanks
- Terry
Hi All,
I'd like to use the hive context in spark shell, i need to recreate the
hive meta database in the same
(jdbc:derby:;shutdown=true);
Thanks!
- Terry
I am using spark 1.4.1rc1 with default hive settings
Thanks
- Terry
Hi All,
I'd like to use the hive context in spark shell, i need to recreate the
hive meta database in the same location, so i want to close the derby
connection previous created in the spark shell, is there any way to do
Found this a bug in spark 1.4.0: SPARK-8368
https://issues.apache.org/jira/browse/SPARK-8368
Thanks!
Terry
On Thu, Jul 2, 2015 at 1:20 PM, Terry Hole hujie.ea...@gmail.com wrote:
All,
I am using spark console 1.4.0 to do some tests, when a create a newly
HiveContext (Line 18 in the code
###);ssc.stop(false, true); duration = 0; isRun = false} }}33
ssc.awaitTermination()34 println( Streaming context
terminated.)35 }36 37 streamingTest(null)38
Thanks
Terry
,Whatever), underneath i think
spark won't ship properties which don't start with spark.* to the executors.
Thanks
Best Regards
On Mon, May 11, 2015 at 8:33 AM, Terry Hole hujie.ea...@gmail.com wrote:
Hi all,
I'd like to monitor the akka using kamon, which need to set the
akka.extension
Hi all,
I'd like to monitor the akka using kamon, which need to set the
akka.extension to a list like this in typesafe config format:
akka {
extensions = [kamon.system.SystemMetrics, kamon.statsd.StatsD]
}
But i can not find a way to do this, i have tried these:
1.
Hi all,
I'd like to monitor the akka using kamon, which need to set the
akka.extension to a list like this in typesafe config format:
akka {
extensions = [kamon.system.SystemMetrics, kamon.statsd.StatsD]
}
But i can not find a way to do this, i have tried these:
1.
Hi all,
I'd like to monitor the akka using kamon, which need to set the
akka.extension to a list like this in typesafe config format:
akka {
extensions = [kamon.system.SystemMetrics, kamon.statsd.StatsD]
}
But i can not find a way to do this, i have tried these:
1.
Use this in spark conf: spark.ui.showConsoleProgress=false
Best Regards,
On Fri, Apr 24, 2015 at 11:23 AM, Henry Hung ythu...@winbond.com wrote:
Dear All,
When using spark 1.3.0 spark-submit with directing out and err to a log
file, I saw some strange lines inside that looks like this:
- Terry
What version of Spark are you using? Did you compile your Spark version
and if so, what compile options did you use?
On 11/6/14, 9:22 AM, tridib tridib.sama...@live.com wrote:
Help please!
--
View this message in context:
?
From: Tridib Samanta tridib.sama...@live.commailto:tridib.sama...@live.com
Date: Thursday, November 6, 2014 at 9:49 AM
To: Terry Siu terry@smartfocus.commailto:terry@smartfocus.com,
u...@spark.incubator.apache.orgmailto:u...@spark.incubator.apache.org
u...@spark.incubator.apache.orgmailto:u
above, it completed without any errors.
I’m wondering what sort of benefit there is to include the -Phive-0.13.1
profile into the build as it looks like there’s some shaded jar action going on.
Thanks,
-Terry
this morning and now the
same query will give me a MatchError for this column of string type.
Thanks,
-Terry
Thanks, Kousuke. I’ll wait till this pull request makes it into the master
branch.
-Terry
From: Kousuke Saruta
saru...@oss.nttdata.co.jpmailto:saru...@oss.nttdata.co.jp
Date: Monday, November 3, 2014 at 11:11 AM
To: Terry Siu terry@smartfocus.commailto:terry@smartfocus.com,
user
Done.
https://issues.apache.org/jira/browse/SPARK-4213
Thanks,
-Terry
From: Michael Armbrust mich...@databricks.commailto:mich...@databricks.com
Date: Monday, November 3, 2014 at 1:37 PM
To: Terry Siu terry@smartfocus.commailto:terry@smartfocus.com
Cc: user@spark.apache.orgmailto:user
not find MemLimitLogger anywhere in the Spark code. Anybody else
seen/encounter this?
Thanks,
-Terry
Thanks for the update, Shivaram.
-Terry
On 10/31/14, 12:37 PM, Shivaram Venkataraman
shiva...@eecs.berkeley.edu wrote:
Yeah looks like https://github.com/apache/spark/pull/2744 broke the
build. We will fix it soon
On Fri, Oct 31, 2014 at 12:21 PM, Terry Siu terry@smartfocus.com
wrote:
I
an
Unresolved attributes error back. Is there any way around this short of
renaming the columns in the join sources?
Thanks
-Terry
Michael Armbrust wrote
Yes, but if both tagCollection and selectedVideos have a column named id
then Spark SQL does not know which one you are referring to in the where
Just to follow up, the queries worked against master and I got my whole flow
rolling. Thanks for the suggestion! Now if only Spark 1.2 will come out with
the next release of CDH5 :P
-Terry
From: Terry Siu terry@smartfocus.commailto:terry@smartfocus.com
Date: Monday, October 20, 2014
Hi Yin,
Sorry for the delay, but I’ll try the code change when I get a chance, but
Michael’s initial response did solve my problem. In the meantime, I’m hitting
another issue with SparkSQL which I will probably post another message if I
can’t figure a workaround.
Thanks,
-Terry
From: Yin
source tables.
Help?
Thanks,
-Terry
Hi Michael,
Thanks again for the reply. Was hoping it was something I was doing wrong in
1.1.0, but I’ll try master.
Thanks,
-Terry
From: Michael Armbrust mich...@databricks.commailto:mich...@databricks.com
Date: Monday, October 20, 2014 at 12:11 PM
To: Terry Siu terry
. Let me know if you need more
information.
Thanks
-Terry
From: Yin Huai huaiyin@gmail.commailto:huaiyin@gmail.com
Date: Tuesday, October 14, 2014 at 6:29 PM
To: Terry Siu terry@smartfocus.commailto:terry@smartfocus.com
Cc: Michael Armbrust mich...@databricks.commailto:mich
Hi Michael,
That worked for me. At least I’m now further than I was. Thanks for the tip!
-Terry
From: Michael Armbrust mich...@databricks.commailto:mich...@databricks.com
Date: Monday, October 13, 2014 at 5:05 PM
To: Terry Siu terry@smartfocus.commailto:terry@smartfocus.com
Cc: user
defined. Does this error look familiar to anyone? Could my usage of
SparkSQL with Hive be incorrect or is support with Hive/Parquet/partitioning
still buggy at this point in Spark 1.1.0?
Thanks,
-Terry
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