from the test score and label DF.
>
> But you may prefer to just use spark.ml evaluators, which work with
> DataFrames. Try BinaryClassificationEvaluator.
>
> On Mon, 14 Nov 2016 at 19:30, Bhaarat Sharma <bhaara...@gmail.com> wrote:
>
> I am getting scala.MatchError in the co
use spark.ml evaluators, which work with
DataFrames. Try BinaryClassificationEvaluator.
On Mon, 14 Nov 2016 at 19:30, Bhaarat Sharma <bhaara...@gmail.com> wrote:
I am getting scala.MatchError in the code below. I'm not able to see why
this would be happening. I am using Spark 2.0.1
scala
valuator.
>
> On Mon, 14 Nov 2016 at 19:30, Bhaarat Sharma <bhaara...@gmail.com> wrote:
>
>> I am getting scala.MatchError in the code below. I'm not able to see why
>> this would be happening. I am using Spark 2.0.1
>>
>> scala> testResults.columns
>> res538
com> wrote:
> I am getting scala.MatchError in the code below. I'm not able to see why
> this would be happening. I am using Spark 2.0.1
>
> scala> testResults.columns
> res538: Array[String] = Array(TopicVector, subject_id, hadm_id, isElective,
> isNewborn, isUrgent, is
I am getting scala.MatchError in the code below. I'm not able to see why
this would be happening. I am using Spark 2.0.1
scala> testResults.columns
res538: Array[String] = Array(TopicVector, subject_id, hadm_id,
isElective, isNewborn, isUrgent, isEmergency, isMale, isFemale,
oasis_sc
: Mekal Zheng <mekal.zh...@gmail.com> <mekal.zh...@gmail.com>, spark users
<user@spark.apache.org> <user@spark.apache.org>
主题: Re: scala.MatchError on stand-alone cluster mode
Hi Mekal,
It may be a scala version mismatch error,kindly check whether you are
running both (
The error stack is throwing from your code:
Caused by: scala.MatchError: [Ljava.lang.String;@68d279ec (of class
[Ljava.lang.String;)
at com.jd.deeplog.LogAggregator$.main(LogAggregator.scala:29)
at com.jd.deeplog.LogAggregator.main(LogAggregator.scala)
I think you should debug
pl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at
org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:58)
at
org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)
Caused by: scala.MatchError: [Ljava.lang.String;@68d279ec (of class
[Ljava.l
ari [mailto:vinti.u...@gmail.com]
> *Sent:* 12 March 2016 22:10
> *To:* user
> *Subject:* [MARKETING] Spark Streaming stateful transformation
> mapWithState function getting error scala.MatchError: [Ljava.lang.Object]
>
>
>
> Hi All,
>
> I wanted to replace my upda
://docs.cloud.databricks.com/docs/spark/1.6/index.html#examples/Streaming%20mapWithState.html
but i am getting error *scala.MatchError: [Ljava.lang.Object]*
org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 71.0 failed 4 times, most recent failure: Lost task
0.3 in stage 71.0 (TID 88
": "fantasy"
},
{
"firstName": "Frank",
"lastName": "Peretti",
"genre": "christianfiction"
}
],
"musicians": [
{
"fi
"firstName": "Tad",
> "lastName": "Williams",
> "genre": "fantasy"
> },
> {
> "firstName": "Frank",
> "lastName": "Peretti",
k.vija...@gmail.com> wrote:
>> > Running Windows 8.1, Python 2.7.x, Scala 2.10.5, Spark 1.4.1.
>> >
>> > I'm trying to read in a large quantity of json data in a couple of
>> files and
>> > I receive a scala.MatchError when I do so. Json, Python and stack
gt;
> On Fri, Oct 2, 2015 at 1:42 PM, balajikvijayan
> <balaji.k.vija...@gmail.com> wrote:
> > Running Windows 8.1, Python 2.7.x, Scala 2.10.5, Spark 1.4.1.
> >
> > I'm trying to read in a large quantity of json data in a couple of files
> and
> > I re
ricks.com> wrote:
>>
>>> Could you create a JIRA to track this bug?
>>>
>>> On Fri, Oct 2, 2015 at 1:42 PM, balajikvijayan
>>> <balaji.k.vija...@gmail.com> wrote:
>>> > Running Windows 8.1, Python 2.7.x, Scala 2.10.5, Spark 1.4.1.
>>
and
> I receive a scala.MatchError when I do so. Json, Python and stack trace all
> shown below.
>
> Json:
>
> {
> "dataunit": {
> "page_view": {
> "nonce": 438058072,
> "person": {
>
Running Windows 8.1, Python 2.7.x, Scala 2.10.5, Spark 1.4.1.
I'm trying to read in a large quantity of json data in a couple of files and
I receive a scala.MatchError when I do so. Json, Python and stack trace all
shown below.
Json:
{
"dataunit": {
"page_view":
trying to read in a large quantity of json data in a couple of files
> and
> I receive a scala.MatchError when I do so. Json, Python and stack trace all
> shown below.
>
> Json:
>
> {
> "dataunit": {
> "page_view": {
> "n
-
From: Cheng, Hao [mailto:hao.ch...@intel.com]
Sent: Friday, June 5, 2015 12:35 PM
To: ogoh; user@spark.apache.org
Subject: RE: SparkSQL : using Hive UDF returning Map throws rror:
scala.MatchError: interface java.util.Map (of class java.lang.Class)
(state=,code=0)
Which version of Hive
: using Hive UDF returning Map throws rror:
scala.MatchError: interface java.util.Map (of class java.lang.Class)
(state=,code=0)
Hello,
I tested some custom udf on SparkSql's ThriftServer Beeline (Spark 1.3.1).
Some udfs work fine (access array parameter and returning int or string type
Hive UDF returning Map throws rror:
scala.MatchError: interface java.util.Map (of class java.lang.Class)
(state=,code=0)
Which version of Hive jar are you using? Hive 0.13.1 or Hive 0.12.0?
-Original Message-
From: ogoh [mailto:oke...@gmail.com]
Sent: Friday, June 5, 2015 10:10 AM
Hello,
I tested some custom udf on SparkSql's ThriftServer Beeline (Spark 1.3.1).
Some udfs work fine (access array parameter and returning int or string
type).
But my udf returning map type throws an error:
Error: scala.MatchError: interface java.util.Map (of class java.lang.Class)
(state
Which version of Hive jar are you using? Hive 0.13.1 or Hive 0.12.0?
-Original Message-
From: ogoh [mailto:oke...@gmail.com]
Sent: Friday, June 5, 2015 10:10 AM
To: user@spark.apache.org
Subject: SparkSQL : using Hive UDF returning Map throws rror:
scala.MatchError: interface
Using spark(1.2) streaming to read avro schema based topics flowing in kafka
and then using spark sql context to register data as temp table. Avro maven
plugin(1.7.7 version) generates the java bean class for the avro file but
includes a field named SCHEMA$ of type org.apache.avro.Schema which is
For more details on my question
http://apache-spark-user-list.1001560.n3.nabble.com/How-to-generate-Java-bean-class-for-avro-files-using-spark-avro-project-tp22413.html
Thanks,
Yamini
On Tue, Apr 7, 2015 at 2:23 PM, Yamini Maddirala yamini.m...@gmail.com
wrote:
Hi Michael,
Yes, I did try
Have you looked at spark-avro?
https://github.com/databricks/spark-avro
On Tue, Apr 7, 2015 at 3:57 AM, Yamini yamini.m...@gmail.com wrote:
Using spark(1.2) streaming to read avro schema based topics flowing in
kafka
and then using spark sql context to register data as temp table. Avro maven
Hi Michael,
Yes, I did try spark-avro 0.2.0 databricks project. I am using CHD5.3 which
is based on spark 1.2. Hence I'm bound to use spark-avro 0.2.0 instead of
the latest.
I'm not sure how spark-avro project can help me in this scenario.
1. I have JavaDStream of type avro generic record
tasks
have all completed, from pool
org.apache.spark.SparkException: Job aborted due to stage failure: Task
21.0:0 failed 4 times, most recent failure: Exception failure in TID 34 on
host krbda1anode01.kr.test.com: scala.MatchError: 2.0 (of class
java.lang.Double
Hi,
I am using SparkSQL on 1.1.0 branch.
The following code leads to a scala.MatchError
at
org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:247)
val scm = StructType(inputRDD.schema.fields.init :+
StructField(list,
ArrayType(
StructType
code leads to a scala.MatchError
at
org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:247)
val scm = StructType(inputRDD.schema.fields.init :+
StructField(list,
ArrayType(
StructType(
Seq(StructField(date, StringType, nullable
)
case class Instrument(issue: Issue = null)
-Naveen
From: Michael Armbrust [mailto:mich...@databricks.com]
Sent: Wednesday, November 12, 2014 12:09 AM
To: Xiangrui Meng
Cc: Naveen Kumar Pokala; user@spark.apache.org
Subject: Re: scala.MatchError
Xiangrui is correct that is must be a java bean
)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:483)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:162)
Caused by: scala.MatchError: class sample.spark.test.Issue (of class
java.lang.Class
)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:483)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:162)
Caused by: scala.MatchError: class sample.spark.test.Issue (of class
:43)
at java.lang.reflect.Method.invoke(Method.java:483)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:162)
Caused by: scala.MatchError: class sample.spark.test.Issue (of class
java.lang.Class
I am working with Spark 1.1.0 and I believe Timestamp is a supported data type
for Spark SQL. However I keep getting this MatchError for java.sql.Timestamp
when I try to use reflection to register a Java Bean with Timestamp field.
Anything wrong with my code below?
public
Can you provide the exception stack?
Thanks,
Daoyuan
From: Ge, Yao (Y.) [mailto:y...@ford.com]
Sent: Sunday, October 19, 2014 10:17 PM
To: user@spark.apache.org
Subject: scala.MatchError: class java.sql.Timestamp
I am working with Spark 1.1.0 and I believe Timestamp is a supported data type
scala.MatchError: class java.sql.Timestamp (of class java.lang.Class)
at
org.apache.spark.sql.api.java.JavaSQLContext$$anonfun$getSchema$1.apply(JavaSQLContext.scala:189)
at
org.apache.spark.sql.api.java.JavaSQLContext$$anonfun$getSchema$1.apply
Seems bugs in the JavaSQLContext.getSchema(), which doesn't enumerate all of
the data types supported by Catalyst.
From: Ge, Yao (Y.) [mailto:y...@ford.com]
Sent: Sunday, October 19, 2014 11:44 PM
To: Wang, Daoyuan; user@spark.apache.org
Subject: RE: scala.MatchError: class java.sql.Timestamp
I have created an issue for this
https://issues.apache.org/jira/browse/SPARK-4003
From: Cheng, Hao
Sent: Monday, October 20, 2014 9:20 AM
To: Ge, Yao (Y.); Wang, Daoyuan; user@spark.apache.org
Subject: RE: scala.MatchError: class java.sql.Timestamp
Seems bugs in the JavaSQLContext.getSchema
running job streaming
job 1402245172000 ms.2
scala.MatchError: 0101-01-10 (of class java.lang.String)
at SimpleApp$$anonfun$6$$anonfun$apply$6.apply(SimpleApp.scala:218)
at SimpleApp$$anonfun$6$$anonfun$apply$6.apply(SimpleApp.scala:217)
at
scala.collection.IndexedSeqOptimized
scala.MatchError: 0101-01-10 (of class java.lang.String)
at SimpleApp$$anonfun$6$$anonfun$apply$6.apply(SimpleApp.scala:218)
at SimpleApp$$anonfun$6$$anonfun$apply$6.apply(SimpleApp.scala:217)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33
been a bit of a horror and I need to sleep now. Should I be worried
about these errors? Or did I just have the old log4j.config tuned so I
didn't see them?
I
14/06/08 16:32:52 ERROR scheduler.JobScheduler: Error running job streaming
job 1402245172000 ms.2
scala.MatchError: 0101-01-10 (of class
streaming job 1402245172000 ms.2
scala.MatchError: 0101-01-10 (of class java.lang.String)
at
SimpleApp$$anonfun$6$$anonfun$apply$6.apply(SimpleApp.scala:218)
at
SimpleApp$$anonfun$6$$anonfun$apply$6.apply(SimpleApp.scala:217)
at
scala.collection.IndexedSeqOptimized
On Sun, Jun 8, 2014 at 10:00 AM, Nick Pentreath nick.pentre...@gmail.com
wrote:
When you use match, the match must be exhaustive. That is, a match error
is thrown if the match fails.
Ahh, right. That makes sense. Scala is applying its strong typing rules
here instead of no ceremony... but
Jeremy,
On Mon, Jun 9, 2014 at 10:22 AM, Jeremy Lee
unorthodox.engine...@gmail.com wrote:
When you use match, the match must be exhaustive. That is, a match error
is thrown if the match fails.
Ahh, right. That makes sense. Scala is applying its strong typing rules
here instead of no
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