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Posted to user@ignite.apache.org by Saikat Maitra <sa...@gmail.com> on 2018/07/16 02:45:23 UTC
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Hello Ray,
I have fixed the issue related to Flink IgniteSink. Please take a look on
the changes [https://github.com/samaitra/ignite/blob/IGNITE-8697/
modules/flink/src/main/java/org/apache/ignite/sink/flink/IgniteSink.java]
I am working on the testcases and will raise the PR soon.
Regards
Saikat
On Tue, Jun 5, 2018 at 1:13 AM, Ray <ra...@cisco.com> wrote:
> Yes, the cache is already created before running my flink application.
>
> The issue can be reproduced when you submit your flink application to your
> flink cluster.
>
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Ray <ra...@cisco.com>.
Hello Saikat,
Thanks for the fix.
I validated this fix by running my WordCount application in both standalone
mode and cluster mode.
The data can be inserted.
But I found another problem here.
The data written into Ignite is not correct.
My application counts the word occurrence in this the following sentence.
"To be, or not to be,--that is the question:--",
"Whether 'tis nobler in the mind to suffer",
"The slings and arrows of outrageous fortune",
"Or to take arms against a sea of troubles,
The count of word "to" should be 9.
But when I check the result in Ignite, all the values of every word is 1.
Clearly it's wrong.
The reproducer program is the same as I attached in the JIRA ticket.
Please let me know if you can reproduce this issue.
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Saikat Maitra <sa...@gmail.com>.
Hi,
I have submitted the below PR, please review and share feedback.
Jira: https://issues.apache.org/jira/browse/IGNITE-8697
PR : https://github.com/apache/ignite/pull/4398
Review : https://reviews.ignite.apache.org/ignite/review/IGNT-CR-695
Regards,
Saikat
On Thu, Jul 26, 2018 at 11:26 PM, Saikat Maitra <sa...@gmail.com>
wrote:
> Hi Andrew,
>
> As we discussed I have updated the PR, please take a look. If it looks
> good then I can go ahead and merge the changes.
>
> PR : https://github.com/apache/ignite/pull/4398
> Review : https://reviews.ignite.apache.org/ignite/review/IGNT-CR-695
>
> Regards,
> Saikat
>
> On Thu, Jul 26, 2018 at 11:25 PM, Saikat Maitra <sa...@gmail.com>
> wrote:
>
>> Hi Ray,
>>
>> We will need to use igniteSink.setAllowOverwrite(true) flag so that
>> latest computed values are stored in cache. Also we need not call
>> igniteSink.open(new Configuration)
>>
>> Please take a look into the below modified wordCount sample.
>>
>> https://github.com/samaitra/flink-fn/blob/master/flink-fn/sr
>> c/main/scala/com/samaitra/WordCount.scala
>>
>> Please review and share feedback
>>
>> Regards
>> Saikat
>>
>> On Thu, Jul 26, 2018 at 1:16 AM, Ray <ra...@cisco.com> wrote:
>>
>>> Hi Saikat,
>>>
>>> The results flink calculated before sending to sink is correct, but the
>>> results in Ignite is not correct.
>>> You can remove the sink and print the stream content to validate my
>>> point.
>>>
>>>
>>>
>>> --
>>> Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
>>>
>>
>>
>
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Saikat Maitra <sa...@gmail.com>.
Hi Andrew,
As we discussed I have updated the PR, please take a look. If it looks good
then I can go ahead and merge the changes.
PR : https://github.com/apache/ignite/pull/4398
Review : https://reviews.ignite.apache.org/ignite/review/IGNT-CR-695
Regards,
Saikat
On Thu, Jul 26, 2018 at 11:25 PM, Saikat Maitra <sa...@gmail.com>
wrote:
> Hi Ray,
>
> We will need to use igniteSink.setAllowOverwrite(true) flag so that
> latest computed values are stored in cache. Also we need not call
> igniteSink.open(new Configuration)
>
> Please take a look into the below modified wordCount sample.
>
> https://github.com/samaitra/flink-fn/blob/master/flink-fn/
> src/main/scala/com/samaitra/WordCount.scala
>
> Please review and share feedback
>
> Regards
> Saikat
>
> On Thu, Jul 26, 2018 at 1:16 AM, Ray <ra...@cisco.com> wrote:
>
>> Hi Saikat,
>>
>> The results flink calculated before sending to sink is correct, but the
>> results in Ignite is not correct.
>> You can remove the sink and print the stream content to validate my point.
>>
>>
>>
>> --
>> Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
>>
>
>
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Saikat Maitra <sa...@gmail.com>.
Hi Ray,
We will need to use igniteSink.setAllowOverwrite(true) flag so that latest
computed values are stored in cache. Also we need not call igniteSink.open(
new Configuration)
Please take a look into the below modified wordCount sample.
https://github.com/samaitra/flink-fn/blob/master/flink-fn/src/main/scala/com/samaitra/WordCount.scala
Please review and share feedback
Regards
Saikat
On Thu, Jul 26, 2018 at 1:16 AM, Ray <ra...@cisco.com> wrote:
> Hi Saikat,
>
> The results flink calculated before sending to sink is correct, but the
> results in Ignite is not correct.
> You can remove the sink and print the stream content to validate my point.
>
>
>
> --
> Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
>
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Ray <ra...@cisco.com>.
Hi Saikat,
The results flink calculated before sending to sink is correct, but the
results in Ignite is not correct.
You can remove the sink and print the stream content to validate my point.
--
Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Saikat Maitra <sa...@gmail.com>.
Hi Stan
Thank you , we will continue the discussion in this dev-list.
Ray - Thank you for validating the changes, I will take a look into the
WordCount application. My understanding is the IgniteSink need not do any
reduce and the output collector will reduce the results and write to Ignite.
Regards,
Saikat
On Sun, Jul 22, 2018 at 5:07 PM, Stanislav Lukyanov <st...@gmail.com>
wrote:
> Hi guys,
>
> Thanks for helping with the fix!
>
> As this is a development topic now and not a usage one, I’m BCC’ing the
> user-list and replacing it with dev-list.
> Please continue the discussion there.
>
> Andrey, Dmitry, please help with the review.
>
> Thanks,
> Stan
>
> From: Saikat Maitra
> Sent: 22 июля 2018 г. 8:28
> To: user@ignite.apache.org; rayliu@cisco.com
> Subject: Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
>
> Hi Ray, Andrew
>
> As discussed I have fixed the issue with IgniteSink when running in
> cluster mode.
>
> Please review the below PR and share feedback.
>
> PR : https://github.com/apache/ignite/pull/4398
> Review : https://reviews.ignite.apache.org/ignite/review/IGNT-CR-695
>
> Regards,
> Saikat
>
>
>
>
> On Mon, Jul 16, 2018 at 10:47 PM, Saikat Maitra <sa...@gmail.com>
> wrote:
> Hi Ray,
>
> Thank you for validating the changes, I see that in cluster mode when I am
> checking the IgniteSink it is working as desired. In stand alone mode I can
> see we are getting the exception class org.apache.ignite.IgniteException:
> Default Ignite instance has already been started.
>
> Please take a look into this sample application https://github.
> com/samaitra/streamers which I used to run it with flink in cluster mode.
>
> I am considering if I should make changes to run the IgniteSink in client
> mode similar to the ways flink connector for redis and flume were
> implemented in Apache Bahir
>
> https://github.com/apache/bahir-flink
>
> I will share update soon.
>
> Regards,
> Saikat
>
>
>
> On Sun, Jul 15, 2018 at 10:07 PM, Ray <ra...@cisco.com> wrote:
> Hello Saikat,
>
> I tried your newest code and wrote a simple word count application to test
> the sink.
> It appears there's still problems.
> Here's my code.
>
>
>
> import org.apache.flink.api.scala._
> import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
> import org.apache.flink.streaming.api.scala.extensions._
> import org.apache.flink.configuration.Configuration
> import org.apache.ignite.Ignition
> import org.apache.ignite.configuration.CacheConfiguration
>
> import scala.collection.JavaConverters._
>
>
> object WordCount {
>
> def main(args: Array[String]) {
>
> val ignite = Ignition.start("ignite.xml")
> val cacheConfig = new CacheConfiguration[Any, Any]()
> ignite.destroyCache("aaa")
> cacheConfig.setName("aaa")
> cacheConfig.setSqlSchema("PUBLIC")
> ignite.createCache(cacheConfig)
> ignite.close()
>
>
> // set up the execution environment
> val env = StreamExecutionEnvironment.
> getExecutionEnvironment
>
> val igniteSink = new IgniteSink[java.util.Map[String,
> Int]]("aaa",
> "ignite.xml")
>
> igniteSink.setAllowOverwrite(false)
> igniteSink.setAutoFlushFrequency(1)
>
> igniteSink.open(new Configuration)
>
>
> // get input data
> val text = env.fromElements(
> "To be, or not to be,--that is the question:--",
> "Whether 'tis nobler in the mind to suffer",
> "The slings and arrows of outrageous fortune",
> "Or to take arms against a sea of troubles,")
>
>
> val counts = text
> // split up the lines in pairs (2-tuples)
> containing: (word,1)
> .flatMap(_.toLowerCase.split("\\W+"))
> .filter(_.nonEmpty)
> .map((_, 1))
> // group by the tuple field "0" and sum up tuple
> field "1"
> .keyBy(0)
> .sum(1)
> // Convert to key/value format before ingesting to
> Ignite
> .mapWith { case (k: String, v: Int) => Map(k ->
> v).asJava }
> .addSink(igniteSink)
>
> try
> env.execute("Streaming WordCount1")
> catch {
> case e: Exception =>
>
> // Exception handling.
> } finally igniteSink.close()
>
> }
> }
>
> I tried running this application in Idea and the error log snippet is as
> follows
>
> 07/16/2018 11:05:30 aggregation -> Map -> Sink: Unnamed(4/8) switched
> to
> FAILED
> class org.apache.ignite.IgniteException: Default Ignite instance has
> already
> been started.
> at
> org.apache.ignite.internal.util.IgniteUtils.convertException(IgniteUtils.
> java:990)
> at org.apache.ignite.Ignition.start(Ignition.java:355)
> at IgniteSink.open(IgniteSink.java:135)
> at
> org.apache.flink.api.common.functions.util.FunctionUtils.
> openFunction(FunctionUtils.java:36)
> at
> org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(
> AbstractUdfStreamOperator.java:111)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.
> openAllOperators(StreamTask.java:376)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.
> invoke(StreamTask.java:253)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: class org.apache.ignite.IgniteCheckedException: Default Ignite
> instance has already been started.
> at org.apache.ignite.internal.IgnitionEx.start0(IgnitionEx.
> java:1134)
> at
> org.apache.ignite.internal.IgnitionEx.startConfigurations(
> IgnitionEx.java:1069)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:955)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:854)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:724)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:693)
> at org.apache.ignite.Ignition.start(Ignition.java:352)
> ... 7 more
>
> 07/16/2018 11:05:30 Job execution switched to status FAILING.
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>
>
>
>
RE: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Stanislav Lukyanov <st...@gmail.com>.
Hi guys,
Thanks for helping with the fix!
As this is a development topic now and not a usage one, I’m BCC’ing the user-list and replacing it with dev-list.
Please continue the discussion there.
Andrey, Dmitry, please help with the review.
Thanks,
Stan
From: Saikat Maitra
Sent: 22 июля 2018 г. 8:28
To: user@ignite.apache.org; rayliu@cisco.com
Subject: Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Hi Ray, Andrew
As discussed I have fixed the issue with IgniteSink when running in cluster mode.
Please review the below PR and share feedback.
PR : https://github.com/apache/ignite/pull/4398
Review : https://reviews.ignite.apache.org/ignite/review/IGNT-CR-695
Regards,
Saikat
On Mon, Jul 16, 2018 at 10:47 PM, Saikat Maitra <sa...@gmail.com> wrote:
Hi Ray,
Thank you for validating the changes, I see that in cluster mode when I am checking the IgniteSink it is working as desired. In stand alone mode I can see we are getting the exception class org.apache.ignite.IgniteException: Default Ignite instance has already been started.
Please take a look into this sample application https://github.com/samaitra/streamers which I used to run it with flink in cluster mode.
I am considering if I should make changes to run the IgniteSink in client mode similar to the ways flink connector for redis and flume were implemented in Apache Bahir
https://github.com/apache/bahir-flink
I will share update soon.
Regards,
Saikat
On Sun, Jul 15, 2018 at 10:07 PM, Ray <ra...@cisco.com> wrote:
Hello Saikat,
I tried your newest code and wrote a simple word count application to test
the sink.
It appears there's still problems.
Here's my code.
import org.apache.flink.api.scala._
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala.extensions._
import org.apache.flink.configuration.Configuration
import org.apache.ignite.Ignition
import org.apache.ignite.configuration.CacheConfiguration
import scala.collection.JavaConverters._
object WordCount {
def main(args: Array[String]) {
val ignite = Ignition.start("ignite.xml")
val cacheConfig = new CacheConfiguration[Any, Any]()
ignite.destroyCache("aaa")
cacheConfig.setName("aaa")
cacheConfig.setSqlSchema("PUBLIC")
ignite.createCache(cacheConfig)
ignite.close()
// set up the execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
val igniteSink = new IgniteSink[java.util.Map[String, Int]]("aaa",
"ignite.xml")
igniteSink.setAllowOverwrite(false)
igniteSink.setAutoFlushFrequency(1)
igniteSink.open(new Configuration)
// get input data
val text = env.fromElements(
"To be, or not to be,--that is the question:--",
"Whether 'tis nobler in the mind to suffer",
"The slings and arrows of outrageous fortune",
"Or to take arms against a sea of troubles,")
val counts = text
// split up the lines in pairs (2-tuples) containing: (word,1)
.flatMap(_.toLowerCase.split("\\W+"))
.filter(_.nonEmpty)
.map((_, 1))
// group by the tuple field "0" and sum up tuple field "1"
.keyBy(0)
.sum(1)
// Convert to key/value format before ingesting to Ignite
.mapWith { case (k: String, v: Int) => Map(k -> v).asJava }
.addSink(igniteSink)
try
env.execute("Streaming WordCount1")
catch {
case e: Exception =>
// Exception handling.
} finally igniteSink.close()
}
}
I tried running this application in Idea and the error log snippet is as
follows
07/16/2018 11:05:30 aggregation -> Map -> Sink: Unnamed(4/8) switched to
FAILED
class org.apache.ignite.IgniteException: Default Ignite instance has already
been started.
at
org.apache.ignite.internal.util.IgniteUtils.convertException(IgniteUtils.java:990)
at org.apache.ignite.Ignition.start(Ignition.java:355)
at IgniteSink.open(IgniteSink.java:135)
at
org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:36)
at
org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:111)
at
org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:376)
at
org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:253)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
at java.lang.Thread.run(Thread.java:745)
Caused by: class org.apache.ignite.IgniteCheckedException: Default Ignite
instance has already been started.
at org.apache.ignite.internal.IgnitionEx.start0(IgnitionEx.java:1134)
at
org.apache.ignite.internal.IgnitionEx.startConfigurations(IgnitionEx.java:1069)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:955)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:854)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:724)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:693)
at org.apache.ignite.Ignition.start(Ignition.java:352)
... 7 more
07/16/2018 11:05:30 Job execution switched to status FAILING.
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Saikat Maitra <sa...@gmail.com>.
Hi Ray, Andrew
As discussed I have fixed the issue with IgniteSink when running in cluster
mode.
Please review the below PR and share feedback.
PR : https://github.com/apache/ignite/pull/4398
Review : https://reviews.ignite.apache.org/ignite/review/IGNT-CR-695
Regards,
Saikat
On Mon, Jul 16, 2018 at 10:47 PM, Saikat Maitra <sa...@gmail.com>
wrote:
> Hi Ray,
>
> Thank you for validating the changes, I see that in cluster mode when I am
> checking the IgniteSink it is working as desired. In stand alone mode I can
> see we are getting the exception class org.apache.ignite.IgniteException:
> Default Ignite instance has already been started.
>
> Please take a look into this sample application https://github.
> com/samaitra/streamers which I used to run it with flink in cluster mode.
>
> I am considering if I should make changes to run the IgniteSink in client
> mode similar to the ways flink connector for redis and flume were
> implemented in Apache Bahir
>
> https://github.com/apache/bahir-flink
>
> I will share update soon.
>
> Regards,
> Saikat
>
>
>
> On Sun, Jul 15, 2018 at 10:07 PM, Ray <ra...@cisco.com> wrote:
>
>> Hello Saikat,
>>
>> I tried your newest code and wrote a simple word count application to test
>> the sink.
>> It appears there's still problems.
>> Here's my code.
>>
>>
>>
>> import org.apache.flink.api.scala._
>> import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
>> import org.apache.flink.streaming.api.scala.extensions._
>> import org.apache.flink.configuration.Configuration
>> import org.apache.ignite.Ignition
>> import org.apache.ignite.configuration.CacheConfiguration
>>
>> import scala.collection.JavaConverters._
>>
>>
>> object WordCount {
>>
>> def main(args: Array[String]) {
>>
>> val ignite = Ignition.start("ignite.xml")
>> val cacheConfig = new CacheConfiguration[Any, Any]()
>> ignite.destroyCache("aaa")
>> cacheConfig.setName("aaa")
>> cacheConfig.setSqlSchema("PUBLIC")
>> ignite.createCache(cacheConfig)
>> ignite.close()
>>
>>
>> // set up the execution environment
>> val env = StreamExecutionEnvironment.get
>> ExecutionEnvironment
>>
>> val igniteSink = new IgniteSink[java.util.Map[String,
>> Int]]("aaa",
>> "ignite.xml")
>>
>> igniteSink.setAllowOverwrite(false)
>> igniteSink.setAutoFlushFrequency(1)
>>
>> igniteSink.open(new Configuration)
>>
>>
>> // get input data
>> val text = env.fromElements(
>> "To be, or not to be,--that is the question:--",
>> "Whether 'tis nobler in the mind to suffer",
>> "The slings and arrows of outrageous fortune",
>> "Or to take arms against a sea of troubles,")
>>
>>
>> val counts = text
>> // split up the lines in pairs (2-tuples)
>> containing: (word,1)
>> .flatMap(_.toLowerCase.split("\\W+"))
>> .filter(_.nonEmpty)
>> .map((_, 1))
>> // group by the tuple field "0" and sum up tuple
>> field "1"
>> .keyBy(0)
>> .sum(1)
>> // Convert to key/value format before ingesting
>> to Ignite
>> .mapWith { case (k: String, v: Int) => Map(k ->
>> v).asJava }
>> .addSink(igniteSink)
>>
>> try
>> env.execute("Streaming WordCount1")
>> catch {
>> case e: Exception =>
>>
>> // Exception handling.
>> } finally igniteSink.close()
>>
>> }
>> }
>>
>> I tried running this application in Idea and the error log snippet is as
>> follows
>>
>> 07/16/2018 11:05:30 aggregation -> Map -> Sink: Unnamed(4/8) switched
>> to
>> FAILED
>> class org.apache.ignite.IgniteException: Default Ignite instance has
>> already
>> been started.
>> at
>> org.apache.ignite.internal.util.IgniteUtils.convertException
>> (IgniteUtils.java:990)
>> at org.apache.ignite.Ignition.start(Ignition.java:355)
>> at IgniteSink.open(IgniteSink.java:135)
>> at
>> org.apache.flink.api.common.functions.util.FunctionUtils.ope
>> nFunction(FunctionUtils.java:36)
>> at
>> org.apache.flink.streaming.api.operators.AbstractUdfStreamOp
>> erator.open(AbstractUdfStreamOperator.java:111)
>> at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.openAllO
>> perators(StreamTask.java:376)
>> at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(
>> StreamTask.java:253)
>> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
>> at java.lang.Thread.run(Thread.java:745)
>> Caused by: class org.apache.ignite.IgniteCheckedException: Default Ignite
>> instance has already been started.
>> at org.apache.ignite.internal.IgnitionEx.start0(IgnitionEx.java
>> :1134)
>> at
>> org.apache.ignite.internal.IgnitionEx.startConfigurations(Ig
>> nitionEx.java:1069)
>> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:
>> 955)
>> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:
>> 854)
>> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:
>> 724)
>> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:
>> 693)
>> at org.apache.ignite.Ignition.start(Ignition.java:352)
>> ... 7 more
>>
>> 07/16/2018 11:05:30 Job execution switched to status FAILING.
>>
>>
>>
>> --
>> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>>
>
>
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Saikat Maitra <sa...@gmail.com>.
Hi Ray,
Thank you for validating the changes, I see that in cluster mode when I am
checking the IgniteSink it is working as desired. In stand alone mode I can
see we are getting the exception class org.apache.ignite.IgniteException:
Default Ignite instance has already been started.
Please take a look into this sample application
https://github.com/samaitra/streamers which I used to run it with flink in
cluster mode.
I am considering if I should make changes to run the IgniteSink in client
mode similar to the ways flink connector for redis and flume were
implemented in Apache Bahir
https://github.com/apache/bahir-flink
I will share update soon.
Regards,
Saikat
On Sun, Jul 15, 2018 at 10:07 PM, Ray <ra...@cisco.com> wrote:
> Hello Saikat,
>
> I tried your newest code and wrote a simple word count application to test
> the sink.
> It appears there's still problems.
> Here's my code.
>
>
>
> import org.apache.flink.api.scala._
> import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
> import org.apache.flink.streaming.api.scala.extensions._
> import org.apache.flink.configuration.Configuration
> import org.apache.ignite.Ignition
> import org.apache.ignite.configuration.CacheConfiguration
>
> import scala.collection.JavaConverters._
>
>
> object WordCount {
>
> def main(args: Array[String]) {
>
> val ignite = Ignition.start("ignite.xml")
> val cacheConfig = new CacheConfiguration[Any, Any]()
> ignite.destroyCache("aaa")
> cacheConfig.setName("aaa")
> cacheConfig.setSqlSchema("PUBLIC")
> ignite.createCache(cacheConfig)
> ignite.close()
>
>
> // set up the execution environment
> val env = StreamExecutionEnvironment.
> getExecutionEnvironment
>
> val igniteSink = new IgniteSink[java.util.Map[String,
> Int]]("aaa",
> "ignite.xml")
>
> igniteSink.setAllowOverwrite(false)
> igniteSink.setAutoFlushFrequency(1)
>
> igniteSink.open(new Configuration)
>
>
> // get input data
> val text = env.fromElements(
> "To be, or not to be,--that is the question:--",
> "Whether 'tis nobler in the mind to suffer",
> "The slings and arrows of outrageous fortune",
> "Or to take arms against a sea of troubles,")
>
>
> val counts = text
> // split up the lines in pairs (2-tuples)
> containing: (word,1)
> .flatMap(_.toLowerCase.split("\\W+"))
> .filter(_.nonEmpty)
> .map((_, 1))
> // group by the tuple field "0" and sum up tuple
> field "1"
> .keyBy(0)
> .sum(1)
> // Convert to key/value format before ingesting to
> Ignite
> .mapWith { case (k: String, v: Int) => Map(k ->
> v).asJava }
> .addSink(igniteSink)
>
> try
> env.execute("Streaming WordCount1")
> catch {
> case e: Exception =>
>
> // Exception handling.
> } finally igniteSink.close()
>
> }
> }
>
> I tried running this application in Idea and the error log snippet is as
> follows
>
> 07/16/2018 11:05:30 aggregation -> Map -> Sink: Unnamed(4/8) switched
> to
> FAILED
> class org.apache.ignite.IgniteException: Default Ignite instance has
> already
> been started.
> at
> org.apache.ignite.internal.util.IgniteUtils.convertException(IgniteUtils.
> java:990)
> at org.apache.ignite.Ignition.start(Ignition.java:355)
> at IgniteSink.open(IgniteSink.java:135)
> at
> org.apache.flink.api.common.functions.util.FunctionUtils.
> openFunction(FunctionUtils.java:36)
> at
> org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(
> AbstractUdfStreamOperator.java:111)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.
> openAllOperators(StreamTask.java:376)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.
> invoke(StreamTask.java:253)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: class org.apache.ignite.IgniteCheckedException: Default Ignite
> instance has already been started.
> at org.apache.ignite.internal.IgnitionEx.start0(IgnitionEx.
> java:1134)
> at
> org.apache.ignite.internal.IgnitionEx.startConfigurations(
> IgnitionEx.java:1069)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:955)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:854)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:724)
> at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.
> java:693)
> at org.apache.ignite.Ignition.start(Ignition.java:352)
> ... 7 more
>
> 07/16/2018 11:05:30 Job execution switched to status FAILING.
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>
Re: Apache Flink Sink + Ignite: Ouch! Argument is invalid
Posted by Ray <ra...@cisco.com>.
Hello Saikat,
I tried your newest code and wrote a simple word count application to test
the sink.
It appears there's still problems.
Here's my code.
import org.apache.flink.api.scala._
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala.extensions._
import org.apache.flink.configuration.Configuration
import org.apache.ignite.Ignition
import org.apache.ignite.configuration.CacheConfiguration
import scala.collection.JavaConverters._
object WordCount {
def main(args: Array[String]) {
val ignite = Ignition.start("ignite.xml")
val cacheConfig = new CacheConfiguration[Any, Any]()
ignite.destroyCache("aaa")
cacheConfig.setName("aaa")
cacheConfig.setSqlSchema("PUBLIC")
ignite.createCache(cacheConfig)
ignite.close()
// set up the execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
val igniteSink = new IgniteSink[java.util.Map[String, Int]]("aaa",
"ignite.xml")
igniteSink.setAllowOverwrite(false)
igniteSink.setAutoFlushFrequency(1)
igniteSink.open(new Configuration)
// get input data
val text = env.fromElements(
"To be, or not to be,--that is the question:--",
"Whether 'tis nobler in the mind to suffer",
"The slings and arrows of outrageous fortune",
"Or to take arms against a sea of troubles,")
val counts = text
// split up the lines in pairs (2-tuples) containing: (word,1)
.flatMap(_.toLowerCase.split("\\W+"))
.filter(_.nonEmpty)
.map((_, 1))
// group by the tuple field "0" and sum up tuple field "1"
.keyBy(0)
.sum(1)
// Convert to key/value format before ingesting to Ignite
.mapWith { case (k: String, v: Int) => Map(k -> v).asJava }
.addSink(igniteSink)
try
env.execute("Streaming WordCount1")
catch {
case e: Exception =>
// Exception handling.
} finally igniteSink.close()
}
}
I tried running this application in Idea and the error log snippet is as
follows
07/16/2018 11:05:30 aggregation -> Map -> Sink: Unnamed(4/8) switched to
FAILED
class org.apache.ignite.IgniteException: Default Ignite instance has already
been started.
at
org.apache.ignite.internal.util.IgniteUtils.convertException(IgniteUtils.java:990)
at org.apache.ignite.Ignition.start(Ignition.java:355)
at IgniteSink.open(IgniteSink.java:135)
at
org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:36)
at
org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:111)
at
org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:376)
at
org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:253)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
at java.lang.Thread.run(Thread.java:745)
Caused by: class org.apache.ignite.IgniteCheckedException: Default Ignite
instance has already been started.
at org.apache.ignite.internal.IgnitionEx.start0(IgnitionEx.java:1134)
at
org.apache.ignite.internal.IgnitionEx.startConfigurations(IgnitionEx.java:1069)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:955)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:854)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:724)
at org.apache.ignite.internal.IgnitionEx.start(IgnitionEx.java:693)
at org.apache.ignite.Ignition.start(Ignition.java:352)
... 7 more
07/16/2018 11:05:30 Job execution switched to status FAILING.
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/