[jira] [Updated] (SPARK-22382) Spark on mesos: doesn't support public IP setup for agent and master.
[
https://issues.apache.org/jira/browse/SPARK-22382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
DUC LIEM NGUYEN updated SPARK-22382:
Description:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{color:#d04437}Exception in thread "main" 17/10/11 22:38:01 ERROR
RpcOutboxMessage: Ask timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
{color}
When I look at the environment page, the spark.driver.host points to the
private IP address of the master 10.x.x.2 instead of it public IP address
35.x.x.6. I look at the Wireshark capture and indeed, there was failed TCP
package to the master private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{color:#d04437}ERROR TaskSchedulerImpl: Lost executor 1 on
myhostname.singnet.com.sg: Unable to create executor due to Cannot assign
requested address.{color}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
was:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{color:#d04437}Exception in thread "main" 17/10/11 22:38:01 ERROR
RpcOutboxMessage: Ask timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
{color}
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{color:#d04437}ERROR TaskSchedulerImpl: Lost executor 1 on
myhostname.singnet.com.sg: Unable to create executor due to Cannot assign
requested address.{color}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
> Spark on mesos: doesn't support public IP setup for agent and master.
> --
>
> Key: SPARK-22382
> URL: https://issues.apache.org/jira/browse/SPARK-22382
> Project: Spark
> Issue Type: Question
> Components: Mesos
>Affects Versions: 2.1.0
>Reporter: DUC LIEM NGUYEN
>
> I've installed a system as followed:
> --mesos master private IP of 10.x.x.2 , Public 35.x.x.6
> --mesos slave private IP of 192.x.x.10, Public 111.x.x.2
> Now the master assigned the task successfully to the slave, however, the task
> failed. The error message is as followed:
> {color:#d04437}Exception in thread "main" 17/10/11 22:38:01 ERROR
> RpcOutboxMessage: Ask timeout before connecting successfully
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
> in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
> {color}
> When I look at the environment page, the spark.driver.host points to the
> private IP address of the master 10.x.x.2 instead of it public IP address
> 35.x.x.6. I look at the Wireshark capture and indeed, there was failed TCP
> package to the master private IP address.
> Now if I set spark.driver.bindAddress from the master to its local IP
> address, spark.driver.host from the master to its public IP address, I get
> the following message.
> {color:#d04437}ERROR TaskSchedulerImpl: Lost executor 1 on
> myhostname.singnet.com.sg: Unable to create executor due to Cannot assign
> requested address.{color}
> From my understanding, the spark.driver.bindAddress set it for both master
> and slave, hence the slave get the said error. Now I'm really wondering how
> do I proper setup spark to work on this clustering over public IP?
--
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[jira] [Updated] (SPARK-22382) Spark on mesos: doesn't support public IP setup for agent and master.
[
https://issues.apache.org/jira/browse/SPARK-22382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
DUC LIEM NGUYEN updated SPARK-22382:
Affects Version/s: (was: 2.1.1)
2.1.0
Description:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{color:#d04437}Exception in thread "main" 17/10/11 22:38:01 ERROR
RpcOutboxMessage: Ask timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
{color}
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{color:#d04437}ERROR TaskSchedulerImpl: Lost executor 1 on
myhostname.singnet.com.sg: Unable to create executor due to Cannot assign
requested address.{color}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
was:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{color:#d04437}{{Exception in thread "main" 17/10/11 22:38:01 ERROR
RpcOutboxMessage: Ask timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
}}{color}
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{{ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable
to create executor due to Cannot assign requested address.}}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
> Spark on mesos: doesn't support public IP setup for agent and master.
> --
>
> Key: SPARK-22382
> URL: https://issues.apache.org/jira/browse/SPARK-22382
> Project: Spark
> Issue Type: Question
> Components: Mesos
>Affects Versions: 2.1.0
>Reporter: DUC LIEM NGUYEN
>
> I've installed a system as followed:
> --mesos master private IP of 10.x.x.2 , Public 35.x.x.6
> --mesos slave private IP of 192.x.x.10, Public 111.x.x.2
> Now the master assigned the task successfully to the slave, however, the task
> failed. The error message is as followed:
> {color:#d04437}Exception in thread "main" 17/10/11 22:38:01 ERROR
> RpcOutboxMessage: Ask timeout before connecting successfully
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
> in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
> {color}
> When I look at the environment, the spark.driver.host points to the private
> IP address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I
> look at the Wireshark capture and indeed, there was failed TCP package to the
> master private IP address.
> Now if I set spark.driver.bindAddress from the master to its local IP
> address, spark.driver.host from the master to its public IP address, I get
> the following message.
> {color:#d04437}ERROR TaskSchedulerImpl: Lost executor 1 on
> myhostname.singnet.com.sg: Unable to create executor due to Cannot assign
> requested address.{color}
> From my understanding, the spark.driver.bindAddress set it for both master
> and slave, hence the slave get the said error. Now I'm really wondering how
> do I proper setup spark to work on this clustering over public IP?
--
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[jira] [Updated] (SPARK-22382) Spark on mesos: doesn't support public IP setup for agent and master.
[
https://issues.apache.org/jira/browse/SPARK-22382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
DUC LIEM NGUYEN updated SPARK-22382:
Description:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{color:#d04437}{{Exception in thread "main" 17/10/11 22:38:01 ERROR
RpcOutboxMessage: Ask timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
}}{color}
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{{ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable
to create executor due to Cannot assign requested address.}}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
was:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{{Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask
timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout}}
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{{ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable
to create executor due to Cannot assign requested address.}}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
> Spark on mesos: doesn't support public IP setup for agent and master.
> --
>
> Key: SPARK-22382
> URL: https://issues.apache.org/jira/browse/SPARK-22382
> Project: Spark
> Issue Type: Question
> Components: Mesos
>Affects Versions: 2.1.0
>Reporter: DUC LIEM NGUYEN
>
> I've installed a system as followed:
> --mesos master private IP of 10.x.x.2 , Public 35.x.x.6
> --mesos slave private IP of 192.x.x.10, Public 111.x.x.2
> Now the master assigned the task successfully to the slave, however, the task
> failed. The error message is as followed:
> {color:#d04437}{{Exception in thread "main" 17/10/11 22:38:01 ERROR
> RpcOutboxMessage: Ask timeout before connecting successfully
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
> in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
> }}{color}
> When I look at the environment, the spark.driver.host points to the private
> IP address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I
> look at the Wireshark capture and indeed, there was failed TCP package to the
> master private IP address.
> Now if I set spark.driver.bindAddress from the master to its local IP
> address, spark.driver.host from the master to its public IP address, I get
> the following message.
> {{ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg:
> Unable to create executor due to Cannot assign requested address.}}
> From my understanding, the spark.driver.bindAddress set it for both master
> and slave, hence the slave get the said error. Now I'm really wondering how
> do I proper setup spark to work on this clustering over public IP?
--
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[jira] [Updated] (SPARK-22382) Spark on mesos: doesn't support public IP setup for agent and master.
[
https://issues.apache.org/jira/browse/SPARK-22382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
DUC LIEM NGUYEN updated SPARK-22382:
Description:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
{{Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask
timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout}}
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
{{ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable
to create executor due to Cannot assign requested address.}}
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
was:
I've installed a system as followed:
--mesos master private IP of 10.x.x.2 , Public 35.x.x.6
--mesos slave private IP of 192.x.x.10, Public 111.x.x.2
Now the master assigned the task successfully to the slave, however, the task
failed. The error message is as followed:
Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask
timeout before connecting successfully
Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
When I look at the environment, the spark.driver.host points to the private IP
address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look
at the Wireshark capture and indeed, there was failed TCP package to the master
private IP address.
Now if I set spark.driver.bindAddress from the master to its local IP address,
spark.driver.host from the master to its public IP address, I get the following
message.
ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable
to create executor due to Cannot assign requested address.
>From my understanding, the spark.driver.bindAddress set it for both master and
>slave, hence the slave get the said error. Now I'm really wondering how do I
>proper setup spark to work on this clustering over public IP?
> Spark on mesos: doesn't support public IP setup for agent and master.
> --
>
> Key: SPARK-22382
> URL: https://issues.apache.org/jira/browse/SPARK-22382
> Project: Spark
> Issue Type: Question
> Components: Mesos
>Affects Versions: 2.1.1
>Reporter: DUC LIEM NGUYEN
>
> I've installed a system as followed:
> --mesos master private IP of 10.x.x.2 , Public 35.x.x.6
> --mesos slave private IP of 192.x.x.10, Public 111.x.x.2
> Now the master assigned the task successfully to the slave, however, the task
> failed. The error message is as followed:
> {{Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask
> timeout before connecting successfully
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply
> in 120 seconds. This timeout is controlled by spark.rpc.askTimeout}}
> When I look at the environment, the spark.driver.host points to the private
> IP address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I
> look at the Wireshark capture and indeed, there was failed TCP package to the
> master private IP address.
> Now if I set spark.driver.bindAddress from the master to its local IP
> address, spark.driver.host from the master to its public IP address, I get
> the following message.
> {{ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg:
> Unable to create executor due to Cannot assign requested address.}}
> From my understanding, the spark.driver.bindAddress set it for both master
> and slave, hence the slave get the said error. Now I'm really wondering how
> do I proper setup spark to work on this clustering over public IP?
--
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[jira] [Updated] (SPARK-22382) Spark on mesos: doesn't support public IP setup for agent and master.
[ https://issues.apache.org/jira/browse/SPARK-22382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] DUC LIEM NGUYEN updated SPARK-22382: Description: I've installed a system as followed: --mesos master private IP of 10.x.x.2 , Public 35.x.x.6 --mesos slave private IP of 192.x.x.10, Public 111.x.x.2 Now the master assigned the task successfully to the slave, however, the task failed. The error message is as followed: Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask timeout before connecting successfully Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120 seconds. This timeout is controlled by spark.rpc.askTimeout When I look at the environment, the spark.driver.host points to the private IP address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look at the Wireshark capture and indeed, there was failed TCP package to the master private IP address. Now if I set spark.driver.bindAddress from the master to its local IP address, spark.driver.host from the master to its public IP address, I get the following message. ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable to create executor due to Cannot assign requested address. >From my understanding, the spark.driver.bindAddress set it for both master and >slave, hence the slave get the said error. Now I'm really wondering how do I >proper setup spark to work on this clustering over public IP? > Spark on mesos: doesn't support public IP setup for agent and master. > -- > > Key: SPARK-22382 > URL: https://issues.apache.org/jira/browse/SPARK-22382 > Project: Spark > Issue Type: Question > Components: Mesos >Affects Versions: 2.1.1 >Reporter: DUC LIEM NGUYEN > > I've installed a system as followed: > --mesos master private IP of 10.x.x.2 , Public 35.x.x.6 > --mesos slave private IP of 192.x.x.10, Public 111.x.x.2 > Now the master assigned the task successfully to the slave, however, the task > failed. The error message is as followed: > Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask > timeout before connecting successfully > Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply > in 120 seconds. This timeout is controlled by spark.rpc.askTimeout > When I look at the environment, the spark.driver.host points to the private > IP address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I > look at the Wireshark capture and indeed, there was failed TCP package to the > master private IP address. > Now if I set spark.driver.bindAddress from the master to its local IP > address, spark.driver.host from the master to its public IP address, I get > the following message. > ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable > to create executor due to Cannot assign requested address. > From my understanding, the spark.driver.bindAddress set it for both master > and slave, hence the slave get the said error. Now I'm really wondering how > do I proper setup spark to work on this clustering over public IP? -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-22382) Spark on mesos: doesn't support public IP setup for agent and master.
DUC LIEM NGUYEN created SPARK-22382: --- Summary: Spark on mesos: doesn't support public IP setup for agent and master. Key: SPARK-22382 URL: https://issues.apache.org/jira/browse/SPARK-22382 Project: Spark Issue Type: Question Components: Mesos Affects Versions: 2.1.1 Reporter: DUC LIEM NGUYEN -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-21053) Number overflow on agg function of Dataframe
DUC LIEM NGUYEN created SPARK-21053: --- Summary: Number overflow on agg function of Dataframe Key: SPARK-21053 URL: https://issues.apache.org/jira/browse/SPARK-21053 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 2.1.0 Environment: Databricks Community version Reporter: DUC LIEM NGUYEN The use of average on aggregation function on a large data set return a NaN instead of the desired numerical value although it's range between 0 and 1. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
