Figuring out Yarn application_id for insert statements via JDBC
I am executing an insert query via Hive JDBC client.
The method that I execute is:
boolean execute(String sql) throws SQLException [this]. This is a blocking call.
I understand that after some hops, there will be a Map-Reduce job launched on the Hadoop cluster.
Problem:
Now, as per my requirement, I need to kill the MR job if it does not complete within a stipulated time.
Currently, the only method that I know of killing an MR job is via Yarn, yarn application -kill application_1428487296152_25597
OR
hadoop job -kill $jobId.
But in the above case, since I am executing via JDBC, I am neither getting the Yarn app ID, nor the Hadoop Job Id. How should I go about it?
PS: I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
PPS: I am using version 1.2.1 of Hive-JDBC client.
java hadoop jdbc hive yarn
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
add a comment |
I am executing an insert query via Hive JDBC client.
The method that I execute is:
boolean execute(String sql) throws SQLException [this]. This is a blocking call.
I understand that after some hops, there will be a Map-Reduce job launched on the Hadoop cluster.
Problem:
Now, as per my requirement, I need to kill the MR job if it does not complete within a stipulated time.
Currently, the only method that I know of killing an MR job is via Yarn, yarn application -kill application_1428487296152_25597
OR
hadoop job -kill $jobId.
But in the above case, since I am executing via JDBC, I am neither getting the Yarn app ID, nor the Hadoop Job Id. How should I go about it?
PS: I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
PPS: I am using version 1.2.1 of Hive-JDBC client.
java hadoop jdbc hive yarn
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
Statement.setQueryTimeout(int timeout)
– Elliott Frisch
Jan 1 at 23:31
I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
– Shivam Dixit
Jan 2 at 9:04
add a comment |
I am executing an insert query via Hive JDBC client.
The method that I execute is:
boolean execute(String sql) throws SQLException [this]. This is a blocking call.
I understand that after some hops, there will be a Map-Reduce job launched on the Hadoop cluster.
Problem:
Now, as per my requirement, I need to kill the MR job if it does not complete within a stipulated time.
Currently, the only method that I know of killing an MR job is via Yarn, yarn application -kill application_1428487296152_25597
OR
hadoop job -kill $jobId.
But in the above case, since I am executing via JDBC, I am neither getting the Yarn app ID, nor the Hadoop Job Id. How should I go about it?
PS: I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
PPS: I am using version 1.2.1 of Hive-JDBC client.
java hadoop jdbc hive yarn
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
I am executing an insert query via Hive JDBC client.
The method that I execute is:
boolean execute(String sql) throws SQLException [this]. This is a blocking call.
I understand that after some hops, there will be a Map-Reduce job launched on the Hadoop cluster.
Problem:
Now, as per my requirement, I need to kill the MR job if it does not complete within a stipulated time.
Currently, the only method that I know of killing an MR job is via Yarn, yarn application -kill application_1428487296152_25597
OR
hadoop job -kill $jobId.
But in the above case, since I am executing via JDBC, I am neither getting the Yarn app ID, nor the Hadoop Job Id. How should I go about it?
PS: I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
PPS: I am using version 1.2.1 of Hive-JDBC client.
java hadoop jdbc hive yarn
java hadoop jdbc hive yarn
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
edited Jan 2 at 9:05
Shivam Dixit
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
asked Jan 1 at 22:57
Shivam DixitShivam Dixit
170212
170212
Statement.setQueryTimeout(int timeout)
– Elliott Frisch
Jan 1 at 23:31
I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
– Shivam Dixit
Jan 2 at 9:04
add a comment |
Statement.setQueryTimeout(int timeout)
– Elliott Frisch
Jan 1 at 23:31
I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
– Shivam Dixit
Jan 2 at 9:04
Statement.setQueryTimeout(int timeout)– Elliott Frisch
Jan 1 at 23:31
Statement.setQueryTimeout(int timeout)– Elliott Frisch
Jan 1 at 23:31
I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
– Shivam Dixit
Jan 2 at 9:04
I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
– Shivam Dixit
Jan 2 at 9:04
add a comment |
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Statement.setQueryTimeout(int timeout)– Elliott Frisch
Jan 1 at 23:31
I have a series of MR applications running in a single workflow. The timeout spec. is at a workflow level. Therefore, would require to kill flows on demand.
– Shivam Dixit
Jan 2 at 9:04