MssqlOperater not executing the sql statements + apache airflow + dag2019 Community Moderator ElectionAirflow does not update the progress of a dag/task to be completed even though the dag/task has actually completedAirflow scheduler not picking up dagsairflow - all tasks being queued and not moved to executionHow to validate airflow DAG with customer operator?How to force jinja templating on airflow variable?DAGs not clickable on Google Cloud Composer webserver, but working fine on a local AirflowApache - Airflow 1.10.1 don't start a jobAirflow on_success_callback() does not runHow to indicate config for Airflow when using run_as_user?Multiple BashOperator in Airflow doesn't recognize the current folder

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MssqlOperater not executing the sql statements + apache airflow + dag



2019 Community Moderator ElectionAirflow does not update the progress of a dag/task to be completed even though the dag/task has actually completedAirflow scheduler not picking up dagsairflow - all tasks being queued and not moved to executionHow to validate airflow DAG with customer operator?How to force jinja templating on airflow variable?DAGs not clickable on Google Cloud Composer webserver, but working fine on a local AirflowApache - Airflow 1.10.1 don't start a jobAirflow on_success_callback() does not runHow to indicate config for Airflow when using run_as_user?Multiple BashOperator in Airflow doesn't recognize the current folder










0















below is the dag I have written, when I ran the dag manually/scheduled it the tasks show success but its not executing sql statements at backend . I have copied both dag code and log associated with the task . can anyone help me on this ? 



from airflow import DAG 
from airflow.operators.mssql_operator 
import MsSqlOperator from datetime 
import datetime, timedelta 
from airflow.operators.bash_operator import BashOperator

default_args = 
 'owner': 'santosh',
 'depends_on_past': False,
 'email': ['santosh.dadisetti@gmail.com'],
 'email_on_failure': False,
 'email_on_retry': False,
 'retries': 1,
 'start_date': datetime(2019,3,4)


dag = DAG('MSSQL_server_test1', default_args=default_args)

task1 = MsSqlOperator(
 task_id='MSSQL_Task',
 mssql_conn_id='mssql_hook',
 database='sampledb',
 sql='INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]',
 dag=dag)

task2 = BashOperator(
 task_id='taskid_2',
 bash_command='echo "Hello World from Task 2"',
 dag=dag)

task1 >> task2


Log 



*** Reading local file: /root/airflow/logs/MSSQL_server_test1/MSSQL_Task/2019-03-06T21:09:07.392474+00:00/1.log
[2019-03-06 21:09:24,674] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1571 INFO - 
--------------------------------------------------------------------------------
Starting attempt 1 of 2
--------------------------------------------------------------------------------

[2019-03-06 21:09:25,414] models.py:1593 INFO - Executing <Task(MsSqlOperator): MSSQL_Task> on 2019-03-06T21:09:07.392474+00:00
[2019-03-06 21:09:25,415] base_task_runner.py:118 INFO - Running: ['bash', '-c', 'airflow run MSSQL_server_test1 MSSQL_Task 2019-03-06T21:09:07.392474+00:00 --job_id 47 --raw -sd DAGS_FOLDER/mssql_1.py --cfg_path /tmp/tmppofyzjrw']
[2019-03-06 21:09:26,802] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:26,801] settings.py:174 INFO - settings.configure_orm(): Using pool settings. pool_size=5, pool_recycle=1800, pid=29200
[2019-03-06 21:09:27,615] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:27,613] __init__.py:51 INFO - Using executor SequentialExecutor
[2019-03-06 21:09:29,164] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:29,162] models.py:273 INFO - Filling up the DagBag from /root/airflow/dags/mssql.py
[2019-03-06 21:09:30,664] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:30,663] cli.py:520 INFO - Running <TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [running]> on host XXXXXX
[2019-03-06 21:09:32,126] mssql_operator.py:54 INFO - Executing: INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[table1]
[2019-03-06 21:09:32,608] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,606] base_hook.py:83 INFO - Using connection to: id: mssql_hook. Host: <host>, Port: 1433, Schema: None, Login: usr_airflow, Password: XXXXXXXX, extra: 
[2019-03-06 21:09:32,985] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,985] dbapi_hook.py:166 INFO - INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]
[2019-03-06 21:09:34,725] logging_mixin.py:95 INFO - [2019-03-06 21:09:34,722] jobs.py:2527 INFO - Task exited with return code 0





airflow airflow-scheduler







share|improve this question
























  • Are you 100% sure that your query behaves correctly ,especially MSSQL's []-SquareBrackets syntax? And did you try it with setting the operators argument autocommit=True and the statements actually get's committed?

    – dorvak
    Mar 7 at 8:48
















0















below is the dag I have written, when I ran the dag manually/scheduled it the tasks show success but its not executing sql statements at backend . I have copied both dag code and log associated with the task . can anyone help me on this ? 



from airflow import DAG 
from airflow.operators.mssql_operator 
import MsSqlOperator from datetime 
import datetime, timedelta 
from airflow.operators.bash_operator import BashOperator

default_args = 
 'owner': 'santosh',
 'depends_on_past': False,
 'email': ['santosh.dadisetti@gmail.com'],
 'email_on_failure': False,
 'email_on_retry': False,
 'retries': 1,
 'start_date': datetime(2019,3,4)


dag = DAG('MSSQL_server_test1', default_args=default_args)

task1 = MsSqlOperator(
 task_id='MSSQL_Task',
 mssql_conn_id='mssql_hook',
 database='sampledb',
 sql='INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]',
 dag=dag)

task2 = BashOperator(
 task_id='taskid_2',
 bash_command='echo "Hello World from Task 2"',
 dag=dag)

task1 >> task2


Log 



*** Reading local file: /root/airflow/logs/MSSQL_server_test1/MSSQL_Task/2019-03-06T21:09:07.392474+00:00/1.log
[2019-03-06 21:09:24,674] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1571 INFO - 
--------------------------------------------------------------------------------
Starting attempt 1 of 2
--------------------------------------------------------------------------------

[2019-03-06 21:09:25,414] models.py:1593 INFO - Executing <Task(MsSqlOperator): MSSQL_Task> on 2019-03-06T21:09:07.392474+00:00
[2019-03-06 21:09:25,415] base_task_runner.py:118 INFO - Running: ['bash', '-c', 'airflow run MSSQL_server_test1 MSSQL_Task 2019-03-06T21:09:07.392474+00:00 --job_id 47 --raw -sd DAGS_FOLDER/mssql_1.py --cfg_path /tmp/tmppofyzjrw']
[2019-03-06 21:09:26,802] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:26,801] settings.py:174 INFO - settings.configure_orm(): Using pool settings. pool_size=5, pool_recycle=1800, pid=29200
[2019-03-06 21:09:27,615] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:27,613] __init__.py:51 INFO - Using executor SequentialExecutor
[2019-03-06 21:09:29,164] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:29,162] models.py:273 INFO - Filling up the DagBag from /root/airflow/dags/mssql.py
[2019-03-06 21:09:30,664] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:30,663] cli.py:520 INFO - Running <TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [running]> on host XXXXXX
[2019-03-06 21:09:32,126] mssql_operator.py:54 INFO - Executing: INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[table1]
[2019-03-06 21:09:32,608] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,606] base_hook.py:83 INFO - Using connection to: id: mssql_hook. Host: <host>, Port: 1433, Schema: None, Login: usr_airflow, Password: XXXXXXXX, extra: 
[2019-03-06 21:09:32,985] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,985] dbapi_hook.py:166 INFO - INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]
[2019-03-06 21:09:34,725] logging_mixin.py:95 INFO - [2019-03-06 21:09:34,722] jobs.py:2527 INFO - Task exited with return code 0





airflow airflow-scheduler







share|improve this question
























  • Are you 100% sure that your query behaves correctly ,especially MSSQL's []-SquareBrackets syntax? And did you try it with setting the operators argument autocommit=True and the statements actually get's committed?

    – dorvak
    Mar 7 at 8:48














0












0








0








below is the dag I have written, when I ran the dag manually/scheduled it the tasks show success but its not executing sql statements at backend . I have copied both dag code and log associated with the task . can anyone help me on this ? 



from airflow import DAG 
from airflow.operators.mssql_operator 
import MsSqlOperator from datetime 
import datetime, timedelta 
from airflow.operators.bash_operator import BashOperator

default_args = 
 'owner': 'santosh',
 'depends_on_past': False,
 'email': ['santosh.dadisetti@gmail.com'],
 'email_on_failure': False,
 'email_on_retry': False,
 'retries': 1,
 'start_date': datetime(2019,3,4)


dag = DAG('MSSQL_server_test1', default_args=default_args)

task1 = MsSqlOperator(
 task_id='MSSQL_Task',
 mssql_conn_id='mssql_hook',
 database='sampledb',
 sql='INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]',
 dag=dag)

task2 = BashOperator(
 task_id='taskid_2',
 bash_command='echo "Hello World from Task 2"',
 dag=dag)

task1 >> task2


Log 



*** Reading local file: /root/airflow/logs/MSSQL_server_test1/MSSQL_Task/2019-03-06T21:09:07.392474+00:00/1.log
[2019-03-06 21:09:24,674] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1571 INFO - 
--------------------------------------------------------------------------------
Starting attempt 1 of 2
--------------------------------------------------------------------------------

[2019-03-06 21:09:25,414] models.py:1593 INFO - Executing <Task(MsSqlOperator): MSSQL_Task> on 2019-03-06T21:09:07.392474+00:00
[2019-03-06 21:09:25,415] base_task_runner.py:118 INFO - Running: ['bash', '-c', 'airflow run MSSQL_server_test1 MSSQL_Task 2019-03-06T21:09:07.392474+00:00 --job_id 47 --raw -sd DAGS_FOLDER/mssql_1.py --cfg_path /tmp/tmppofyzjrw']
[2019-03-06 21:09:26,802] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:26,801] settings.py:174 INFO - settings.configure_orm(): Using pool settings. pool_size=5, pool_recycle=1800, pid=29200
[2019-03-06 21:09:27,615] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:27,613] __init__.py:51 INFO - Using executor SequentialExecutor
[2019-03-06 21:09:29,164] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:29,162] models.py:273 INFO - Filling up the DagBag from /root/airflow/dags/mssql.py
[2019-03-06 21:09:30,664] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:30,663] cli.py:520 INFO - Running <TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [running]> on host XXXXXX
[2019-03-06 21:09:32,126] mssql_operator.py:54 INFO - Executing: INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[table1]
[2019-03-06 21:09:32,608] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,606] base_hook.py:83 INFO - Using connection to: id: mssql_hook. Host: <host>, Port: 1433, Schema: None, Login: usr_airflow, Password: XXXXXXXX, extra: 
[2019-03-06 21:09:32,985] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,985] dbapi_hook.py:166 INFO - INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]
[2019-03-06 21:09:34,725] logging_mixin.py:95 INFO - [2019-03-06 21:09:34,722] jobs.py:2527 INFO - Task exited with return code 0





airflow airflow-scheduler







share|improve this question
















below is the dag I have written, when I ran the dag manually/scheduled it the tasks show success but its not executing sql statements at backend . I have copied both dag code and log associated with the task . can anyone help me on this ? 



from airflow import DAG 
from airflow.operators.mssql_operator 
import MsSqlOperator from datetime 
import datetime, timedelta 
from airflow.operators.bash_operator import BashOperator

default_args = 
 'owner': 'santosh',
 'depends_on_past': False,
 'email': ['santosh.dadisetti@gmail.com'],
 'email_on_failure': False,
 'email_on_retry': False,
 'retries': 1,
 'start_date': datetime(2019,3,4)


dag = DAG('MSSQL_server_test1', default_args=default_args)

task1 = MsSqlOperator(
 task_id='MSSQL_Task',
 mssql_conn_id='mssql_hook',
 database='sampledb',
 sql='INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]',
 dag=dag)

task2 = BashOperator(
 task_id='taskid_2',
 bash_command='echo "Hello World from Task 2"',
 dag=dag)

task1 >> task2


Log 



*** Reading local file: /root/airflow/logs/MSSQL_server_test1/MSSQL_Task/2019-03-06T21:09:07.392474+00:00/1.log
[2019-03-06 21:09:24,674] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1359 INFO - Dependencies all met for TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [queued]
[2019-03-06 21:09:24,833] models.py:1571 INFO - 
--------------------------------------------------------------------------------
Starting attempt 1 of 2
--------------------------------------------------------------------------------

[2019-03-06 21:09:25,414] models.py:1593 INFO - Executing <Task(MsSqlOperator): MSSQL_Task> on 2019-03-06T21:09:07.392474+00:00
[2019-03-06 21:09:25,415] base_task_runner.py:118 INFO - Running: ['bash', '-c', 'airflow run MSSQL_server_test1 MSSQL_Task 2019-03-06T21:09:07.392474+00:00 --job_id 47 --raw -sd DAGS_FOLDER/mssql_1.py --cfg_path /tmp/tmppofyzjrw']
[2019-03-06 21:09:26,802] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:26,801] settings.py:174 INFO - settings.configure_orm(): Using pool settings. pool_size=5, pool_recycle=1800, pid=29200
[2019-03-06 21:09:27,615] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:27,613] __init__.py:51 INFO - Using executor SequentialExecutor
[2019-03-06 21:09:29,164] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:29,162] models.py:273 INFO - Filling up the DagBag from /root/airflow/dags/mssql.py
[2019-03-06 21:09:30,664] base_task_runner.py:101 INFO - Job 47: Subtask MSSQL_Task [2019-03-06 21:09:30,663] cli.py:520 INFO - Running <TaskInstance: MSSQL_server_test1.MSSQL_Task 2019-03-06T21:09:07.392474+00:00 [running]> on host XXXXXX
[2019-03-06 21:09:32,126] mssql_operator.py:54 INFO - Executing: INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[table1]
[2019-03-06 21:09:32,608] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,606] base_hook.py:83 INFO - Using connection to: id: mssql_hook. Host: <host>, Port: 1433, Schema: None, Login: usr_airflow, Password: XXXXXXXX, extra: 
[2019-03-06 21:09:32,985] logging_mixin.py:95 INFO - [2019-03-06 21:09:32,985] dbapi_hook.py:166 INFO - INSERT INTO Airflow_testing1 SELECT * FROM [dbo].[Table1]
[2019-03-06 21:09:34,725] logging_mixin.py:95 INFO - [2019-03-06 21:09:34,722] jobs.py:2527 INFO - Task exited with return code 0





airflow airflow-scheduler




airflow airflow-scheduler






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 7 at 4:55









y2k-shubham

1,34911131




1,34911131










asked Mar 7 at 3:19









user1049198user1049198

62




62












  • Are you 100% sure that your query behaves correctly ,especially MSSQL's []-SquareBrackets syntax? And did you try it with setting the operators argument autocommit=True and the statements actually get's committed?

    – dorvak
    Mar 7 at 8:48


















  • Are you 100% sure that your query behaves correctly ,especially MSSQL's []-SquareBrackets syntax? And did you try it with setting the operators argument autocommit=True and the statements actually get's committed?

    – dorvak
    Mar 7 at 8:48

















Are you 100% sure that your query behaves correctly ,especially MSSQL's []-SquareBrackets syntax? And did you try it with setting the operators argument autocommit=True and the statements actually get's committed?

– dorvak
Mar 7 at 8:48






Are you 100% sure that your query behaves correctly ,especially MSSQL's []-SquareBrackets syntax? And did you try it with setting the operators argument autocommit=True and the statements actually get's committed?

– dorvak
Mar 7 at 8:48













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