[
https://issues.apache.org/jira/browse/AIRFLOW-1496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Rahul Singh updated AIRFLOW-1496:
---------------------------------
Description:
Hi,
I am trying to use druid hook to load data from hdfs to druid , below is my dag
script :
from datetime import datetime, timedelta
import json
from airflow.hooks import HttpHook, DruidHook
from airflow.operators import PythonOperator
from airflow.models import DAG
def check_druid_con():
dr_hook =
DruidHook(druid_ingest_conn_id='DRUID_INDEX',druid_query_conn_id='DRUID_QUERY')
dr_hook.load_from_hdfs("druid_airflow","hdfs://10.xx.xx.xx/demanddata/demand2.tsv","stay_date",["channel","rate"],"2016-12-11/2017-12-13",1,-1,metric_spec=[{
"name" : "count", "type" : "count"
}],hadoop_dependency_coordinates="org.apache.hadoop:hadoop-client:2.7.3")
default_args = {
'owner': 'TC',
'start_date': datetime(2017, 8, 7),
'retries': 1,
'retry_delay': timedelta(minutes=5)
}
dag = DAG('druid_data_load', default_args=default_args)
druid_task1=PythonOperator(task_id='check_druid',
python_callable=check_druid_con,
dag=dag)
I keep getting error , TypeError: load_from_hdfs() takes at least 10 arguments
(10 given) . However I have given 10 arguments to load_from_hdfs , still it
errors out . Please help.
Regards
Rahul
was:
Hi,
I am trying to use druid hook to load data from hdfs to druid , below is my dag
script :
from datetime import datetime, timedelta
import json
from airflow.hooks import HttpHook, DruidHook
from airflow.operators import PythonOperator
from airflow.models import DAG
def check_druid_con():
dr_hook =
DruidHook(druid_ingest_conn_id='DRUID_INDEX',druid_query_conn_id='DRUID_QUERY')
dr_hook.load_from_hdfs("druid_airflow","hdfs://10.55.26.71/demanddata/demand2.tsv","stay_date",["channel","rate"],"2016-12-11/2017-12-13",1,-1,metric_spec=[{
"name" : "count", "type" : "count"
}],hadoop_dependency_coordinates="org.apache.hadoop:hadoop-client:2.7.3")
default_args = {
'owner': 'TC',
'start_date': datetime(2017, 8, 7),
'retries': 1,
'retry_delay': timedelta(minutes=5)
}
dag = DAG('druid_data_load', default_args=default_args)
druid_task1=PythonOperator(task_id='check_druid',
python_callable=check_druid_con,
dag=dag)
I keep getting error , TypeError: load_from_hdfs() takes at least 10 arguments
(10 given) . However I have given 10 arguments to load_from_hdfs , still it
errors out . Please help.
Regards
Rahul
> Druid hook unable to load data from hdfs
> ----------------------------------------
>
> Key: AIRFLOW-1496
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1496
> Project: Apache Airflow
> Issue Type: Bug
> Components: hooks
> Affects Versions: 1.8.0
> Environment: RHEL 6.7 , Python 2.7.13
> Reporter: Rahul Singh
>
> Hi,
> I am trying to use druid hook to load data from hdfs to druid , below is my
> dag script :
> from datetime import datetime, timedelta
> import json
> from airflow.hooks import HttpHook, DruidHook
> from airflow.operators import PythonOperator
> from airflow.models import DAG
> def check_druid_con():
> dr_hook =
> DruidHook(druid_ingest_conn_id='DRUID_INDEX',druid_query_conn_id='DRUID_QUERY')
>
> dr_hook.load_from_hdfs("druid_airflow","hdfs://10.xx.xx.xx/demanddata/demand2.tsv","stay_date",["channel","rate"],"2016-12-11/2017-12-13",1,-1,metric_spec=[{
> "name" : "count", "type" : "count"
> }],hadoop_dependency_coordinates="org.apache.hadoop:hadoop-client:2.7.3")
> default_args = {
> 'owner': 'TC',
> 'start_date': datetime(2017, 8, 7),
> 'retries': 1,
> 'retry_delay': timedelta(minutes=5)
> }
> dag = DAG('druid_data_load', default_args=default_args)
> druid_task1=PythonOperator(task_id='check_druid',
> python_callable=check_druid_con,
> dag=dag)
> I keep getting error , TypeError: load_from_hdfs() takes at least 10
> arguments (10 given) . However I have given 10 arguments to load_from_hdfs ,
> still it errors out . Please help.
> Regards
> Rahul
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