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Improving the HiveToDruidOperator #287

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Merged
mistercrunch merged 1 commit into from
Aug 22, 2015
Merged

Improving the HiveToDruidOperator #287

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25 changes: 12 additions & 13 deletions airflow/hooks/druid_hook.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ def __init__(
druid_ingest_conn_id='druid_ingest_default'):
self.druid_query_conn_id = druid_query_conn_id
self.druid_ingest_conn_id = druid_ingest_conn_id
self.header = {'content-type': 'application/json'}
self.header = {'content-type': 'application/json'}

def get_conn(self):
"""
Expand All @@ -41,11 +41,11 @@ def get_conn(self):

@property
def ingest_post_url(self):
conn = self.get_connection(self.druid_ingest_conn_id)
conn = self.get_connection(self.druid_ingest_conn_id)
host = conn.host
port = conn.port
endpoint = conn.extra_dejson.get('endpoint', '')
return "http://{host}:{port}/{endpoint}".format(**locals())
return "http://{host}:{port}/{endpoint}".format(**locals())

def get_ingest_status_url(self, task_id):
post_url = self.ingest_post_url
Expand All @@ -63,7 +63,7 @@ def construct_ingest_query(
metric_names = [
m['fieldName'] for m in metric_spec if m['type'] != 'count']
dimensions = [c for c in columns if c not in metric_names]
ingest_query_dict = {
ingest_query_dict = {
"type": "index_hadoop",
"spec": {
"dataSchema": {
Expand Down Expand Up @@ -105,32 +105,30 @@ def construct_ingest_query(
}
}

return json.dumps(ingest_query_dict, indent=4)

return json.dumps(ingest_query_dict, indent=4)

def send_ingest_query(
self, datasource, static_path, ts_dim, columns, metric_spec,
intervals):
query = self.construct_ingest_query(
query = self.construct_ingest_query(
datasource, static_path, ts_dim, columns,
metric_spec, intervals)
r = requests.post(
r = requests.post(
self.ingest_post_url, headers=self.header, data=query)
print(self.ingest_post_url)
print(query)
print(r.text)
logging.info(self.ingest_post_url)
logging.info(query)
logging.info(r.text)
d = json.loads(r.text)
if "task" not in d:
raise AirflowDruidLoadException(
"[Error]: Ingesting data to druid failed.")
return d["task"]


def load_from_hdfs(
self, datasource, static_path, ts_dim, columns,
intervals, metric_spec=None):
"""
load data to druid from hdfs
load data to druid from hdfs
:params ts_dim: The column name to use as a timestamp
:params metric_spec: A list of dictionaries
"""
Expand All @@ -142,6 +140,7 @@ def load_from_hdfs(
r = requests.get(status_url)
d = json.loads(r.text)
if d['status']['status'] == 'FAILED':
logging.error(d)
raise AirflowDruidLoadException(
"[Error]: Ingesting data to druid failed.")
elif d['status']['status'] == 'SUCCESS':
Expand Down
22 changes: 20 additions & 2 deletions airflow/operators/hive_to_druid.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,10 +68,18 @@ def execute(self, context):
DROP TABLE IF EXISTS {hive_table};
CREATE TABLE {hive_table}
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS TEXTFILE AS
{sql};
STORED AS TEXTFILE
TBLPROPERTIES ('serialization.null.format' = '')
AS
{sql}
""".format(**locals())
hive.run_cli(hql)
#hqls = hql.split(';')
#logging.info(str(hqls))
#from airflow.hooks import HiveServer2Hook
#hive = HiveServer2Hook(hiveserver2_conn_id="hiveserver2_silver")
#hive.get_results(hqls)


m = HiveMetastoreHook(self.metastore_conn_id)
t = m.get_table(hive_table)
Expand All @@ -82,11 +90,21 @@ def execute(self, context):
pos = hdfs_uri.find('/user')
static_path = hdfs_uri[pos:]

schema, table = hive_table.split('.')

druid = DruidHook(druid_ingest_conn_id=self.druid_ingest_conn_id)
logging.info("Inserting rows into Druid")
logging.info("HDFS path: " + static_path)

druid.load_from_hdfs(
datasource=self.druid_datasource,
intervals=self.intervals,
static_path=static_path, ts_dim=self.ts_dim,
columns=columns, metric_spec=self.metric_spec)
logging.info("Load seems to have succeeded!")

logging.info(
"Cleaning up by dropping the temp "
"Hive table {}".format(hive_table))
hql = "DROP TABLE IF EXISTS {}".format(hive_table)
#hive.run_cli(hql)