def run(self):
# Since we only iterate over dates in the umbrella process, we need to
# skip batch files that do not exist
output_file = self.output().path
if not os.path.exists(self.batch):
common.shell_cmd('touch %s', output_file)
return
input_file = self.input()[1].path
es = elasticsearch.Elasticsearch(self.es_host)
index_util.start_index_transaction(es, 'druglabel', self.epoch)
parallel.mapreduce(
input_collection=parallel.Collection.from_sharded(input_file),
mapper=index_util.LoadJSONMapper(self.es_host,
'druglabel',
'spl',
self.epoch,
docid_key='set_id',
version_key='version'),
reducer=parallel.NullReducer(),
output_prefix='/tmp/loadjson.druglabel',
num_shards=1,
map_workers=1)
index_util.commit_index_transaction(es, 'druglabel')
common.shell_cmd('touch %s', output_file)
def run(self):
es = elasticsearch.Elasticsearch(self.es_host)
index_util.start_index_transaction(es, 'drugevent', self.epoch)
parallel.mapreduce(
parallel.Collection.from_sharded(self.input()[1].path),
index_util.LoadJSONMapper(self.es_host,
'drugevent',
'safetyreport',
self.epoch,
docid_key='@case_number',
version_key='@version'),
parallel.NullReducer(),
output_prefix='/tmp/loadjson.drugevent',
num_shards=1,
map_workers=1)
index_util.commit_index_transaction(es, 'drugevent')
def run(self):
es = elasticsearch.Elasticsearch(self.es_host)
index_util.start_index_transaction(es, 'drugevent', self.epoch)
parallel.mapreduce(parallel.Collection.from_sharded(
self.input()[1].path),
index_util.LoadJSONMapper(self.es_host,
'drugevent',
'safetyreport',
self.epoch,
docid_key='@case_number',
version_key='@version'),
parallel.NullReducer(),
output_prefix='/tmp/loadjson.drugevent',
num_shards=1,
map_workers=1)
index_util.commit_index_transaction(es, 'drugevent')
def run(self):
output_file = self.output().path
input_file = self.input()[1].path
es = elasticsearch.Elasticsearch(self.es_host)
index_util.start_index_transaction(es, 'recall', self.epoch)
parallel.mapreduce(
input_collection=parallel.Collection.from_sharded(input_file),
mapper=index_util.LoadJSONMapper(self.es_host,
'recall',
'enforcementreport',
self.epoch,
docid_key='@id',
version_key='@version'),
reducer=parallel.NullReducer(),
output_prefix='/tmp/loadjson.recall',
num_shards=1,
map_workers=1)
index_util.commit_index_transaction(es, 'recall')
common.shell_cmd('touch %s', output_file)
def run(self):
output_file = self.output().path
input_file = self.input()[1].path
es = elasticsearch.Elasticsearch(self.es_host)
index_util.start_index_transaction(es, 'recall', self.epoch)
parallel.mapreduce(
input_collection=parallel.Collection.from_sharded(input_file),
mapper=index_util.LoadJSONMapper(self.es_host,
'recall',
'enforcementreport',
self.epoch,
docid_key='@id',
version_key='@version'),
reducer=parallel.NullReducer(),
output_prefix='/tmp/loadjson.recall',
num_shards=1,
map_workers=1)
index_util.commit_index_transaction(es, 'recall')
common.shell_cmd('touch %s', output_file)
