Source code for airflow.providers.apache.hive.sensors.named_hive_partition
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from typing import Any, Dict, List, Tuple
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
[docs]class NamedHivePartitionSensor(BaseSensorOperator):
"""
Waits for a set of partitions to show up in Hive.
:param partition_names: List of fully qualified names of the
partitions to wait for. A fully qualified name is of the
form ``schema.table/pk1=pv1/pk2=pv2``, for example,
default.users/ds=2016-01-01. This is passed as is to the metastore
Thrift client ``get_partitions_by_name`` method. Note that
you cannot use logical or comparison operators as in
HivePartitionSensor.
:type partition_names: list[str]
:param metastore_conn_id: reference to the metastore thrift service
connection id
:type metastore_conn_id: str
"""
[docs] template_fields = ('partition_names',)
[docs] poke_context_fields = ('partition_names', 'metastore_conn_id')
@apply_defaults
def __init__(
self,
*,
partition_names: List[str],
metastore_conn_id: str = 'metastore_default',
poke_interval: int = 60 * 3,
hook: Any = None,
**kwargs: Any,
):
super().__init__(poke_interval=poke_interval, **kwargs)
self.next_index_to_poke = 0
if isinstance(partition_names, str):
raise TypeError('partition_names must be an array of strings')
self.metastore_conn_id = metastore_conn_id
self.partition_names = partition_names
self.hook = hook
if self.hook and metastore_conn_id != 'metastore_default':
self.log.warning(
'A hook was passed but a non default metastore_conn_id=%s was used', metastore_conn_id
)
@staticmethod
[docs] def parse_partition_name(partition: str) -> Tuple[Any, ...]:
"""Get schema, table, and partition info."""
first_split = partition.split('.', 1)
if len(first_split) == 1:
schema = 'default'
table_partition = max(first_split) # poor man first
else:
schema, table_partition = first_split
second_split = table_partition.split('/', 1)
if len(second_split) == 1:
raise ValueError('Could not parse ' + partition + 'into table, partition')
else:
table, partition = second_split
return schema, table, partition
[docs] def poke_partition(self, partition: str) -> Any:
"""Check for a named partition."""
if not self.hook:
from airflow.providers.apache.hive.hooks.hive import HiveMetastoreHook
self.hook = HiveMetastoreHook(metastore_conn_id=self.metastore_conn_id)
schema, table, partition = self.parse_partition_name(partition)
self.log.info('Poking for %s.%s/%s', schema, table, partition)
return self.hook.check_for_named_partition(schema, table, partition)
[docs] def poke(self, context: Dict[str, Any]) -> bool:
number_of_partitions = len(self.partition_names)
poke_index_start = self.next_index_to_poke
for i in range(number_of_partitions):
self.next_index_to_poke = (poke_index_start + i) % number_of_partitions
if not self.poke_partition(self.partition_names[self.next_index_to_poke]):
return False
self.next_index_to_poke = 0
return True
[docs] def is_smart_sensor_compatible(self):
result = (
not self.soft_fail
and not self.hook
and len(self.partition_names) <= 30
and super().is_smart_sensor_compatible()
)
return result
