airflow named_hive_partition 源码

  • 2022-10-20
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airflow named_hive_partition 代码

文件路径:/airflow/providers/apache/hive/sensors/named_hive_partition.py

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from typing import TYPE_CHECKING, Any, Sequence

from airflow.sensors.base import BaseSensorOperator

if TYPE_CHECKING:
    from airflow.utils.context import Context


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.
    :param metastore_conn_id: Reference to the
        :ref:`metastore thrift service connection id <howto/connection:hive_metastore>`.
    """

    template_fields: Sequence[str] = ('partition_names',)
    ui_color = '#8d99ae'

    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
    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(f'Could not parse {partition}into table, partition')
        else:
            table, partition = second_split
        return schema, table, partition

    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)

    def poke(self, context: Context) -> 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

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