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feat: added BigQuery to Memorystore python template (#1033)
* feat: added BigQuery to Memorystore python template * ci: added integration tests for BigqueryToMemorystore * test: added test cases for BigQuery To Memorystore template * test: fixed test cases for BigQuery To Memorystore template * test: fixed test cases for BigQuery To Memorystore template
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python/dataproc_templates/bigquery/bigquery_to_memorystore.py
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# Copyright 2022 Google LLC | ||
# | ||
# Licensed 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 | ||
# | ||
# https://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. | ||
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from typing import Dict, Sequence, Optional, Any | ||
from logging import Logger | ||
import argparse | ||
import pprint | ||
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from pyspark.sql import SparkSession, DataFrameWriter | ||
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from dataproc_templates import BaseTemplate | ||
from dataproc_templates.util.argument_parsing import add_spark_options | ||
from dataproc_templates.util.dataframe_writer_wrappers import persist_dataframe_to_cloud_storage | ||
import dataproc_templates.util.template_constants as constants | ||
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__all__ = ['BigQueryToMemorystoreTemplate'] | ||
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class BigQueryToMemorystoreTemplate(BaseTemplate): | ||
""" | ||
Dataproc template implementing exports from BigQuery to Memorystore | ||
""" | ||
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@staticmethod | ||
def parse_args(args: Optional[Sequence[str]] = None) -> Dict[str, Any]: | ||
parser: argparse.ArgumentParser = argparse.ArgumentParser() | ||
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parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_INPUT_TABLE}', | ||
dest=constants.BQ_MEMORYSTORE_INPUT_TABLE, | ||
required=True, | ||
help='BigQuery Input table name' | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_HOST}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_HOST, | ||
required=True, | ||
help='Redis Memorystore host', | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_PORT}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_PORT, | ||
required=False, | ||
default=6379, | ||
help='Redis Memorystore port. Defaults to 6379', | ||
) | ||
#todo: add defaults | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_TABLE}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_TABLE, | ||
required=True, | ||
help='Redis Memorystore target table name', | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_KEY_COLUMN}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_KEY_COLUMN, | ||
required=True, | ||
help='Redis Memorystore key column for target table', | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_MODEL}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_MODEL, | ||
required=False, | ||
default=constants.BQ_MEMORYSTORE_OUTPUT_MODEL_HASH, | ||
help=( | ||
'Memorystore persistence model for Dataframe' | ||
'(one of: hash, binary) ' | ||
'(Defaults to hash)' | ||
), | ||
choices=[ | ||
constants.BQ_MEMORYSTORE_OUTPUT_MODEL_HASH, | ||
constants.BQ_MEMORYSTORE_OUTPUT_MODEL_BINARY | ||
] | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_MODE}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_MODE, | ||
required=False, | ||
default=constants.OUTPUT_MODE_APPEND, | ||
help=( | ||
'Output write mode ' | ||
'(one of: append,overwrite,ignore,errorifexists) ' | ||
'(Defaults to append)' | ||
), | ||
choices=[ | ||
constants.OUTPUT_MODE_OVERWRITE, | ||
constants.OUTPUT_MODE_APPEND, | ||
constants.OUTPUT_MODE_IGNORE, | ||
constants.OUTPUT_MODE_ERRORIFEXISTS | ||
] | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_TTL}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_TTL, | ||
required=False, | ||
default=0, | ||
help=( | ||
'Data time to live in seconds. Data doesn\'t expire if ttl is less than 1' | ||
'(Defaults to 0)' | ||
) | ||
) | ||
parser.add_argument( | ||
f'--{constants.BQ_MEMORYSTORE_OUTPUT_DBNUM}', | ||
dest=constants.BQ_MEMORYSTORE_OUTPUT_DBNUM, | ||
required=False, | ||
default=0, | ||
help=( | ||
'Database / namespace for logical key separation' | ||
'(Defaults to 0)' | ||
) | ||
) | ||
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known_args: argparse.Namespace | ||
known_args, _ = parser.parse_known_args(args) | ||
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return vars(known_args) | ||
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def run(self, spark: SparkSession, args: Dict[str, Any]) -> None: | ||
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logger: Logger = self.get_logger(spark=spark) | ||
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# Arguments | ||
input_table: str = args[constants.BQ_MEMORYSTORE_INPUT_TABLE] | ||
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output_table: str = args[constants.BQ_MEMORYSTORE_OUTPUT_TABLE] | ||
host: str = args[constants.BQ_MEMORYSTORE_OUTPUT_HOST] | ||
port: str = args[constants.BQ_MEMORYSTORE_OUTPUT_PORT] | ||
key_column: str = args[constants.BQ_MEMORYSTORE_OUTPUT_KEY_COLUMN] | ||
model: str = args[constants.BQ_MEMORYSTORE_OUTPUT_MODEL] | ||
ttl: int = args[constants.BQ_MEMORYSTORE_OUTPUT_TTL] | ||
dbnum: int = args[constants.BQ_MEMORYSTORE_OUTPUT_DBNUM] | ||
output_mode: str = args[constants.BQ_MEMORYSTORE_OUTPUT_MODE] | ||
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logger.info( | ||
"Starting Bigquery to Memorystore Spark job with parameters:\n" | ||
f"{pprint.pformat(args)}" | ||
) | ||
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# Read | ||
input_data = spark.read \ | ||
.format(constants.FORMAT_BIGQUERY) \ | ||
.option(constants.TABLE, input_table) \ | ||
.load() | ||
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# Write | ||
input_data.write \ | ||
.format(constants.FORMAT_MEMORYSTORE) \ | ||
.option(constants.TABLE, output_table) \ | ||
.option(constants.MEMORYSTORE_KEY_COLUMN, key_column) \ | ||
.option(constants.MEMORYSTORE_MODEL, model) \ | ||
.option(constants.MEMORYSTORE_HOST, host) \ | ||
.option(constants.MEMORYSTORE_PORT, port) \ | ||
.option(constants.MEMORYSTORE_DBNUM, dbnum) \ | ||
.option(constants.MEMORYSTORE_TTL, ttl) \ | ||
.mode(output_mode) \ | ||
.save() |
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