python/dataproc_templates/bigquery/bigquery_to_memorystore.py (130 lines of code) (raw):

# 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. from typing import Dict, Sequence, Optional, Any from logging import Logger import argparse import pprint from pyspark.sql import SparkSession, DataFrameWriter 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 __all__ = ['BigQueryToMemorystoreTemplate'] class BigQueryToMemorystoreTemplate(BaseTemplate): """ Dataproc template implementing exports from BigQuery to Memorystore """ @staticmethod def parse_args(args: Optional[Sequence[str]] = None) -> Dict[str, Any]: parser: argparse.ArgumentParser = argparse.ArgumentParser() 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)' ) ) known_args: argparse.Namespace known_args, _ = parser.parse_known_args(args) return vars(known_args) def run(self, spark: SparkSession, args: Dict[str, Any]) -> None: logger: Logger = self.get_logger(spark=spark) # Arguments input_table: str = args[constants.BQ_MEMORYSTORE_INPUT_TABLE] 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] logger.info( "Starting Bigquery to Memorystore Spark job with parameters:\n" f"{pprint.pformat(args)}" ) # Read input_data = spark.read \ .format(constants.FORMAT_BIGQUERY) \ .option(constants.TABLE, input_table) \ .load() # 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()