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()