pabloem commented on code in PR #17159: URL: https://github.com/apache/beam/pull/17159#discussion_r864037081
########## sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py: ########## @@ -0,0 +1,89 @@ +# +# 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. +# + +"""Tools used tool work with Schema types in the context of BigQuery. +Classes, constants and functions in this file are experimental and have no +backwards compatibility guarantees. +NOTHING IN THIS FILE HAS BACKWARDS COMPATIBILITY GUARANTEES. +""" + +from typing import Optional +from typing import Sequence + +import numpy as np + +import apache_beam as beam +from apache_beam.io.gcp.internal.clients import bigquery + +# BigQuery types as listed in +# https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types +# with aliases (RECORD, BOOLEAN, FLOAT, INTEGER) as defined in +# https://developers.google.com/resources/api-libraries/documentation/bigquery/v2/java/latest/com/google/api/services/bigquery/model/TableFieldSchema.html#setType-java.lang.String- +BIG_QUERY_TO_PYTHON_TYPES = { + "STRING": str, + "INTEGER": np.int64, + "FLOAT64": np.float64, + "BOOLEAN": bool, + "BYTES": bytes, + "TIMESTAMP": beam.utils.timestamp.Timestamp, + #TODO svetaksundhar@: Finish mappings for all BQ types +} + + +def produce_pcoll_with_schema(the_table_schema): + #type: (bigquery.TableSchema) -> type + + """Convert a schema of type TableSchema into a pcollection element. + Args: + the_table_schema: A BQ schema of type TableSchema + Returns: + type: type that can be used to work with pCollections. + """ + + the_schema = beam.io.gcp.bigquery_tools.get_dict_table_schema( + the_table_schema) + if the_schema == {}: + raise ValueError("The schema is empty") + dict_of_tuples = [] + for i in range(len(the_schema['fields'])): + if the_schema['fields'][i]['type'] in BIG_QUERY_TO_PYTHON_TYPES: + typ = bq_field_to_type( + the_schema['fields'][i]['type'], the_schema['fields'][i]['mode']) + else: + raise ValueError(the_schema['fields'][i]['type']) + # TODO svetaksundhar@: Map remaining BQ types + dict_of_tuples.append((the_schema['fields'][i]['name'], typ)) + sample_schema = beam.typehints.schemas.named_fields_to_schema(dict_of_tuples) + usertype = beam.typehints.schemas.named_tuple_from_schema(sample_schema) Review Comment: it's complaining that it can't serialize this particular type @TheNeuralBit are you familiar with an error like this? Svetak is trying to use this type to verify a pipeline (see below `utype = ...`, and getting a pickling error like here: https://ci-beam.apache.org/job/beam_PreCommit_Python_Commit/22926/testReport/junit/apache_beam.io.gcp.bigquery_test/TestReadFromBigQuery/test_table_schema_retrieve/ have you seen this before? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
