pabloem commented on a change in pull request #11582:
URL: https://github.com/apache/beam/pull/11582#discussion_r431363173



##########
File path: sdks/python/apache_beam/io/gcp/bigquery.py
##########
@@ -1641,3 +1644,314 @@ def process(self, unused_element, signal):
                 *self._args,
                 **self._kwargs))
         | _PassThroughThenCleanup(RemoveJsonFiles(gcs_location)))
+
+
+class _ExtractBQData(DoFn):
+  '''
+  PTransform:ReadAllFromBigQueryRequest->FileMetadata that fetches BQ data into
+  a temporary storage and returns metadata for created files.
+  '''
+  def __init__(
+      self,
+      gcs_location_pattern=None,
+      project=None,
+      coder=None,
+      schema=None,
+      kms_key=None):
+
+    self.gcs_location_pattern = gcs_location_pattern
+    self.project = project
+    self.coder = coder or _JsonToDictCoder
+    self.kms_key = kms_key
+    self.split_result = None
+    self.schema = schema
+    self.target_schema = None
+
+  def process(self, element):
+    '''
+    :param element(ReadAllFromBigQueryRequest):
+    :return:
+    '''
+    element.validate()
+    if element.table is not None:
+      table_reference = bigquery_tools.parse_table_reference(element.table)
+      query = None
+      use_legacy_sql = True
+    else:
+      query = element.query
+      use_legacy_sql = element.use_legacy_sql
+
+    flatten_results = element.flatten_results
+
+    bq = bigquery_tools.BigQueryWrapper()
+
+    try:
+      if element.query is not None:
+        self._setup_temporary_dataset(bq, query, use_legacy_sql)
+        table_reference = self._execute_query(
+            bq, query, use_legacy_sql, flatten_results)
+
+      gcs_location = self.gcs_location_pattern.format(uuid.uuid4().hex)
+
+      table_schema = bq.get_table(
+          table_reference.projectId,
+          table_reference.datasetId,
+          table_reference.tableId).schema
+
+      if self.target_schema is None:
+        self.target_schema = bigquery_tools.parse_table_schema_from_json(
+            json.dumps(self.schema))
+
+      if not self.target_schema == table_schema:

Review comment:
       In ReadFromBigQuery, the schema is fetched by querying BigQuery - 
https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L700
   
   ReadFromBigQuery does not expect a user-given schema. I think we should keep 
the schema internal, and not user-provided. This also allows the same transform 
to receive different tables / queries with different schemas in the samne 
pipeline




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