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Commit f615b6a

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BigQuery Storage: Update to use faster Arrow data format. (GoogleCloudPlatform#2269)
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‎bigquery_storage/to_dataframe/main_test.py

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+13-7Lines changed: 13 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -33,7 +33,7 @@ def clients():
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# Make clients.
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bqclient = bigquery.Client(
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credentials=credentials,
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project=your_project_id
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project=your_project_id,
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)
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bqstorageclient = bigquery_storage_v1beta1.BigQueryStorageClient(
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credentials=credentials
@@ -90,11 +90,6 @@ def test_query_to_dataframe(capsys, clients):
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dataframe = (
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bqclient.query(query_string)
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.result()
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# Note: The BigQuery Storage API cannot be used to download small query
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# results, but as of google-cloud-bigquery version 1.11.1, the
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# to_dataframe method will fallback to the tabledata.list API when the
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# BigQuery Storage API fails to read the query results.
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.to_dataframe(bqstorage_client=bqstorageclient)
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)
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print(dataframe.head())
@@ -126,7 +121,18 @@ def test_session_to_dataframe(capsys, clients):
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parent = "projects/{}".format(your_project_id)
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session = bqstorageclient.create_read_session(
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table, parent, read_options=read_options
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table,
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parent,
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read_options=read_options,
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# This API can also deliver data serialized in Apache Avro format.
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# This example leverages Apache Arrow.
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format_=bigquery_storage_v1beta1.enums.DataFormat.ARROW,
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# We use a LIQUID strategy in this example because we only read from a
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# single stream. Consider BALANCED if you're consuming multiple streams
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# concurrently and want more consistent stream sizes.
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sharding_strategy=(
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bigquery_storage_v1beta1.enums.ShardingStrategy.LIQUID
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),
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)
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# This example reads from only a single stream. Read from multiple streams
+4-4Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
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google-auth==1.6.2
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google-cloud-bigquery-storage==0.3.0
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google-cloud-bigquery==1.11.1
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fastavro==0.21.17
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google-cloud-bigquery-storage==0.6.0
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google-cloud-bigquery==1.17.0
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pyarrow==0.13.0
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ipython==7.2.0
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pandas==0.24.0
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pandas==0.24.2

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