This is an automated email from the ASF dual-hosted git repository.
agrove pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/arrow-datafusion-python.git
The following commit(s) were added to refs/heads/main by this push:
new 9c643bf feat: add example of reading parquet from s3 (#460)
9c643bf is described below
commit 9c643bf2ae63894952be69b5fa2ae145f160971a
Author: Daniel Mesejo <[email protected]>
AuthorDate: Tue Aug 22 15:44:55 2023 +0200
feat: add example of reading parquet from s3 (#460)
---
examples/sql-parquet-s3.py | 39 +++++++++++++++++++++++++++++++++++++++
1 file changed, 39 insertions(+)
diff --git a/examples/sql-parquet-s3.py b/examples/sql-parquet-s3.py
new file mode 100644
index 0000000..bd7da5e
--- /dev/null
+++ b/examples/sql-parquet-s3.py
@@ -0,0 +1,39 @@
+# 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.
+
+import os
+import datafusion
+from datafusion.object_store import AmazonS3
+
+region = "us-east-1"
+bucket_name = "yellow-trips"
+
+s3 = AmazonS3(
+ bucket_name=bucket_name,
+ region=region,
+ access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
+ secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
+)
+
+ctx = datafusion.SessionContext()
+path = f"s3://{bucket_name}/"
+ctx.register_object_store(path, s3)
+
+ctx.register_parquet("trips", path)
+
+df = ctx.sql("select count(passenger_count) from trips")
+df.show()
