| # 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. |
| |
| # %% |
| |
| from ballista import BallistaBuilder |
| from datafusion.context import SessionContext |
| |
| ctx: SessionContext = ( |
| BallistaBuilder() |
| .config("ballista.job.name", "Readme Example") |
| .config("datafusion.execution.target_partitions", "4") |
| .standalone() |
| ) |
| |
| ctx.sql("create external table t stored as parquet location '../testdata/test.parquet'") |
| |
| # %% |
| df = ctx.sql("select * from t limit 5") |
| pyarrow_batches = df.collect() |
| pyarrow_batches[0].to_pandas() |
| # %% |
| df = ctx.read_parquet("../testdata/test.parquet").limit(5) |
| pyarrow_batches = df.collect() |
| pyarrow_batches[0].to_pandas() |
| # %% |