timsaucer commented on code in PR #666: URL: https://github.com/apache/datafusion-python/pull/666#discussion_r1598480165
########## examples/tpch/README.md: ########## @@ -0,0 +1,57 @@ +<!--- + 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. +--> + +# DataFusion Python Examples for TPC-H + +These examples reproduce the problems listed in the Transaction Process Council +TPC-H benchmark. The purpose of these examples is to demonstrate how to use +different aspects of Data Fusion and not necessarily geared towards creating the +most performant queries possible. Within each example is a description of the +problem. For users who are familiar with SQL style commands, you can compare the +approaches in these examples with those listed in the specification. + +- https://www.tpc.org/tpch/ + +The examples provided are based on version 2.18.0 of the TPC-H specification. + +## Data Setup + +To run these examples, you must first generate a dataset. The `dbgen` tool +provided by TPC can create datasets of arbitrary scale. For testing it is +typically sufficient to create a 1 gigabyte dataset. For convenience, this +repository has a script which uses docker to create this dataset. From the +`benchmarks/tpch` directory execute the following script. + +```bash +./tpch-gen.sh 1 +``` + +The examples provided use parquet files for the tables generated by `dbgen`. +An python script is provided to convert the text files from `dbgen` into parquet Review Comment: Corrected -- 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] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
