kevinjqliu commented on code in PR #67:
URL: https://github.com/apache/datafusion-site/pull/67#discussion_r2030181076
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content/blog/2025-04-10-fastest-tpch-generator.md:
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@@ -0,0 +1,613 @@
+---
+layout: post
+title: tpchgen-rs World’s fastest open source TPC-H data generator, written in
Rust
+date: 2025-04-10
+author: Andrew Lamb, Achraf B, and Sean Smith
+categories: [performance]
+---
+
+<!--
+{% comment %}
+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.
+{% endcomment %}
+-->
+
+<style>
+/* Table borders */
+table, th, td {
+ border: 1px solid black;
+ border-collapse: collapse;
+}
+th, td {
+ padding: 3px;
+}
+</style>
+
+3 members of the [Apache DataFusion] community used Rust and open source
+development to build [tpchgen-rs], a fully open TPC-H data generator over 2 0x
Review Comment:
```suggestion
development to build [tpchgen-rs], a fully open TPC-H data generator over 20x
```
##########
content/blog/2025-04-10-fastest-tpch-generator.md:
##########
@@ -0,0 +1,613 @@
+---
+layout: post
+title: tpchgen-rs World’s fastest open source TPC-H data generator, written in
Rust
+date: 2025-04-10
+author: Andrew Lamb, Achraf B, and Sean Smith
+categories: [performance]
+---
+
+<!--
+{% comment %}
+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.
+{% endcomment %}
+-->
+
+<style>
+/* Table borders */
+table, th, td {
+ border: 1px solid black;
+ border-collapse: collapse;
+}
+th, td {
+ padding: 3px;
+}
+</style>
+
+3 members of the [Apache DataFusion] community used Rust and open source
+development to build [tpchgen-rs], a fully open TPC-H data generator over 2 0x
+faster than any other implementation we know of.
+
+It is now possible to create the TPC-H SF=100 dataset in 72.23 seconds (1.4
GB/s
+😎) on a Macbook Air M3 with 16GB of memory, compared to the classic `dbgen`
+which takes 30 minutes<sup>1</sup> (0.05GB/sec). On the same machine, it takes
less than
+2 minutes to create all 3.6 GB of SF=100 in [Apache Parquet] format, which
takes 44 minutes using [DuckDB].
+It is finally convenient and efficient to run TPC-H queries locally when
testing
+analytical engines such as DataFusion.
+
+<img src="/blog/images/fastest-tpch-generator/parquet-performance.png"
alt="Time to create TPC-H parquet dataset for Scale Factor 1, 10, 100 and
1000" width="80%" class="img-responsive">
+
+**Figure 1**: Time to create TPC-H dataset for Scale Factor (see below) 1, 10,
+100 and 1000 as 8 individual SNAPPY compressed parquet files using a 22 core
GCP
+VM with 88GB of memory. For Scale Factor(SF) 100 `tpchgen` takes 1 minute and
14 seconds and
+[DuckDB] takes 17 minutes and 48 seconds. For SF=1000, `tpchgen` takes 10
+minutes and 26 and uses about 5 GB of RAM at peak, and we could not measure
+DuckDB’s time as it [requires 647 GB of RAM], more than the 88 GB that was
+available on our test machine. The testing methodology is in the
+[documentation].
+
+[DuckDB]: https://duckdb.org
+[requires 647 GB of RAM]:
https://duckdb.org/docs/stable/extensions/tpch.html#resource-usage-of-the-data-generator
+[documentation]:
https://github.com/clflushopt/tpchgen-rs/blob/main/benchmarks/BENCHMARKS.md
+
+This blog explains what TPC-H is, how we ported the vintage C data generator to
+Rust (yes, [RWIR]) and optimized its performance over the course of a few weeks
+of part-time work. We began this project so we can easily generate TPC-H data
in
+[Apache DataFusion] and [GlareDB].
+
+[RWIR]: https://www.reddit.com/r/rust/comments/4ri2gn/riir_rewrite_it_in_rust/
+[Apache DataFusion]: https://datafusion.apache.org/
+[GlareDB]: https://glaredb.com/
+
+# Try it for yourself
+
+The tool is entirely open source under the [Apache 2.0
license](https://www.apache.org/licenses/LICENSE-2.0). Visit the [tpchgen-rs
repository](https://github.com/clflushopt/tpchgen-rs) or try it for yourself by
run the following commands after [installing
Rust](https://www.rust-lang.org/tools/install):
+
+```shell
+$ cargo install tpchgen-cli
+
+# create SF=1 in classic TBL format
+$ tpchgen-cli -s 1
+
+# create SF=10 in Parquet
+$ tpchgen-cli -s 10 --format=parquet
+```
+
+# What is TPC-H / dbgen?
+
+The popular [TPC-H] benchmark (often referred to as TPCH) helps evaluate the
+performance of database systems on [OLAP] queries*, *the kind used to build BI
+dashboards.
+
+TPC-H has become a de facto standard for analytic systems. While there are
[well
+known] limitations as the data and queries do not well represent many real
world
+use cases, the majority of analytic database papers and industrial systems
still
+use TPC-H query performance benchmarks as a baseline. You will inevitably find
+multiple results for “`TPCH Performance <your favorite database>`” in any
+search engine.
+
+The benchmark was created at a time when access to high performance analytical
+systems was not widespread, so the [Transaction Processing Performance Council]
+defined a process of formal result verification. More recently, given the broad
+availability of free and open source database systems, it is common for users
to
+run and verify TPC-H performance themselves.
+
+TPC-H simulates a business environment with eight tables: `REGION`, `NATION`,
+`SUPPLIER`, `CUSTOMER`, `PART`, `PARTSUPP`, `ORDERS`, and `LINEITEM`. These
+tables are linked by foreign keys in a normalized schema representing a supply
+chain with parts, suppliers, customers and orders. The benchmark itself is 22
+SQL queries containing joins, aggregations, and sorting operations.
+
+The queries run against data created with <code>[dbgen]</code>, a program
+written in a pre [C-99] dialect, which generates data in a format called *TBL*
+(example in Figure 2). `dbgen` creates data for each of the 8 tables for a
+certain *Scale Factor*, commonly abbreviated as SF. Example Scale Factors and
+corresponding dataset sizes are shown in Table 1. There is no theoretical upper
+bound on the Scale Factor.
+
+[TPC-H]: https://www.tpc.org/tpch/
+[OLAP]: https://en.wikipedia.org/wiki/Online_analytical_processing
+[well known]: https://www.vldb.org/pvldb/vol9/p204-leis.pdf
+[Transaction Processing Performance Council]: https://www.tpc.org/
+[dbgen]: https://github.com/electrum/tpch-dbgen)
Review Comment:
```suggestion
[dbgen]: https://github.com/electrum/tpch-dbgen
```
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