alamb commented on code in PR #67:
URL: https://github.com/apache/datafusion-site/pull/67#discussion_r2029838372
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content/blog/2025-04-10-fastest-tpch-generator.md:
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+---
+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]
+---
+
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+
+<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 10x
+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.
Review Comment:
@clflushopt,
When reading this introduction I think it would also be nice to report the
time taken to create Scale Factor 100 using DuckDB (my laptop has more memory
and I think the numbers with more modest specs are more compelling)
Is there any chance you can time how long it takes to run this script on
your machine?
```sql
INSTALL tpch;
LOAD tpch;
.open test
.timer on
CALL dbgen(sf = 100);
-- Export each table to Parquet format
copy customer to 'customer.parquet' (FORMAT parquet);
copy lineitem to 'lineitem.parquet' (FORMAT parquet);
copy nation to 'supplier.parquet' (FORMAT parquet);
copy orders to 'supplier.parquet' (FORMAT parquet);
copy part to 'part.parquet' (FORMAT parquet);
copy partsupp to 'partsupp.parquet' (FORMAT parquet);
copy region to 'region.parquet' (FORMAT parquet);
copy supplier to 'supplier.parquet' (FORMAT parquet);
```
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