semvec/pypi-packages huggingface dataset:
tpchgen-cli 2.0.2
Python CLI for TPC-H data generator
License: Apache-2.0
Requires Python: >=3.8

# TPC-H Data Generator CLI

`tpchgen-cli` is a high-performance, parallel TPC-H data generator command line
tool

This tool is more than 10x faster than the next fastest TPCH generator we know
of (`duckdb`). On a 2023 Mac M3 Max laptop, it easily generates data faster than
can be written to SSD. See [BENCHMARKS.md] for more details on performance and
benchmarking.

[BENCHMARKS.md]: https://github.com/clflushopt/tpchgen-rs/blob/main/benchmarks/BENCHMARKS.md

* See the tpchgen [README.md](https://github.com/clflushopt/tpchgen-rs) for
project details
* Watch this [awesome demo](https://www.youtube.com/watch?v=UYIC57hlL14)  by
[@alamb](https://github.com/alamb) to see `tpchgen-cli` in action
* Read the companion blog post in the
[Datafusion
blog](https://datafusion.apache.org/blog/2025/04/10/fastest-tpch-generator/) to learn about the project's history
* Try it yourself by following the instructions below

## Install via `pip`

```shell
pip install tpchgen-cli
```

## Install via Rust

[Install Rust](https://www.rust-lang.org/tools/install) and compile

```shell
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
RUSTFLAGS='-C target-cpu=native' cargo install tpchgen-cli
```

## Examples

```shell
# Scale Factor 10, all tables, in Apache Parquet format in the current directory
# (3.6GB, 8 files, 60M lineitem rows, in 5 seconds on a modern laptop)
tpchgen-cli -s 10 --format=parquet

# Scale Factor 10, all tables, in `tbl`(csv like) format in the `sf10` directory
# (10GB, 8 files, 60M lineitem rows)
tpchgen-cli -s 10 --output-dir sf10

# Scale Factor 1000, lineitem table, in Apache Parquet format in sf1000 directory, 
# 20 part(ititons), 100MB row groups
# (220GB, 20 files, 6B lineitem rows, 3.5 minutes on a modern laptop)
tpchgen-cli -s 1000 --tables lineitem --parts 20 --format=parquet --parquet-row-group-bytes=100000000 --output-dir sf1000

# Scale Factor 10, partition 2 and 3 of 10 in sf10 directory
#
# partitioned/
# ├── lineitem
# │   ├── lineitem.2.tbl
# │   └── lineitem.3.tbl
# └── orders
#    ├── orders.2.tbl
#    └── orders.3.tbl
#     
for PART in `seq 2 3`; do
  tpchgen-cli --tables lineitem,orders --scale-factor=10 --output-dir partitioned --parts 10 --part $PART
done
```

## Performance

| Scale Factor | `tpchgen-cli` | DuckDB     | DuckDB (proprietary) |
| ------------ | ------------- | ---------- | -------------------- |
| 1            | `0:02.24`     | `0:12.29`  | `0:10.68`            |
| 10           | `0:09.97`     | `1:46.80`  | `1:41.14`            |
| 100          | `1:14.22`     | `17:48.27` | `16:40.88`           |
| 1000         | `10:26.26`    | N/A (OOM)  | N/A (OOM)            |

- DuckDB (proprietary) is the time required to create TPCH data using the
  proprietary DuckDB format
- Creating Scale Factor 1000 data in DuckDB [required 647 GB of memory](https://duckdb.org/docs/stable/extensions/tpch.html#resource-usage-of-the-data-generator),
  which is why it is not included in the table above.

Times to create TPCH tables in Parquet format using `tpchgen-cli` and `duckdb` for various scale factors.