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Dec 3, 2024
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Add spark sql example #1510

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35 changes: 35 additions & 0 deletions docs/hub/datasets-spark.md
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Expand Up @@ -238,6 +238,41 @@ To filter the dataset and only keep dialogues in Chinese:
+---+----------------------------+-----+----------+----------+
```

### Run SQL queries

Once you have your PySpark Dataframe ready, you can run SQL queries using `spark.sql`:

```python
>>> from pyspark.sql import SparkSession
>>> spark = SparkSession.builder.appName("demo").getOrCreate()
>>> df = read_parquet("hf://datasets/BAAI/Infinity-Instruct/7M/*.parquet", columns=["source"])
>>> spark.sql("SELECT source, count(*) AS total FROM {df} GROUP BY source ORDER BY total DESC", df=df).show()
+--------------------+-------+
| source| total|
+--------------------+-------+
| flan|2435840|
| Subjective|1342427|
| OpenHermes-2.5| 855478|
| MetaMath| 690138|
| code_exercises| 590958|
|Orca-math-word-pr...| 398168|
| code_bagel| 386649|
| MathInstruct| 329254|
|python-code-datas...| 88632|
|instructional_cod...| 82920|
| CodeFeedback| 79513|
|self-oss-instruct...| 50467|
|Evol-Instruct-Cod...| 43354|
|CodeExercise-Pyth...| 27159|
|code_instructions...| 23130|
| Code-Instruct-700k| 10860|
|Glaive-code-assis...| 9281|
|python_code_instr...| 2581|
|Python-Code-23k-S...| 2297|
+--------------------+-------+
```


## Write

We also provide a helper function to write datasets in a distributed manner to a Hugging Face repository.
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