# Tuning Label, Match And Link Jobs

#### numPartitions

The number of Spark partitions over which the input data is distributed. Keep it equal to 20-30 times the number of cores. This is an important configuration for performance.

#### labelDataSampleSize

Fraction of the data to be used for training the models. Adjust it between 0.0001 and 0.1 to keep the sample size small enough so that it finds enough edge cases fast. If the size is bigger, the `findTrainingData` job will spend more time combing through samples. If the size is too small, Zingg may not find the right edge cases.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zingg.ai/latest/stepbystep/configuration/tuning-label-match-and-link-jobs.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.