> For the complete documentation index, see [llms.txt](https://docs.lenses.io/latest/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lenses.io/latest/user-guide/6.2-user-guide/using/using-sql-to-query-kafka/limit-and-sampling.md).

# Limit & Sampling

Understand using limits and sampling when querying Kafka topic data with Lenses SQL Snapshot concepts engine for Apache Kafka

### Limit the output

Use `LIMIT` to limit output records. Use `max.size` to limit the amount of Kafka data scanned:

* `LIMIT` limits returned records.
* `max.size` limits Kafka data scanned, expressed as bytes.

```sql
-- Return at most one record.
SELECT *
FROM groceries
LIMIT 1;

-- Scan at most 1 MB of Kafka data.
SET max.size = '1m';

-- This cap can stop the query before LIMIT finds enough matching records.
SELECT *
FROM groceries;
```

`max.size` is not a memory allocation. It does not set the number of returned records.

### Set a time limit for a query

To restrict the time to run the query, use `SET max.query.time`:

{% code overflow="wrap" %}

```sql
SET  max.query.time = '1h';

SELECT ...
FROM table
LIMIT 1000
```

{% endcode %}

### Sampling data

To sample data and discard the first rows:

```sql
SELECT *
FROM groceries
LIMIT 1,2
```

This statement instructs Lenses to skip the first record matched and then sample the next two.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.lenses.io/latest/user-guide/6.2-user-guide/using/using-sql-to-query-kafka/limit-and-sampling.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
