> For the complete documentation index, see [llms.txt](https://upsolver.gitbook.io/content/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://upsolver.gitbook.io/content/release-notes/earlier-releases/2024/january-2024.md).

# January 2024

{% hint style="success" %}
**Release Notes Blog**

For more detailed information on these updates, check out the [Upsolver February 2024 Feature Summary](https://www.upsolver.com/blog/upsolver-february-2024-feature-summary) blog. 
{% endhint %}

## Weekly Software Updates

The following software updates were released in January:

### 2024.01.16-08.45

:arrow\_up: Enhancements 

* [Replication Jobs](/content/reference-1/sql-commands/jobs/create-job/replication.md): 
  * Support [AWS Glue Data Catalog](/content/reference-1/sql-commands/connections/create-connection/aws-glue-data-catalog.md) as a target. This will create a table and maintain schema evolution in the target for every replicated table 
* Performance improvement in transformations of jobs / materialized views 

:wrench: Bug Fixes 

* [Apache Kafka Jobs](/content/reference-1/sql-commands/jobs/create-job/ingestion/apache-kafka.md): 
  * Fixed new Kafka ingestion/data sources stalling when reading from the start in certain situations

***

### 2024.01.09-14.59

:wrench: Bug Fixes

* \[BREAKING CHANGE] 
  * Aggregated Jobs Update: For aggregated jobs ([transformation jobs](/content/reference-1/sql-commands/jobs/create-job/transformation.md) using GROUP BY) with an unspecified time window in time filters, e.g. `WHERE TIME_FILTER()` or `WHERE $event_time BETWEEN RUN_START_TIME() AND RUN_END_TIME()`, the default aggregation window is now set to the job's interval, replacing the previous infinite window default

***

### 2024.01.02-13.40

:wrench: Bug Fixes

* [Amazon S3 data source](/content/reference-1/sql-commands/connections/create-connection/amazon-s3.md): Resolved a rare condition that could lead to duplicated ingestion of the same file in scenarios where an S3 data source is used with a date pattern that does not follow lexicographical order


---

# 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 dynamically by asking a question.

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

```
GET https://upsolver.gitbook.io/content/release-notes/earlier-releases/2024/january-2024.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.