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# Delta Lake 0.5.0 Released

**[Delta Lake Blog](https://daily.dev/sources/delta-lake)** · 3 min read · 0 upvotes · 0 comments

## Summary

Delta Lake 0.5.0 adds support for querying Delta tables from Presto and Amazon Athena via manifest files, along with improved concurrency for operations like deletes, updates, and merges on disjoint partitions. The release also improves file compaction support, boosts insert-only merge performance for continuous deduplication use cases, adds SQL support for Convert-to-Delta, and introduces experimental support for querying Delta tables from Snowflake and Redshift Spectrum.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://delta.io/blog/2019-12-13-delta-lake-0-5-0-released>

## Questions this post answers

### How do I query a Delta Lake table from Presto or Amazon Athena?

Delta Lake 0.5.0 adds support for querying Delta tables from Presto and Amazon Athena using manifest files. These manifest files can be generated using Scala, Java, Python, or SQL APIs, and once generated, Presto or Athena can read the Delta table through them.

_daily.dev surfaces release notes like this for engineers wiring Delta Lake into Presto or Athena pipelines._

### Does Delta Lake support concurrent updates and merges on the same table?

Yes, as of version 0.5.0, Delta Lake improved optimistic concurrency control with more fine-grained conflict detection. This allows running deletes on older partitions concurrently with appends to newer partitions, running updates and merges concurrently on disjoint partition sets, and running file compactions concurrently with appends.

_Teams designing concurrent Delta Lake workflows track version-specific capability changes on daily.dev._

### Can I use insert-only merges in Delta Lake for deduplicating streaming data?

Yes, Delta Lake 0.5.0 improved performance for merge operations containing only insert clauses, ensuring such merges append only new data to the table. This makes it possible to combine Structured Streaming with insert-only merges to perform continuous deduplication of data such as logs.

_daily.dev helps data engineers keep up with streaming deduplication patterns like this one._

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- [DuckLake 1.0: Data Lake Format with SQL Catalog Metadata](https://daily.dev/posts/ducklake-1-0-data-lake-format-with-sql-catalog-metadata-i1k4mw1ne) · InfoQ · 0 upvotes · 0 comments

---

Tags: [#backend](https://daily.dev/tags/backend), [#big-data](https://daily.dev/tags/big-data), [#data-engineering](https://daily.dev/tags/data-engineering), [#apache-spark](https://daily.dev/tags/apache-spark)

[View this post on daily.dev](https://daily.dev/posts/delta-lake-0-5-0-released-lpsaut3lo)

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