--- title: Reading Delta Lake Tables into Polars DataFrames | daily.dev description: Demonstrates how to read Delta Lake tables into Polars DataFrames using read_delta and scan_delta, including lazy loading and time travel across table versions... canonical: https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Reading Delta Lake Tables into Polars DataFrames | daily.dev og:description: Demonstrates how to read Delta Lake tables into Polars DataFrames using read_delta and scan_delta, including lazy loading and time travel across table versions... og:url: https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8 og:image: https://api.daily.dev/og/posts/pH327BQq8.png og:image:alt: Reading Delta Lake Tables into Polars DataFrames og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Reading Delta Lake Tables into Polars DataFrames **[Delta Lake Blog](https://daily.dev/sources/delta-lake)** · 5 min read · 0 upvotes · 0 comments ## Summary Demonstrates how to read Delta Lake tables into Polars DataFrames using read_delta and scan_delta, including lazy loading and time travel across table versions via the version parameter. Explains how Polars leverages the Delta transaction log to read only required Parquet files, improving efficiency over reading full file footers. Also covers installing Polars with Delta Lake support via pip or conda, and notes that the integration relies on the delta-rs Rust library, with write support and other features planned. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How do I read a Delta Lake table into a Polars DataFrame? Use the read_delta or scan_delta functions from Polars, both requiring the deltalake package installed via pip install polars[deltalake]. read_delta immediately loads the table into memory, while scan_delta lazily reads it, letting Polars optimize the query using the Delta transaction log to skip unnecessary files. _Developers building lakehouse pipelines can track new Polars and Delta Lake capabilities on daily.dev._ ### How does Polars time travel to older versions of a Delta Lake table? Both read_delta and scan_delta accept a version parameter to load a specific historical version instead of the latest one. Polars uses the Delta transaction log to read only the data files needed for that version, so version 0 with a single data file loads far faster than scanning the whole dataset. _Anyone versioning data workloads can follow lakehouse tooling updates like this on daily.dev._ ### What Rust library powers the Delta Lake integration in Polars? The Polars Delta Lake connector depends on delta-rs, a Rust implementation of the Delta Lake protocol. At the time of writing it lacked support for writing to Delta tables, with features like DML transactions, rollbacks, column mapping, and Z-Order still under active development. _Teams evaluating Rust-based data tooling can keep tabs on delta-rs progress via daily.dev._ ## Similar posts on daily.dev - [Run SQL queries on local parquet and delta files using DuckDB](https://daily.dev/posts/run-sql-queries-on-local-parquet-and-delta-files-using-duckdb-0qdy9r9y9) · The Art of Simplicity · 0 upvotes · 0 comments - [How to Use the Polars Library in Python for Data Analysis](https://daily.dev/posts/how-to-use-the-polars-library-in-python-for-data-analysis-stzxazhnq) · freeCodeCamp · 3 upvotes · 0 comments - [Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB](https://daily.dev/posts/modern-dataframes-in-python-a-hands-on-tutorial-with-polars-and-duckdb-ysa2sfbov) · Towards Data Science · 0 upvotes · 0 comments - [Delta Kernel \(Rust\) and the future of the Lakehouse.](https://daily.dev/posts/delta-kernel-rust-and-the-future-of-the-lakehouse--twurulaae) · Confessions of a Data Guy · 9 upvotes · 1 comments - [650GB of Data \(Delta Lake on S3\). Polars vs DuckDB vs Daft vs Spark.](https://daily.dev/posts/650gb-of-data-delta-lake-on-s3-polars-vs-duckdb-vs-daft-vs-spark--bbkmmear9) · Hacker News · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#big-data](https://daily.dev/tags/big-data), [#data-engineering](https://daily.dev/tags/data-engineering), [#polars](https://daily.dev/tags/polars) [View this post on daily.dev](https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Reading Delta Lake Tables into Polars DataFrames","url":"https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8"},"datePublished":"2026-08-16T08:53:44.331Z","dateModified":"2026-08-16T08:56:09.515Z","description":"Demonstrates how to read Delta Lake tables into Polars DataFrames using read_delta and scan_delta, including lazy loading and time travel across table versions...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a0ff137b1672d4ee97205731beb8826f?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a0ff137b1672d4ee97205731beb8826f?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Delta Lake Blog","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Delta Lake Blog","logo":"https://media.daily.dev/image/upload/s--7f2q9Asf--/f_auto,q_auto/v1786870393/logos/delta-lake?_a=BAMAMicg0","url":"https://daily.dev/sources/delta-lake"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,big-data,data-engineering,polars","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Delta Lake Blog","item":"https://daily.dev/sources/delta-lake"},{"@type":"ListItem","position":3,"name":"Reading Delta Lake Tables into Polars DataFrames"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/reading-delta-lake-tables-into-polars-dataframes-ph327bqq8#faq","mainEntity":[{"@type":"Question","name":"How do I read a Delta Lake table into a Polars DataFrame?","acceptedAnswer":{"@type":"Answer","text":"Use the read_delta or scan_delta functions from Polars, both requiring the deltalake package installed via pip install polars[deltalake]. read_delta immediately loads the table into memory, while scan_delta lazily reads it, letting Polars optimize the query using the Delta transaction log to skip unnecessary files. 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