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commit 8ecf4df95d9b3ffd613bfb18319c1104271ac86f Author: Andrew Lamb <[email protected]> AuthorDate: Mon Oct 17 16:54:27 2022 -0400 Tweak --- _posts/2022-10-08-arrow-parquet-encoding-part-2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_posts/2022-10-08-arrow-parquet-encoding-part-2.md b/_posts/2022-10-08-arrow-parquet-encoding-part-2.md index 62bf19e6b9..c88b13eb25 100644 --- a/_posts/2022-10-08-arrow-parquet-encoding-part-2.md +++ b/_posts/2022-10-08-arrow-parquet-encoding-part-2.md @@ -343,6 +343,6 @@ The example above would therefore be encoded as ## Next up: Arbitrary Nesting: Lists of Structs and Structs of Lists -In our [final blog post](https://arrow.apache.org/blog/2022/10/17/arrow-parquet-encoding-part-3/) we will explain how Parquet and Arrow combine these concepts to support arbitrary nesting of potentially nullable data structures. +In our [final blog post](https://arrow.apache.org/blog/2022/10/17/arrow-parquet-encoding-part-3/), we explain how Parquet and Arrow combine these concepts to support arbitrary nesting of potentially nullable data structures. If you want to store and process structured types, you will be pleased to hear that the Rust [parquet](https://crates.io/crates/parquet) implementation fully supports reading and writing directly into Arrow, as simply as any other type. All the complex record shredding and reconstruction is handled automatically. With this and other exciting features such as [reading asynchronously](https://docs.rs/parquet/22.0.0/parquet/arrow/async_reader/index.html) from [object storage](https://docs. [...]
