pqrs
Apache Parquet
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| pqrs | Apache Parquet | |
|---|---|---|
| 4 | 4 | |
| 249 | 2,398 | |
| - | 2.5% | |
| 4.9 | 9.2 | |
| 22 days ago | 7 days ago | |
| Rust | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pqrs
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Querying Postgres Tables Directly from DuckDB
This won't let you ETL from PG to parquet, but I used this in anger the other day https://github.com/manojkarthick/pqrs Worked quite well for my purposes!
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Holy Uck Fast Analysis with DuckDB and Pyarrow
Shameless plug, my project exposes the common Parquet operations using a Rust CLI tool using the Rust API for Apache Arrow and can be used without any Java/Hadoop/Spark dependencies. Also available a static binary.
https://github.com/manojkarthick/pqrs
- Pqrs: A Command line tool for inspecting Parquet files
- pqrs: A parquet-tools replacement in Rust using Apache Arrow
Apache Parquet
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How-to-Guide: Contributing to Open Source
Apache Parquet
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parquet-tools
This go implementation, other than common advantages from go itself (small single executable, support multiple platforms, speed, etc.), has some neat features compare with Java parquet tool and Python one like:
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Writing Apache Parquet Files
Hi, I've been trying to write parquet files on android for the past couple of days, and have really been struggling to find a solution. My original hypothesis was to just use the java parquet implementation (https://github.com/apache/parquet-mr), but I've since realized that not all java libraries play well with Android. I've gone through essentially dependency hell trying to franken-fit the library into my project, and imported as much as i could before hitting walls such as this one (https://github.com/mockito/mockito/issues/841).
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pqrs: A parquet-tools replacement in Rust using Apache Arrow
Like many of you probably do, I tend to work with Parquet files a lot. parquet-tools has been my tool of choice for inspecting parquet files, but that has been deprecated recently. So, I created a replacement for it using Rust and Apache Arrow.
What are some alternatives?
deno - A modern runtime for JavaScript and TypeScript.
Protobuf - Protocol Buffers - Google's data interchange format
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
Apache Thrift - Apache Thrift
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
Apache Avro - Apache Avro is a data serialization system.
parquet2 - Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow
Apache Orc - Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
Big Queue - A big, fast and persistent queue based on memory mapped file.
raku-Dan - Top level raku Data ANalysis Module
Persistent Collection - A Persistent Java Collections Library