Persistent Collection
Big Queue
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| Persistent Collection | Big Queue | |
|---|---|---|
| 4 | - | |
| 746 | 545 | |
| - | - | |
| 6.6 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | 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.
Persistent Collection
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I had a great experience with Scala and hopefully it will get more popular
So does Java! Also, kotlinx.collections is still not stable and I don't think they are intending to make it so any time soon.
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What’s so great about functional programming anyway?
> If you are using containers, always, always, always use immutable containers from Google Guava unless you have an exceptionally good reason.
I actually prefer pcollections: https://github.com/hrldcpr/pcollections
AtomicReference + immutable data types is a really nice way to program in Java, and is basically the way most Clojure programs are written.
- Why Java's Records Are Better* Than Lombok's Data and Kotlin's Data Classes
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Libraries, Frameworks and Technologies you would NOT recommend
You might consider persistent collections instead of immutable collections, I believe it is more optimized https://github.com/hrldcpr/pcollections
Big Queue
We haven't tracked posts mentioning Big Queue yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
tape - A lightning fast, transactional, file-based FIFO for Android and Java.
Apache Parquet - Apache Parquet
Protobuf - Protocol Buffers - Google's data interchange format
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec
Apache Thrift - Apache Thrift
dexx - Persistent (immutable) collections for Java and Kotlin
Apache Avro - Apache Avro is a data serialization system.
Apache Orc - Apache ORC - the smallest, fastest columnar storage for Hadoop workloads