spark-redis | allows reading and writing to/from Redis cluster

by RedisLabs Scala Version: 2.4.1 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | spark-redis Summary

spark-redis is a Scala library typically used in Big Data, Spark, Hadoop applications. spark-redis has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

A connector for Spark that allows reading and writing to/from Redis cluster

Support

Quality

Security

License

Reuse

Support

spark-redis has a medium active ecosystem.

It has 908 star(s) with 354 fork(s). There are 70 watchers for this library.

It had no major release in the last 12 months.

There are 101 open issues and 123 have been closed. On average issues are closed in 156 days. There are 21 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-redis is 2.4.1

Quality

spark-redis has 0 bugs and 0 code smells.

Security

spark-redis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spark-redis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-redis is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

spark-redis releases are available to install and integrate.

It has 4895 lines of code, 230 functions and 101 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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spark-redis Key Features

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spark-redis Examples and Code Snippets

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Community Discussions

Trending Discussions on spark-redis

Spark program stucks because of Jedis Pool

Spark Structured Streaming dynamic lookup with Redis

Read data saved by spark redis using Java

QUESTION

Spark program stucks because of Jedis Pool

Asked 2021-Jul-19 at 05:49

According to my previous question with Jedis and threading. I changed my code to use a JedisPool instead of Jedis. But still the program stucks as the threads increase. I tried to increase .setMaxIdle(8000) and .setMaxTotal(8000) and it fix it temporary but later in other runs it stuck again after some iterations. I guess due to lack of connection in the pool (which I close them) but it seems that the threads are not releasing the connection.

Here is the updated version of my connection:

...

ANSWER

Answered 2021-Jul-19 at 05:49

The problem is in your implementation of recursion. You're calling the next recursion stack without releasing the resource. So at some point, the latest stacks are at the scarcity of resources because the older stacks are holding their resources.

So, release the resources before calling next recursion stack.

E.g.

Source https://stackoverflow.com/questions/68432692

QUESTION

Spark Structured Streaming dynamic lookup with Redis

Asked 2020-Dec-16 at 12:02

i am new to spark. We are currently building a pipeline :

Read the events from Kafka topic
Enrich this data with the help of Redis-Lookup
Write events to the new Kafka topic

So, my problem is when i want to use spark-redis library it performs very well, but data stays static in my streaming job.

Although data is refreshed at Redis, it does not reflect to my dataframe. Spark reads data at first then never updates it. Also i am reading from REDIS data at first,total data about 1mio key-val string.

What kind of approaches/methods i can do, i want to use Redis as in-memory dynamic lookup. And lookup table is changing almost 1 hour.

Thanks.

used libraries: spark-redis-2.4.1.jar commons-pool2-2.0.jar jedis-3.2.0.jar

Here is the code part:

...

ANSWER

Answered 2020-Oct-29 at 16:30

One option is to not use spark-redis, but rather lookup in Redis directly. This can be achieved with df.mapPartitions function. You can find some examples for Spark DStreams here https://blog.codecentric.de/en/2017/07/lookup-additional-data-in-spark-streaming/. The idea for Structural Streaming is similar. Be careful to handle the Redis connection properly.

Source https://stackoverflow.com/questions/64592973

QUESTION

Read data saved by spark redis using Java

Asked 2020-Nov-07 at 16:52

I using spark-redis to save Dataset to Redis. Then I read this data by using Spring data redis:

This object I save to redis:

...

ANSWER

Answered 2020-Nov-07 at 16:52

The following works for me.

Writing data from spark-redis.

I use Scala here, but it's essentially the same as you do in Java. The only thing I changed is I added a .option("key.column", "id") to specify the hash id.

Source https://stackoverflow.com/questions/63686047

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