https://github.com/redistimeseries/jredistimeseries

Java Client for RedisTimeSeries
https://github.com/redistimeseries/jredistimeseries

java java-client redis timeseries

Last synced: 3 months ago
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Java Client for RedisTimeSeries

• Host: GitHub
• URL: https://github.com/redistimeseries/jredistimeseries
• Owner: RedisTimeSeries
• License: bsd-3-clause
• Created: 2019-01-21T15:18:32.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-31T10:05:30.000Z (over 3 years ago)
• Last Synced: 2025-06-24T01:38:11.637Z (11 months ago)
• Topics: java, java-client, redis, timeseries
• Language: Java
• Homepage: https://redistimeseries.io
• Size: 144 KB
• Stars: 34
• Watchers: 5
• Forks: 16
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# JRedisTimeSeries

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[![Discord](https://img.shields.io/discord/697882427875393627?style=flat-square)](https://discord.gg/KExRgMb)

Java Client for RedisTimeSeries

## Deprecation notice

As of [Jedis 4.2.0](https://github.com/redis/jedis), this library is deprecated. Its features have been merged into Jedis. Please install it either [from maven](https://mvnrepository.com/artifact/redis.clients/jedis) or [the repo](https://github.com/redis/jedis).

### Official Releases

```xml

  

    

      com.redislabs

      jredistimeseries

      1.4.0

    

  

```

### Snapshots

```xml

  

    

      snapshots-repo

      https://oss.sonatype.org/content/repositories/snapshots

    

  

```

and

```xml

  

    

      com.redislabs

      jredistimeseries

      1.5.0-SNAPSHOT

    

  

```

# Example: Using the Java Client

```java

   RedisTimeSeries rts = new RedisTimeSeries("localhost", 6379);

   Map labels = new HashMap<>();

   labels.put("country", "US");

   labels.put("cores", "8");

   rts.create("cpu1", 60*10 /*10min*/, labels);

   rts.create("cpu1-avg", 60*10 /*10min*/, null);

   rts.createRule("cpu1", Aggregation.AVG, 60 /*1min*/, "cpu1-avg");

   rts.add("cpu1", System.currentTimeMillis()/1000 /* time sec */, 80.0);

   // Get all the timeseries in US in the last 10min average per min

   rts.mrange(System.currentTimeMillis()/1000 - 10*60, System.currentTimeMillis()/1000, Aggregation.AVG, 60, "country=US")

```