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docs/explore/redismod/index-redismod.mdx

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This simple container image bundles together the latest stable releases of Redis and select Redis modules.
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This image is based on the official image of Redis from Docker. By default, the container starts with Redis' default configuration and all included modules loaded.
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### Modules included in the container
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### Features included in the container
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- [RediSearch](https://redis.com/modules/redis-search/): a full-featured search engine
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- [RedisGraph](https://redis.com/modules/redis-graph/): a graph database
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- [RedisTimeSeries](https://redis.com/modules/redis-timeseries/): a timeseries database
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- [RedisAI](https://redis.com/modules/redis-ai/): a tensor and deep learning model server
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- [RedisJSON](https://redis.com/modules/redis-json/): a native JSON data type
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- [RedisBloom](https://redis.com/modules/redis-bloom/): native Bloom and Cuckoo Filter data types
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- [RedisGears](https://redis.com/modules/redis-gears/): a dynamic execution framework
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- [Search](https://redis.com/modules/redis-search/): a full-featured search engine
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- [Time Series](https://redis.com/modules/redis-timeseries/): a timeseries database
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- [JSON](https://redis.com/modules/redis-json/): a native JSON data type
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- [Probabilistic data](https://redis.com/modules/redis-bloom/): native Bloom and Cuckoo Filter data types
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### Step 1. Install Docker
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module:name=search,ver=20006,api=1,filters=0,usedby=[],using=[],options=[]
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```
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### Step 5. Testing Redis Modules
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### Step 5. Testing Redis Search
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Let us test drive RediSearch modules as discussed below in detail.
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Let us test drive Redis Search as discussed below in detail.
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#### Insert data into RediSearch
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#### Insert data into Redis Search
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We are now ready to insert some data. This example uses movies data stored as Redis Hashes, so let’s insert a couple of movies:
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HMGET movies:11002 title rating
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```
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#### Create an index in RediSearch
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#### Create an index in Redis Search
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To be able to query the hashes on the field for title, say, or genre, you must first create an index. To create an index, you must define a schema to list the fields and their types that are indexed, and that you can use in your queries.
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FT.CREATE idx:movies ON hash PREFIX 1 "movies:" SCHEMA title TEXT SORTABLE release_year NUMERIC SORTABLE rating NUMERIC SORTABLE genre TAG SORTABLE
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```
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#### Search the movies in the RediSearch index
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#### Search the movies in the Redis Search index
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You can now use the FT.SEARCH to search your database, for example, to search all movies sorted by release year:
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```
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To test drive rest of Redis modules, please visit the links mentioned under "References" section.
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### References
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- [Indexing, Querying, and Full-Text Search of JSON Documents with Redis](https://redis.com/blog/index-and-query-json-docs-with-redis/)
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- [Redismod GITHUB repository](https://github.com/RedisLabsModules/redismod)
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- [Connecting to the database using RedisInsight](https://developer.redis.com/explore/redisinsight/)
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- [RedisJSON Tutorial](https://developer.redis.com/howtos/redisjson/)
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- [RedisTimeSeries Tutorial](https://developer.redis.com/howtos/redistimeseries)
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- [RedisGraph Tutorial](https://developer.redis.com/howtos/redisgraph)
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- [RedisBloom Tutorial](https://developer.redis.com/howtos/redisbloom)
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- [RedisGears Tutorial](https://developer.redis.com/howtos/redisgears)

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