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Redis Stack
(& RedisInsight*)
Guy Korland, PhD.
CTO of Incubation, Redis
Redis Stack
Redis Stack Server
https://redis.io/docs/stack/
Query (a.k.a RediSearch)
● Complex Query
● Aggregation
● Full-text search
● Secondary indexing
○ Numeric
○ Text
○ Geo
○ Vector Similarity
● Real-Time Indexing
client.hset('users:1354', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com'
});
client.hset('users:1354', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com'
});
client.ft.create('users', {
age: { type: SchemaFieldTypes.NUMERIC },
email: { type: SchemaFieldTypes.TEXT }
}, {
ON: 'HASH',
PREFIX: 'users'
});
client.ft.search('idx:users', '@age:[0 30]')
client.ft.search('idx:users', '@email:*@nonexist.com')
client.hset('users:1354', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com'
});
@Data
@NoArgsConstructor
@Document
public class User {
@Id private String id;
@Searchable private String name;
@Indexed private String email;
@Indexed private Integer age;
private Integer coins;
}
@Data @NoArgsConstructor
@Document
public class User {
@Id private String id;
@Searchable private String name;
@Indexed private String email;
@Indexed private Integer age;
private Integer coins;
}
public interface UserRepository extends RedisDocumentRepository<User, String>
{
Optional<User> findOneByName(String name);
Iterable<User> findByAgeOfUSerBetween(int noeGT, int noeLT);
}
@Data @NoArgsConstructor
@Document
public class User {
@Id private String id;
@Searchable private String name;
@Indexed private String email;
@Indexed private Integer age;
private Integer coins;
}
return entityStream
.of(User.class)
.filter(User$.AGE.between(minAge, maxAge))
.sorted(User$.AGE, SortOrder.ASC)
.collect(Collectors.toList());
Document (a.k.a RedisJSON)
● Secondary indexing
● Full Query support
● JSON native data type
● Atomic operations
○ Update sub elements
○ Supports JSONPath
client.json.set('users:1354', '$', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com',
children: ['Ali', 'Ron']
});
client.json.set('users:1354', '$', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com',
children: ['Ali', 'Ron']
});
client.json.set('users:1354', '$.last', 'Bob');
client.json.set('users:1354', '$', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com',
children: ['Ali', 'Ron']
});
client.json.numIncrBy('users:1354', '$.points', 5);
client.json.strAppend(
'users:1354',
$.library..books[?(@.pages > 500)].title,
' - MUST READ'
);
Very flexible…
client.json.set('users:1354', '$', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com',
children: ['Ali', 'Ron']
});
client.json.arrAppend('users:1354', '$.children', 'Dana');
client.json.set('users:1354', '$', {
name: 'Alice',
age: 32,
coins: 100,
email: 'alice@nonexist.com',
children: ['Ali', 'Ron']
});
client.ft.create('users', {
'$.age': { type: SchemaFieldTypes.NUMERIC, AS: 'age' },
'$.email': { type: SchemaFieldTypes.TEXT, AS: 'email' }
}, {
ON: 'JSON',
PREFIX: 'users'
});
client.ft.search('idx:users', '@age:[0 30]')
client.ft.search('idx:users', '@email:*@nonexist.com')
Graph (a.k.a RedisGraph)
graph.query(
'CREATE (:Rider { name: $riderName})
-[:rides]->(:Team { name: $teamName })',
{
params: {
riderName: Buzz Aldrin,
teamName: 'Apollo'
}
}
);
graph.query(
'MATCH (r:Rider)-[:rides]->(t:Team { name: $name })
RETURN r.name AS name',
{
params: {
name: 'Apollo'
}
}
);
● Query
○ OpenCypher
○ Highly parallel
● Property Graph
● Blazing fast
Time Series (a.k.a RedisTimeSeries)
● Query
○ Low latency
○ Aggregation
● High volume inserts
● Compression
● Downsampling
Key 1
T1 T2 T3
Key 2
T1 T2 T3
START_TS END_TS
client.ts.create('cpu:1', {
RETENTION: 86400000, // 1 day in milliseconds
ENCODING: TimeSeriesEncoding.COMPRESSED,
});
client.ts.create('cpu:1', {
RETENTION: 86400000, // 1 day in milliseconds
ENCODING: TimeSeriesEncoding.COMPRESSED,
});
client.ts.add('cpu:1', 1676890149973, 75.3);
client.ts.add('cpu:1', 1676890149978, 81.2);
client.ts.create('cpu:1', {
RETENTION: 86400000, // 1 day in milliseconds
ENCODING: TimeSeriesEncoding.COMPRESSED,
});
client.ts.range('cpu:1',
1676890100000,
1676890200000, {
AGGREGATION: {
type: TimeSeriesAggregationType.AVERAGE,
timeBucket: 10000
}
}
);
Probabilistic (a.k.a RedisBloom)
● TopK
● T-Digest
● HyperLogLog
● Bloom Filter
● Cuckoo Filter
● Count Min Sketch
client.topK.reserve('mytopk', 10, {
width: 400, depth: 10, decay: 0.9
});
client.topK.reserve('mytopk', 10, {
width: 400, depth: 10, decay: 0.9
});
client.topk.incrBy('mytopk', 'steve', 5);
client.topk.incrBy('mytopk', 'john', 3);
client.topK.reserve('mytopk', 10, {
width: 400, depth: 10, decay: 0.9
});
client.topk.list('mytopk');
// top10 looks like this:
// [
// 'steve', 'john',
// 'kaitlyn', 'brian',
// …
// ]
Productivity (a.k.a RedisInsight)
Browse keys
Search keys
Workbench
DB Analysis
Recommendations
Troubleshooting
Programmability (a.k.a RedisGears)
● Events
○ Stream
○ Keys update
● JS Functions
● Cross cluster
● Async invocation
#!js name=lib
redis.register_function('my_ping', function(){
return client.call('ping');
});
client.sendCommand(['RG.FCALL', 'lib', 'my_ping']);
Thank you
https://discord.gg/redis

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