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Redis in Practice
• Why Redis
• How to make Redis Faster
• Replication and Sentinel
Chen Huang
c.huang@*****.com
Content
• Why Redis
 Comparison of In-Memory Storages
 Scenarios
 Sharding (Parallel Scaling)
• How to make Redis Faster
• Replication and Sentinel
Comparison of In-Memory Storages
Redis Memcached MemSQL
Data Structure
Key-Value, List,
Hash, Set, Z-Set Key-Value Relational
Concurrency Poor Good Good
Sharding
Not Generally
Available Yes Yes
Transaction Optimistic Lock CAS No
Scripting Lua No No
Replication Yes Repcached Yes
Persistance Yes MemcacheDB Yes
High Availability Redis Sentinel ? ?
Scenarios
• Cache
Java:
Map cache = new LinkedHashMap() {
protected boolean removeEldestEntry(Map.Entry eldest) {
return isTimeout(eldest);
}
}
Redis:
SETEX key timeout value
Scenarios
• List / Queue
Java Redis
LinkedList / ArrayDeque List
list.offerFirst(element) LPUSH list element
list.offerLast(element) RPUSH list element
list.pollFirst() LPOP list
list.pollLast() RPOP list
• Session
[Servlet API]
HttpSession session = req.getSession(); // got by session id
Object oldValue = session.getAttribute(key);
session.setAttribute(key, newValue);
[Implementation]
Scenarios
Java Redis
HashMap<String, HashMap> Hash
map.get(id).get(key); HGET id key
map.get(id).put(key, value); HSET id key value
Scenarios
• Session Timeout
[Servlet API]
session.set(key, new HttpSessionBindingListener() {
public void valueUnbound(HttpSessionBindingEvent event) {
// Trigger Timeout Event
}
});
[Implementation]
Java Redis
LinkedHashMap Hash + Sorted Set (ZSet)
Iterator i = map.values().iterator();
while (i.hasNext() &&
isTimeout(i.next())) {
// Trigger Timeout Event
i.remove();
}
ZRANGEBYSCORE zset 0 now
// Trigger Timeout Event
HDEL id, id, ...
ZREMRANGEBYSCORE zset 0 now
Sharding (Parallel Scaling)
• Redis is Single-Threaded
• Multiple Redis Instances in one Server
• Partition by Hash of Keys
Content
• Why Redis
• How to make Redis Faster
 Time Complexity
 Communication Latency
 Serialization
• Replication and Sentinel
Time Complexity
See Redis Documentation for more Details
Structure Operation Complexity
Hash HGET id key
Key-Value GET id
Key-Value KEYS prefix*
List LPUSH/LPOP
List LINDEX/LSET
Sorted Set ZADD
Sorted Set ZRANGEBYSCORE
O(1)
O(1)
O(n)
O(1)
O(n)
O(log(n))
O(log(n)
+m)
Communication Latency
• Massive (Multi-Row) Insertion
[SQL]
× INSERT INTO cache (key, value) VALUES ("key1",
"value1");
INSERT INTO cache (key, value) VALUES ("key2",
"value2");
...
√ INSERT INTO cache (key, value) VALUES ("key1",
"value1"),
("key2", "value2"), ("key3", "value3"), ...
[Redis]
× HSET cache key1 value1
HSET cache key2 value2
...
√ HMSET cache key1 value1 key2 value2 ...
Communication Latency
• Pipeline (Batch)
Communication Latency
• Pipeline (Batch)
[SQL in Java]
try (Statement stmt = conn.createStatement()) {
stmt.addBatch("INSERT INTO cache1 ...");
stmt.addBatch("INSERT INTO cache2 ...");
stmt.executeBatch();
}
[Redis in Java]
Pipeline pl = jedis.pipelined();
pl.hset("cache1", "key1", "value1");
pl.hset("cache2", "key2", "value2");
pl.sync();
Communication Latency
• Scripting
[Java]
int balance = Integer.parseInt(jedis.get("balance"));
if (balance > 100) {
jedis.set("balance", Integer.toString(balance - 100));
}
[Lua]
local i = tonumber(redis.call('get', 'balance'))
if i > 100 then
redis.call('set', 'balance', tostring(i - 100))
end
Communication Latency
• SQL Efficiency
Multi-Row Insertion > Batch > Stored Procedure
• Redis Efficiency
Massive Insertion > Pipeline > Scripting
Serialization
Serialization
Serialization
• Kryo vs. Protobuf
Content
• Why Redis
• How to make Redis Faster
• Replication and Sentinel
 Replication
 Sentinel
 Practice with PHP
Replication
Master
Slave-1
Slave-2
Slave-3
Web Server
Write
Sync to
Sync to
Sync to
Web Server
Read
Read
Read
Sentinel
A
B
C
D
X
B
C
D
A
Sentinels Sentinels
Sync from
Sync from
Practice with PHP
Shard 1 Shard 2
Sentinels
Shard 3 Shard 4
Web Server
Config Center
Write
Read
Scheduled Config Sync
Web Server
Web Server
redis.config.php
redis.config.php
redis.config.php
redis.config.php
Scheduled Config Sync
Practice with PHP
References
• Redis
http://redis.io/
• phpredis
https://github.com/phpredis/phpredis

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Redis in Practice: Scenarios, Performance and Practice with PHP

  • 1. Redis in Practice • Why Redis • How to make Redis Faster • Replication and Sentinel Chen Huang c.huang@*****.com
  • 2. Content • Why Redis  Comparison of In-Memory Storages  Scenarios  Sharding (Parallel Scaling) • How to make Redis Faster • Replication and Sentinel
  • 3. Comparison of In-Memory Storages Redis Memcached MemSQL Data Structure Key-Value, List, Hash, Set, Z-Set Key-Value Relational Concurrency Poor Good Good Sharding Not Generally Available Yes Yes Transaction Optimistic Lock CAS No Scripting Lua No No Replication Yes Repcached Yes Persistance Yes MemcacheDB Yes High Availability Redis Sentinel ? ?
  • 4. Scenarios • Cache Java: Map cache = new LinkedHashMap() { protected boolean removeEldestEntry(Map.Entry eldest) { return isTimeout(eldest); } } Redis: SETEX key timeout value
  • 5. Scenarios • List / Queue Java Redis LinkedList / ArrayDeque List list.offerFirst(element) LPUSH list element list.offerLast(element) RPUSH list element list.pollFirst() LPOP list list.pollLast() RPOP list
  • 6. • Session [Servlet API] HttpSession session = req.getSession(); // got by session id Object oldValue = session.getAttribute(key); session.setAttribute(key, newValue); [Implementation] Scenarios Java Redis HashMap<String, HashMap> Hash map.get(id).get(key); HGET id key map.get(id).put(key, value); HSET id key value
  • 7. Scenarios • Session Timeout [Servlet API] session.set(key, new HttpSessionBindingListener() { public void valueUnbound(HttpSessionBindingEvent event) { // Trigger Timeout Event } }); [Implementation] Java Redis LinkedHashMap Hash + Sorted Set (ZSet) Iterator i = map.values().iterator(); while (i.hasNext() && isTimeout(i.next())) { // Trigger Timeout Event i.remove(); } ZRANGEBYSCORE zset 0 now // Trigger Timeout Event HDEL id, id, ... ZREMRANGEBYSCORE zset 0 now
  • 8. Sharding (Parallel Scaling) • Redis is Single-Threaded • Multiple Redis Instances in one Server • Partition by Hash of Keys
  • 9. Content • Why Redis • How to make Redis Faster  Time Complexity  Communication Latency  Serialization • Replication and Sentinel
  • 10. Time Complexity See Redis Documentation for more Details Structure Operation Complexity Hash HGET id key Key-Value GET id Key-Value KEYS prefix* List LPUSH/LPOP List LINDEX/LSET Sorted Set ZADD Sorted Set ZRANGEBYSCORE O(1) O(1) O(n) O(1) O(n) O(log(n)) O(log(n) +m)
  • 11. Communication Latency • Massive (Multi-Row) Insertion [SQL] × INSERT INTO cache (key, value) VALUES ("key1", "value1"); INSERT INTO cache (key, value) VALUES ("key2", "value2"); ... √ INSERT INTO cache (key, value) VALUES ("key1", "value1"), ("key2", "value2"), ("key3", "value3"), ... [Redis] × HSET cache key1 value1 HSET cache key2 value2 ... √ HMSET cache key1 value1 key2 value2 ...
  • 13. Communication Latency • Pipeline (Batch) [SQL in Java] try (Statement stmt = conn.createStatement()) { stmt.addBatch("INSERT INTO cache1 ..."); stmt.addBatch("INSERT INTO cache2 ..."); stmt.executeBatch(); } [Redis in Java] Pipeline pl = jedis.pipelined(); pl.hset("cache1", "key1", "value1"); pl.hset("cache2", "key2", "value2"); pl.sync();
  • 14. Communication Latency • Scripting [Java] int balance = Integer.parseInt(jedis.get("balance")); if (balance > 100) { jedis.set("balance", Integer.toString(balance - 100)); } [Lua] local i = tonumber(redis.call('get', 'balance')) if i > 100 then redis.call('set', 'balance', tostring(i - 100)) end
  • 15. Communication Latency • SQL Efficiency Multi-Row Insertion > Batch > Stored Procedure • Redis Efficiency Massive Insertion > Pipeline > Scripting
  • 19. Content • Why Redis • How to make Redis Faster • Replication and Sentinel  Replication  Sentinel  Practice with PHP
  • 22. Practice with PHP Shard 1 Shard 2 Sentinels Shard 3 Shard 4 Web Server Config Center Write Read Scheduled Config Sync Web Server Web Server redis.config.php redis.config.php redis.config.php redis.config.php Scheduled Config Sync