本文主要研究一下redis的事務操作
命令行
127.0.0.1:6379> multi OK 127.0.0.1:6379> incr total QUEUED 127.0.0.1:6379> incr len QUEUED 127.0.0.1:6379> exec 1) (integer) 2 2) (integer) 2 127.0.0.1:6379> get total "2" 127.0.0.1:6379> get len "2"
lettuce實例
@Test public void testMultiExec(){ RedisClient client = RedisClient.create("redis://192.168.99.100:6379/0"); StatefulRedisConnection<String, String> connection = client.connect(); RedisCommands<String, String> syncCommands = connection.sync(); syncCommands.set("hello","1"); syncCommands.set("world","2"); syncCommands.multi(); syncCommands.incr("hello"); syncCommands.incr("world"); //DefaultTransactionResult[wasRolledBack=false,result=[1, 2, 1, 3, 1]] TransactionResult transactionResult = syncCommands.exec(); System.out.println(transactionResult); System.out.println(syncCommands.get("hello")); System.out.println(syncCommands.get("world")); }
命令行
127.0.0.1:6379> multi OK 127.0.0.1:6379> set a hello QUEUED 127.0.0.1:6379> set b world QUEUED 127.0.0.1:6379> incr a QUEUED 127.0.0.1:6379> set c part QUEUED 127.0.0.1:6379> exec 1) OK 2) OK 3) (error) ERR value is not an integer or out of range 4) OK 127.0.0.1:6379> get a "hello" 127.0.0.1:6379> get b "world" 127.0.0.1:6379> get c "part"
lettuce實例
@Test public void testMultiExecError(){ RedisClient client = RedisClient.create("redis://192.168.99.100:6379/0"); StatefulRedisConnection<String, String> connection = client.connect(); RedisCommands<String, String> syncCommands = connection.sync(); syncCommands.multi(); syncCommands.set("a","hello"); syncCommands.set("b","world"); syncCommands.incr("a"); syncCommands.set("c","part"); //DefaultTransactionResult[wasRolledBack=false,result=[OK, OK, io.lettuce.core.RedisCommandExecutionException: ERR value is not an integer or out of range, OK, 1]] TransactionResult transactionResult = syncCommands.exec(); System.out.println(transactionResult); System.out.println(syncCommands.get("a")); System.out.println(syncCommands.get("b")); System.out.println(syncCommands.get("c")); }
命令行
127.0.0.1:6379> set sum 1 OK 127.0.0.1:6379> multi OK 127.0.0.1:6379> incr sum QUEUED 127.0.0.1:6379> discard OK 127.0.0.1:6379> get sum "1"
lettuce實例
@Test public void testMultiDiscard(){ RedisClient client = RedisClient.create("redis://192.168.99.100:6379/0"); StatefulRedisConnection<String, String> connection = client.connect(); RedisCommands<String, String> syncCommands = connection.sync(); syncCommands.incr("key1"); syncCommands.multi(); syncCommands.incr("key1"); //需要有multi才可以執行discard,成功返回OK String result = syncCommands.discard(); System.out.println(result); System.out.println(syncCommands.get("key1")); }
@Test public void testWatch(){ RedisClient client = RedisClient.create("redis://192.168.99.100:6379/0"); StatefulRedisConnection<String, String> connection = client.connect(); RedisCommands<String, String> syncCommands = connection.sync(); String key = "key"; syncCommands.watch(key); //another connection StatefulRedisConnection<String, String> conn2 = client.connect(); RedisCommands<String, String> syncCommands2 = conn2.sync(); syncCommands2.set(key, "a"); syncCommands.multi(); syncCommands.append(key, "b"); //DefaultTransactionResult [wasRolledBack=true, responses=0] TransactionResult transactionResult = syncCommands.exec(); System.out.println(transactionResult); System.out.println(syncCommands.get(key)); }
reids提供multi exec/discard指令,類似open commit/rollback transaction,不過exec遇到類型操作等錯誤時不會滾,該成功執行的命令還是成功執行,該失敗的還是失敗
multi exec保證的是,只要exec命令有執行成功,則事務中一系列的命令都能執行,如果exec因為網絡等問題,server端沒有接收到,則事務中的一系列命令都不會被執行
discard需要在有調用multi的前提下才能使用,該命令會清空事務隊列等待執行的命令
redis提供watch指令,可以配合multi exec來使用,可以實現類似數據庫的樂觀鎖的機制,一旦watch的key被其他client有更新,則整個exec操作失敗
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