{"id":201664,"date":"2025-05-10T09:35:31","date_gmt":"2025-05-10T01:35:31","guid":{"rendered":"https:\/\/server.hk\/cnblog\/201664\/"},"modified":"2025-05-10T09:35:31","modified_gmt":"2025-05-10T01:35:31","slug":"%e5%83%8fflink%e4%b8%80%e6%a0%b7%e4%bd%bf%e7%94%a8redis","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/201664\/","title":{"rendered":"\u50cfFlink\u4e00\u6837\u4f7f\u7528Redis"},"content":{"rendered":"

<\/b> <\/p>\n

\u50cfFlink\u4e00\u6837\u4f7f\u7528Redis<\/h1>\n

<\/i>\u6536\u85cf<\/span> <\/p>\n

\u7f16\u7a0b\u5e76\u4e0d\u662f\u4e00\u4e2a\u673a\u68b0\u6027\u7684\u5de5\u4f5c\uff0c\u800c\u662f\u9700\u8981\u6709\u601d\u8003\uff0c\u6709\u521b\u65b0\u7684\u5de5\u4f5c\uff0c\u8bed\u6cd5\u662f\u56fa\u5b9a\u7684\uff0c\u4f46\u89e3\u51b3\u95ee\u9898\u7684\u601d\u8def\u5219\u662f\u4f9d\u9760\u4eba\u7684\u601d\u7ef4\uff0c\u8fd9\u5c31\u9700\u8981\u6211\u4eec\u575a\u6301\u5b66\u4e60\u548c\u66f4\u65b0\u81ea\u5df1\u7684\u77e5\u8bc6\u3002\u4eca\u5929golang\u5b66\u4e60\u7f51\u5c31\u6574\u7406\u5206\u4eab\u300a\u50cfFlink\u4e00\u6837\u4f7f\u7528Redis\u300b\uff0c\u6587\u7ae0\u8bb2\u89e3\u7684\u77e5\u8bc6\u70b9\u4e3b\u8981\u5305\u62ecRedis\u3001NoSQL\u3001flink\uff0c\u5982\u679c\u4f60\u5bf9\u6570\u636e\u5e93\u65b9\u9762\u7684\u77e5\u8bc6\u70b9\u611f\u5174\u8da3\uff0c\u5c31\u4e0d\u8981\u9519\u8fc7golang\u5b66\u4e60\u7f51\uff0c\u5728\u8fd9\u53ef\u4ee5\u5bf9\u5927\u5bb6\u7684\u77e5\u8bc6\u79ef\u7d2f\u6709\u6240\u5e2e\u52a9\uff0c\u52a9\u529b\u5f00\u53d1\u80fd\u529b\u7684\u63d0\u5347\u3002<\/p>\n

Apache Flink\u548c Redis \u662f\u4e24\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u4e00\u8d77\u4f7f\u7528\u6765\u6784\u5efa\u53ef\u4ee5\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u5b9e\u65f6\u6570\u636e\u5904\u7406\u7ba1\u9053\u3002Flink \u4e3a\u5904\u7406\u6570\u636e\u6d41\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u5ea6\u53ef\u6269\u5c55\u548c\u5bb9\u9519\u7684\u5e73\u53f0\uff0c\u800c Redis \u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u6027\u80fd\u7684\u5185\u5b58\u6570\u636e\u5e93\uff0c\u53ef\u7528\u4e8e\u5b58\u50a8\u548c\u67e5\u8be2\u6570\u636e\u3002\u5728\u672c\u6587\u4e2d\uff0c\u5c06\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528 Flink \u6765\u4f7f\u7528\u5f02\u6b65\u51fd\u6570\u8c03\u7528 Redis\uff0c\u5e76\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u5b83\u4ee5\u975e\u963b\u585e\u65b9\u5f0f\u5c06\u6570\u636e\u63a8\u9001\u5230 Redis\u3002<\/p>\n

Redis\u7684\u6545\u4e8b<\/span><\/span><\/h2>\n<\/p>\n

<\/p>\n

\u201cRedis\uff1a\u4e0d\u4ec5\u4ec5\u662f\u4e00\u4e2a\u7f13\u5b58<\/p>\n

Redis \u662f\u4e00\u79cd\u529f\u80fd\u5f3a\u5927\u7684 NoSQL \u5185\u5b58\u6570\u636e\u7ed3\u6784\u5b58\u50a8\uff0c\u5df2\u6210\u4e3a\u5f00\u53d1\u4eba\u5458\u7684\u9996\u9009\u5de5\u5177\u3002\u867d\u7136\u5b83\u901a\u5e38\u88ab\u8ba4\u4e3a\u53ea\u662f\u4e00\u4e2a\u7f13\u5b58\uff0c\u4f46 Redis \u8fdc\u4e0d\u6b62\u4e8e\u6b64\u3002\u5b83\u53ef\u4ee5\u4f5c\u4e3a\u6570\u636e\u5e93\u3001\u6d88\u606f\u4ee3\u7406\u548c\u7f13\u5b58\u4e09\u8005\u5408\u4e00\u3002<\/p>\n

Redis \u7684\u4f18\u52bf\u4e4b\u4e00\u662f\u5b83\u7684\u591a\u529f\u80fd\u6027\u3002\u5b83\u652f\u6301\u5404\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5305\u62ec\u5b57\u7b26\u4e32\u3001\u5217\u8868\u3001\u96c6\u5408\u3001\u6709\u5e8f\u96c6\u5408\u3001\u54c8\u5e0c\u3001\u6d41\u3001HyperLogLogs \u548c\u4f4d\u56fe\u3002Redis \u8fd8\u63d0\u4f9b\u5730\u7406\u7a7a\u95f4\u7d22\u5f15\u548c\u534a\u5f84\u67e5\u8be2\uff0c\u4f7f\u5176\u6210\u4e3a\u57fa\u4e8e\u4f4d\u7f6e\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u5b9d\u8d35\u5de5\u5177\u3002<\/p>\n

Redis \u7684\u529f\u80fd\u8d85\u51fa\u4e86\u5b83\u7684\u6570\u636e\u6a21\u578b\u3002\u5b83\u5177\u6709\u5185\u7f6e\u7684\u590d\u5236\u3001Lua \u811a\u672c\u548c\u4e8b\u52a1\uff0c\u5e76\u4e14\u53ef\u4ee5\u4f7f\u7528 Redis Cluster \u81ea\u52a8\u5206\u533a\u6570\u636e\u3002\u6b64\u5916\uff0cRedis \u901a\u8fc7 Redis Sentinel \u63d0\u4f9b\u9ad8\u53ef\u7528\u6027\u3002<\/p>\n

\u6ce8\u610f\uff1a\u5728\u672c\u6587\u4e2d\uff0c\u5c06\u66f4\u591a\u5730\u5173\u6ce8Redis\u96c6\u7fa4\u6a21\u5f0f<\/p>\n<\/p>\n

<\/p>\n

Redis \u96c6\u7fa4\u4f7f\u7528\u5e26\u54c8\u5e0c\u69fd\u7684\u7b97\u6cd5\u5206\u7247\u6765\u786e\u5b9a\u54ea\u4e2a\u5206\u7247\u62e5\u6709\u7ed9\u5b9a\u7684\u952e\u5e76\u7b80\u5316\u6dfb\u52a0\u65b0\u5b9e\u4f8b\u7684\u8fc7\u7a0b\u3002\u540c\u65f6\uff0c\u5b83\u4f7f\u7528 Gossiping \u6765\u786e\u5b9a\u96c6\u7fa4\u7684\u5065\u5eb7\u72b6\u51b5\uff0c\u5982\u679c\u4e3b\u8282\u70b9\u6ca1\u6709\u54cd\u5e94\uff0c\u53ef\u4ee5\u63d0\u5347\u8f85\u52a9\u8282\u70b9\u4ee5\u4fdd\u6301\u96c6\u7fa4\u5065\u5eb7\u3002\u5fc5\u987b\u6709\u5947\u6570\u4e2a\u4e3b\u8282\u70b9\u548c\u4e24\u4e2a\u526f\u672c\u624d\u80fd\u8fdb\u884c\u7a33\u5065\u8bbe\u7f6e\uff0c\u4ee5\u907f\u514d\u8111\u88c2\u73b0\u8c61\uff08\u96c6\u7fa4\u65e0\u6cd5\u51b3\u5b9a\u63d0\u5347\u8c01\u5e76\u6700\u7ec8\u505a\u51fa\u5206\u88c2\u51b3\u5b9a\uff09<\/p>\n

\u4e3a\u4e86\u4e0e Redis \u96c6\u7fa4\u5bf9\u8bdd\uff0c\u5c06\u4f7f\u7528lettuce\u548c Redis Async Java \u5ba2\u6237\u7aef\u3002<\/p>\n

Flink \u7684\u6545\u4e8b<\/span><\/span><\/h2>\n<\/p>\n

<\/p>\n

Apache Flink \u662f\u4e00\u4e2a\u5f00\u6e90\u3001\u7edf\u4e00\u7684\u6d41\u5904\u7406\u548c\u6279\u5904\u7406\u6846\u67b6\uff0c\u65e8\u5728\u5904\u7406\u5b9e\u65f6\u3001\u9ad8\u541e\u5410\u91cf\u548c\u5bb9\u9519\u6570\u636e\u5904\u7406\u3002\u5b83\u5efa\u7acb\u5728 Apache Gelly \u6846\u67b6\u4e4b\u4e0a\uff0c\u65e8\u5728\u652f\u6301\u6709\u754c\u548c\u65e0\u754c\u6d41\u4e0a\u7684\u590d\u6742\u4e8b\u4ef6\u5904\u7406\u548c\u6709\u72b6\u6001\u8ba1\u7b97\uff0c\u5b83\u7684\u5feb\u901f\u4e4b\u5904\u5728\u4e8e\u5176\u5229\u7528\u5185\u5b58\u4e2d\u6027\u80fd\u548c\u5f02\u6b65\u68c0\u67e5\u672c\u5730\u72b6\u6001\u3002<\/p>\n

\u6545\u4e8b\u7684\u4e3b\u4eba\u516c<\/span><\/span><\/h2>\n<\/p>\n

<\/p>\n

\u4e0e\u6570\u636e\u5e93\u7684\u5f02\u6b65\u4ea4\u4e92\u662f\u6d41\u5904\u7406\u5e94\u7528\u7a0b\u5e8f\u7684\u6e38\u620f\u89c4\u5219\u6539\u53d8\u8005\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u5355\u4e2a\u51fd\u6570\u5b9e\u4f8b\u53ef\u4ee5\u540c\u65f6\u5904\u7406\u591a\u4e2a\u8bf7\u6c42\uff0c\u4ece\u800c\u5141\u8bb8\u5e76\u53d1\u54cd\u5e94\u5e76\u663e\u7740\u63d0\u9ad8\u541e\u5410\u91cf\u3002\u901a\u8fc7\u5c06\u7b49\u5f85\u65f6\u95f4\u4e0e\u5176\u4ed6\u8bf7\u6c42\u548c\u54cd\u5e94\u91cd\u53e0\uff0c\u5904\u7406\u7ba1\u9053\u53d8\u5f97\u66f4\u52a0\u9ad8\u6548\u3002<\/p>\n

\u6211\u4eec\u5c06\u4ee5\u7535\u5546\u6570\u636e\u4e3a\u4f8b\uff0c\u8ba1\u7b9724\u5c0f\u65f6\u6ed1\u52a8\u7a97\u53e3\u4e2d\u6bcf\u4e2a\u54c1\u7c7b\u7684\u9500\u552e\u989d\uff0c\u6ed1\u52a8\u65f6\u95f4\u4e3a30\u79d2\uff0c\u4e0b\u6c89\u5230Redis\uff0c\u4ee5\u4fbf\u66f4\u5feb\u5730\u67e5\u627e\u4e0b\u6e38\u670d\u52a1\u3002<\/p>\n

\u5145\u8db3\u7684\u6570\u636e\u96c6<\/p>\n

Category,<\/span> TimeStamp<\/span>
Electronics,<\/span>1679832334<\/span>
Furniture,<\/span>1679832336<\/span>
Fashion,<\/span>1679832378<\/span>
Food,<\/span>16798323536<\/span><\/p>\n

Flink Kafka \u6d88\u8d39\u8005\u7c7b<\/p>\n

package Aysnc_kafka_redis;<\/span><\/p>\n

import AsyncIO.RedisSink<\/span>;<\/span>
import akka.japi<\/span>.tuple<\/span>.Tuple3<\/span>;<\/span>
import deserializer.Ecommdeserialize<\/span>;<\/span>
import model.Ecomm<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.api<\/span>.common<\/span>.eventtime<\/span>.WatermarkStrategy<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.connector<\/span>.kafka<\/span>.source<\/span>.KafkaSource<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.connector<\/span>.kafka<\/span>.source<\/span>.enumerator<\/span>.initializer<\/span>.OffsetsInitializer<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.datastream<\/span>.AsyncDataStream<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.datastream<\/span>.DataStream<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.datastream<\/span>.SingleOutputStreamOperator<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.environment<\/span>.StreamExecutionEnvironment<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.functions<\/span>.timestamps<\/span>.BoundedOutOfOrdernessTimestampExtractor<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.functions<\/span>.windowing<\/span>.WindowFunction<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.windowing<\/span>.assigners<\/span>.TumblingEventTimeWindows<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.windowing<\/span>.time<\/span>.Time<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.windowing<\/span>.windows<\/span>.TimeWindow<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.util<\/span>.Collector<\/span>;<\/span>
import java.util<\/span>.concurrent<\/span>.TimeUnit<\/span>;<\/span><\/p>\n

public class FlinkAsyncRedis {<\/span><\/p>\n

public static void main(<\/span>String[<\/span>]<\/span> args)<\/span> throws Exception {<\/span><\/p>\n

final StreamExecutionEnvironment env =<\/span> StreamExecutionEnvironment.getExecutionEnvironment<\/span>(<\/span>)<\/span>;<\/span>
Ecommdeserialize jsonde =<\/span> new Ecommdeserialize(<\/span>)<\/span>;<\/span> <\/p>\n

KafkaSourceEcomm><\/span> source =<\/span> KafkaSource.Ecomm><\/span>builder(<\/span>)<\/span>
.setTopics<\/span>(<\/span>“{dummytopic}”<\/span>)<\/span>
.setBootstrapServers<\/span>(<\/span>“{dummybootstrap}”<\/span>)<\/span>
.setGroupId<\/span>(<\/span>“test_flink”<\/span>)<\/span>
.setStartingOffsets<\/span>(<\/span>OffsetsInitializer.earliest<\/span>(<\/span>)<\/span>)<\/span>
.setValueOnlyDeserializer<\/span>(<\/span>jsonde)<\/span>
.build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

DataStreamEcomm><\/span> orderData =<\/span> env.fromSource<\/span>(<\/span>source,<\/span> WatermarkStrategy.noWatermarks<\/span>(<\/span>)<\/span>,<\/span> “Kafka Source”<\/span>)<\/span>;<\/span><\/p>\n

orderData.assignTimestampsAndWatermarks<\/span>(<\/span>new BoundedOutOfOrdernessTimestampExtractorEcomm><\/span>(<\/span>Time<\/span>.seconds<\/span>(<\/span>10<\/span>)<\/span>)<\/span> {<\/span>
@Override
public long<\/span> extractTimestamp(<\/span>Ecomm element)<\/span> {<\/span>
return element.getEventTimestamp<\/span>(<\/span>)<\/span>;<\/span> \/\/<\/span> extract watermark column from<\/span> stream
}<\/span>
}<\/span>)<\/span>;<\/span><\/p>\n

SingleOutputStreamOperatorTuple3String,<\/span> Long<\/span>,<\/span> Long<\/span>>><\/span> aggregatedData =<\/span> orderData.keyBy<\/span>(<\/span>Ecomm::<\/span>getCategory)<\/span>
.window<\/span>(<\/span>SlidingEventTimeWindows.of<\/span>(<\/span>Time<\/span>.hours<\/span>(<\/span>24<\/span>)<\/span>,<\/span>Time<\/span>.seconds<\/span>(<\/span>30<\/span>)<\/span>)<\/span>)<\/span>
.apply<\/span>(<\/span>(<\/span>WindowFunctionEcomm,<\/span> Tuple3String,<\/span> Long<\/span>,<\/span> Long<\/span>><\/span>,<\/span> String,<\/span> TimeWindow><\/span>)<\/span> (<\/span>key,<\/span> window,<\/span> input,<\/span> out)<\/span> -><\/span> {<\/span>
long<\/span> count<\/span> =<\/span> 0<\/span>;<\/span>
for (<\/span>Ecomm event :<\/span> input)<\/span> {<\/span>
count<\/span>++<\/span>;<\/span> \/\/<\/span> increment the count<\/span> for each event in<\/span> the window
}<\/span>
out.collect<\/span>(<\/span>new Tuple3<\/span>(<\/span>key,<\/span> window.getEnd<\/span>(<\/span>)<\/span>,<\/span> count<\/span>)<\/span>)<\/span>;<\/span> \/\/<\/span> output the category,<\/span> window end time<\/span>,<\/span> and<\/span> count<\/span>
}<\/span>)<\/span>;<\/span><\/p>\n

\/\/<\/span> calling async I\/<\/span>0<\/span> operator to sink data to redis in<\/span> UnOrdered way
SingleOutputStreamOperatorString><\/span> sinkResults =<\/span> AsyncDataStream.unorderedWait<\/span>(<\/span>aggregatedData,<\/span>new RedisSink(<\/span>
“{redisClusterUrl}”<\/span>)<\/span>,<\/span>
1000<\/span>,<\/span> \/\/<\/span> the timeout defines how long<\/span> an asynchronous operation take before it is<\/span> finally considered failed
TimeUnit.MILLISECONDS<\/span>,<\/span>
100<\/span>)<\/span>;<\/span> \/\/<\/span>capacity This parameter defines how many asynchronous requests may be in<\/span> progress at the same time<\/span>.<\/p>\n

sinkResults.print<\/span>(<\/span>)<\/span>;<\/span> \/\/<\/span> print out the redis set<\/span> response stored in<\/span> the future for every key<\/p>\n

env.execute<\/span>(<\/span>“RedisAsyncSink”<\/span>)<\/span>;<\/span> \/\/<\/span> you will be able to see your job running on<\/span> cluster by<\/span> this name<\/p>\n

}<\/span><\/p>\n

}<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

Redis \u8bbe\u7f6e\u952e\u5f02\u6b65 I\/0 \u8fd0\u7b97\u7b26<\/p>\n

package AsyncIO;<\/span><\/p>\n

import akka.japi<\/span>.tuple<\/span>.Tuple3<\/span>;<\/span>
import io.lettuce<\/span>.core<\/span>.RedisFuture<\/span>;<\/span>
import io.lettuce<\/span>.core<\/span>.cluster<\/span>.RedisClusterClient<\/span>;<\/span>
import io.lettuce<\/span>.core<\/span>.cluster<\/span>.api<\/span>.StatefulRedisClusterConnection<\/span>;<\/span>
import io.lettuce<\/span>.core<\/span>.cluster<\/span>.api<\/span>.async<\/span>.RedisAdvancedClusterAsyncCommands<\/span>;<\/span>
import lombok.AllArgsConstructor<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.api<\/span>.java<\/span>.tuple<\/span>.Tuple2<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.configuration<\/span>.Configuration<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.functions<\/span>.async<\/span>.ResultFuture<\/span>;<\/span>
import org.apache<\/span>.flink<\/span>.streaming<\/span>.api<\/span>.functions<\/span>.async<\/span>.RichAsyncFunction<\/span>;<\/span>
import scala.collection<\/span>.immutable<\/span>.List<\/span>;<\/span><\/p>\n

import java.util<\/span>.ArrayList<\/span>;<\/span>
import java.util<\/span>.Collections<\/span>;<\/span><\/p>\n

@AllArgsConstructor
public class RedisSink extends RichAsyncFunctionTuple3String,<\/span> Long<\/span>,<\/span> Long<\/span>><\/span>,<\/span> String><\/span> {<\/span><\/p>\n

String redisUrl;<\/span><\/p>\n

public RedisSink(<\/span>String redisUrl)<\/span>{<\/span>
this.redisUrl<\/span>=<\/span>redisUrl;<\/span>
}<\/span><\/p>\n

private transient RedisClusterClient client =<\/span> null<\/span>;<\/span>
private transient StatefulRedisClusterConnectionString,<\/span> String><\/span> clusterConnection =<\/span> null<\/span>;<\/span>
private transient RedisAdvancedClusterAsyncCommandsString,<\/span> String><\/span> asyncCall =<\/span> null<\/span>;<\/span><\/p>\n

\/\/<\/span> method executes any operator–<\/span>specific initialization
@Override
public void open(<\/span>Configuration parameters)<\/span> {<\/span>
if (<\/span>client ==<\/span> null<\/span> )<\/span> {<\/span>
client =<\/span> RedisClusterClient.create<\/span>(<\/span>redisUrl)<\/span>;<\/span>
}<\/span>
if (<\/span>clusterConnection ==<\/span> null<\/span>)<\/span> {<\/span>
clusterConnection =<\/span> client.connect<\/span>(<\/span>)<\/span>;<\/span>
}<\/span>
if (<\/span>asyncCall ==<\/span> null<\/span>)<\/span> {<\/span>
asyncCall =<\/span> clusterConnection.async<\/span>(<\/span>)<\/span>;<\/span>
}<\/span>
}<\/span><\/p>\n

\/\/<\/span> core logic to set<\/span> key in<\/span> redis using async connection and<\/span> return result of the call via ResultFuture
@Override
public void asyncInvoke(<\/span>Tuple3String,<\/span> Long<\/span>,<\/span> Long<\/span>><\/span> stream,<\/span> ResultFutureString><\/span> resultFuture)<\/span> {<\/span><\/p>\n

String productKey =<\/span> stream.t1<\/span>(<\/span>)<\/span>;<\/span>
System.out<\/span>.println<\/span>(<\/span>“RedisKey:”<\/span> +<\/span> productKey)<\/span>;<\/span> \/\/<\/span>for logging
String count<\/span> =<\/span> stream.t3<\/span>(<\/span>)<\/span>.toString<\/span>(<\/span>)<\/span>;<\/span>
System.out<\/span>.println<\/span>(<\/span>“Redisvalue:”<\/span> +<\/span> count<\/span>)<\/span>;<\/span> \/\/<\/span>for logging
RedisFutureString><\/span> setResult =<\/span> asyncCall.set<\/span>(<\/span>productKey,<\/span>count<\/span>)<\/span>;<\/span><\/p>\n

setResult.whenComplete<\/span>(<\/span>(<\/span>result,<\/span> throwable)<\/span> -><\/span> {<\/span>if(<\/span>throwable!=<\/span>null<\/span>)<\/span>{<\/span>
System.out<\/span>.println<\/span>(<\/span>“Callback from redis failed:”<\/span> +<\/span> throwable)<\/span>;<\/span>
resultFuture.complete<\/span>(<\/span>new ArrayList<\/span>(<\/span>)<\/span>)<\/span>;<\/span>
}<\/span>
else{<\/span>
resultFuture.complete<\/span>(<\/span>new ArrayList(<\/span>Collections.singleton<\/span>(<\/span>result)<\/span>)<\/span>)<\/span>;<\/span>
}<\/span>}<\/span>)<\/span>;<\/span>
}<\/span><\/p>\n

\/\/<\/span> method closes what was opened during initialization to free any resources
\/\/<\/span> held by<\/span> the operator (<\/span>e.g<\/span>. open network connections,<\/span> io streams)<\/span>
@Override
public void close(<\/span>)<\/span> throws Exception {<\/span>
client.close<\/span>(<\/span>)<\/span>;<\/span>
}<\/span><\/p>\n

}<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u7528\u4f8b\uff1a<\/span><\/span><\/h2>\n
    \n
  • \u6570\u636e\u79d1\u5b66\u6a21\u578b\u53ef\u4ee5\u4f7f\u7528\u6d41\u5f0f\u4f20\u8f93\u5230 Redis \u7684\u6570\u636e\u6765\u67e5\u627e\u548c\u751f\u6210\u66f4\u591a\u5728\u9500\u552e\u5b63\u8282\u7ecf\u5e38\u9500\u552e\u7684\u7c7b\u522b\u7684\u4ea7\u54c1\u3002<\/li>\n
  • \u5b83\u53ef\u7528\u4e8e\u5728\u7f51\u9875\u4e0a\u5c55\u793a\u56fe\u8868\u548c\u6570\u5b57\u4f5c\u4e3a\u9500\u552e\u7edf\u8ba1\u6570\u636e\uff0c\u4ee5\u5728\u7528\u6237\u4e2d\u4ea7\u751f\u79ef\u6781\u8d2d\u4e70\u7684\u52a8\u529b\u3002<\/li>\n<\/ul>\n

    \u8981\u70b9\uff1a<\/span><\/span><\/h2>\n
      \n
    • Flink \u4e3a\u5904\u7406\u6570\u636e\u6d41\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u5ea6\u53ef\u6269\u5c55\u548c\u5bb9\u9519\u7684\u5e73\u53f0\uff0c\u800c Redis \u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u6027\u80fd\u7684\u5185\u5b58\u6570\u636e\u5e93\uff0c\u53ef\u7528\u4e8e\u5b58\u50a8\u548c\u67e5\u8be2\u6570\u636e\u3002<\/li>\n
    • \u5f02\u6b65\u7f16\u7a0b\u53ef\u7528\u4e8e\u901a\u8fc7\u5141\u8bb8\u5bf9\u5916\u90e8\u7cfb\u7edf\uff08\u5982 Redis\uff09\u8fdb\u884c\u975e\u963b\u585e\u8c03\u7528\u6765\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7ba1\u9053\u7684\u6027\u80fd\u3002<\/li>\n
    • \u4e24\u8005\u7684\u7ed3\u5408\u53ef\u80fd\u6709\u52a9\u4e8e\u5e26\u6765\u5b9e\u65f6\u6570\u636e\u51b3\u7b56\u6587\u5316\u3002<\/li>\n<\/ul>\n

      \u4ee5\u4e0a\u5c31\u662f\u672c\u6587\u7684\u5168\u90e8\u5185\u5bb9\u4e86\uff0c\u662f\u5426\u6709\u987a\u5229\u5e2e\u52a9\u4f60\u89e3\u51b3\u95ee\u9898\uff1f\u82e5\u662f\u80fd\u7ed9\u4f60\u5e26\u6765\u5b66\u4e60\u4e0a\u7684\u5e2e\u52a9\uff0c\u8bf7\u5927\u5bb6\u591a\u591a\u652f\u6301golang\u5b66\u4e60\u7f51\uff01\u66f4\u591a\u5173\u4e8e\u6570\u636e\u5e93\u7684\u76f8\u5173\u77e5\u8bc6\uff0c\u4e5f\u53ef\u5173\u6ce8golang\u5b66\u4e60\u7f51\u516c\u4f17\u53f7\u3002<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

      \u50cfFlink\u4e00\u6837\u4f7f\u7528Redis ...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-201664","post","type-post","status-publish","format-standard","hentry","category-database"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/201664","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=201664"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/201664\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=201664"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=201664"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=201664"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}