Skip to content

Latest commit

 

History

History
144 lines (112 loc) · 7.75 KB

README.md

File metadata and controls

144 lines (112 loc) · 7.75 KB
Raw

flink-connector-lettuce-redis

flink connector for redis

use lettuce to connect to redis.

todo:

  • support other redis commands
  • support streaming api

dependency:

name version desc
flink 1.13.2-2.12 stream table
lettuce 6.1.8.RELEASE support single and cluster

supported : lookUp ,sink

Name Version Source Sink
flink-connector-lettuce-redis 1.1.0 Lookup(async) Streaming Sink(sync)

parameter:

parameter name type default desc
client.host string redis host,like 'ip1:port1'
client.database int 0 redis database
client.model string single redis model : single or cluster
client.command string set redis command: only support set,hset
client.password string redis password
lookup.cache.max-rows long -1 max rows to cache in lookup, -1 means no cache
lookup.cache.ttl long -1 ttl for cache in lookup, -1 means no cache
lookup.max-retries int 1 lookup max retries
sink.value.ttl int 0 sink redis ttl time,only support when command is 'set',default 0 means no expire time
sink.max-retries int 1 sink max retries
sink.parallelism int 1 sink parallelism
format string only support format : json,csv
json.* string when format is json,can set Json Format Options
csv.* string when format is csv,can set Csv Format Options

examples:

to see more examples,visit flink-connector-lettuce-redis-test

look up:

    // set some key-value to redis
    sync.set("1","{\"id\":\"11\",\"info\":\"info1\",\"grand\":\"\"}");
    sync.set("2","{\"id\":\"22\",\"info\":\"info2\",\"grand\":\"\",\"other\":\"other\"}");
    sync.set("3","{\"id\":\"33\",\"info\":\"info3\"}");
    sync.set("4","{\"info\":\"info4\",\"id\":\"44\"}");
    sync.set("5","{}");
    sync.set("6","{\"info\":\"info6\",\"id\":\"66\",\"grand\":\"grand6\"}");

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        EnvironmentSettings environmentSettings =
                EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings);

        String ddlWb =
                "create table dim_table(key string, id string,info string,grand string) with ( 'connector'='lettuce-redis', "
                        + "'client.host'='127.0.0.1:63792','client.command'='set','format'='json','json.fail-on-missing-field'='false','json.map-null-key.mode'='LITERAL','json.map-null-key.literal'='HNULL')";

        String source =
                "create table source_table(username string, level string, proctime as procTime()) "
                        + "with ('connector'='datagen',  'rows-per-second'='1', "
                        + "'fields.username.kind'='sequence',  'fields.username.start'='1',  'fields.username.end'='9',"
                        + "'fields.level.kind'='sequence',  'fields.level.start'='1',  'fields.level.end'='9'"
                        + ")";

        String sink =
                "create table sink_table(username string, level string,dkey string,dname string,dinfo string,dgrand string) with ('connector'='print')";

        tEnv.executeSql(source);
        tEnv.executeSql(ddlWb);
        tEnv.executeSql(sink);

        String sql =
                " insert into sink_table "
                        + " select s.username, s.level, d.key ,d.id,d.info,d.grand from source_table  s"
                        + "  left join dim_table for system_time as of s.proctime as d "
                        + " on d.key = s.username";

        TableResult tableResult = tEnv.executeSql(sql);
        tableResult.getJobClient().get().getJobExecutionResult().get();

we get the result:

+I[8, 8, null, null, null, null]
+I[7, 7, null, null, null, null]
+I[5, 5, 5, null, null, null]
+I[2, 2, 2, 22, info2, ]
+I[6, 6, 6, 66, info6, grand6]
+I[1, 1, 1, 11, info1, ]
+I[4, 4, 4, 44, info4, null]
+I[3, 3, 3, 33, info3, null]
+I[9, 9, null, null, null, null]

sink:

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        EnvironmentSettings environmentSettings =
                EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings);

        String ddl =
                "create table sink_redis(setName VARCHAR, v1 String,v2 String) with ( 'connector'='lettuce-redis', "
                        + "'client.host'='127.0.0.1:63792','client.command'='set','format'='json','client.database'='1',"
                        + "'json.fail-on-missing-field'='true')";

        tEnv.executeSql(ddl);
        String sql = " insert into sink_redis select * from (values ('setName1', 'v1','v2'))";
        String sql2 = " insert into sink_redis select * from (values ('setName2', 'v21','v22'))";
        String sql3 = " insert into sink_redis select * from (values ('setName3', 'v31','v32'))";
        tEnv.executeSql(sql);
        tEnv.executeSql(sql2);
        TableResult tableResult = tEnv.executeSql(sql3);
        tableResult.getJobClient().get().getJobExecutionResult().get();

        System.out.println(sync.get("setName1"));
        System.out.println(sync.get("setName2"));
        System.out.println(sync.get("setName3"));

we get the result:

{"v1":"v1","v2":"v2"}
{"v1":"v21","v2":"v22"}
{"v1":"v31","v2":"v32"}