flinksql读写redis
0、前言
最近有个需求，需要使用flinksql读写redis，由于官网上并没有redis的connector，在网上找了很久，开源的几个connector又没法满足要求，所有这里就自己动手实现了一个。已经适配了各个版本的flink，从flink1.12到flink1.15。
简单介绍一下功能吧：
- 将redis作为流表时支持BLPOP、BRPOP、LPOP、RPOP、SPOP等命令；使用lua脚本封装的批量弹出提高消费性能
- 将redis作为维表时支持GET、HGET等命令；支持lookup缓存
- 将redis作为sink表时支持LPUSH、RPUSH、SADD、SET、HSET等命令；支持指定key的ttl时间
- 支持flink常见的序列化反序列化方式，如json、csv等，具体参见flink官网:https://nightlies.apache.org/flink/flink-docs-release-1.15/docs/connectors/table/formats/overview/
1、redis作为流表
1.1、数据准备
@Before
public void init() {
/**
设置当前属于测试模式，在这个测试模式下，当流表数据消费完成后程序会停止，方便测试，这个模式默认false
*/
RedisOptions.IS_TEST = true;
RedisOperator redisOperator = RedisOperators.getSimple("10.201.0.33",6379,"123456",0);
List<String> lists = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
lists.add("{\n" +
" \"number\": " + i + ",\n" +
" \"name\": \"学生" + i + "\",\n" +
" \"school\": \"学校" + ((i % 3) + 1) +"\",\n" +
" \"class_id\": " + ((i % 10) + 1) +"\n" +
"}");
}
/**
* 初始化学生数据
*/
for (int i = 0; i < 1; i++) {
redisOperator.rpush("students", lists.subList(1000 * i, 1000 * (i + 1)));
}
/**
* 初始化班级数据
*/
for(int i = 0;i < 10;i++) {
redisOperator.set(String.valueOf(i + 1),"银河" + (i + 1) + "班");
} /**
* 初始化学校班级数据
*/
for(int j = 1;j < 4;j++) {
for (int i = 1; i < 11; i++) {
redisOperator.hset("学校" + j, String.valueOf(i), "银河" + i + "班");
}
}
}
1.2、使用BLPOP、BRPOP、LPOP、RPOP、SPOP消费指定的key的list或者set的数据
@Test
public void testBlpopSQL() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT \n" +
") \n" +
"WITH (\n" +
" 'connector'='print'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(sink); String sql =
" insert into sink_students select * from students";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
}
2、redis作为维表（不带format）
2.1、数据准备
@Before
public void init() {
/**
设置当前属于测试模式，在这个测试模式下，当流表数据消费完成后程序会停止，方便测试，这个模式默认false
*/
RedisOptions.IS_TEST = true;
RedisOperator redisOperator = RedisOperators.getSimple("10.201.0.33",6379,"123456",0);
List<String> lists = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
lists.add("{\n" +
" \"number\": " + i + ",\n" +
" \"name\": \"学生" + i + "\",\n" +
" \"school\": \"学校" + ((i % 3) + 1) +"\",\n" +
" \"class_id\": " + ((i % 10) + 1) +"\n" +
"}");
}
/**
* 初始化学生数据
*/
for (int i = 0; i < 1; i++) {
redisOperator.rpush("students", lists.subList(1000 * i, 1000 * (i + 1)));
}
/**
* 初始化班级数据
*/
for(int i = 0;i < 10;i++) {
redisOperator.set(String.valueOf(i + 1),"银河" + (i + 1) + "班");
} /**
* 初始化学校班级数据
*/
for(int j = 1;j < 4;j++) {
for (int i = 1; i < 11; i++) {
redisOperator.hset("学校" + j, String.valueOf(i), "银河" + i + "班");
}
}
}
2.2、使用GET作为维表查询命令
@Test
public void testGetSQL() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; /**
这里需要注意的是，由于使用get命令，而且没有加format属性，所以维表只能有两个字段，多了也识别不到，
详细可以看源码里的注释
*/
String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" class_id BIGINT ,\n" +
" class_name string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='GET'\n" +
" )"; String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" class_name string \n" +
") \n" +
"WITH (\n" +
" 'connector'='print'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink);
/**
这里join的字段必须是GET命令的key
*/
String sql =
" insert into sink_students "
+ " select s.number,s.name,s.school,s.class_id,d.class_name from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
}
2.3、使用HGET作为维表查询命令
@Test
public void testHGetSQL() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )";
/**
这里需要注意的是，由于使用hget命令，而且没有加format属性，所以维表只能有三个字段，多了也识别不到，
详细可以看源码里的注释
*/
String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" school string, \n" +
" class_id BIGINT ,\n" +
" class_name string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='HGET'\n" +
" )"; String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" class_name string \n" +
") \n" +
"WITH (\n" +
" 'connector'='print'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink);
/**
这里需要注意的是，由于使用hget命令，这里join的参数两个参数顺序没有关系，真正执行hget命令哪个字段作为key，
哪个字段作为field只与维表定义的时候的字段顺序有关系
*/
String sql =
" insert into sink_students "
+ " select s.number,s.name,s.school,s.class_id,d.class_name from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id and d.school = s.school";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
}
3、redis作为维表（带format）
3.1、数据准备
@Before
public void init() {
RedisOptions.IS_TEST = true;
RedisOperator redisOperator = RedisOperators.getSimple("10.201.0.33",6379,"123456",0);
List<String> lists = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
lists.add("{\n" +
" \"number\": " + i + ",\n" +
" \"name\": \"学生" + i + "\",\n" +
" \"school\": \"学校" + ((i % 3) + 1) +"\",\n" +
" \"class_id\": " + ((i % 10) + 1) +"\n" +
"}");
}
/**
* 初始化学生数据
*/
for (int i = 0; i < 1; i++) {
redisOperator.rpush("students", lists.subList(1000 * i, 1000 * (i + 1)));
}
/**
* 初始化班级数据
*/
for(int i = 0;i < 10;i++) {
JSONObject jsonObject = new JSONObject();
jsonObject.put("class_id",String.valueOf(i + 1));
jsonObject.put("class_name","银河" + (i + 1) + "班");
jsonObject.put("remark","remark" + i);
redisOperator.set(String.valueOf(i + 1),jsonObject.toString());
} /**
* 初始化学校班级数据
*/
for(int j = 1;j < 4;j++) {
for (int i = 1; i < 11; i++) {
JSONObject jsonObject = new JSONObject();
jsonObject.put("class_id",String.valueOf(i));
jsonObject.put("class_name","银河" + i + "班");
jsonObject.put("remark","remark" + i);
jsonObject.put("school","学校" + j);
redisOperator.hset("学校" + j, String.valueOf(i), jsonObject.toString());
}
}
}
3.2、使用GET作为维表查询命令
@Test
public void testGetSQL() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; /**
* 这里测试的核心是维表有format=json配置项，有了format配置项后，字段个数不受限制，但是需要注意的是，作为get命令的key的字段
* 一定要放在表申明的第一位，并且get命令的value的值使用format格式化后，比如是json格式，则json里一定要包含作为维表查询的
* join on后面带的作为key的查询列，不然会报空指针异常
*/
String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" class_id BIGINT ,\n" +
" class_name string ,\n " +
" remark string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'format'='json', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='GET'\n" +
" )"; String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" class_name string, \n" +
" remark string " +
") \n" +
"WITH (\n" +
" 'connector'='print'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink); String sql =
" insert into sink_students "
+ " select s.number,s.name,s.school,s.class_id,d.class_name,d.remark from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
}
3.3、使用HGET作为维表查询命令
@Test
public void testHGetSQL() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; /**
* 这里测试的核心是维表有format=json配置项，有了format配置项后，字段个数不受限制，但是需要注意的是，作为hget命令的key的字段
* 一定要放在表申明的第一位，field的字段一定要放在申明的第二位，并且hget命令的value的值使用format格式化后，比如是json格式， * 则json里一定要包含作为维表查询的 join on后面带的作为key和field的查询列，不然会报空指针异常
*/
String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" school string, \n" +
" class_id BIGINT ,\n" +
" class_name string, " +
" remark string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'format'='json', \n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='HGET'\n" +
" )"; String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" class_name string, \n" +
" remark string " +
") \n" +
"WITH (\n" +
" 'connector'='print'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink); String sql =
" insert into sink_students "
+ " select s.number,s.name,s.school,s.class_id,d.class_name,d.remark from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id and d.school = s.school";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
}
4、redis作为sink表
4.1、数据准备
@Before
public void init() {
RedisOptions.IS_TEST = true;
RedisOperator redisOperator = RedisOperators.getSimple("10.201.0.33",6379,"123456",0);
List<String> lists = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
lists.add("{\n" +
" \"number\": " + i + ",\n" +
" \"name\": \"学生" + i + "\",\n" +
" \"school\": \"学校" + ((i % 3) + 1) +"\",\n" +
" \"class_id\": " + ((i % 10) + 1) +"\n" +
"}");
}
/**
* 初始化学生数据
*/
for (int i = 0; i < 1; i++) {
redisOperator.rpush("students", lists.subList(1000 * i, 1000 * (i + 1)));
}
/**
* 初始化班级数据
*/
for(int i = 0;i < 10;i++) {
redisOperator.set(String.valueOf(i + 1),"银河" + (i + 1) + "班");
} /**
* 初始化学校班级数据
*/
for(int j = 1;j < 4;j++) {
for (int i = 1; i < 11; i++) {
redisOperator.hset("学校" + j, String.valueOf(i), "银河" + i + "班");
}
}
}
4.2、使用LPush、RPUSH、SADD命令作为sink表写入命令
@Test
public void testLPushSQL() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" school string, \n" +
" class_id BIGINT ,\n" +
" class_name string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='HGET'\n" +
" )"; /**
* 1、这里因为command是LPUSH，所以不需要primary key(number) not enforced， 因为这种命令只支持INSERT语义
* 2、并行度配置项sink.parallelism没有配置，默认为核心数
*/
String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" class_name string \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='sink_students_list',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='LPUSH'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink); String sql =
" insert into sink_students "
+ " select s.number,s.name,s.school,s.class_id,d.class_name from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id and d.school = s.school";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
}
4.2、使用SET命令作为sink表写入命令
@Test
public void testSet() throws Exception {
long start = System.currentTimeMillis();
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" school string, \n" +
" class_id BIGINT ,\n" +
" class_name string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='HGET'\n" +
" )"; /**
* 1、这里因为command是SET，所以需要一个key，这里key就是使用主键，多个就用下划线拼接起来，
* 2、并行度配置项sink.parallelism没有配置，默认为核心数
*/
String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" school string, \n" +
" number BIGINT ,\n" +
" name string,\n" +
" class_id BIGINT, \n" +
" class_name string, \n" +
" primary key(school,number) not enforced" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='SET'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink); String sql =
" insert into sink_students "
+ " select s.school,s.number,s.name,s.class_id,d.class_name from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id and d.school = s.school";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
long end = System.currentTimeMillis();
System.out.println("耗时：" + (end - start) + "ms");
}
4.3、使用HSET命令作为sink表写入命令（不指定key）
@Test
public void testHSet() throws Exception {
long start = System.currentTimeMillis();
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" school string, \n" +
" class_id BIGINT ,\n" +
" class_name string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='HGET'\n" +
" )"; /**
* 1、这里因为command是HSET，所以需要一个key和一个field，这里是按照表申明的顺序，第一个作为key，
* 第二个作为field，由于需要更新，也需要一个主键，这里最好把前两个字段一起作为主键
* 2、作为sink有一个sink.key.ttl参数可以设置key保存在redis的ttl生存时间，单位秒，默认为-1表示长期保存
*/
String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" school string, \n" +
" number BIGINT ,\n" +
" name string,\n" +
" class_id BIGINT, \n" +
" class_name string, \n" +
" primary key(school,number) not enforced" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'sink.parallelism' = '16',\n" +
" 'sink.key.ttl' = '300',\n" +
" 'command'='HSET'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink); String sql =
" insert into sink_students "
+ " select s.school,s.number,s.name,s.class_id,d.class_name from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id and d.school = s.school";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
long end = System.currentTimeMillis();
System.out.println("耗时：" + (end - start) + "ms");
}
4.4、使用HSET命令作为sink表写入命令（指定key）
@Test
public void testHSetWithKey() throws Exception {
long start = System.currentTimeMillis();
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings environmentSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env, environmentSettings); String source =
"CREATE TABLE students\n" +
"(\n" +
" number BIGINT ,\n" +
" name string,\n" +
" school string, \n" +
" class_id BIGINT, \n" +
" proctime as PROCTIME() \n" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'key'='students',\n" +
" 'format'='json',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'command'='BLPOP'\n" +
" )"; String daeamon =
"CREATE TABLE classes\n" +
"(\n" +
" school string, \n" +
" class_id BIGINT ,\n" +
" class_name string " +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'lookup.cache.max-rows'='1000',\n" +
" 'lookup.cache.ttl'='3600',\n" +
" 'lookup.cache.load-all'='true',\n" +
" 'database'='0',\n" +
" 'command'='HGET'\n" +
" )"; /**
* 1、这里因为command是HSET，所以需要一个key和一个field，这里配置项指定了key，那么主键拼接就作为field，
* 使用hset保存到redis
* 2、作为sink有一个sink.key.ttl参数可以设置key保存在redis的ttl生存时间，单位秒，默认-1表示长期保存
*/
String sink =
"CREATE TABLE sink_students\n" +
"(\n" +
" school string, \n" +
" number BIGINT ,\n" +
" name string,\n" +
" class_id BIGINT, \n" +
" class_name string, \n" +
" primary key(number) not enforced" +
") \n" +
"WITH (\n" +
" 'connector'='redis',\n" +
" 'host'='10.201.0.33', \n" +
" 'port'='6379',\n" +
" 'redis-mode'='single', \n" +
" 'password'='123456',\n" +
" 'database'='0',\n" +
" 'format'='json',\n" +
" 'key'='sink_students_hset',\n" +
" 'batch-fetch-rows'='1000',\n" +
" 'json.fail-on-missing-field' = 'false',\n" +
" 'json.ignore-parse-errors' = 'true',\n" +
" 'sink.parallelism' = '16',\n" +
" 'sink.key.ttl' = '300',\n" +
" 'command'='HSET'\n" +
" )"; tEnv.executeSql(source);
tEnv.executeSql(daeamon);
tEnv.executeSql(sink); String sql =
" insert into sink_students "
+ " select s.school,s.number,s.name,s.class_id,d.class_name from students s"
+ " left join classes for system_time as of s.proctime as d on d.class_id = s.class_id and d.school = s.school";
TableResult tableResult = tEnv.executeSql(sql);
tableResult.getJobClient().get().getJobExecutionResult().get();
long end = System.currentTimeMillis();
System.out.println("耗时：" + (end - start) + "ms");
}
5、配置说明
| 配置项 | 描述 |
|---|---|
| host | redis的host |
| port | redis的port |
| password | redis的password |
| cluster-nodes | redis的集群节点,ip和端口之间用英文冒号分隔，多个ip端口用英文逗号分割 |
| master.name | redis的sentinel模式的master节点的名称 |
| sentinels.info | redis的sentinel模式的info信息 |
| sentinels.password | redis的sentinel模式的密码 |
| database | redis的database，一般是0~15 |
| command | redis的命令，作为流表时支持BLPOP、BRPOP、LPOP、RPOP、SPOP；作为维表时支持GET、HGET；作为sink表时支持LPUSH、RPUSH、SADD、SET、HSET |
| redis-mode | redis的部署模式，single、cluster、sentinel |
| key | redis需要访问的key，比如数据是以某个固定的key存放在redis里，值是一个list；redis执行lpush、rpush、sadd、hset等sink使用的命令时的key； |
| timeout | 连接redis的超时时间，单位毫秒 |
| max-total | 连接redis的连接池的最大连接数 |
| max-idle | 连接redis的连接池的最大空闲数 |
| min-idle | 连接redis的连接池的最小空闲数 |
| format | 格式化数据格式，如json、csv |
| batch-fetch-rows | 像LPOP、BLPOP、RPOP、BRPOP这种命令每次从redis拿到数据的条数 |
| lookup.cache.max-rows | 作为维表lookup模式，缓存在内存中的数据的最大条数 |
| lookup.cache.ttl | 作为维表lookup模式，缓存在内存中的数据的ttl超时时间，单位秒 |
| lookup.max-retries | 作为维表lookup模式，查找数据的失败重试次数 |
| lookup.cache.load-all | 作为维表lookup模式，查找数据是否加载所有，主要是针对hget命令，如：HGET KEY_NAME FIELD_NAME；是否根据key查出所有field的值，这里可以根据实际hash表的大小决定是否要查询所有出来缓存起来 |
| sink.max-retries | redis作为sink源时，最大重试次数 |
| sink.parallelism | redis作为sink源时，sink的并行数，默认并行度为核心数 |
| sink.key.ttl | redis作为sink源时，sink的数据保存在redis的ttl超时时间，单位秒，默认为-1表示长期保存 |
| lookup.max-retries | 作为维表lookup模式，查找数据的失败重试次数 |
源码地址：https://gitee.com/rongdi/flinksql-connector-redis/
flinksql读写redis的更多相关文章
- C# 读写redis C#读写实时数据库
本文将使用一个gitHub开源的组件技术来读写redis数据,使用的是基于以太网的TCP/IP实现,不需要额外的组件,读取操作只要放到后台线程就不会卡死线程,本组件支持超级方便的高性能读写操作 git ...
- Flink读写Redis（三）-读取redis数据
自定义flink的RedisSource,实现从redis中读取数据,这里借鉴了flink-connector-redis_2.11的实现逻辑,实现对redis读取的逻辑封装,flink-connec ...
- Python读写Redis数据库
import redis class Database: def __init__(self): self.host = 'localhost' self.port = 6379 def write( ...
- C#使用ServiceStack读写Redis
通过C#第三方库向Redis存储数据遇到的几个问题 https://github.com/ServiceStack/ServiceStack.Redis 1.将对象转json字符串 JsonObjec ...
- 使用nginx+lua脚本读写redis缓存
配置 新建spring boot项目增加redis配置 <dependency> <groupId>org.springframework.boot</groupId&g ...
- [C#] 用ServiceStack读写redis的性能问题
ServiceStack.Redis有个方法叫 AddRangeToList,这个方法是有性能问题的.这个方法的实现代码如下: public void AddRangeToList(string li ...
- Flink读写Redis（二）-flink-redis-connector代码学习
源码结构 RedisSink package org.apache.flink.streaming.connectors.redis; import org.apache.flink.configur ...
- Flink读写Redis（一）-写入Redis
项目pom文件 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w ...
- flink连接器-流处理-读写redis
写入redis resultStream.addSink(new RedisSink(FlinkUtils.getRedisSinkConfig(parameters),new MyRedisMapp ...
随机推荐
- 获取字典中values值中最大的数，返回对应的keys
1.字典中键值对的获取 print(data.values()) # 查看字典的值 print(data.keys()) # 查看字典的key 2.对字典中的值进行排序 sorted(data.val ...
- python jinjia2 高级
高层api class jinja2.Environment([options]) Enviroment:环境,是Jinjia2的核心组件,它包含重要的共享变量,如配置.过滤器.测试.全局变量.模板加 ...
- python 面向对象理解
简介 与java语言一样,python也属于面向对象编程,除此之外,还有面向过程编程.函数式编程. 面向过程编程:依据业务逻辑自上而下一步一步编写, 可能会存在冗余现象 函数式编程:需要编程语言可以将 ...
- git常见问题及解决方法
简介 由于在git使用过程中会出现各种各样的问题,因此本文将常见的问题记录下来并提供相应的解决方案,方便后续查找. git pull问题: There is no tracking informati ...
- 清北学堂 2020 国庆J2考前综合强化 Day3
目录 1. 题目 T1 石头剪刀布 题目描述 Sol T2 铺地毯 题目描述 Sol T3 数列游戏 题目描述 Sol T4 数星星 题目描述 Sol 2. 算法 -- 动态规划 1. 概述 2. 线 ...
- PHP小工具
防SQL注入 function clean($input) { if (is_array($input)) { foreach ($input as $key => $val) { $outpu ...
- Excel 笔记目录
前言 Excel 是微软(Microsoft)公司推出的 Office 办公系列软件的一个重要组成部分,主要用于电子表格处理,可以高效地完成各种表格和图表的设计,进行复杂的数据计算和分析. 一句科普 ...
- 如何保证遍历parent的时候的task的存在性
在一次crash的排查过程中,有这么一个内核模块,他需要往上遍历父进程, 但是在拿父进程task_struct中的一个成员的时候,发现为NULL了, 具体查看父进程,原来它收到信号退出中. 那么怎么保 ...
- python爬虫之BeautifulSoup4使用
钢铁知识库,一个学习python爬虫.数据分析的知识库.人生苦短,快用python. 上一章我们讲解针对结构化的html.xml数据,使用Xpath实现网页内容爬取.本章我们再来聊另一个高效的神器:B ...
- 一次客户需求引发的K8S网络探究
前言 在本次案例中,我们的中台技术工程师遇到了来自客户提出的打破k8s产品功能限制的特殊需求,面对这个极具挑战的任务,攻城狮最终是否克服了重重困难,帮助客户完美实现了需求?且看本期K8S技术案例分享! ...