val streamExecutionEnv = StreamExecutionEnvironment.getExecutionEnvironment
val blinkEnvSettings =
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build()
val streamTableEnv = StreamTableEnvironment.create(streamExecutionEnv,
blinkEnvSettings)
val conf = new Configuration
val users = new HBaseTableSource(conf, "user_hbase3")
users.setRowKey("rowkey", classOf[String]) // currency as the primary key
users.addColumn("cf", "age", classOf[Array[Byte]])
streamTableEnv.registerTableSource("users", users)
streamTableEnv.sqlUpdate(
"""
|
|CREATE TABLE user_behavior (
| uid VARCHAR,
| phoneType VARCHAR,
| clickCount INT,
| `time` TIMESTAMP(3)
|) WITH (
| 'connector.type' = 'kafka',
| 'connector.version' = 'universal',
| 'connector.topic' = 'user_behavior',
| 'connector.startup-mode' = 'earliest-offset',
| 'connector.properties.0.key' = 'zookeeper.connect',
| 'connector.properties.0.value' = 'cdh1:2181,cdh2:2181,cdh3:2181',
| 'connector.properties.1.key' = 'bootstrap.servers',
| 'connector.properties.1.value' = 'cdh1:9092,cdh2:9092,cdh3:9092',
| 'update-mode' = 'append',
| 'format.type' = 'json',
| 'format.derive-schema' = 'true'
|)
|""".stripMargin)
streamTableEnv.sqlUpdate(
"""
|
|CREATE TABLE user_cnt (
| `time` VARCHAR,
| sum_age INT
|) WITH (
| 'connector.type' = 'jdbc',
| 'connector.url' = 'jdbc:mysql://localhost:3306/dashboard',
| 'connector.table' = 'user_cnt',
| 'connector.username' = 'root',
| 'connector.password' = '123456',
| 'connector.write.flush.max-rows' = '1'
|)
|""".stripMargin)
streamTableEnv.sqlUpdate(
"""
|
|insert into user_cnt
|SELECT
| cast(b.`time` as string) as `time`, u.age
|FROM
| (select * , PROCTIME() AS proctime from user_behavior) AS b
| JOIN users FOR SYSTEM_TIME AS OF b.`proctime` AS u
| ON b.uid = u.rowkey
|
|""".stripMargin)
在 2020-06-15 20:01:16，"Leonard Xu" <[email protected]> 写道：
>Hi，
>看起来是你query的 schema 和 table (sink) 的schema 没有对应上，hbase中的数据都是bytes存储，在 flink sql
>中一般不需要读取bytes，读取到的数据应该是 FLINK SQL对应的类型，如 int, bigint，string等，方便把你的 SQL 贴下吗？
>
>祝好，
>Leonard Xu
>
>> 在 2020年6月15日，19:55，Zhou Zach <[email protected]> 写道：
>>
>>
>>
>>
>>
>> Exception in thread "main" org.apache.flink.table.api.ValidationException:
>> Field types of query result and registered TableSink
>> default_catalog.default_database.user_cnt do not match.
>> Query schema: [time: STRING, age: BYTES]
>> Sink schema: [time: STRING, sum_age: INT]
