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Posted to user-zh@flink.apache.org by Zhou Zach <wa...@163.com> on 2020/06/15 11:55:49 UTC
flink sql 怎样将从hbase中取出的BYTES类型转换成Int
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]
Re: flink sql 怎样将从hbase中取出的BYTES类型转换成Int
Posted by Leonard Xu <xb...@gmail.com>.
Hi,
看你有两个地方声明hbase的表，
> | cf ROW(sex VARCHAR, age INT, created_time TIMESTAMP(3))
这种方式应该是ok的，
> users.addColumn("cf", "age", classOf[Array[Byte]])
你这里为什么声明 age 的data type 为什么声明 classOf[Array[Byte]] ？ 是不是忘了修改了？
这里使用 users.addColumn("cf", "age", classOf[Integer]) 应该就行了。
通过DDL 或者 在TableEnvironment 上注册表，使用一个就行了。建议用DDL
祝好
Re:Re:Re: flink sql 怎样将从hbase中取出的BYTES类型转换成Int
Posted by Zhou Zach <wa...@163.com>.
hbase中维表：
streamTableEnv.sqlUpdate(
"""
|
|CREATE TABLE user_hbase3(
| rowkey string,
| cf ROW(sex VARCHAR, age INT, created_time TIMESTAMP(3))
|) WITH (
| 'connector.type' = 'hbase',
| 'connector.version' = '2.1.0',
| 'connector.table-name' = 'user_hbase3',
| 'connector.zookeeper.quorum' = 'cdh1:2181,cdh2:2181,cdh3:2181',
| 'connector.zookeeper.znode.parent' = '/hbase',
| 'connector.write.buffer-flush.max-size' = '10mb',
| 'connector.write.buffer-flush.max-rows' = '1000',
| 'connector.write.buffer-flush.interval' = '2s'
|)
|""".stripMargin)
At 2020-06-15 20:19:22, "Zhou Zach" <wa...@163.com> wrote:
>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)
>
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>在 2020-06-15 20:01:16，"Leonard Xu" <xb...@gmail.com> 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 <wa...@163.com> 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]
Re:Re: flink sql 怎样将从hbase中取出的BYTES类型转换成Int
Posted by Zhou Zach <wa...@163.com>.
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" <xb...@gmail.com> 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 <wa...@163.com> 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]
Re: flink sql 怎样将从hbase中取出的BYTES类型转换成Int
Posted by Leonard Xu <xb...@gmail.com>.
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 <wa...@163.com> 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]