Changed as suggested
val streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
val dataStream = streamExecEnv
.addSource(new FlinkKafkaConsumer011[String](topicsValue, new
SimpleStringSchema(), properties))
val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker,
'timeissued, 'price)
Still the same error
[info] Compiling 1 Scala source to
/home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error]
/home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139:
overloaded method value registerDataStream with alternatives:
[error] [T](name: String, dataStream:
org.apache.flink.streaming.api.datastream.DataStream[T], fields:
String)Unit <and>
[error] [T](name: String, dataStream:
org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error] cannot be applied to (String,
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment,
Symbol, Symbol, Symbol, Symbol)
[error] tableEnv.registerDataStream("table1", streamExecEnv, 'key,
'ticker, 'timeissued, 'price)
[error] ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM
Thanks anyway.
Dr Mich Talebzadeh
LinkedIn *
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loss, damage or destruction of data or any other property which may arise
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The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <fhue...@gmail.com> wrote:
> Hi,
>
> You have to pass the StreamExecutionEnvironment to the
> getTableEnvironment() method, not the DataStream (or DataStreamSource).
> Change
>
> val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
>
> to
>
> val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
>
> Best,
> Fabian
>
> 2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <mich.talebza...@gmail.com>:
>
>> Hi,
>>
>> FYI, these are my imports
>>
>> import java.util.Properties
>> import java.util.Arrays
>> import org.apache.flink.api.common.functions.MapFunction
>> import
>> org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
>> import org.apache.flink.streaming.api.scala
>> import org.apache.flink.streaming.util.serialization.SimpleStringSchema
>> import org.apache.flink.table.api.TableEnvironment
>> import org.apache.flink.table.api.scala._
>> import org.apache.flink.api.scala._
>> import org.apache.kafka.clients.consumer.ConsumerConfig
>> import org.apache.kafka.clients.consumer.ConsumerRecord
>> import org.apache.kafka.clients.consumer.KafkaConsumer
>> import org.apache.flink.core.fs.FileSystem
>> import org.apache.flink.streaming.api.TimeCharacteristic
>> import org.slf4j.LoggerFactory
>> import
>> org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011,
>> FlinkKafkaProducer011}
>> import java.util.Calendar
>> import java.util.Date
>> import java.text.DateFormat
>> import java.text.SimpleDateFormat
>> import org.apache.log4j.Logger
>> import org.apache.log4j.Level
>> import sys.process.stringSeqToProcess
>> import java.io.File
>>
>> And this is the simple code
>>
>> val properties = new Properties()
>> properties.setProperty("bootstrap.servers", bootstrapServers)
>> properties.setProperty("zookeeper.connect", zookeeperConnect)
>> properties.setProperty("group.id", flinkAppName)
>> properties.setProperty("auto.offset.reset", "latest")
>> val streamExecEnv =
>> StreamExecutionEnvironment.getExecutionEnvironment
>> val dataStream = streamExecEnv
>> .addSource(new FlinkKafkaConsumer011[String](topicsValue, new
>> SimpleStringSchema(), properties))
>> val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
>> tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker,
>> 'timeissued, 'price)
>>
>> And this is the compilation error
>>
>> info] Compiling 1 Scala source to
>> /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
>> [error]
>> /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138:
>> overloaded method value getTableEnvironment with alternatives:
>> [error] (executionEnvironment:
>> org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment
>> <and>
>> [error] (executionEnvironment:
>> org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment
>> <and>
>> [error] (executionEnvironment:
>> org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment
>> <and>
>> [error] (executionEnvironment:
>> org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
>> [error] cannot be applied to
>> (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
>> [error] val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
>> [error] ^
>> [error] one error found
>> [error] (compile:compileIncremental) Compilation failed
>> [error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
>> Completed compiling
>>
>> which is really strange
>>
>> Dr Mich Talebzadeh
>>
>>
>>
>> LinkedIn *
>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>
>>
>>
>> http://talebzadehmich.wordpress.com
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <fhue...@gmail.com> wrote:
>>
>>> Hi I think you are mixing Java and Scala dependencies.
>>>
>>> org.apache.flink.streaming.api.datastream.DataStream is the DataStream
>>> of the Java DataStream API.
>>> You should use the DataStream of the Scala DataStream API.
>>>
>>> Best, Fabian
>>>
>>> 2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <mich.talebza...@gmail.com>:
>>>
>>>> Hi,
>>>>
>>>> I believed I tried Hequn's suggestion and tried again
>>>>
>>>> import org.apache.flink.table.api.Table
>>>> import org.apache.flink.table.api.TableEnvironment
>>>>
>>>> *import org.apache.flink.table.api.scala._*
>>>> Unfortunately I am still getting the same error!
>>>>
>>>> [info] Compiling 1 Scala source to
>>>> /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
>>>> [error]
>>>> /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151:
>>>> overloaded method value fromDataStream with alternatives:
>>>> [error] [T](dataStream:
>>>> org.apache.flink.streaming.api.datastream.DataStream[T], fields:
>>>> String)org.apache.flink.table.api.Table <and>
>>>> [error] [T](dataStream:
>>>> org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
>>>> [error] cannot be applied to
>>>> (org.apache.flink.streaming.api.datastream.DataStreamSource[String],
>>>> Symbol, Symbol, Symbol, Symbol)
>>>> [error] val table1: Table = tableEnv.fromDataStream(dataStream, 'key,
>>>> 'ticker, 'timeissued, 'price)
>>>> [error] ^
>>>> [error] one error found
>>>> [error] (compile:compileIncremental) Compilation failed
>>>> [error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
>>>> Completed compiling
>>>>
>>>>
>>>> Dr Mich Talebzadeh
>>>>
>>>>
>>>>
>>>> LinkedIn *
>>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>
>>>>
>>>>
>>>> http://talebzadehmich.wordpress.com
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, 1 Aug 2018 at 10:03, Timo Walther <twal...@apache.org> wrote:
>>>>
>>>>> If these two imports are the only imports that you added, then you did
>>>>> not follow Hequn's advice or the link that I sent you.
>>>>>
>>>>> You need to add the underscore imports to let Scala do its magic.
>>>>>
>>>>> Timo
>>>>>
>>>>>
>>>>> Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:
>>>>>
>>>>> Hi Timo,
>>>>>
>>>>> These are my two flink table related imports
>>>>>
>>>>> import org.apache.flink.table.api.Table
>>>>> import org.apache.flink.table.api.TableEnvironment
>>>>>
>>>>> And these are my dependencies building with SBT
>>>>>
>>>>> libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
>>>>> libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
>>>>> libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
>>>>> libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
>>>>> libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"
>>>>> libraryDependencies += "org.apache.flink" %%
>>>>> "flink-connector-kafka-0.11" % "1.5.0"
>>>>> libraryDependencies += "org.apache.flink" %%
>>>>> "flink-connector-kafka-base" % "1.5.0"
>>>>> libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
>>>>> libraryDependencies += "org.apache.kafka" % "kafka-clients" %
>>>>> "0.11.0.0"
>>>>> libraryDependencies += "org.apache.flink" %% "flink-streaming-java" %
>>>>> "1.5.0" % "provided"
>>>>>
>>>>> *libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0"
>>>>> % "provided" *libraryDependencies += "org.apache.kafka" %% "kafka" %
>>>>> "0.11.0.0"
>>>>>
>>>>> There appears to be conflict somewhere that cause this error
>>>>>
>>>>> [info] Compiling 1 Scala source to
>>>>> /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
>>>>> [error]
>>>>> /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152:
>>>>> overloaded method value fromDataStream with alternatives:
>>>>> [error] [T](dataStream:
>>>>> org.apache.flink.streaming.api.datastream.DataStream[T], fields:
>>>>> String)org.apache.flink.table.api.Table <and>
>>>>> [error] [T](dataStream:
>>>>> org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
>>>>> [error] cannot be applied to
>>>>> (org.apache.flink.streaming.api.datastream.DataStreamSource[String],
>>>>> Symbol, Symbol, Symbol, Symbol)
>>>>> [error] val table1: Table = tableEnv.fromDataStream(dataStream,
>>>>> 'key, 'ticker, 'timeissued, 'price)
>>>>> [error] ^
>>>>> [error] one error found
>>>>> [error] (compile:compileIncremental) Compilation failed
>>>>>
>>>>> Thanks
>>>>>
>>>>>
>>>>> Dr Mich Talebzadeh
>>>>>
>>>>>
>>>>>
>>>>> LinkedIn *
>>>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>
>>>>>
>>>>>
>>>>> http://talebzadehmich.wordpress.com
>>>>>
>>>>>
>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>>> any loss, damage or destruction of data or any other property which may
>>>>> arise from relying on this email's technical content is explicitly
>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>> arising from such loss, damage or destruction.
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> On Wed, 1 Aug 2018 at 09:17, Timo Walther <twal...@apache.org> wrote:
>>>>>
>>>>>> Hi Mich,
>>>>>>
>>>>>> I would check you imports again [1]. This is a pure compiler issue
>>>>>> that is unrelated to your actual data stream. Also check your project
>>>>>> dependencies.
>>>>>>
>>>>>> Regards,
>>>>>> Timo
>>>>>>
>>>>>> [1]
>>>>>> https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala
>>>>>>
>>>>>> Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:
>>>>>>
>>>>>>
>>>>>> Hi both,
>>>>>>
>>>>>> I added the import as Hequn suggested.
>>>>>>
>>>>>> My stream is very simple and consists of 4 values separated by "," as
>>>>>> below
>>>>>>
>>>>>> 05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48
>>>>>>
>>>>>> So this is what I have been trying to do
>>>>>>
>>>>>> Code
>>>>>>
>>>>>> val dataStream = streamExecEnv
>>>>>> .addSource(new FlinkKafkaConsumer011[String](topicsValue, new
>>>>>> SimpleStringSchema(), properties))
>>>>>> //
>>>>>> //
>>>>>> val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
>>>>>> val table1: Table = tableEnv.fromDataStream(dataStream, 'key,
>>>>>> 'ticker, 'timeissued, 'price)
>>>>>>
>>>>>> note those four columns in Table1 definition
>>>>>>
>>>>>> And this is the error being thrown
>>>>>>
>>>>>> [info] Compiling 1 Scala source to
>>>>>> /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
>>>>>> [error]
>>>>>> /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152:
>>>>>> overloaded method value fromDataStream with alternatives:
>>>>>> [error] [T](dataStream:
>>>>>> org.apache.flink.streaming.api.datastream.DataStream[T], fields:
>>>>>> String)org.apache.flink.table.api.Table <and>
>>>>>> [error] [T](dataStream:
>>>>>> org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
>>>>>> [error] cannot be applied to
>>>>>> (org.apache.flink.streaming.api.datastream.DataStreamSource[String],
>>>>>> Symbol, Symbol, Symbol, Symbol)
>>>>>> [error] val table1: Table = tableEnv.fromDataStream(dataStream,
>>>>>> 'key, 'ticker, 'timeissued, 'price)
>>>>>> [error] ^
>>>>>> [error] one error found
>>>>>> [error] (compile:compileIncremental) Compilation failed
>>>>>>
>>>>>> I suspect dataStream may not be compatible with this operation?
>>>>>>
>>>>>> Regards,
>>>>>>
>>>>>> Dr Mich Talebzadeh
>>>>>>
>>>>>>
>>>>>>
>>>>>> LinkedIn *
>>>>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>
>>>>>>
>>>>>>
>>>>>> http://talebzadehmich.wordpress.com
>>>>>>
>>>>>>
>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>> for any loss, damage or destruction of data or any other property which
>>>>>> may
>>>>>> arise from relying on this email's technical content is explicitly
>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>> arising from such loss, damage or destruction.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Wed, 1 Aug 2018 at 04:51, Hequn Cheng <chenghe...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi, Mich
>>>>>>>
>>>>>>> You can try adding "import org.apache.flink.table.api.scala._", so
>>>>>>> that the Symbol can be recognized as an Expression.
>>>>>>>
>>>>>>> Best, Hequn
>>>>>>>
>>>>>>> On Wed, Aug 1, 2018 at 6:16 AM, Mich Talebzadeh <
>>>>>>> mich.talebza...@gmail.com> wrote:
>>>>>>>
>>>>>>>> Hi,
>>>>>>>>
>>>>>>>> I am following this example
>>>>>>>>
>>>>>>>>
>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/common.html#integration-with-datastream-and-dataset-api
>>>>>>>>
>>>>>>>> This is my dataStream which is built on a Kafka topic
>>>>>>>>
>>>>>>>> //
>>>>>>>> //Create a Kafka consumer
>>>>>>>> //
>>>>>>>> val dataStream = streamExecEnv
>>>>>>>> .addSource(new FlinkKafkaConsumer011[String](topicsValue,
>>>>>>>> new SimpleStringSchema(), properties))
>>>>>>>> //
>>>>>>>> //
>>>>>>>> val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
>>>>>>>> val table1: Table = tableEnv.fromDataStream(dataStream, 'key,
>>>>>>>> 'ticker, 'timeissued, 'price)
>>>>>>>>
>>>>>>>> While compiling it throws this error
>>>>>>>>
>>>>>>>> [error]
>>>>>>>> /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:169:
>>>>>>>> overloaded method value fromDataStream with alternatives:
>>>>>>>> [error] [T](dataStream:
>>>>>>>> org.apache.flink.streaming.api.datastream.DataStream[T], fields:
>>>>>>>> String)org.apache.flink.table.api.Table <and>
>>>>>>>> [error] [T](dataStream:
>>>>>>>> org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
>>>>>>>> [error] cannot be applied to
>>>>>>>> (org.apache.flink.streaming.api.datastream.DataStreamSource[String],
>>>>>>>> Symbol, Symbol, Symbol, Symbol)
>>>>>>>> [error] val table1: Table = tableEnv.fromDataStream(dataStream,
>>>>>>>> 'key, 'ticker, 'timeissued, 'price)
>>>>>>>> [error] ^
>>>>>>>> [error] one error found
>>>>>>>> [error] (compile:compileIncremental) Compilation failed
>>>>>>>>
>>>>>>>> The topic is very simple, it is comma separated prices. I tried
>>>>>>>> mapFunction and flatMap but neither worked!
>>>>>>>>
>>>>>>>> Thanks,
>>>>>>>>
>>>>>>>>
>>>>>>>> Dr Mich Talebzadeh
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> LinkedIn *
>>>>>>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> http://talebzadehmich.wordpress.com
>>>>>>>>
>>>>>>>>
>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>>>> for any loss, damage or destruction of data or any other property
>>>>>>>> which may
>>>>>>>> arise from relying on this email's technical content is explicitly
>>>>>>>> disclaimed. The author will in no case be liable for any monetary
>>>>>>>> damages
>>>>>>>> arising from such loss, damage or destruction.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>
>
