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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-6968) Store streaming, updating tables with unique key in queryable state
Date Wed, 14 Mar 2018 07:03:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-6968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16398169#comment-16398169
] 

ASF GitHub Bot commented on FLINK-6968:
---------------------------------------

Github user liurenjie1024 commented on a diff in the pull request:

    https://github.com/apache/flink/pull/5688#discussion_r174366980
  
    --- Diff: flink-libraries/flink-table/src/test/scala/org/apache/flink/table/runtime/stream/table/QueryableTableSinkTest.scala
---
    @@ -0,0 +1,102 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + * http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.table.runtime.stream.table
    +
    +import java.lang.{Boolean => JBool}
    +
    +import org.apache.flink.api.common.state.ValueStateDescriptor
    +import org.apache.flink.api.common.time.Time
    +import org.apache.flink.api.common.typeinfo.TypeInformation
    +import org.apache.flink.api.java.tuple.{Tuple2 => JTuple2}
    +import org.apache.flink.api.java.typeutils.RowTypeInfo
    +import org.apache.flink.streaming.api.operators.LegacyKeyedProcessOperator
    +import org.apache.flink.table.api.StreamQueryConfig
    +import org.apache.flink.table.runtime.harness.HarnessTestBase
    +import org.apache.flink.table.sinks.{QueryableStateProcessFunction, RowKeySelector}
    +import org.apache.flink.types.Row
    +import org.junit.Assert.assertEquals
    +import org.junit.Test
    +
    +class QueryableTableSinkTest extends HarnessTestBase {
    +  @Test
    +  def testRowSelector(): Unit = {
    +    val keyTypes = Array(TypeInformation.of(classOf[List[Int]]), TypeInformation.of(classOf[String]))
    +    val selector = new RowKeySelector(Array(0, 2), new RowTypeInfo(keyTypes:_*))
    +
    +    val src = Row.of(List(1), "a", "b")
    +    val key = selector.getKey(JTuple2.of(true, src))
    +
    +    assertEquals(Row.of(List(1), "b"), key)
    +  }
    +
    +  @Test
    +  def testProcessFunction(): Unit = {
    +    val queryConfig = new StreamQueryConfig()
    +      .withIdleStateRetentionTime(Time.milliseconds(2), Time.milliseconds(10))
    +
    +    val keys = Array("id")
    +    val keyType = new RowTypeInfo(TypeInformation.of(classOf[String]))
    +    val fieldNames = Array("id", "is_manager", "name")
    +    val fieldTypes: Array[TypeInformation[_]] = Array(
    +      TypeInformation.of(classOf[String]).asInstanceOf[TypeInformation[_]],
    +      TypeInformation.of(classOf[JBool]).asInstanceOf[TypeInformation[_]],
    +      TypeInformation.of(classOf[String]).asInstanceOf[TypeInformation[_]])
    +    val func = new QueryableStateProcessFunction("test", queryConfig, keys, fieldNames,
fieldTypes)
    +
    +    val operator = new LegacyKeyedProcessOperator[Row, JTuple2[JBool, Row], Void](func)
    --- End diff --
    
    Same as above.


> Store streaming, updating tables with unique key in queryable state
> -------------------------------------------------------------------
>
>                 Key: FLINK-6968
>                 URL: https://issues.apache.org/jira/browse/FLINK-6968
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table API &amp; SQL
>            Reporter: Fabian Hueske
>            Assignee: Renjie Liu
>            Priority: Major
>
> Streaming tables with unique key are continuously updated. For example queries with a
non-windowed aggregation generate such tables. Commonly, such updating tables are emitted
via an upsert table sink to an external datastore (k-v store, database) to make it accessible
to applications.
> This issue is about adding a feature to store and maintain such a table as queryable
state in Flink. By storing the table in Flnk's queryable state, we do not need an external
data store to access the results of the query but can query the results directly from Flink.



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