[
https://issues.apache.org/jira/browse/FLINK-2828?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15258271#comment-15258271
]
ASF GitHub Bot commented on FLINK-2828:
---------------------------------------
Github user vasia commented on a diff in the pull request:
https://github.com/apache/flink/pull/1939#discussion_r61106226
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/api/scala/table/test/TableSourceITCase.scala
---
@@ -0,0 +1,123 @@
+/*
+ * 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.api.scala.table.test
+
+import org.apache.flink.api.common.io.GenericInputFormat
+import org.apache.flink.api.common.typeinfo.{TypeInformation,
BasicTypeInfo}
+import org.apache.flink.api.scala._
+import org.apache.flink.api.scala.table._
+import org.apache.flink.api.java.{ExecutionEnvironment => JavaExecEnv,
DataSet => JavaSet}
+import org.apache.flink.api.scala.ExecutionEnvironment
+import org.apache.flink.api.table.sources.BatchTableSource
+import org.apache.flink.api.table.typeutils.RowTypeInfo
+import org.apache.flink.api.table.{Row, TableEnvironment}
+import org.apache.flink.api.table.test.utils.TableProgramsTestBase
+import
org.apache.flink.api.table.test.utils.TableProgramsTestBase.TableConfigMode
+import
org.apache.flink.test.util.MultipleProgramsTestBase.TestExecutionMode
+import org.apache.flink.test.util.TestBaseUtils
+import org.junit.Test
+import org.junit.runner.RunWith
+import org.junit.runners.Parameterized
+
+import scala.collection.JavaConverters._
+
+@RunWith(classOf[Parameterized])
+class TableSourceITCase(
+ mode: TestExecutionMode,
+ configMode: TableConfigMode)
+ extends TableProgramsTestBase(mode, configMode) {
+
+ @Test
+ def testStreamTableSourceTableAPI(): Unit = {
+
+ val env = ExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+
+ tEnv.registerTableSource("MyTestTable", new TestBatchTableSource())
+ val results = tEnv
+ .scan("MyTestTable")
+ .where('amount < 4)
+ .select('amount * 'id, 'name)
+ .toDataSet[Row].collect()
+
+ val expected = Seq(
+ "0,Record_0", "0,Record_16", "0,Record_32", "1,Record_1",
"17,Record_17",
+ "36,Record_18", "4,Record_2", "57,Record_19",
"9,Record_3").mkString("\n")
+ TestBaseUtils.compareResultAsText(results.asJava, expected)
+ }
+
+ @Test
+ def testStreamTableSourceSQL(): Unit = {
--- End diff --
here too :)
> Add interfaces for Table API input formats
> ------------------------------------------
>
> Key: FLINK-2828
> URL: https://issues.apache.org/jira/browse/FLINK-2828
> Project: Flink
> Issue Type: New Feature
> Components: Table API
> Reporter: Timo Walther
> Assignee: Fabian Hueske
>
> In order to support input formats for the Table API, interfaces are
> necessary. I propose two types of TableSources:
> - AdaptiveTableSources can adapt their output to the requirements of the
> plan. Although the output schema stays the same, the TableSource can react on
> field resolution and/or predicates internally and can return adapted
> DataSet/DataStream versions in the "translate" step.
> - StaticTableSources are an easy way to provide the Table API with additional
> input formats without much implementation effort (e.g. for fromCsvFile())
> TableSources need to be deeply integrated into the Table API.
> The TableEnvironment requires a newly introduced AbstractExecutionEnvironment
> (common super class of all ExecutionEnvironments for DataSets and
> DataStreams).
> Here's what a TableSource can see from more complicated queries:
> {code}
> getTableJava(tableSource1)
> .filter("a===5 || a===6")
> .select("a as a4, b as b4, c as c4")
> .filter("b4===7")
> .join(getTableJava(tableSource2))
> .where("a===a4 && c==='Test' && c4==='Test2'")
> // Result predicates for tableSource1:
> // List("a===5 || a===6", "b===7", "c==='Test2'")
> // Result predicates for tableSource2:
> // List("c==='Test'")
> // Result resolved fields for tableSource1 (true = filtering,
> false=selection):
> // Set(("a", true), ("a", false), ("b", true), ("b", false), ("c", false),
> ("c", true))
> // Result resolved fields for tableSource2 (true = filtering,
> false=selection):
> // Set(("a", true), ("c", true))
> {code}
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