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Example 76 with FileInputSplit

use of org.apache.flink.core.fs.FileInputSplit in project flink by apache.

the class ReplicatingDataSourceTest method checkJoinWithReplicatedSourceInputBehindMapChangingparallelism.

/**
	 * Tests compiler fail for join program with replicated data source behind map and changing parallelism.
	 */
@Test(expected = CompilerException.class)
public void checkJoinWithReplicatedSourceInputBehindMapChangingparallelism() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    TupleTypeInfo<Tuple1<String>> typeInfo = TupleTypeInfo.getBasicTupleTypeInfo(String.class);
    ReplicatingInputFormat<Tuple1<String>, FileInputSplit> rif = new ReplicatingInputFormat<Tuple1<String>, FileInputSplit>(new TupleCsvInputFormat<Tuple1<String>>(new Path("/some/path"), typeInfo));
    DataSet<Tuple1<String>> source1 = env.createInput(rif, new TupleTypeInfo<Tuple1<String>>(BasicTypeInfo.STRING_TYPE_INFO));
    DataSet<Tuple1<String>> source2 = env.readCsvFile("/some/otherpath").types(String.class);
    DataSink<Tuple2<Tuple1<String>, Tuple1<String>>> out = source1.map(new IdMap()).setParallelism(DEFAULT_PARALLELISM + 1).join(source2).where("*").equalTo("*").writeAsText("/some/newpath");
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
}
Also used : Path(org.apache.flink.core.fs.Path) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) ReplicatingInputFormat(org.apache.flink.api.common.io.ReplicatingInputFormat) FileInputSplit(org.apache.flink.core.fs.FileInputSplit) Tuple1(org.apache.flink.api.java.tuple.Tuple1) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Test(org.junit.Test)

Example 77 with FileInputSplit

use of org.apache.flink.core.fs.FileInputSplit in project flink by apache.

the class ReplicatingDataSourceTest method checkJoinWithReplicatedSourceInputBehindRebalance.

/**
	 * Tests compiler fail for join program with replicated data source behind rebalance.
	 */
@Test(expected = CompilerException.class)
public void checkJoinWithReplicatedSourceInputBehindRebalance() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    TupleTypeInfo<Tuple1<String>> typeInfo = TupleTypeInfo.getBasicTupleTypeInfo(String.class);
    ReplicatingInputFormat<Tuple1<String>, FileInputSplit> rif = new ReplicatingInputFormat<Tuple1<String>, FileInputSplit>(new TupleCsvInputFormat<Tuple1<String>>(new Path("/some/path"), typeInfo));
    DataSet<Tuple1<String>> source1 = env.createInput(rif, new TupleTypeInfo<Tuple1<String>>(BasicTypeInfo.STRING_TYPE_INFO));
    DataSet<Tuple1<String>> source2 = env.readCsvFile("/some/otherpath").types(String.class);
    DataSink<Tuple2<Tuple1<String>, Tuple1<String>>> out = source1.rebalance().join(source2).where("*").equalTo("*").writeAsText("/some/newpath");
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
}
Also used : Path(org.apache.flink.core.fs.Path) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) ReplicatingInputFormat(org.apache.flink.api.common.io.ReplicatingInputFormat) FileInputSplit(org.apache.flink.core.fs.FileInputSplit) Tuple1(org.apache.flink.api.java.tuple.Tuple1) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Test(org.junit.Test)

Example 78 with FileInputSplit

use of org.apache.flink.core.fs.FileInputSplit in project flink by apache.

the class ReplicatingDataSourceTest method checkJoinWithReplicatedSourceInputBehindFilter.

/**
	 * Tests join program with replicated data source behind filter.
	 */
@Test
public void checkJoinWithReplicatedSourceInputBehindFilter() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    TupleTypeInfo<Tuple1<String>> typeInfo = TupleTypeInfo.getBasicTupleTypeInfo(String.class);
    ReplicatingInputFormat<Tuple1<String>, FileInputSplit> rif = new ReplicatingInputFormat<Tuple1<String>, FileInputSplit>(new TupleCsvInputFormat<Tuple1<String>>(new Path("/some/path"), typeInfo));
    DataSet<Tuple1<String>> source1 = env.createInput(rif, new TupleTypeInfo<Tuple1<String>>(BasicTypeInfo.STRING_TYPE_INFO));
    DataSet<Tuple1<String>> source2 = env.readCsvFile("/some/otherpath").types(String.class);
    DataSink<Tuple2<Tuple1<String>, Tuple1<String>>> out = source1.filter(new NoFilter()).join(source2).where("*").equalTo("*").writeAsText("/some/newpath");
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
    // check the optimized Plan
    // when join should have forward strategy on both sides
    SinkPlanNode sinkNode = oPlan.getDataSinks().iterator().next();
    DualInputPlanNode joinNode = (DualInputPlanNode) sinkNode.getPredecessor();
    ShipStrategyType joinIn1 = joinNode.getInput1().getShipStrategy();
    ShipStrategyType joinIn2 = joinNode.getInput2().getShipStrategy();
    Assert.assertEquals("Invalid ship strategy for an operator.", ShipStrategyType.FORWARD, joinIn1);
    Assert.assertEquals("Invalid ship strategy for an operator.", ShipStrategyType.FORWARD, joinIn2);
}
Also used : Path(org.apache.flink.core.fs.Path) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) ShipStrategyType(org.apache.flink.runtime.operators.shipping.ShipStrategyType) DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) ReplicatingInputFormat(org.apache.flink.api.common.io.ReplicatingInputFormat) FileInputSplit(org.apache.flink.core.fs.FileInputSplit) Tuple1(org.apache.flink.api.java.tuple.Tuple1) Tuple2(org.apache.flink.api.java.tuple.Tuple2) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) Test(org.junit.Test)

Example 79 with FileInputSplit

use of org.apache.flink.core.fs.FileInputSplit in project flink by apache.

the class ReplicatingDataSourceTest method checkJoinWithReplicatedSourceInputBehindReduce.

/**
	 * Tests compiler fail for join program with replicated data source behind reduce.
	 */
@Test(expected = CompilerException.class)
public void checkJoinWithReplicatedSourceInputBehindReduce() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    TupleTypeInfo<Tuple1<String>> typeInfo = TupleTypeInfo.getBasicTupleTypeInfo(String.class);
    ReplicatingInputFormat<Tuple1<String>, FileInputSplit> rif = new ReplicatingInputFormat<Tuple1<String>, FileInputSplit>(new TupleCsvInputFormat<Tuple1<String>>(new Path("/some/path"), typeInfo));
    DataSet<Tuple1<String>> source1 = env.createInput(rif, new TupleTypeInfo<Tuple1<String>>(BasicTypeInfo.STRING_TYPE_INFO));
    DataSet<Tuple1<String>> source2 = env.readCsvFile("/some/otherpath").types(String.class);
    DataSink<Tuple2<Tuple1<String>, Tuple1<String>>> out = source1.reduce(new LastReduce()).join(source2).where("*").equalTo("*").writeAsText("/some/newpath");
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
}
Also used : Path(org.apache.flink.core.fs.Path) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) ReplicatingInputFormat(org.apache.flink.api.common.io.ReplicatingInputFormat) FileInputSplit(org.apache.flink.core.fs.FileInputSplit) Tuple1(org.apache.flink.api.java.tuple.Tuple1) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Test(org.junit.Test)

Example 80 with FileInputSplit

use of org.apache.flink.core.fs.FileInputSplit in project flink by apache.

the class ReplicatingDataSourceTest method checkJoinWithReplicatedSourceInputBehindMultiMaps.

/**
	 * Tests join program with replicated data source behind multiple map ops.
	 */
@Test
public void checkJoinWithReplicatedSourceInputBehindMultiMaps() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    TupleTypeInfo<Tuple1<String>> typeInfo = TupleTypeInfo.getBasicTupleTypeInfo(String.class);
    ReplicatingInputFormat<Tuple1<String>, FileInputSplit> rif = new ReplicatingInputFormat<Tuple1<String>, FileInputSplit>(new TupleCsvInputFormat<Tuple1<String>>(new Path("/some/path"), typeInfo));
    DataSet<Tuple1<String>> source1 = env.createInput(rif, new TupleTypeInfo<Tuple1<String>>(BasicTypeInfo.STRING_TYPE_INFO));
    DataSet<Tuple1<String>> source2 = env.readCsvFile("/some/otherpath").types(String.class);
    DataSink<Tuple2<Tuple1<String>, Tuple1<String>>> out = source1.filter(new NoFilter()).mapPartition(new IdPMap()).flatMap(new IdFlatMap()).map(new IdMap()).join(source2).where("*").equalTo("*").writeAsText("/some/newpath");
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
    // check the optimized Plan
    // when join should have forward strategy on both sides
    SinkPlanNode sinkNode = oPlan.getDataSinks().iterator().next();
    DualInputPlanNode joinNode = (DualInputPlanNode) sinkNode.getPredecessor();
    ShipStrategyType joinIn1 = joinNode.getInput1().getShipStrategy();
    ShipStrategyType joinIn2 = joinNode.getInput2().getShipStrategy();
    Assert.assertEquals("Invalid ship strategy for an operator.", ShipStrategyType.FORWARD, joinIn1);
    Assert.assertEquals("Invalid ship strategy for an operator.", ShipStrategyType.FORWARD, joinIn2);
}
Also used : Path(org.apache.flink.core.fs.Path) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) ShipStrategyType(org.apache.flink.runtime.operators.shipping.ShipStrategyType) DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) ReplicatingInputFormat(org.apache.flink.api.common.io.ReplicatingInputFormat) FileInputSplit(org.apache.flink.core.fs.FileInputSplit) Tuple1(org.apache.flink.api.java.tuple.Tuple1) Tuple2(org.apache.flink.api.java.tuple.Tuple2) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) Test(org.junit.Test)

Aggregations

FileInputSplit (org.apache.flink.core.fs.FileInputSplit)140 Test (org.junit.Test)119 Configuration (org.apache.flink.configuration.Configuration)93 Path (org.apache.flink.core.fs.Path)59 IOException (java.io.IOException)45 File (java.io.File)36 FileOutputStream (java.io.FileOutputStream)23 TypeInformation (org.apache.flink.api.common.typeinfo.TypeInformation)20 Row (org.apache.flink.types.Row)20 OutputStreamWriter (java.io.OutputStreamWriter)18 ParseException (org.apache.flink.api.common.io.ParseException)17 ExecutionEnvironment (org.apache.flink.api.java.ExecutionEnvironment)17 DoubleValue (org.apache.flink.types.DoubleValue)17 IntValue (org.apache.flink.types.IntValue)17 LongValue (org.apache.flink.types.LongValue)17 StringValue (org.apache.flink.types.StringValue)17 Value (org.apache.flink.types.Value)17 Plan (org.apache.flink.api.common.Plan)12 ReplicatingInputFormat (org.apache.flink.api.common.io.ReplicatingInputFormat)12 Tuple1 (org.apache.flink.api.java.tuple.Tuple1)12