Package org.apache.flink.api.java.record.operators

Examples of org.apache.flink.api.java.record.operators.JoinOperator

81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
        .input(countJoiner).name("Project out Counts").build();

    ReduceOperator buildTriads = ReduceOperator.builder(new BuildTriads(), IntValue.class, 0)
        .input(toLowerDegreeEdge).name("Build Triads").build();

    JoinOperator closeTriads = JoinOperator.builder(new CloseTriads(), IntValue.class, 1, 0)
        .keyField(IntValue.class, 2, 1)
        .input1(buildTriads).input2(projectOutCounts)
        .name("Close Triads").build();
    closeTriads.setParameter("INPUT_SHIP_STRATEGY", "SHIP_REPARTITION_HASH");
    closeTriads.setParameter("LOCAL_STRATEGY", "LOCAL_STRATEGY_HASH_BUILD_SECOND");

    FileDataSink triangles = new FileDataSink(new TriangleOutputFormat(), output, closeTriads, "Triangles");

    Plan p = new Plan(triangles, "Enumerate Triangles");
    p.setDefaultParallelism(numSubTasks);
View Full Code Here
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
    MapOperator mapSupplier = MapOperator.builder(SupplierMap.class)
      .name("proj.Partsupp")
      .build();

    /* Equijoin on partkey of part and partsupp: */
    JoinOperator partsJoin = JoinOperator.builder(PartJoin.class, IntValue.class, 0, 0)
      .name("partsJoin")
      .build();

    /* Equijoin on orderkey of orders and lineitem: */
    JoinOperator orderedPartsJoin =
      JoinOperator.builder(OrderedPartsJoin.class, IntValue.class, 0, 0)
      .name("orderedPartsJoin")
      .build();

    /* Equijoin on nationkey of supplier and nation: */
    JoinOperator suppliersJoin =
      JoinOperator.builder(SuppliersJoin.class, IntValue.class, 0, 0)
      .name("suppliersJoin")
      .build();

    /* Equijoin on (partkey,suppkey) of parts and orderedParts: */
    JoinOperator filteredPartsJoin =
      JoinOperator.builder(FilteredPartsJoin.class, IntPair.class, 0, 0)
      .name("filteredPartsJoin")
      .build();

    /* Equijoin on suppkey of filteredParts and suppliers: */
    JoinOperator partListJoin =
      JoinOperator.builder(PartListJoin.class, IntValue.class , 0, 0)
      .name("partlistJoin")
      .build();

    /* Aggregate sum(amount) by (nation,year): */
    ReduceOperator sumAmountAggregate =
      ReduceOperator.builder(AmountAggregate.class, StringIntPair.class, 0)
      .name("groupyBy")
      .build();

    /* Connect input filters: */
    filterPart.setInput(partInput);
    mapPartsupp.setInput(partSuppInput);
    mapOrder.setInput(ordersInput);
    mapLineItem.setInput(lineItemInput);
    mapSupplier.setInput(supplierInput);

    /* Connect equijoins: */
    partsJoin.setFirstInput(filterPart);
    partsJoin.setSecondInput(mapPartsupp);
    orderedPartsJoin.setFirstInput(mapOrder);
    orderedPartsJoin.setSecondInput(mapLineItem);
    suppliersJoin.setFirstInput(mapSupplier);
    suppliersJoin.setSecondInput(nationInput);
    filteredPartsJoin.setFirstInput(partsJoin);
    filteredPartsJoin.setSecondInput(orderedPartsJoin);
    partListJoin.setFirstInput(filteredPartsJoin);
    partListJoin.setSecondInput(suppliersJoin);

    /* Connect aggregate: */
    sumAmountAggregate.setInput(partListJoin);

    /* Connect sink: */
 
View Full Code Here
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
   
    ReduceOperator buildTriads = ReduceOperator.builder(new BuildTriads(), StringValue.class, 0)
      .name("Build Triads")
      .build();

    JoinOperator closeTriads = JoinOperator.builder(new CloseTriads(), StringValue.class, 1, 0)
      .keyField(StringValue.class, 2, 1)
      .name("Close Triads")
      .build();
    closeTriads.setParameter("INPUT_LEFT_SHIP_STRATEGY", "SHIP_REPARTITION_HASH");
    closeTriads.setParameter("INPUT_RIGHT_SHIP_STRATEGY", "SHIP_REPARTITION_HASH");
    closeTriads.setParameter("LOCAL_STRATEGY", "LOCAL_STRATEGY_HASH_BUILD_SECOND");

    FileDataSink triangles = new FileDataSink(new CsvOutputFormat(), output, "Output");
    CsvOutputFormat.configureRecordFormat(triangles)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(StringValue.class, 0)
      .field(StringValue.class, 1)
      .field(StringValue.class, 2);

    triangles.setInput(closeTriads);
    closeTriads.setSecondInput(edges);
    closeTriads.setFirstInput(buildTriads);
    buildTriads.setInput(edges);

    Plan plan = new Plan(triangles, "Enumerate Triangles");
    plan.setDefaultParallelism(numSubTasks);
    return plan;
View Full Code Here
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
    } else {
      pathsInput = new FileDataSource(new PathInFormat(), paths, "Paths");
    }
    pathsInput.setDegreeOfParallelism(numSubTasks);

    JoinOperator concatPaths =
        JoinOperator.builder(new ConcatPaths(), StringValue.class, 0, 1)
      .name("Concat Paths")
      .build();

    concatPaths.setDegreeOfParallelism(numSubTasks);

    CoGroupOperator findShortestPaths =
        CoGroupOperator.builder(new FindShortestPath(), StringValue.class, 0, 0)
      .keyField(StringValue.class, 1, 1)
      .name("Find Shortest Paths")
      .build();
    findShortestPaths.setDegreeOfParallelism(numSubTasks);

    FileDataSink result = new FileDataSink(new PathOutFormat(),output, "New Paths");
    result.setDegreeOfParallelism(numSubTasks);

    result.setInput(findShortestPaths);
    findShortestPaths.setFirstInput(pathsInput);
    findShortestPaths.setSecondInput(concatPaths);
    concatPaths.setFirstInput(pathsInput);
    concatPaths.setSecondInput(pathsInput);

    return new Plan(result, "Pairwise Shortest Paths");

  }
View Full Code Here
96
97
98
99
100
101
102
103
104
105
106
      .name("AggLines")
      .build();
    aggInput2.setDegreeOfParallelism(numSubtasksInput2);
   
    // create JoinOperator for joining Orders and LineItems
    JoinOperator joinLiO = JoinOperator.builder(JoinInputs.class, IntValue.class, 0, 0)
      .input1(aggInput1)
      .input2(aggInput2)
      .name("JoinLiO")
      .build();
View Full Code Here
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
    DeltaIteration iteration = new DeltaIteration(0, "Delta PageRank");
    iteration.setInitialSolutionSet(initialSolutionSet);
    iteration.setInitialWorkset(initialDeltaSet);
    iteration.setMaximumNumberOfIterations(maxIterations);
   
    JoinOperator dependenciesMatch = JoinOperator.builder(PRDependenciesComputationMatchDelta.class,
        LongValue.class, 0, 0)
        .input1(iteration.getWorkset())
        .input2(dependencySet)
        .name("calculate dependencies")
        .build();
   
    ReduceOperator updateRanks = ReduceOperator.builder(UpdateRankReduceDelta.class, LongValue.class, 0)
        .input(dependenciesMatch)
        .name("update ranks")
        .build();
   
    JoinOperator oldRankComparison = JoinOperator.builder(RankComparisonMatch.class, LongValue.class, 0, 0)
        .input1(updateRanks)
        .input2(iteration.getSolutionSet())
        .name("comparison with old ranks")
        .build();
View Full Code Here
117
118
119
120
121
122
123
124
125
126
127
    // filter configuration
    filterO2.setParameter(TPCHQuery3.YEAR_FILTER, 1993);
    filterO2.setParameter(TPCHQuery3.PRIO_FILTER, "5");

    // create JoinOperator for joining Orders and LineItems
    @SuppressWarnings("unchecked")
    JoinOperator joinLiO = JoinOperator.builder(new JoinLiO(), LongValue.class, 0, 0)
      .input1(filterO2, filterO1)
      .input2(lineitems)
      .name("JoinLiO")
      .build();
View Full Code Here
70
71
72
73
74
75
76
77
78
79
80
    iteration.setInput(pageWithRankInput);
   
    FileDataSource adjacencyListInput = new FileDataSource(new ImprovedAdjacencyListInputFormat(),
      adjacencyListInputPath, "AdjancencyListInput");
   
    JoinOperator join = JoinOperator.builder(new DotProductMatch(), LongValue.class, 0, 0)
        .input1(iteration.getPartialSolution())
        .input2(adjacencyListInput)
        .name("Join with Edges")
        .build();
   
View Full Code Here
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
    MapOperator projectN = MapOperator.builder(ProjectN.class)
      .name("ProjectN")
      .build();

    JoinOperator joinOL = JoinOperator.builder(JoinOL.class, IntValue.class, 0, 0)
      .name("JoinOL")
      .build();

    JoinOperator joinCOL = JoinOperator.builder(JoinCOL.class, IntValue.class, 0, 0)
      .name("JoinCOL")
      .build();

    JoinOperator joinNCOL = JoinOperator.builder(JoinNCOL.class, IntValue.class, 4, 0)
      .name("JoinNCOL")
      .build();

    ReduceOperator reduce = ReduceOperator.builder(Sum.class)
      .keyField(IntValue.class, 0)
      .keyField(StringValue.class, 1)
      .keyField(StringValue.class, 3)
      .keyField(StringValue.class, 4)
      .keyField(StringValue.class, 5)
      .keyField(StringValue.class, 6)
      .keyField(StringValue.class, 7)
      .name("Reduce")
      .build();

    FileDataSink result = new FileDataSink(new TupleOutputFormat(), resultPath, "Output");

    result.setInput(reduce);
   
    reduce.setInput(joinNCOL);
   
    joinNCOL.setFirstInput(joinCOL);
    joinNCOL.setSecondInput(projectN);
   
    joinCOL.setFirstInput(projectC);
    joinCOL.setSecondInput(joinOL);
   
    joinOL.setFirstInput(mapO);
View Full Code Here
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
    iteration.setInput(pageWithRankInput);
   
    FileDataSource adjacencyListInput = new FileDataSource(new ImprovedAdjacencyListInputFormat(),
      adjacencyListInputPath, "AdjancencyListInput");
   
    JoinOperator join = JoinOperator.builder(new JoinVerexWithEdgesMatch(), LongValue.class, 0, 0)
        .input1(iteration.getPartialSolution())
        .input2(adjacencyListInput)
        .name("Join with Edges")
        .build();
   
    ReduceOperator rankAggregation = ReduceOperator.builder(new AggregatingReduce(), LongValue.class, 0)
        .input(join)
        .name("Rank Aggregation")
        .build();
   
    iteration.setNextPartialSolution(rankAggregation);
    iteration.setMaximumNumberOfIterations(numIterations);
   
    JoinOperator termination = JoinOperator.builder(new JoinOldAndNew(), LongValue.class, 0, 0)
        .input1(iteration.getPartialSolution())
        .input2(rankAggregation)
        .name("Join Old and New")
        .build();
   
View Full Code Here
TOP

Related Classes of org.apache.flink.api.java.record.operators.JoinOperator

  • org.apache.flink.compiler.BranchingPlansCompilerTest
  • org.apache.flink.compiler.DOPChangeTest
  • org.apache.flink.compiler.WorksetIterationsRecordApiCompilerTest
  • org.apache.flink.test.broadcastvars.BroadcastBranchingITCase
  • org.apache.flink.test.cancelling.MatchJoinCancelingITCase
  • org.apache.flink.test.compiler.examples.RelationalQueryCompilerTest
  • org.apache.flink.test.compiler.iterations.ConnectedComponentsTest
  • org.apache.flink.test.iterative.CoGroupConnectedComponentsITCase
  • org.apache.flink.test.iterative.ConnectedComponentsWithDeferredUpdateITCase
  • org.apache.flink.test.iterative.ConnectedComponentsWithSolutionSetFirstITCase
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.