Examples with ProjectionOperator edu.uci.ics.texera.dataflow.projection.ProjectionOperator used on opensource projects

Example 1 with ProjectionOperator

use of edu.uci.ics.texera.dataflow.projection.ProjectionOperator in project textdb by TextDB.

the class OneToNBroadcastConnectorTest method testTwoOutputsWithProjection.

/*
     * This test connects Connector with Projection
     */
@Test
public void testTwoOutputsWithProjection() throws TexeraException {
    IOperator sourceOperator = new ScanBasedSourceOperator(new ScanSourcePredicate(PEOPLE_TABLE));
    List<String> projectionFields = Arrays.asList(TestConstants.DESCRIPTION);
    Schema projectionSchema = new Schema(TestConstants.DESCRIPTION_ATTR);
    IField[] fields1 = { new TextField("Tall Angry") };
    IField[] fields2 = { new TextField("Short Brown") };
    IField[] fields3 = { new TextField("White Angry") };
    IField[] fields4 = { new TextField("Lin Clooney is Short and lin clooney is Angry") };
    IField[] fields5 = { new TextField("Tall Fair") };
    IField[] fields6 = { new TextField("Short angry") };
    Tuple tuple1 = new Tuple(projectionSchema, fields1);
    Tuple tuple2 = new Tuple(projectionSchema, fields2);
    Tuple tuple3 = new Tuple(projectionSchema, fields3);
    Tuple tuple4 = new Tuple(projectionSchema, fields4);
    Tuple tuple5 = new Tuple(projectionSchema, fields5);
    Tuple tuple6 = new Tuple(projectionSchema, fields6);
    List<Tuple> expectedResults = Arrays.asList(tuple1, tuple2, tuple3, tuple4, tuple5, tuple6);
    ProjectionPredicate projectionPredicate = new ProjectionPredicate(projectionFields);
    ProjectionOperator projection1 = new ProjectionOperator(projectionPredicate);
    ProjectionOperator projection2 = new ProjectionOperator(projectionPredicate);
    OneToNBroadcastConnector connector = new OneToNBroadcastConnector(2);
    connector.setInputOperator(sourceOperator);
    projection1.setInputOperator(connector.getOutputOperator(0));
    projection2.setInputOperator(connector.getOutputOperator(1));
    projection1.open();
    List<Tuple> projection1Results = new ArrayList<>();
    Tuple nextTuple = null;
    while ((nextTuple = projection1.getNextTuple()) != null) {
        projection1Results.add(nextTuple);
    }
    projection1.close();
    projection2.open();
    List<Tuple> projection2Results = new ArrayList<>();
    nextTuple = null;
    while ((nextTuple = projection2.getNextTuple()) != null) {
        projection2Results.add(nextTuple);
    }
    projection2.close();
    Assert.assertTrue(TestUtils.equals(expectedResults, projection1Results));
    Assert.assertTrue(TestUtils.equals(expectedResults, projection2Results));
    Assert.assertTrue(TestUtils.equals(projection1Results, projection2Results));
}

Example 2 with ProjectionOperator

use of edu.uci.ics.texera.dataflow.projection.ProjectionOperator in project textdb by TextDB.

the class JoinDistanceTest method testOneOfTheOperatorResultContainsNoSpan.

// This case tests for the scenario when one of the operators result lists has no span.
// If one of the operators doesn't have span, then an exception will be thrown.
// Test result: DataflowException is thrown
@Test(expected = DataflowException.class)
public void testOneOfTheOperatorResultContainsNoSpan() throws Exception {
    JoinTestHelper.insertToTable(BOOK_TABLE, JoinTestConstants.bookGroup1.get(0));
    KeywordMatcherSourceOperator keywordSourceOuter = JoinTestHelper.getKeywordSource(BOOK_TABLE, "special", conjunction);
    String fuzzyTokenQuery = "this writer writes well";
    double thresholdRatio = 0.25;
    List<String> textAttributeNames = JoinTestConstants.BOOK_SCHEMA.getAttributes().stream().filter(attr -> attr.getType() != AttributeType.TEXT).map(Attribute::getName).collect(Collectors.toList());
    FuzzyTokenSourcePredicate fuzzySourcePredicateInner = new FuzzyTokenSourcePredicate(fuzzyTokenQuery, textAttributeNames, LuceneAnalyzerConstants.standardAnalyzerString(), thresholdRatio, BOOK_TABLE, SchemaConstants.SPAN_LIST);
    FuzzyTokenMatcherSourceOperator fuzzyMatcherInner = new FuzzyTokenMatcherSourceOperator(fuzzySourcePredicateInner);
    ProjectionPredicate removeSpanListPredicate = new ProjectionPredicate(JoinTestConstants.BOOK_SCHEMA.getAttributeNames());
    ProjectionOperator removeSpanListProjection = new ProjectionOperator(removeSpanListPredicate);
    removeSpanListProjection.setInputOperator(fuzzyMatcherInner);
    JoinTestHelper.getJoinDistanceResults(keywordSourceOuter, removeSpanListProjection, new JoinDistancePredicate(JoinTestConstants.REVIEW, 20), Integer.MAX_VALUE, 0);
}