use of edu.uci.ics.textdb.exp.join.JoinDistancePredicate in project textdb by TextDB.
the class JoinDistanceTest method testWhenOpenOrCloseIsCalledTwiceAndTryToGetNextTupleWhenClosed.
// ------------------------<Test cases for cursor.>------------------------
/*
* This case tests for the scenario when open and/or close is called twice
* and also when getNextTuple() is called when operator is closed.
* Test result: Opening or closing the operator twice shouldn't result in
* any noticeable difference in operation. But, calling getNetTuple() when
* operator is closed should throw an exception.
*/
@Test(expected = DataFlowException.class)
public void testWhenOpenOrCloseIsCalledTwiceAndTryToGetNextTupleWhenClosed() throws Exception {
List<Tuple> tuples = JoinTestConstants.bookGroup1.subList(1, 5);
JoinTestHelper.insertToTable(BOOK_TABLE, tuples);
KeywordMatcherSourceOperator keywordSourceOuter = JoinTestHelper.getKeywordSource(BOOK_TABLE, "typical", conjunction);
KeywordMatcherSourceOperator keywordSourceInner = JoinTestHelper.getKeywordSource(BOOK_TABLE, "actually", conjunction);
JoinDistancePredicate distancePredicate = new JoinDistancePredicate(JoinTestConstants.REVIEW, 90);
Join join = new Join(distancePredicate);
join.setOuterInputOperator(keywordSourceOuter);
join.setInnerInputOperator(keywordSourceInner);
Tuple tuple;
List<Tuple> resultList = new ArrayList<>();
join.open();
join.open();
while ((tuple = join.getNextTuple()) != null) {
resultList.add(tuple);
}
join.close();
join.close();
Assert.assertEquals(4, resultList.size());
// this line should throw an exception because operator is already closed
if ((tuple = join.getNextTuple()) != null) {
resultList.add(tuple);
}
}
use of edu.uci.ics.textdb.exp.join.JoinDistancePredicate in project textdb by TextDB.
the class JoinDistanceTest method testOneOfTheOperatorResultIsEmpty.
// This case tests for the scenario when either/both of the operators'
// result lists are empty (i.e. when one/both of the operators' are
// not able to find any suitable matches)
// Test result: Join should return an empty list.
@Test
public void testOneOfTheOperatorResultIsEmpty() throws Exception {
JoinTestHelper.insertToTable(BOOK_TABLE, JoinTestConstants.bookGroup1.get(0));
KeywordMatcherSourceOperator keywordSourceOuter = JoinTestHelper.getKeywordSource(BOOK_TABLE, "special", conjunction);
KeywordMatcherSourceOperator keywordSourceInner = JoinTestHelper.getKeywordSource(BOOK_TABLE, "book", conjunction);
List<Tuple> resultList = JoinTestHelper.getJoinDistanceResults(keywordSourceInner, keywordSourceOuter, new JoinDistancePredicate(JoinTestConstants.REVIEW, 20), Integer.MAX_VALUE, 0);
Assert.assertEquals(0, resultList.size());
}
use of edu.uci.ics.textdb.exp.join.JoinDistancePredicate in project textdb by TextDB.
the class JoinDistanceTest method testBothTheSpansAreSame.
// This case tests for the scenario when the spans to be joined are the same, i.e. both the keywords
// are same.
// e.g.
// [<11, 18>]
// [<11, 18>]
// threshold = 20 (can be any non-negative number)
// [ ]
// [ ]
// Test result: Join should return same span and key and the value in span
// should be the same.
// [<11, 18>]
@Test
public void testBothTheSpansAreSame() throws Exception {
JoinTestHelper.insertToTable(BOOK_TABLE, JoinTestConstants.bookGroup1.get(0));
KeywordMatcherSourceOperator keywordSourceOuter = JoinTestHelper.getKeywordSource(BOOK_TABLE, "special", conjunction);
KeywordMatcherSourceOperator keywordSourceInner = JoinTestHelper.getKeywordSource(BOOK_TABLE, "special", conjunction);
List<Tuple> resultList = JoinTestHelper.getJoinDistanceResults(keywordSourceInner, keywordSourceOuter, new JoinDistancePredicate(JoinTestConstants.REVIEW, 20), Integer.MAX_VALUE, 0);
Schema resultSchema = Utils.createSpanSchema(JoinTestConstants.BOOK_SCHEMA);
List<Span> spanList = new ArrayList<>();
Span span1 = new Span(JoinTestConstants.REVIEW, 11, 18, "special_special", "special");
spanList.add(span1);
IField[] book1 = { new IntegerField(52), new StringField("Mary Roach"), new StringField("Grunt: The Curious Science of Humans at War"), new IntegerField(288), new TextField("It takes a special kind " + "of writer to make topics ranging from death to our " + "gastrointestinal tract interesting (sometimes " + "hilariously so), and pop science writer Mary Roach is " + "always up to the task."), new ListField<>(spanList) };
Tuple expectedTuple = new Tuple(resultSchema, book1);
List<Tuple> expectedResult = new ArrayList<>();
expectedResult.add(expectedTuple);
Assert.assertEquals(1, resultList.size());
Assert.assertTrue(TestUtils.equals(expectedResult, resultList));
}
use of edu.uci.ics.textdb.exp.join.JoinDistancePredicate in project textdb by TextDB.
the class JoinDistanceTest method testForLimitWhenLimitIsLesserThanActualNumberOfResultsAndHasOffset.
/*
* This case tests for the scenario when limit is some integer greater than
* 0 and less than the actual number of results and offset is some integer
* greater than 0 and less than actual number of results and join is
* performed.
* Test result: A list of tuples with number of tuples equal to limit
* starting from the set offset.
*/
@Test
public void testForLimitWhenLimitIsLesserThanActualNumberOfResultsAndHasOffset() throws Exception {
List<Tuple> tuples = JoinTestConstants.bookGroup1.subList(1, 5);
JoinTestHelper.insertToTable(BOOK_TABLE, tuples);
KeywordMatcherSourceOperator keywordSourceOuter = JoinTestHelper.getKeywordSource(BOOK_TABLE, "typical", conjunction);
KeywordMatcherSourceOperator keywordSourceInner = JoinTestHelper.getKeywordSource(BOOK_TABLE, "actually", conjunction);
List<Tuple> resultList = JoinTestHelper.getJoinDistanceResults(keywordSourceInner, keywordSourceOuter, new JoinDistancePredicate(JoinTestConstants.REVIEW, 90), 1, 2);
Schema resultSchema = Utils.createSpanSchema(JoinTestConstants.BOOK_SCHEMA);
List<Span> spanList = new ArrayList<>();
Span span1 = new Span(JoinTestConstants.REVIEW, 28, 119, "typical_actually", "typical review. " + "This is a test. A book review test. " + "A test to test queries without actually");
spanList.add(span1);
Span span2 = new Span(JoinTestConstants.REVIEW, 186, 234, "typical_actually", "actually a review " + "even if it is not your typical");
spanList.add(span2);
IField[] book1 = { new IntegerField(54), new StringField("Andria Williams"), new StringField("The Longest Night: A Novel"), new IntegerField(400), new TextField("Review of a Book. This is a typical " + "review. This is a test. A book review " + "test. A test to test queries without " + "actually using actual review. From " + "here onwards, we can pretend this to " + "be actually a review even if it is not " + "your typical book review."), new ListField<>(spanList) };
Tuple expectedTuple1 = new Tuple(resultSchema, book1);
List<Tuple> expectedResult = new ArrayList<>(1);
expectedResult.add(expectedTuple1);
Assert.assertEquals(1, resultList.size());
Assert.assertTrue(TestUtils.equals(expectedResult, resultList));
}
use of edu.uci.ics.textdb.exp.join.JoinDistancePredicate 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.getAttributeType() != AttributeType.TEXT).map(Attribute::getAttributeName).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);
}
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