List of explain() Examples

Examples of explain()

com.alibaba.daybits.DayBits.explain()
com.browseengine.bobo.api.BoboBrowser.explain()
com.browseengine.bobo.query.scoring.BoboDocScorer.explain()
com.mongodb.DBCursor.explain()
Returns an object containing basic information about the execution of the query that created this cursor This creates a DBObject with the key/value pairs: "cursor" : cursor type "nScanned" : number of records examined by the database for this query "n" : the number of records that the database returned "millis" : how long it took the database to execute the query @return a DBObject @dochub explain
com.salesforce.phoenix.iterate.ResultIterator.explain()
mondrian.spi.ProfileHandler.explain()
Called when a statement has finished executing. @param plan Annotated plan @param timing Query timings
net.sf.saxon.query.XQueryExpression.explain()
Diagnostic method: display a representation of the compiled query on the selected output stream. @param out an ExpressionPresenter to which the XML representation of the compiled querywill be sent
nux.xom.xquery.XQuery.explain()
Returns a description of the compiled and optimized expression tree; useful for advanced performance diagnostics only. @return a string description
org.apache.lucene.queries.function.FunctionValues.explain()
org.apache.lucene.search.IndexSearcher.explain()
Returns an Explanation that describes how doc scored against query.
This is intended to be used in developing Similarity implementations, and, for good performance, should not be displayed with every hit. Computing an explanation is as expensive as executing the query over the entire index.
org.apache.lucene.search.Rescorer.explain()
Explains how the score for the specified document was computed.
org.apache.lucene.search.Scorer.explain()
Returns an explanation of the score for a document.
When this method is used, the {@link #next()}, {@link #skipTo(int)} and{@link #score(HitCollector)} methods should not be used. @param doc The document number for the explanation. @deprecated Please use {@link IndexSearcher#explain}or {@link Weight#explain} instead.
org.apache.lucene.search.Searcher.explain()
Returns an Explanation that describes how doc scored against query.
This is intended to be used in developing Similarity implementations, and, for good performance, should not be displayed with every hit. Computing an explanation is as expensive as executing the query over the entire index.
org.apache.lucene.search.Weight.explain()
An explanation of the score computation for the named document. @param context the readers context to create the {@link Explanation} for. @param doc the document's id relative to the given context's reader @return an Explanation for the score @throws IOException if an {@link IOException} occurs
org.apache.lucene.search.similarities.Similarity.ExactSimScorer.explain()
org.apache.lucene.search.similarities.Similarity.SimScorer.explain()
org.apache.lucene.search.similarities.Similarity.SloppySimScorer.explain()
org.apache.phoenix.iterate.ResultIterator.explain()
org.apache.pig.PigServer.explain()
Provide information on how a pig query will be executed. For now this information is very developer focussed, and probably not very useful to the average user. @param alias Name of alias to explain. @param stream PrintStream to write explanation to. @throws IOException if the requested alias cannot be found.
org.apache.pig.backend.executionengine.ExecPhysicalPlan.explain()
To provide an "explanation" about how the physical plan has been constructed
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher.explain()
org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan.explain()
Write a visual representation of the Physical Plan into the given output stream @param out : OutputStream to which the visual representation is written
org.apache.pig.impl.logicalLayer.LogicalPlan.explain()
org.apache.pig.newplan.logical.expression.LogicalExpressionPlan.explain()
org.apache.pig.newplan.logical.relational.LogicalPlan.explain()
org.elasticsearch.action.admin.cluster.reroute.ClusterRerouteRequest.explain()
Sets the explain flag, which will collect information about the reroute request without executing the actions. Similar to dryRun, but human-readable.
org.elasticsearch.action.admin.indices.validate.query.ValidateQueryRequest.explain()
Indicate if detailed information about query is requested
org.elasticsearch.search.builder.SearchSourceBuilder.explain()
Should each {@link org.elasticsearch.search.SearchHit} be returned with anexplanation of the hit (ranking).
org.elasticsearch.search.internal.ContextIndexSearcher.explain()
org.elasticsearch.search.rescore.Rescorer.explain()
Executes an {@link Explanation} phase on the rescorer. @param topLevelDocId the global / top-level document ID to explain @param context the explanation for the results being fed to this rescorer @param rescoreContext context for this rescorer @param sourceExplanation explanation of the source of the documents being fed into this rescore @return the explain for the given top level document ID. @throws IOException if an {@link IOException} occurs
org.epic.perleditor.views.ExplainErrorsView.explain()
org.hibernate.search.FullTextQuery.explain()
Return the Lucene {@link org.apache.lucene.search.Explanation}object describing the score computation for the matching object/document in the current query @param documentId Lucene Document id to be explain. This is NOT the object id @return Lucene Explanation
org.infinispan.query.CacheQuery.explain()
Return the Lucene {@link org.apache.lucene.search.Explanation}object describing the score computation for the matching object/document in the current query @param documentId Lucene Document id to be explain. This is NOT the object key @return Lucene Explanation
org.jzkit.search.SearchSessionFactory.explain()
org.voltdb.expressions.AbstractExpression.explain()
solver.explanations.ExplanationEngine.explain()
Provides an explanation for the removal of value val from variable var ; the implementation is recording policy dependent for a flattened policy, the database is checked (automatically flattening explanations) for a non flattened policy, only the value removal is returned @param var an integer variable @param val an integer value @return a deduction
solver.variables.Variable.explain()
returns an explanation of the current state of the Variable @param what specifies what we are interested in @param to explanation to feed

Examples of org.apache.lucene.search.similarities.Similarity.SimScorer.explain()

        if (newDoc == doc) {
          float freq = scorer.freq();
          SimScorer docScorer = similarity.simScorer(stats, context);
          ComplexExplanation result = new ComplexExplanation();
          result.setDescription("weight("+getQuery()+" in "+doc+") [" + similarity.getClass().getSimpleName() + "], result of:");
          Explanation scoreExplanation = docScorer.explain(doc, new Explanation(freq, "termFreq=" + freq));
          result.addDetail(scoreExplanation);
          result.setValue(scoreExplanation.getValue());
          result.setMatch(true);
          return result;
        }

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Examples of org.apache.lucene.search.similarities.Similarity.SloppySimScorer.explain()

          result.setDescription("weight("+this.getQuery()+" in "+doc+") [" + similarity.getClass().getSimpleName() + "], result of:");
          while (scorer.nextNode()) {
            final ComplexExplanation nodeMatch = new ComplexExplanation();
            nodeMatch.setDescription("in "+scorer.node()+"), result of:");
            final float freq = scorer.freqInNode();
            final Explanation scoreExplanation = docScorer.explain(doc, new Explanation(freq, "phraseFreq=" + freq));
            nodeMatch.setValue(scoreExplanation.getValue());
            nodeMatch.setMatch(true);
            nodeMatch.addDetail(scoreExplanation);
            result.addDetail(nodeMatch);
          }

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Examples of org.apache.phoenix.iterate.ResultIterator.explain()

        
        // Optimize here when getting explain plan, as queries don't get optimized until after compilation
        QueryPlan plan = context.getConnection().getQueryServices().getOptimizer().optimize(context.getStatement(), this);
        ResultIterator iterator = plan.iterator();
        List<String> planSteps = Lists.newArrayListWithExpectedSize(5);
        iterator.explain(planSteps);
        return new ExplainPlan(planSteps);
    }
}

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Examples of org.apache.pig.PigServer.explain()

        pig.registerQuery("a = load 'a.txt' ;");
        pig.registerQuery("b = load 'b.txt';");
        pig.registerQuery("c = union a, b;");
        pig.registerQuery("d = load 'c.txt' ;");
        pig.registerQuery("e = cogroup c by $0 inner, d by $0 inner;");
        pig.explain("e", System.err);
        // output should be 
        // (1,{(1,2,3),(1,200,300)},{(1,20,30)})
        Tuple expectedResult = new DefaultTuple();
        expectedResult.append(new DataByteArray("1"));
        Tuple[] secondFieldContents = new DefaultTuple[2];

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Examples of org.apache.pig.PigServer.explain()

            +       ", t : tuple (tc1 : int, tc2 : chararray) );"
            + "l3 = load '" + INP_FILE_EMPTY + "' as (i : int, x : long);"
            + "u = union onschema l1, l2, l3;"
        ; 
        Util.registerMultiLineQuery(pig, query);
        pig.explain("u", System.out);


        Iterator<Tuple> it = pig.openIterator("u");
        
        List<Tuple> expectedRes = 
            Util.getTuplesFromConstantTupleStrings(

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Examples of org.apache.pig.PigServer.explain()

            + "  (i : long, c : chararray, j : int " 
            +       ", b : bag { t : tuple (c1 : int, c2 : chararray)} ); "
            + "u = union onschema l1, l2, l3;"
        ; 
        Util.registerMultiLineQuery(pig, query);
        pig.explain("u", System.out);


        Iterator<Tuple> it = pig.openIterator("u");
        
        List<Tuple> expectedRes = 
            Util.getTuplesFromConstantTupleStrings(

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Examples of org.apache.pig.PigServer.explain()

            + "  (i : long, c : chararray, j : int " 
            +       ", b : bag { t : tuple (c1 : int, c2 : chararray)} ); "
            + "u = union onSchema l1, l2;"
        ; 
        Util.registerMultiLineQuery(pig, query);
        pig.explain("u", System.out);


        Iterator<Tuple> it = pig.openIterator("u");
        
        List<Tuple> expectedRes = 
            Util.getTuplesFromConstantTupleStrings(

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Examples of org.apache.pig.PigServer.explain()

        pigServer.registerQuery("c = foreach b generate COUNT(a), SUM(a.$0), MIN(a.$0), MAX(a.$0), AVG(a.$0);");


        // make sure there is a combine plan in the explain output
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        PrintStream ps = new PrintStream(baos);
        pigServer.explain("c", ps);
        assertTrue(baos.toString().matches("(?si).*combine plan.*"));


        Iterator<Tuple> it = pigServer.openIterator("c");
        Tuple t = it.next();
        assertEquals(512000L, t.get(0));

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Examples of org.apache.pig.PigServer.explain()

            "                       SUM(a.gpa), COUNT(z.age), COUNT(z), SUM(z.age);};");
        
        // make sure there is a combine plan in the explain output
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        PrintStream ps = new PrintStream(baos);
        pigServer.explain("c", ps);
        assertTrue(baos.toString().matches("(?si).*combine plan.*"));


        HashMap<String, Object[]> results = new HashMap<String, Object[]>();
        results.put("pig1", new Object[] {"pig1",3L,57L,5.2,75L,9.4,3L,3L,57L});
        results.put("pig2", new Object[] {"pig2",1L,24L,7.8,48L,7.8,2L,2L,48L});

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Examples of org.apache.pig.PigServer.explain()

                "        generate group, z, SUM(a.age), SUM(a.gpa);};");
        
        // make sure there is a combine plan in the explain output
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        PrintStream ps = new PrintStream(baos);
        pigServer.explain("c", ps);
        assertFalse(baos.toString().matches("(?si).*combine plan.*"));


        HashMap<String, Object[]> results = new HashMap<String, Object[]>();
        results.put("pig1", new Object[] {"pig1","bag-place-holder",75L,9.4});
        results.put("pig2", new Object[] {"pig2","bag-place-holder",48L,7.8});

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