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#Java - Code Snippets for '#.Logs' - 9 code snippet(s) found

 Sample 1. Code Sample / Example / Snippet of org.apache.calcite.rel.logical.LogicalProject

    public RelNode convert(RelNode rel) {

final LogicalProject project = (LogicalProject) rel;

final RelTraitSet traitSet = project.getTraitSet().replace(out);

return new MongoProject(project.getCluster(), traitSet,

convert(project.getInput(), out), project.getProjects(),

project.getRowType());

}


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 Sample 2. Code Sample / Example / Snippet of org.apache.spark.ml.classification.LogisticRegressionModel

  public static void main(String[] args) {

SparkConf conf = new SparkConf().setAppName("JavaLogisticRegressionWithElasticNetExample");

JavaSparkContext jsc = new JavaSparkContext(conf);

SQLContext sqlContext = new SQLContext(jsc);



DataFrame training = sqlContext.read().format("libsvm")

.load("data/mllib/sample_libsvm_data.txt");



LogisticRegression lr = new LogisticRegression()

.setMaxIter(10)

.setRegParam(0.3)

.setElasticNetParam(0.8);



LogisticRegressionModel lrModel = lr.fit(training);



System.out.println("Coefficients: "

+ lrModel.coefficients() + " Intercept: " + lrModel.intercept());



jsc.stop();

}


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 Sample 3. Code Sample / Example / Snippet of org.apache.spark.ml.classification.LogisticRegression

  public static void main(String[] args) {

SparkConf conf = new SparkConf().setAppName("JavaLogisticRegressionWithElasticNetExample");

JavaSparkContext jsc = new JavaSparkContext(conf);

SQLContext sqlContext = new SQLContext(jsc);



DataFrame training = sqlContext.read().format("libsvm")

.load("data/mllib/sample_libsvm_data.txt");



LogisticRegression lr = new LogisticRegression()

.setMaxIter(10)

.setRegParam(0.3)

.setElasticNetParam(0.8);



LogisticRegressionModel lrModel = lr.fit(training);



System.out.println("Coefficients: "

+ lrModel.coefficients() + " Intercept: " + lrModel.intercept());



jsc.stop();

}


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 Sample 4. Code Sample / Example / Snippet of org.apache.spark.mllib.classification.LogisticRegressionModel

  public static void main(String[] args) {

SparkConf conf = new SparkConf().setAppName("JavaLogisticRegressionWithElasticNetExample");

JavaSparkContext jsc = new JavaSparkContext(conf);

SQLContext sqlContext = new SQLContext(jsc);



DataFrame training = sqlContext.read().format("libsvm")

.load("data/mllib/sample_libsvm_data.txt");



LogisticRegression lr = new LogisticRegression()

.setMaxIter(10)

.setRegParam(0.3)

.setElasticNetParam(0.8);



LogisticRegressionModel lrModel = lr.fit(training);



System.out.println("Coefficients: "

+ lrModel.coefficients() + " Intercept: " + lrModel.intercept());



jsc.stop();

}


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 Sample 5. Code Sample / Example / Snippet of org.apache.calcite.rel.logical.LogicalFilter

    public RelNode convert(RelNode rel) {

final LogicalFilter filter = (LogicalFilter) rel;

final RelTraitSet traitSet = filter.getTraitSet().replace(out);

return new MongoFilter(

rel.getCluster(),

traitSet,

convert(filter.getInput(), out),

filter.getCondition());

}


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 Sample 6. Code Sample / Example / Snippet of org.apache.calcite.rel.logical.LogicalAggregate

    public RelNode convert(RelNode rel) {

final LogicalAggregate agg = (LogicalAggregate) rel;

final RelTraitSet traitSet =

agg.getTraitSet().replace(out);

try {

return new MongoAggregate(

rel.getCluster(),

traitSet,

convert(agg.getInput(), traitSet.simplify()),

agg.indicator,

agg.getGroupSet(),

agg.getGroupSets(),

agg.getAggCallList());

} catch (InvalidRelException e) {

LOGGER.warn(e.toString());

return null;

}

}


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 Sample 7. Code Sample / Example / Snippet of org.apache.calcite.rel.logical.LogicalValues

    private MongoValuesRule(MongoConvention out) {

super(

LogicalValues.class,

Convention.NONE,

out,

"MongoValuesRule");

}



@Override public RelNode convert(RelNode rel) {

LogicalValues valuesRel = (LogicalValues) rel;

return new MongoValuesRel(

valuesRel.getCluster(),

valuesRel.getRowType(),

valuesRel.getTuples(),

valuesRel.getTraitSet().plus(out));

}


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 Sample 8. Code Sample / Example / Snippet of org.apache.calcite.rel.logical.LogicalCalc

    public RelNode convert(RelNode rel) {

final LogicalCalc calc = (LogicalCalc) rel;



if (RexMultisetUtil.containsMultiset(calc.getProgram())) {

return null;

}



return new MongoCalcRel(

rel.getCluster(),

rel.getTraitSet().replace(out),

convert(

calc.getChild(),

calc.getTraitSet().replace(out)),

calc.getProgram(),

Project.Flags.Boxed);

}


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 Sample 9. Code Sample / Example / Snippet of org.apache.ace.log.target.store.impl.LogStoreImpl

    public void testTimedWrite() throws Exception {

File storeFile = File.createTempFile("feedback", ".store");

storeFile.deleteOnExit();



final int recordCount = 10000;



final LogStoreImpl store = createLogStore();



long start = System.nanoTime();

for (int i = 0; i < recordCount; i++) {

store.put(Arrays.asList(new Event("1,2,3,4,5")));

}

long end = System.nanoTime();

System.out.printf("Writing %d records took %.3f ms.%n", recordCount, (end - start) / 1.0e6);

}


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