本文整理汇总了Java中org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation.SingleValue方法的典型用法代码示例。如果您正苦于以下问题:Java NumericMetricsAggregation.SingleValue方法的具体用法?Java NumericMetricsAggregation.SingleValue怎么用?Java NumericMetricsAggregation.SingleValue使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation
的用法示例。
在下文中一共展示了NumericMetricsAggregation.SingleValue方法的7个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testInBuckets
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
public void testInBuckets() throws Exception {
SearchResponse searchResponse = client().prepareSearch("idx_hll")
.setQuery(matchAllQuery())
.addAggregation(AggregationBuilders.terms("tag")
.field("tag")
.subAggregation(new HyperUniqueSumAggregationBuilder("hyperlog").field("hll")))
.execute().actionGet();
assertThat(searchResponse.getHits().getTotalHits(), equalTo(2L));
StringTerms stringTerms = searchResponse.getAggregations().get("tag");
assertThat(stringTerms.getBuckets().size(), equalTo(2));
NumericMetricsAggregation.SingleValue numericMetricsAggregation = stringTerms.getBucketByKey("crazy").getAggregations().get("hyperlog");
assertThat(numericMetricsAggregation.value(), equalTo(100.0));
numericMetricsAggregation = stringTerms.getBucketByKey("mayBeCrazy").getAggregations().get("hyperlog");
assertThat(numericMetricsAggregation.value(), equalTo(110.0));
}
开发者ID:bazaarvoice,项目名称:elasticsearch-hyperloglog,代码行数:19,代码来源:HyperLogLogPlusAggregationPluginTests.java
示例2: testEmptyAggregation
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
public void testEmptyAggregation() throws Exception {
SearchResponse searchResponse = client().prepareSearch("idx_no_hll")
.setQuery(matchAllQuery())
.addAggregation(new HyperUniqueSumAggregationBuilder("hyperlog").field("hll"))
.execute().actionGet();
assertThat(searchResponse.getHits().getTotalHits(), equalTo(2L));
NumericMetricsAggregation.SingleValue numericMetricsAggregation = searchResponse.getAggregations().get("hyperlog");
assertThat(numericMetricsAggregation, notNullValue());
assertEquals("expected 0.0 ", "0.0", numericMetricsAggregation.getValueAsString());
}
开发者ID:bazaarvoice,项目名称:elasticsearch-hyperloglog,代码行数:14,代码来源:HyperLogLogPlusAggregationPluginTests.java
示例3: testUniqueSum1
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
public void testUniqueSum1() throws Exception {
SearchResponse searchResponse = client().prepareSearch("idx_hll")
.setQuery(matchAllQuery())
.addAggregation(new HyperUniqueSumAggregationBuilder("hyperlog").field("hll"))
.execute().actionGet();
assertThat(searchResponse.getHits().getTotalHits(), equalTo(2L));
NumericMetricsAggregation.SingleValue numericMetricsAggregation = searchResponse.getAggregations().get("hyperlog");
assertThat(numericMetricsAggregation, notNullValue());
assertThat(numericMetricsAggregation.value(), equalTo(110.0));
}
开发者ID:bazaarvoice,项目名称:elasticsearch-hyperloglog,代码行数:14,代码来源:HyperLogLogPlusAggregationPluginTests.java
示例4: testUniqueSum2
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
public void testUniqueSum2() throws Exception {
SearchResponse searchResponse = client().prepareSearch("idx_hll")
.setQuery(termQuery("tag", "crazy"))
.addAggregation(new HyperUniqueSumAggregationBuilder("hyperlog").field("hll"))
.execute().actionGet();
assertThat(searchResponse.getHits().getTotalHits(), equalTo(1L));
NumericMetricsAggregation.SingleValue numericMetricsAggregation = searchResponse.getAggregations().get("hyperlog");
assertThat(numericMetricsAggregation, notNullValue());
assertThat(numericMetricsAggregation.value(), equalTo(100.0));
}
开发者ID:bazaarvoice,项目名称:elasticsearch-hyperloglog,代码行数:14,代码来源:HyperLogLogPlusAggregationPluginTests.java
示例5: handleNumericMetricAggregation
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
private void handleNumericMetricAggregation(List<String> header, List<String> line, Aggregation aggregation) throws CsvExtractorException {
String name = aggregation.getName();
if(aggregation instanceof NumericMetricsAggregation.SingleValue){
if(!header.contains(name)){
header.add(name);
}
line.add(((NumericMetricsAggregation.SingleValue) aggregation).getValueAsString());
}
//todo:Numeric MultiValue - Stats,ExtendedStats,Percentile...
else if(aggregation instanceof NumericMetricsAggregation.MultiValue){
if(aggregation instanceof Stats) {
String[] statsHeaders = new String[]{"count", "sum", "avg", "min", "max"};
boolean isExtendedStats = aggregation instanceof ExtendedStats;
if(isExtendedStats){
String[] extendedHeaders = new String[]{"sumOfSquares", "variance", "stdDeviation"};
statsHeaders = Util.concatStringsArrays(statsHeaders,extendedHeaders);
}
mergeHeadersWithPrefix(header, name, statsHeaders);
Stats stats = (Stats) aggregation;
line.add(stats.getCountAsString());
line.add(stats.getSumAsString());
line.add(stats.getAvgAsString());
line.add(stats.getMinAsString());
line.add(stats.getMaxAsString());
if(isExtendedStats){
ExtendedStats extendedStats = (ExtendedStats) aggregation;
line.add(extendedStats.getSumOfSquaresAsString());
line.add(extendedStats.getVarianceAsString());
line.add(extendedStats.getStdDeviationAsString());
}
}
else if( aggregation instanceof Percentiles){
String[] percentileHeaders = new String[]{"1.0", "5.0", "25.0", "50.0", "75.0", "95.0", "99.0"};
mergeHeadersWithPrefix(header, name, percentileHeaders);
Percentiles percentiles = (Percentiles) aggregation;
line.add(percentiles.percentileAsString(1.0));
line.add(percentiles.percentileAsString(5.0));
line.add(percentiles.percentileAsString(25.0));
line.add(percentiles.percentileAsString(50.0));
line.add(percentiles.percentileAsString(75));
line.add(percentiles.percentileAsString(95.0));
line.add(percentiles.percentileAsString(99.0));
}
else {
throw new CsvExtractorException("unknown NumericMetricsAggregation.MultiValue:" + aggregation.getClass());
}
}
else {
throw new CsvExtractorException("unknown NumericMetricsAggregation" + aggregation.getClass());
}
}
示例6: handleNumericMetricAggregation
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
private void handleNumericMetricAggregation(List<String> header, List<Object> line, Aggregation aggregation) throws ObjectResultsExtractException {
String name = aggregation.getName();
if (aggregation instanceof NumericMetricsAggregation.SingleValue) {
if (!header.contains(name)) {
header.add(name);
}
line.add(((NumericMetricsAggregation.SingleValue) aggregation).value());
}
//todo:Numeric MultiValue - Stats,ExtendedStats,Percentile...
else if (aggregation instanceof NumericMetricsAggregation.MultiValue) {
if (aggregation instanceof Stats) {
String[] statsHeaders = new String[]{"count", "sum", "avg", "min", "max"};
boolean isExtendedStats = aggregation instanceof ExtendedStats;
if (isExtendedStats) {
String[] extendedHeaders = new String[]{"sumOfSquares", "variance", "stdDeviation"};
statsHeaders = Util.concatStringsArrays(statsHeaders, extendedHeaders);
}
mergeHeadersWithPrefix(header, name, statsHeaders);
Stats stats = (Stats) aggregation;
line.add(stats.getCount());
line.add(stats.getSum());
line.add(stats.getAvg());
line.add(stats.getMin());
line.add(stats.getMax());
if (isExtendedStats) {
ExtendedStats extendedStats = (ExtendedStats) aggregation;
line.add(extendedStats.getSumOfSquares());
line.add(extendedStats.getVariance());
line.add(extendedStats.getStdDeviation());
}
} else if (aggregation instanceof Percentiles) {
String[] percentileHeaders = new String[]{"1.0", "5.0", "25.0", "50.0", "75.0", "95.0", "99.0"};
mergeHeadersWithPrefix(header, name, percentileHeaders);
Percentiles percentiles = (Percentiles) aggregation;
line.add(percentiles.percentile(1.0));
line.add(percentiles.percentile(5.0));
line.add(percentiles.percentile(25.0));
line.add(percentiles.percentile(50.0));
line.add(percentiles.percentile(75));
line.add(percentiles.percentile(95.0));
line.add(percentiles.percentile(99.0));
} else {
throw new ObjectResultsExtractException("unknown NumericMetricsAggregation.MultiValue:" + aggregation.getClass());
}
} else {
throw new ObjectResultsExtractException("unknown NumericMetricsAggregation" + aggregation.getClass());
}
}
示例7: handleNumericMetricAggregation
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation; //导入方法依赖的package包/类
private void handleNumericMetricAggregation(List<String> header, List<String> line, Aggregation aggregation) throws CsvExtractorException {
String name = aggregation.getName();
if(aggregation instanceof NumericMetricsAggregation.SingleValue){
if(!header.contains(name)){
header.add(name);
}
NumericMetricsAggregation.SingleValue agg = (NumericMetricsAggregation.SingleValue) aggregation;
line.add(!Double.isInfinite(agg.value()) ? agg.getValueAsString() : "null");
}
//todo:Numeric MultiValue - Stats,ExtendedStats,Percentile...
else if(aggregation instanceof NumericMetricsAggregation.MultiValue){
if(aggregation instanceof Stats) {
String[] statsHeaders = new String[]{"count", "sum", "avg", "min", "max"};
boolean isExtendedStats = aggregation instanceof ExtendedStats;
if(isExtendedStats){
String[] extendedHeaders = new String[]{"sumOfSquares", "variance", "stdDeviation"};
statsHeaders = Util.concatStringsArrays(statsHeaders,extendedHeaders);
}
mergeHeadersWithPrefix(header, name, statsHeaders);
Stats stats = (Stats) aggregation;
line.add(String.valueOf(stats.getCount()));
line.add(stats.getSumAsString());
line.add(stats.getAvgAsString());
line.add(stats.getMinAsString());
line.add(stats.getMaxAsString());
if(isExtendedStats){
ExtendedStats extendedStats = (ExtendedStats) aggregation;
line.add(extendedStats.getSumOfSquaresAsString());
line.add(extendedStats.getVarianceAsString());
line.add(extendedStats.getStdDeviationAsString());
}
}
else if( aggregation instanceof Percentiles){
String[] percentileHeaders = new String[]{"1.0", "5.0", "25.0", "50.0", "75.0", "95.0", "99.0"};
mergeHeadersWithPrefix(header, name, percentileHeaders);
Percentiles percentiles = (Percentiles) aggregation;
line.add(percentiles.percentileAsString(1.0));
line.add(percentiles.percentileAsString(5.0));
line.add(percentiles.percentileAsString(25.0));
line.add(percentiles.percentileAsString(50.0));
line.add(percentiles.percentileAsString(75));
line.add(percentiles.percentileAsString(95.0));
line.add(percentiles.percentileAsString(99.0));
}
else {
throw new CsvExtractorException("unknown NumericMetricsAggregation.MultiValue:" + aggregation.getClass());
}
}
else {
throw new CsvExtractorException("unknown NumericMetricsAggregation" + aggregation.getClass());
}
}