mirror of https://github.com/apache/lucene.git
SOLR-14476: Add percentiles and standard deviation aggregations to stats, facet and timeseries Streaming Expressions
This commit is contained in:
Joel Bernstein
parent
3b09d30e69
commit
16aad55369
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@ -799,7 +799,7 @@ class SolrTable extends AbstractQueryableTable implements TranslatableTable {
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String collection,
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String query,
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List<Pair<String, String>> metricPairs,
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List<Map.Entry<String, Class>> fields) {
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List<Map.Entry<String, Class>> fields) throws IOException {
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Map<String, Class> fmap = new HashMap();
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@ -1441,7 +1441,6 @@ public class TestSQLHandler extends SolrCloudTestCase {
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"stmt", "select count(*), sum(a_i), min(a_i), max(a_i), cast(avg(1.0 * a_i) as float), sum(a_f), " +
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"min(a_f), max(a_f), avg(a_f) from collection1 where a_s = 'blah'");
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tuples = getTuples(sParams, baseUrl);
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assert (tuples.size() == 1);
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@ -28,6 +28,8 @@ import org.apache.solr.client.solrj.io.stream.metrics.CountMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.MaxMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.MeanMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.MinMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.PercentileMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.StdMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.SumMetric;
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public class Lang {
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@ -103,6 +105,8 @@ public class Lang {
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.withFunctionName("max", MaxMetric.class)
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.withFunctionName("avg", MeanMetric.class)
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.withFunctionName("sum", SumMetric.class)
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.withFunctionName("per", PercentileMetric.class)
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.withFunctionName("std", StdMetric.class)
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.withFunctionName("count", CountMetric.class)
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// tuple manipulation operations
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@ -349,18 +349,24 @@ public class FacetStream extends TupleStream implements Expressible {
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private FieldComparator[] parseBucketSorts(String bucketSortString, Bucket[] buckets) throws IOException {
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String[] sorts = bucketSortString.split(",");
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String[] sorts = parseSorts(bucketSortString);
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FieldComparator[] comps = new FieldComparator[sorts.length];
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for(int i=0; i<sorts.length; i++) {
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String s = sorts[i];
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String[] spec = s.trim().split("\\s+"); //This should take into account spaces in the sort spec.
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String fieldName = null;
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String order = null;
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if(2 != spec.length){
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throw new IOException(String.format(Locale.ROOT,"invalid expression - bad bucketSort '%s'. Expected form 'field order'",bucketSortString));
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if(s.endsWith("asc") || s.endsWith("ASC")) {
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order = "asc";
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fieldName = s.substring(0, s.length()-3).trim().replace(" ", "");
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} else if(s.endsWith("desc") || s.endsWith("DESC")) {
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order = "desc";
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fieldName = s.substring(0, s.length()-4).trim().replace(" ", "");
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} else {
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throw new IOException(String.format(Locale.ROOT,"invalid expression - bad bucketSort '%s'.",bucketSortString));
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}
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String fieldName = spec[0].trim();
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String order = spec[1].trim();
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comps[i] = new FieldComparator(fieldName, order.equalsIgnoreCase("asc") ? ComparatorOrder.ASCENDING : ComparatorOrder.DESCENDING);
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}
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@ -368,6 +374,34 @@ public class FacetStream extends TupleStream implements Expressible {
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return comps;
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}
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private String[] parseSorts(String sortString) {
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List<String> sorts = new ArrayList();
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boolean inParam = false;
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StringBuilder buff = new StringBuilder();
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for(int i=0; i<sortString.length(); i++) {
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char c = sortString.charAt(i);
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if(c == '(') {
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inParam=true;
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buff.append(c);
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} else if (c == ')') {
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inParam = false;
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buff.append(c);
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} else if (c == ',' && !inParam) {
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sorts.add(buff.toString().trim());
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buff = new StringBuilder();
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} else {
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buff.append(c);
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}
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}
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if(buff.length() > 0) {
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sorts.add(buff.toString());
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}
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return sorts.toArray(new String[sorts.size()]);
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}
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private void init(String collection, SolrParams params, Bucket[] buckets, FieldComparator[] bucketSorts, Metric[] metrics, int rows, int offset, int bucketSizeLimit, boolean refine, String method, boolean serializeBucketSizeLimit, int overfetch, String zkHost) throws IOException {
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this.zkHost = zkHost;
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this.params = new ModifiableSolrParams(params);
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@ -568,7 +602,7 @@ public class FacetStream extends TupleStream implements Expressible {
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for(Metric metric: metrics) {
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String func = metric.getFunctionName();
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if(!func.equals("count")) {
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if(!func.equals("count") && !func.equals("per") && !func.equals("std")) {
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if (!json.contains(metric.getIdentifier())) {
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return false;
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}
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@ -680,19 +714,28 @@ public class FacetStream extends TupleStream implements Expressible {
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++level;
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boolean comma = false;
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for(Metric metric : _metrics) {
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//Only compute the metric if it's a leaf node or if the branch level sort equals is the metric
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String facetKey = "facet_"+metricCount;
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if(level == _buckets.length || fsort.equals(facetKey) ) {
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String identifier = metric.getIdentifier();
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if (!identifier.startsWith("count(")) {
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if (metricCount > 0) {
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if (comma) {
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buf.append(",");
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}
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if(level == _buckets.length || fsort.equals(facetKey) ) {
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comma = true;
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if (identifier.startsWith("per(")) {
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buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier.replaceFirst("per", "percentile")).append('"');
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} else if (identifier.startsWith("std(")) {
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buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier.replaceFirst("std", "stddev")).append('"');
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} else {
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buf.append('"').append(facetKey).append("\":\"").append(identifier).append('"');
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++metricCount;
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}
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}
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++metricCount;
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}
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}
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if(level < _buckets.length) {
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@ -17,7 +17,9 @@
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package org.apache.solr.client.solrj.io.stream;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Locale;
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@ -40,67 +42,75 @@ import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionNamedParamete
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import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionParameter;
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import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionValue;
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import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
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import org.apache.solr.client.solrj.io.stream.metrics.CountMetric;
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import org.apache.solr.client.solrj.io.stream.metrics.Metric;
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import org.apache.solr.client.solrj.request.QueryRequest;
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import org.apache.solr.common.SolrDocumentList;
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import org.apache.solr.common.params.ModifiableSolrParams;
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import org.apache.solr.common.params.SolrParams;
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import org.apache.solr.common.util.NamedList;
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/**
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* @since 6.0.0
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* @since 6.6.0
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*/
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public class StatsStream extends TupleStream implements Expressible {
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private static final long serialVersionUID = 1;
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private Metric[] metrics;
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private String zkHost;
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private Tuple tuple;
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private int index;
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private String zkHost;
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private SolrParams params;
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private String collection;
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private boolean done;
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private boolean doCount;
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private Map<String, Metric> metricMap;
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protected transient SolrClientCache cache;
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protected transient CloudSolrClient cloudSolrClient;
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protected StreamContext streamContext;
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private StreamContext context;
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public StatsStream(String zkHost,
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String collection,
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SolrParams params,
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Metric[] metrics) {
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init(zkHost, collection, params, metrics);
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}
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private void init(String zkHost, String collection, SolrParams params, Metric[] metrics) {
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this.zkHost = zkHost;
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this.params = params;
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this.metrics = metrics;
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this.collection = collection;
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metricMap = new HashMap();
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for(Metric metric : metrics) {
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metricMap.put(metric.getIdentifier(), metric);
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}
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Metric[] metrics
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) throws IOException {
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init(collection, params, metrics, zkHost);
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}
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public StatsStream(StreamExpression expression, StreamFactory factory) throws IOException{
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// grab all parameters out
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String collectionName = factory.getValueOperand(expression, 0);
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List<StreamExpressionNamedParameter> namedParams = factory.getNamedOperands(expression);
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List<StreamExpression> metricExpressions = factory.getExpressionOperandsRepresentingTypes(expression, Metric.class);
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StreamExpressionNamedParameter zkHostExpression = factory.getNamedOperand(expression, "zkHost");
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if(collectionName.indexOf('"') > -1) {
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collectionName = collectionName.replaceAll("\"", "").replaceAll(" ", "");
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}
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List<StreamExpressionNamedParameter> namedParams = factory.getNamedOperands(expression);
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StreamExpressionNamedParameter zkHostExpression = factory.getNamedOperand(expression, "zkHost");
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List<StreamExpression> metricExpressions = factory.getExpressionOperandsRepresentingTypes(expression, Expressible.class, Metric.class);
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// Collection Name
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if(null == collectionName){
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throw new IOException(String.format(Locale.ROOT,"invalid expression %s - collectionName expected as first operand",expression));
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}
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// Construct the metrics
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Metric[] metrics = null;
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if(metricExpressions.size() > 0) {
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metrics = new Metric[metricExpressions.size()];
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for(int idx = 0; idx < metricExpressions.size(); ++idx){
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metrics[idx] = factory.constructMetric(metricExpressions.get(idx));
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}
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} else {
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metrics = new Metric[1];
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metrics[0] = new CountMetric();
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}
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// pull out known named params
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ModifiableSolrParams params = new ModifiableSolrParams();
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for(StreamExpressionNamedParameter namedParam : namedParams){
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if(!namedParam.getName().equals("zkHost")){
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params.set(namedParam.getName(), namedParam.getParameter().toString().trim());
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params.add(namedParam.getName(), namedParam.getParameter().toString().trim());
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}
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}
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@ -115,51 +125,55 @@ public class StatsStream extends TupleStream implements Expressible {
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if(zkHost == null) {
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zkHost = factory.getDefaultZkHost();
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}
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}
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else if(zkHostExpression.getParameter() instanceof StreamExpressionValue){
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} else if(zkHostExpression.getParameter() instanceof StreamExpressionValue){
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zkHost = ((StreamExpressionValue)zkHostExpression.getParameter()).getValue();
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}
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/*
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if(null == zkHost){
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throw new IOException(String.format(Locale.ROOT,"invalid expression %s - zkHost not found for collection '%s'",expression,collectionName));
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}
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*/
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// metrics, optional - if not provided then why are you using this?
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Metric[] metrics = new Metric[metricExpressions.size()];
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for(int idx = 0; idx < metricExpressions.size(); ++idx){
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metrics[idx] = factory.constructMetric(metricExpressions.get(idx));
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}
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// We've got all the required items
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init(zkHost, collectionName, params, metrics);
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init(collectionName, params, metrics, zkHost);
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}
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public String getCollection() {
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return this.collection;
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}
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private void init(String collection,
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SolrParams params,
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Metric[] metrics,
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String zkHost) throws IOException {
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this.zkHost = zkHost;
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this.collection = collection;
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this.metrics = metrics;
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this.params = params;
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}
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@Override
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public StreamExpressionParameter toExpression(StreamFactory factory) throws IOException {
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// functionName(collectionName, param1, param2, ..., paramN, sort="comp", sum(fieldA), avg(fieldB))
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// function name
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StreamExpression expression = new StreamExpression(factory.getFunctionName(this.getClass()));
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// collection
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if(collection.indexOf(',') > -1) {
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expression.addParameter("\""+collection+"\"");
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} else {
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expression.addParameter(collection);
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// parameters
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ModifiableSolrParams mParams = new ModifiableSolrParams(params);
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for (Entry<String, String[]> param : mParams.getMap().entrySet()) {
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expression.addParameter(new StreamExpressionNamedParameter(param.getKey(), String.join(",", param.getValue())));
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}
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// zkHost
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expression.addParameter(new StreamExpressionNamedParameter("zkHost", zkHost));
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// parameters
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ModifiableSolrParams tmpParams = new ModifiableSolrParams(params);
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for (Entry<String, String[]> param : tmpParams.getMap().entrySet()) {
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expression.addParameter(new StreamExpressionNamedParameter(param.getKey(),
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String.join(",", param.getValue())));
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}
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// metrics
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for(Metric metric : metrics){
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expression.addParameter(metric.toExpression(factory));
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}
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// zkHost
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expression.addParameter(new StreamExpressionNamedParameter("zkHost", zkHost));
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return expression;
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}
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@ -173,45 +187,46 @@ public class StatsStream extends TupleStream implements Expressible {
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explanation.setExpressionType(ExpressionType.STREAM_SOURCE);
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explanation.setExpression(toExpression(factory).toString());
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// child is a datastore so add it at this point
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StreamExplanation child = new StreamExplanation(getStreamNodeId() + "-datastore");
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child.setFunctionName(String.format(Locale.ROOT, "solr (worker ? of ?)"));
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// TODO: fix this so we know the # of workers - check with Joel about a Stat's ability to be in a
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child.setFunctionName(String.format(Locale.ROOT, "solr (%s)", collection));
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// TODO: fix this so we know the # of workers - check with Joel about a Topic's ability to be in a
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// parallel stream.
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child.setImplementingClass("Solr/Lucene");
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child.setExpressionType(ExpressionType.DATASTORE);
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ModifiableSolrParams mParams = new ModifiableSolrParams(params);
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child.setExpression(mParams.getMap().entrySet().stream().map(e -> String.format(Locale.ROOT, "%s=%s", e.getKey(), e.getValue())).collect(Collectors.joining(",")));
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child.setExpression(params.stream().map(e -> String.format(Locale.ROOT, "%s=%s", e.getKey(), Arrays.toString(e.getValue()))).collect(Collectors.joining(",")));
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explanation.addChild(child);
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return explanation;
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}
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public void setStreamContext(StreamContext context) {
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streamContext = context;
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this.context = context;
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cache = context.getSolrClientCache();
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}
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public List<TupleStream> children() {
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return new ArrayList<>();
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return new ArrayList();
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}
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public void open() throws IOException {
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ModifiableSolrParams paramsLoc = new ModifiableSolrParams(this.params);
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addStats(paramsLoc, metrics);
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paramsLoc.set("stats", "true");
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paramsLoc.set("rows", "0");
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if (streamContext.isLocal()) {
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paramsLoc.set("distrib", "false");
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}
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Map<String, List<String>> shardsMap = (Map<String, List<String>>)streamContext.get("shards");
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String json = getJsonFacetString(metrics);
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ModifiableSolrParams paramsLoc = new ModifiableSolrParams(params);
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paramsLoc.set("json.facet", json);
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paramsLoc.set("rows", "0");
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Map<String, List<String>> shardsMap = (Map<String, List<String>>)context.get("shards");
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if(shardsMap == null) {
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QueryRequest request = new QueryRequest(paramsLoc, SolrRequest.METHOD.POST);
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CloudSolrClient cloudSolrClient = cache.getCloudSolrClient(zkHost);
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cloudSolrClient = cache.getCloudSolrClient(zkHost);
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try {
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NamedList response = cloudSolrClient.request(request, collection);
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this.tuple = getTuple(response);
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getTuples(response, metrics);
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} catch (Exception e) {
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throw new IOException(e);
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}
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@ -228,7 +243,7 @@ public class StatsStream extends TupleStream implements Expressible {
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QueryRequest request = new QueryRequest(paramsLoc, SolrRequest.METHOD.POST);
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try {
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NamedList response = client.request(request);
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this.tuple = getTuple(response);
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getTuples(response, metrics);
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} catch (Exception e) {
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throw new IOException(e);
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}
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@ -246,117 +261,98 @@ public class StatsStream extends TupleStream implements Expressible {
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return builder.toString();
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}
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public void close() throws IOException {
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}
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public Tuple read() throws IOException {
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if(!done) {
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done = true;
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if(index == 0) {
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++index;
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return tuple;
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} else {
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Map<String, Object> fields = new HashMap<>();
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Map fields = new HashMap();
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fields.put("EOF", true);
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return new Tuple(fields);
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Tuple tuple = new Tuple(fields);
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return tuple;
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}
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}
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public StreamComparator getStreamSort() {
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return null;
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}
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private void addStats(ModifiableSolrParams params, Metric[] _metrics) {
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Map<String, List<String>> m = new HashMap<>();
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for(Metric metric : _metrics) {
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String metricId = metric.getIdentifier();
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if(metricId.contains("(")) {
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metricId = metricId.substring(0, metricId.length()-1);
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String[] parts = metricId.split("\\(");
|
||||
String function = parts[0];
|
||||
String column = parts[1];
|
||||
List<String> stats = m.get(column);
|
||||
|
||||
if(stats == null) {
|
||||
stats = new ArrayList<>();
|
||||
}
|
||||
|
||||
if(!column.equals("*")) {
|
||||
m.put(column, stats);
|
||||
}
|
||||
|
||||
if(function.equals("min")) {
|
||||
stats.add("min");
|
||||
} else if(function.equals("max")) {
|
||||
stats.add("max");
|
||||
} else if(function.equals("sum")) {
|
||||
stats.add("sum");
|
||||
} else if(function.equals("avg")) {
|
||||
stats.add("mean");
|
||||
} else if(function.equals("count")) {
|
||||
this.doCount = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for(Entry<String, List<String>> entry : m.entrySet()) {
|
||||
private String getJsonFacetString(Metric[] _metrics) {
|
||||
StringBuilder buf = new StringBuilder();
|
||||
List<String> stats = entry.getValue();
|
||||
buf.append("{!");
|
||||
|
||||
for(String stat : stats) {
|
||||
buf.append(stat).append("=").append("true ");
|
||||
appendJson(buf, _metrics);
|
||||
return "{"+buf.toString()+"}";
|
||||
}
|
||||
|
||||
buf.append("}").append(entry.getKey());
|
||||
params.add("stats.field", buf.toString());
|
||||
private void appendJson(StringBuilder buf,
|
||||
Metric[] _metrics) {
|
||||
|
||||
int metricCount = 0;
|
||||
for(Metric metric : _metrics) {
|
||||
String identifier = metric.getIdentifier();
|
||||
if(!identifier.startsWith("count(")) {
|
||||
if(metricCount>0) {
|
||||
buf.append(",");
|
||||
}
|
||||
if(identifier.startsWith("per(")) {
|
||||
buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier.replaceFirst("per", "percentile")).append('"');
|
||||
} else if(identifier.startsWith("std(")) {
|
||||
buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier.replaceFirst("std", "stddev")).append('"');
|
||||
} else {
|
||||
buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier).append('"');
|
||||
}
|
||||
++metricCount;
|
||||
}
|
||||
}
|
||||
|
||||
private Tuple getTuple(NamedList response) {
|
||||
|
||||
Map<String, Object> map = new HashMap<>();
|
||||
SolrDocumentList solrDocumentList = (SolrDocumentList) response.get("response");
|
||||
|
||||
long count = solrDocumentList.getNumFound();
|
||||
|
||||
if(doCount) {
|
||||
map.put("count(*)", count);
|
||||
//buf.append("}");
|
||||
}
|
||||
|
||||
if(count != 0) {
|
||||
NamedList stats = (NamedList)response.get("stats");
|
||||
NamedList statsFields = (NamedList)stats.get("stats_fields");
|
||||
private void getTuples(NamedList response,
|
||||
Metric[] metrics) {
|
||||
|
||||
for(int i=0; i<statsFields.size(); i++) {
|
||||
String field = statsFields.getName(i);
|
||||
NamedList theStats = (NamedList)statsFields.getVal(i);
|
||||
for(int s=0; s<theStats.size(); s++) {
|
||||
addStat(map, field, theStats.getName(s), theStats.getVal(s));
|
||||
}
|
||||
}
|
||||
this.tuple = new Tuple(new HashMap());
|
||||
NamedList facets = (NamedList)response.get("facets");
|
||||
System.out.println("###### Facets:"+facets);
|
||||
fillTuple(tuple, facets, metrics);
|
||||
}
|
||||
|
||||
return new Tuple(map);
|
||||
private void fillTuple(Tuple t,
|
||||
NamedList nl,
|
||||
Metric[] _metrics) {
|
||||
|
||||
if(nl == null) {
|
||||
return;
|
||||
}
|
||||
|
||||
int m = 0;
|
||||
for(Metric metric : _metrics) {
|
||||
String identifier = metric.getIdentifier();
|
||||
if(!identifier.startsWith("count(")) {
|
||||
if(nl.get("facet_"+m) != null) {
|
||||
Object d = nl.get("facet_" + m);
|
||||
if(d instanceof Number) {
|
||||
if (metric.outputLong) {
|
||||
t.put(identifier, Math.round(((Number)d).doubleValue()));
|
||||
} else {
|
||||
t.put(identifier, ((Number)d).doubleValue());
|
||||
}
|
||||
} else {
|
||||
t.put(identifier, d);
|
||||
}
|
||||
}
|
||||
++m;
|
||||
} else {
|
||||
long l = ((Number)nl.get("count")).longValue();
|
||||
t.put("count(*)", l);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public int getCost() {
|
||||
return 0;
|
||||
}
|
||||
|
||||
private void addStat(Map<String, Object> map, String field, String stat, Object val) {
|
||||
if(stat.equals("mean")) {
|
||||
String name = "avg("+field+")";
|
||||
Metric m = metricMap.get(name);
|
||||
if(m.outputLong) {
|
||||
Number num = (Number) val;
|
||||
map.put(name, Math.round(num.doubleValue()));
|
||||
} else {
|
||||
map.put(name, val);
|
||||
}
|
||||
} else {
|
||||
map.put(stat+"("+field+")", val);
|
||||
}
|
||||
@Override
|
||||
public StreamComparator getStreamSort() {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -366,7 +366,13 @@ public class TimeSeriesStream extends TupleStream implements Expressible {
|
|||
if(metricCount>0) {
|
||||
buf.append(",");
|
||||
}
|
||||
if(identifier.startsWith("per(")) {
|
||||
buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier.replaceFirst("per", "percentile")).append('"');
|
||||
} else if(identifier.startsWith("std(")) {
|
||||
buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier.replaceFirst("std", "stddev")).append('"');
|
||||
} else {
|
||||
buf.append("\"facet_").append(metricCount).append("\":\"").append(identifier).append('"');
|
||||
}
|
||||
++metricCount;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,84 @@
|
|||
/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one or more
|
||||
* contributor license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright ownership.
|
||||
* The ASF licenses this file to You under the Apache License, Version 2.0
|
||||
* (the "License"); you may not use this file except in compliance with
|
||||
* the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
package org.apache.solr.client.solrj.io.stream.metrics;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Locale;
|
||||
|
||||
import org.apache.solr.client.solrj.io.Tuple;
|
||||
import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
|
||||
import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionParameter;
|
||||
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
|
||||
|
||||
public class PercentileMetric extends Metric {
|
||||
private long longMax = -Long.MIN_VALUE;
|
||||
private double doubleMax = -Double.MAX_VALUE;
|
||||
private String columnName;
|
||||
|
||||
public PercentileMetric(String columnName, int percentile){
|
||||
|
||||
init("per", columnName, percentile);
|
||||
}
|
||||
|
||||
public PercentileMetric(StreamExpression expression, StreamFactory factory) throws IOException{
|
||||
// grab all parameters out
|
||||
String functionName = expression.getFunctionName();
|
||||
String columnName = factory.getValueOperand(expression, 0);
|
||||
int percentile = Integer.parseInt(factory.getValueOperand(expression, 1));
|
||||
|
||||
// validate expression contains only what we want.
|
||||
if(null == columnName){
|
||||
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expected %s(columnName)", expression, functionName));
|
||||
}
|
||||
if(2 != expression.getParameters().size()){
|
||||
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - unknown operands found", expression));
|
||||
}
|
||||
|
||||
init(functionName, columnName, percentile);
|
||||
}
|
||||
|
||||
private void init(String functionName, String columnName, int percentile){
|
||||
this.columnName = columnName;
|
||||
setFunctionName(functionName);
|
||||
setIdentifier(functionName, "(", columnName, ","+percentile, ")");
|
||||
}
|
||||
|
||||
public Number getValue() {
|
||||
if(longMax == Long.MIN_VALUE) {
|
||||
return doubleMax;
|
||||
} else {
|
||||
return longMax;
|
||||
}
|
||||
}
|
||||
|
||||
public String[] getColumns() {
|
||||
return new String[]{columnName};
|
||||
}
|
||||
|
||||
public void update(Tuple tuple) {
|
||||
|
||||
}
|
||||
|
||||
public Metric newInstance() {
|
||||
return new MaxMetric(columnName);
|
||||
}
|
||||
|
||||
@Override
|
||||
public StreamExpressionParameter toExpression(StreamFactory factory) throws IOException {
|
||||
return new StreamExpression(getFunctionName()).withParameter(columnName);
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,93 @@
|
|||
/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one or more
|
||||
* contributor license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright ownership.
|
||||
* The ASF licenses this file to You under the Apache License, Version 2.0
|
||||
* (the "License"); you may not use this file except in compliance with
|
||||
* the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
package org.apache.solr.client.solrj.io.stream.metrics;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Locale;
|
||||
|
||||
import org.apache.solr.client.solrj.io.Tuple;
|
||||
import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
|
||||
import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionParameter;
|
||||
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
|
||||
|
||||
public class StdMetric extends Metric {
|
||||
// How'd the MeanMetric get to be so mean?
|
||||
// Maybe it was born with it.
|
||||
// Maybe it was mayba-mean.
|
||||
//
|
||||
// I'll see myself out.
|
||||
|
||||
private String columnName;
|
||||
private double doubleSum;
|
||||
private long longSum;
|
||||
private long count;
|
||||
|
||||
public StdMetric(String columnName){
|
||||
init("std", columnName, false);
|
||||
}
|
||||
|
||||
public StdMetric(String columnName, boolean outputLong){
|
||||
init("std", columnName, outputLong);
|
||||
}
|
||||
|
||||
public StdMetric(StreamExpression expression, StreamFactory factory) throws IOException{
|
||||
// grab all parameters out
|
||||
String functionName = expression.getFunctionName();
|
||||
String columnName = factory.getValueOperand(expression, 0);
|
||||
String outputLong = factory.getValueOperand(expression, 1);
|
||||
|
||||
|
||||
// validate expression contains only what we want.
|
||||
if(null == columnName){
|
||||
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expected %s(columnName)", expression, functionName));
|
||||
}
|
||||
|
||||
boolean ol = false;
|
||||
if(outputLong != null) {
|
||||
ol = Boolean.parseBoolean(outputLong);
|
||||
}
|
||||
|
||||
init(functionName, columnName, ol);
|
||||
}
|
||||
|
||||
private void init(String functionName, String columnName, boolean outputLong){
|
||||
this.columnName = columnName;
|
||||
this.outputLong = outputLong;
|
||||
setFunctionName(functionName);
|
||||
setIdentifier(functionName, "(", columnName, ")");
|
||||
}
|
||||
|
||||
public void update(Tuple tuple) {
|
||||
}
|
||||
|
||||
public Metric newInstance() {
|
||||
return new MeanMetric(columnName, outputLong);
|
||||
}
|
||||
|
||||
public String[] getColumns() {
|
||||
return new String[]{columnName};
|
||||
}
|
||||
|
||||
public Number getValue() {
|
||||
return null;
|
||||
}
|
||||
|
||||
@Override
|
||||
public StreamExpressionParameter toExpression(StreamFactory factory) throws IOException {
|
||||
return new StreamExpression(getFunctionName()).withParameter(columnName).withParameter(Boolean.toString(outputLong));
|
||||
}
|
||||
}
|
||||
|
|
@ -85,7 +85,7 @@ public class TestLang extends SolrTestCase {
|
|||
"getSupportPoints", "pairSort", "log10", "plist", "recip", "pivot", "ltrim", "rtrim", "export",
|
||||
"zplot", "natural", "repeat", "movingMAD", "hashRollup", "noop", "var", "stddev", "recNum", "isNull",
|
||||
"notNull", "matches", "projectToBorder", "double", "long", "parseCSV", "parseTSV", "dateTime",
|
||||
"split", "upper", "trim", "lower", "trunc", "cosine", "dbscan"};
|
||||
"split", "upper", "trim", "lower", "trunc", "cosine", "dbscan", "per", "std"};
|
||||
|
||||
@Test
|
||||
public void testLang() {
|
||||
|
|
|
|||
|
|
@ -48,6 +48,8 @@ import org.apache.solr.client.solrj.io.stream.metrics.CountMetric;
|
|||
import org.apache.solr.client.solrj.io.stream.metrics.MaxMetric;
|
||||
import org.apache.solr.client.solrj.io.stream.metrics.MeanMetric;
|
||||
import org.apache.solr.client.solrj.io.stream.metrics.MinMetric;
|
||||
import org.apache.solr.client.solrj.io.stream.metrics.PercentileMetric;
|
||||
import org.apache.solr.client.solrj.io.stream.metrics.StdMetric;
|
||||
import org.apache.solr.client.solrj.io.stream.metrics.SumMetric;
|
||||
import org.apache.solr.client.solrj.request.CollectionAdminRequest;
|
||||
import org.apache.solr.client.solrj.request.UpdateRequest;
|
||||
|
|
@ -762,7 +764,9 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
.withFunctionName("min", MinMetric.class)
|
||||
.withFunctionName("max", MaxMetric.class)
|
||||
.withFunctionName("avg", MeanMetric.class)
|
||||
.withFunctionName("count", CountMetric.class);
|
||||
.withFunctionName("count", CountMetric.class)
|
||||
.withFunctionName("std", StdMetric.class)
|
||||
.withFunctionName("per", PercentileMetric.class);
|
||||
|
||||
StreamExpression expression;
|
||||
TupleStream stream;
|
||||
|
|
@ -771,7 +775,7 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
SolrClientCache cache = new SolrClientCache();
|
||||
try {
|
||||
streamContext.setSolrClientCache(cache);
|
||||
String expr = "stats(" + COLLECTIONORALIAS + ", q=*:*, sum(a_i), sum(a_f), min(a_i), min(a_f), max(a_i), max(a_f), avg(a_i), avg(a_f), count(*))";
|
||||
String expr = "stats(" + COLLECTIONORALIAS + ", q=*:*, sum(a_i), sum(a_f), min(a_i), min(a_f), max(a_i), max(a_f), avg(a_i), avg(a_f), std(a_i), std(a_f), per(a_i, 50), per(a_f, 50), count(*))";
|
||||
expression = StreamExpressionParser.parse(expr);
|
||||
stream = factory.constructStream(expression);
|
||||
stream.setStreamContext(streamContext);
|
||||
|
|
@ -792,6 +796,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
Double maxf = tuple.getDouble("max(a_f)");
|
||||
Double avgi = tuple.getDouble("avg(a_i)");
|
||||
Double avgf = tuple.getDouble("avg(a_f)");
|
||||
Double stdi = tuple.getDouble("std(a_i)");
|
||||
Double stdf = tuple.getDouble("std(a_f)");
|
||||
Double peri = tuple.getDouble("per(a_i,50)");
|
||||
Double perf = tuple.getDouble("per(a_f,50)");
|
||||
Double count = tuple.getDouble("count(*)");
|
||||
|
||||
assertTrue(sumi.longValue() == 70);
|
||||
|
|
@ -802,11 +810,16 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(maxf.doubleValue() == 10.0D);
|
||||
assertTrue(avgi.doubleValue() == 7.0D);
|
||||
assertTrue(avgf.doubleValue() == 5.5D);
|
||||
assertTrue(stdi.doubleValue() == 5.477225575051661D);
|
||||
assertTrue(stdf.doubleValue() == 3.0276503540974917D);
|
||||
assertTrue(peri.doubleValue() == 7.0D);
|
||||
assertTrue(perf.doubleValue() == 5.5D);
|
||||
assertTrue(count.doubleValue() == 10);
|
||||
|
||||
|
||||
//Test without query
|
||||
|
||||
expr = "stats(" + COLLECTIONORALIAS + ", sum(a_i), sum(a_f), min(a_i), min(a_f), max(a_i), max(a_f), avg(a_i), avg(a_f), count(*))";
|
||||
expr = "stats(" + COLLECTIONORALIAS + ", sum(a_i), sum(a_f), min(a_i), min(a_f), max(a_i), max(a_f), avg(a_i), avg(a_f), std(a_i), std(a_f), per(a_i, 50), per(a_f, 50), count(*))";
|
||||
expression = StreamExpressionParser.parse(expr);
|
||||
stream = factory.constructStream(expression);
|
||||
stream.setStreamContext(streamContext);
|
||||
|
|
@ -827,6 +840,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
maxf = tuple.getDouble("max(a_f)");
|
||||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
|
||||
assertTrue(sumi.longValue() == 70);
|
||||
|
|
@ -837,12 +854,15 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(maxf.doubleValue() == 10.0D);
|
||||
assertTrue(avgi.doubleValue() == 7.0D);
|
||||
assertTrue(avgf.doubleValue() == 5.5D);
|
||||
assertTrue(stdi.doubleValue() == 5.477225575051661D);
|
||||
assertTrue(stdf.doubleValue() == 3.0276503540974917D);
|
||||
assertTrue(peri.doubleValue() == 7.0D);
|
||||
assertTrue(perf.doubleValue() == 5.5D);
|
||||
assertTrue(count.doubleValue() == 10);
|
||||
|
||||
|
||||
//Test with shards parameter
|
||||
List<String> shardUrls = TupleStream.getShards(cluster.getZkServer().getZkAddress(), COLLECTIONORALIAS, streamContext);
|
||||
expr = "stats(myCollection, q=*:*, sum(a_i), sum(a_f), min(a_i), min(a_f), max(a_i), max(a_f), avg(a_i), avg(a_f), count(*))";
|
||||
expr = "stats(myCollection, q=*:*, sum(a_i), sum(a_f), min(a_i), min(a_f), max(a_i), max(a_f), avg(a_i), avg(a_f), std(a_i), std(a_f), per(a_i, 50), per(a_f, 50), count(*))";
|
||||
Map<String, List<String>> shardsMap = new HashMap();
|
||||
shardsMap.put("myCollection", shardUrls);
|
||||
StreamContext context = new StreamContext();
|
||||
|
|
@ -867,6 +887,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
maxf = tuple.getDouble("max(a_f)");
|
||||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
|
||||
assertTrue(sumi.longValue() == 70);
|
||||
|
|
@ -877,6 +901,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(maxf.doubleValue() == 10.0D);
|
||||
assertTrue(avgi.doubleValue() == 7.0D);
|
||||
assertTrue(avgf.doubleValue() == 5.5D);
|
||||
assertTrue(stdi.doubleValue() == 5.477225575051661D);
|
||||
assertTrue(stdf.doubleValue() == 3.0276503540974917D);
|
||||
assertTrue(peri.doubleValue() == 7.0D);
|
||||
assertTrue(perf.doubleValue() == 5.5D);
|
||||
assertTrue(count.doubleValue() == 10);
|
||||
|
||||
//Execersise the /stream hander
|
||||
|
|
@ -1135,6 +1163,8 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
.withFunctionName("min", MinMetric.class)
|
||||
.withFunctionName("max", MaxMetric.class)
|
||||
.withFunctionName("avg", MeanMetric.class)
|
||||
.withFunctionName("std", StdMetric.class)
|
||||
.withFunctionName("per", PercentileMetric.class)
|
||||
.withFunctionName("count", CountMetric.class);
|
||||
|
||||
// Basic test
|
||||
|
|
@ -1150,6 +1180,8 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
+ "min(a_i), min(a_f), "
|
||||
+ "max(a_i), max(a_f), "
|
||||
+ "avg(a_i), avg(a_f), "
|
||||
+ "std(a_i), std(a_f),"
|
||||
+ "per(a_i, 50), per(a_f, 50),"
|
||||
+ "count(*)"
|
||||
+ ")";
|
||||
|
||||
|
|
@ -1158,7 +1190,6 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
|
||||
assert(tuples.size() == 3);
|
||||
|
||||
//Test Long and Double Sums
|
||||
|
||||
Tuple tuple = tuples.get(0);
|
||||
String bucket = tuple.getString("a_s");
|
||||
|
|
@ -1170,6 +1201,12 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
Double maxf = tuple.getDouble("max(a_f)");
|
||||
Double avgi = tuple.getDouble("avg(a_i)");
|
||||
Double avgf = tuple.getDouble("avg(a_f)");
|
||||
Double stdi = tuple.getDouble("std(a_i)");
|
||||
Double stdf = tuple.getDouble("std(a_f)");
|
||||
Double peri = tuple.getDouble("per(a_i,50)");
|
||||
Double perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
|
||||
Double count = tuple.getDouble("count(*)");
|
||||
|
||||
assertTrue(bucket.equals("hello4"));
|
||||
|
|
@ -1182,6 +1219,11 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 7.5D);
|
||||
assertTrue(avgf.doubleValue() == 5.5D);
|
||||
assertTrue(count.doubleValue() == 2);
|
||||
assertTrue(stdi.doubleValue() == 4.949747468305833D);
|
||||
assertTrue(stdf.doubleValue() == 2.1213203435596424D);
|
||||
assertTrue(peri.doubleValue() == 7.5D);
|
||||
assertTrue(perf.doubleValue() == 5.5D);
|
||||
|
||||
|
||||
tuple = tuples.get(1);
|
||||
bucket = tuple.getString("a_s");
|
||||
|
|
@ -1194,6 +1236,11 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
|
||||
assertTrue(bucket.equals("hello0"));
|
||||
assertTrue(sumi.doubleValue() == 17.0D);
|
||||
|
|
@ -1205,6 +1252,11 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 4.25D);
|
||||
assertTrue(avgf.doubleValue() == 4.5D);
|
||||
assertTrue(count.doubleValue() == 4);
|
||||
assertTrue(stdi.doubleValue() == 6.551081335677848D);
|
||||
assertTrue(stdf.doubleValue() == 4.041451884327381D);
|
||||
assertTrue(peri.doubleValue() == 1.5D);
|
||||
assertTrue(perf.doubleValue() == 3.5D);
|
||||
|
||||
|
||||
tuple = tuples.get(2);
|
||||
bucket = tuple.getString("a_s");
|
||||
|
|
@ -1217,6 +1269,15 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
|
||||
System.out.println("STD and Per:"+stdi+":"+stdf+":"+peri+":"+perf);
|
||||
//STD and Per:4.509249752822894:2.6457513110645907:11.0:7.0
|
||||
//assert(false);
|
||||
|
||||
assertTrue(bucket.equals("hello3"));
|
||||
assertTrue(sumi.doubleValue() == 38.0D);
|
||||
|
|
@ -1228,6 +1289,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 9.5D);
|
||||
assertTrue(avgf.doubleValue() == 6.5D);
|
||||
assertTrue(count.doubleValue() == 4);
|
||||
assertTrue(stdi.doubleValue() == 4.509249752822894D);
|
||||
assertTrue(stdf.doubleValue() == 2.6457513110645907D);
|
||||
assertTrue(peri.doubleValue() == 11.0D);
|
||||
assertTrue(perf.doubleValue() == 7.0D);
|
||||
|
||||
|
||||
//Reverse the Sort.
|
||||
|
|
@ -1244,6 +1309,8 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
+ "min(a_i), min(a_f), "
|
||||
+ "max(a_i), max(a_f), "
|
||||
+ "avg(a_i), avg(a_f), "
|
||||
+ "std(a_i), std(a_f),"
|
||||
+ "per(a_i, 50), per(a_f, 50),"
|
||||
+ "count(*)"
|
||||
+ ")";
|
||||
|
||||
|
|
@ -1264,6 +1331,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
assertTrue(bucket.equals("hello3"));
|
||||
assertTrue(sumi.doubleValue() == 38.0D);
|
||||
|
|
@ -1275,6 +1346,11 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 9.5D);
|
||||
assertTrue(avgf.doubleValue() == 6.5D);
|
||||
assertTrue(count.doubleValue() == 4);
|
||||
assertTrue(stdi.doubleValue() == 4.509249752822894D);
|
||||
assertTrue(stdf.doubleValue() == 2.6457513110645907D);
|
||||
assertTrue(peri.doubleValue() == 11.0D);
|
||||
assertTrue(perf.doubleValue() == 7.0D);
|
||||
|
||||
|
||||
tuple = tuples.get(1);
|
||||
bucket = tuple.getString("a_s");
|
||||
|
|
@ -1287,6 +1363,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
assertTrue(bucket.equals("hello0"));
|
||||
assertTrue(sumi.doubleValue() == 17.0D);
|
||||
|
|
@ -1298,6 +1378,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 4.25D);
|
||||
assertTrue(avgf.doubleValue() == 4.5D);
|
||||
assertTrue(count.doubleValue() == 4);
|
||||
assertTrue(stdi.doubleValue() == 6.551081335677848D);
|
||||
assertTrue(stdf.doubleValue() == 4.041451884327381D);
|
||||
assertTrue(peri.doubleValue() == 1.5D);
|
||||
assertTrue(perf.doubleValue() == 3.5D);
|
||||
|
||||
tuple = tuples.get(2);
|
||||
bucket = tuple.getString("a_s");
|
||||
|
|
@ -1310,6 +1394,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
assertTrue(bucket.equals("hello4"));
|
||||
assertTrue(sumi.longValue() == 15);
|
||||
|
|
@ -1321,6 +1409,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 7.5D);
|
||||
assertTrue(avgf.doubleValue() == 5.5D);
|
||||
assertTrue(count.doubleValue() == 2);
|
||||
assertTrue(stdi.doubleValue() == 4.949747468305833D);
|
||||
assertTrue(stdf.doubleValue() == 2.1213203435596424D);
|
||||
assertTrue(peri.doubleValue() == 7.5D);
|
||||
assertTrue(perf.doubleValue() == 5.5D);
|
||||
|
||||
|
||||
clause = "facet("
|
||||
|
|
@ -1477,6 +1569,8 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
+ "min(a_i), min(a_f), "
|
||||
+ "max(a_i), max(a_f), "
|
||||
+ "avg(a_i), avg(a_f), "
|
||||
+ "std(a_i), std(a_f),"
|
||||
+ "per(a_i, 50), per(a_f, 50),"
|
||||
+ "count(*)"
|
||||
+ ")";
|
||||
|
||||
|
|
@ -1497,7 +1591,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
assertTrue(bucket.equals("hello4"));
|
||||
assertTrue(sumi.longValue() == 15);
|
||||
|
|
@ -1509,7 +1606,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 7.5D);
|
||||
assertTrue(avgf.doubleValue() == 5.5D);
|
||||
assertTrue(count.doubleValue() == 2);
|
||||
|
||||
assertTrue(stdi.doubleValue() == 4.949747468305833D);
|
||||
assertTrue(stdf.doubleValue() == 2.1213203435596424D);
|
||||
assertTrue(peri.doubleValue() == 7.5D);
|
||||
assertTrue(perf.doubleValue() == 5.5D);
|
||||
|
||||
tuple = tuples.get(1);
|
||||
bucket = tuple.getString("a_s");
|
||||
|
|
@ -1522,6 +1622,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
assertTrue(bucket.equals("hello3"));
|
||||
assertTrue(sumi.doubleValue() == 38.0D);
|
||||
|
|
@ -1533,6 +1637,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 9.5D);
|
||||
assertTrue(avgf.doubleValue() == 6.5D);
|
||||
assertTrue(count.doubleValue() == 4);
|
||||
assertTrue(stdi.doubleValue() == 4.509249752822894D);
|
||||
assertTrue(stdf.doubleValue() == 2.6457513110645907D);
|
||||
assertTrue(peri.doubleValue() == 11.0D);
|
||||
assertTrue(perf.doubleValue() == 7.0D);
|
||||
|
||||
|
||||
tuple = tuples.get(2);
|
||||
|
|
@ -1546,6 +1654,10 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
avgi = tuple.getDouble("avg(a_i)");
|
||||
avgf = tuple.getDouble("avg(a_f)");
|
||||
count = tuple.getDouble("count(*)");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
stdf = tuple.getDouble("std(a_f)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
perf = tuple.getDouble("per(a_f,50)");
|
||||
|
||||
assertTrue(bucket.equals("hello0"));
|
||||
assertTrue(sumi.doubleValue() == 17.0D);
|
||||
|
|
@ -1557,6 +1669,11 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(avgi.doubleValue() == 4.25D);
|
||||
assertTrue(avgf.doubleValue() == 4.5D);
|
||||
assertTrue(count.doubleValue() == 4);
|
||||
assertTrue(stdi.doubleValue() == 6.551081335677848D);
|
||||
assertTrue(stdf.doubleValue() == 4.041451884327381D);
|
||||
assertTrue(peri.doubleValue() == 1.5D);
|
||||
assertTrue(perf.doubleValue() == 3.5D);
|
||||
|
||||
|
||||
//Test index sort
|
||||
|
||||
|
|
@ -1810,14 +1927,16 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
.withFunctionName("min", MinMetric.class)
|
||||
.withFunctionName("max", MaxMetric.class)
|
||||
.withFunctionName("avg", MeanMetric.class)
|
||||
.withFunctionName("count", CountMetric.class);
|
||||
.withFunctionName("count", CountMetric.class)
|
||||
.withFunctionName("std", StdMetric.class)
|
||||
.withFunctionName("per", PercentileMetric.class);
|
||||
|
||||
// Basic test
|
||||
clause = "facet("
|
||||
+ "collection1, "
|
||||
+ "q=\"*:*\", "
|
||||
+ "buckets=\"level1_s, level2_s\", "
|
||||
+ "bucketSorts=\"sum(a_i) desc, sum(a_i) desc)\", "
|
||||
+ "bucketSorts=\"sum(a_i) desc, sum(a_i) desc\", "
|
||||
+ "bucketSizeLimit=100, "
|
||||
+ "sum(a_i), count(*)"
|
||||
+ ")";
|
||||
|
|
@ -1897,7 +2016,7 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
+ "collection1, "
|
||||
+ "q=\"*:*\", "
|
||||
+ "buckets=\"level1_s, level2_s\", "
|
||||
+ "bucketSorts=\"level1_s desc, level2_s desc)\", "
|
||||
+ "bucketSorts=\"level1_s desc, level2_s desc\", "
|
||||
+ "bucketSizeLimit=100, "
|
||||
+ "sum(a_i), count(*)"
|
||||
+ ")";
|
||||
|
|
@ -1972,6 +2091,89 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(bucket2.equals("a"));
|
||||
assertTrue(sumi.longValue() == 2);
|
||||
assertTrue(count.doubleValue() == 2);
|
||||
|
||||
//Add sorts for percentile
|
||||
|
||||
clause = "facet("
|
||||
+ "collection1, "
|
||||
+ "q=\"*:*\", "
|
||||
+ "buckets=\"level1_s, level2_s\", "
|
||||
+ "bucketSorts=\"per(a_i, 50) desc, std(a_i) desc\", "
|
||||
+ "bucketSizeLimit=100, "
|
||||
+ "std(a_i), per(a_i,50)"
|
||||
+ ")";
|
||||
|
||||
stream = factory.constructStream(clause);
|
||||
tuples = getTuples(stream);
|
||||
|
||||
assert(tuples.size() == 6);
|
||||
|
||||
tuple = tuples.get(0);
|
||||
bucket1 = tuple.getString("level1_s");
|
||||
bucket2 = tuple.getString("level2_s");
|
||||
double stdi = tuple.getDouble("std(a_i)");
|
||||
double peri = tuple.getDouble("per(a_i,50)");
|
||||
|
||||
assertTrue(bucket1.equals("hello3"));
|
||||
assertTrue(bucket2.equals("b"));
|
||||
assertTrue(stdi == 1.5275252316519468D);
|
||||
assertTrue(peri == 12.0D);
|
||||
|
||||
tuple = tuples.get(1);
|
||||
bucket1 = tuple.getString("level1_s");
|
||||
bucket2 = tuple.getString("level2_s");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
|
||||
assertTrue(bucket1.equals("hello4"));
|
||||
assertTrue(bucket2.equals("b"));
|
||||
assertTrue(stdi == 0.0D);
|
||||
assertTrue(peri == 11.0);
|
||||
|
||||
tuple = tuples.get(2);
|
||||
bucket1 = tuple.getString("level1_s");
|
||||
bucket2 = tuple.getString("level2_s");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
|
||||
assertTrue(bucket1.equals("hello0"));
|
||||
assertTrue(bucket2.equals("b"));
|
||||
assertTrue(stdi == 9.192388155425117D);
|
||||
assertTrue(peri == 7.5D);
|
||||
|
||||
tuple = tuples.get(3);
|
||||
bucket1 = tuple.getString("level1_s");
|
||||
bucket2 = tuple.getString("level2_s");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
|
||||
assertTrue(bucket1.equals("hello4"));
|
||||
assertTrue(bucket2.equals("a"));
|
||||
assertTrue(stdi == 0.0D);
|
||||
assertTrue(peri == 4.0D);
|
||||
|
||||
tuple = tuples.get(4);
|
||||
bucket1 = tuple.getString("level1_s");
|
||||
bucket2 = tuple.getString("level2_s");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
|
||||
assertTrue(bucket1.equals("hello3"));
|
||||
assertTrue(bucket2.equals("a"));
|
||||
assertTrue(stdi == 0.0D);
|
||||
assertTrue(peri == 3.0D);
|
||||
|
||||
tuple = tuples.get(5);
|
||||
bucket1 = tuple.getString("level1_s");
|
||||
bucket2 = tuple.getString("level2_s");
|
||||
stdi = tuple.getDouble("std(a_i)");
|
||||
peri = tuple.getDouble("per(a_i,50)");
|
||||
|
||||
assertTrue(bucket1.equals("hello0"));
|
||||
assertTrue(bucket2.equals("a"));
|
||||
assertTrue(stdi == 1.4142135623730951D);
|
||||
assertTrue(peri == 1.0D);
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -2447,7 +2649,7 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
"end=\"2017-12-01T01:00:00.000Z\", " +
|
||||
"gap=\"+1YEAR\", " +
|
||||
"field=\"test_dt\", " +
|
||||
"count(*), sum(price_f), max(price_f), min(price_f))";
|
||||
"count(*), sum(price_f), max(price_f), min(price_f), avg(price_f), std(price_f), per(price_f, 50))";
|
||||
ModifiableSolrParams paramsLoc = new ModifiableSolrParams();
|
||||
paramsLoc.set("expr", expr);
|
||||
paramsLoc.set("qt", "/stream");
|
||||
|
|
@ -2465,38 +2667,52 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(tuples.get(0).getDouble("sum(price_f)").equals(10000D));
|
||||
assertTrue(tuples.get(0).getDouble("max(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("min(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("avg(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(0).getDouble("per(price_f,50)").equals(100D));
|
||||
|
||||
assertTrue(tuples.get(1).get("test_dt").equals("2014-01-01T01:00:00Z"));
|
||||
assertTrue(tuples.get(1).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(1).getDouble("sum(price_f)").equals(25000D));
|
||||
assertTrue(tuples.get(1).getDouble("max(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("min(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("avg(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(1).getDouble("per(price_f,50)").equals(500D));
|
||||
|
||||
assertTrue(tuples.get(2).get("test_dt").equals("2015-01-01T01:00:00Z"));
|
||||
assertTrue(tuples.get(2).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(2).getDouble("sum(price_f)").equals(15000D));
|
||||
assertTrue(tuples.get(2).getDouble("max(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("min(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("avg(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(2).getDouble("per(price_f,50)").equals(300D));
|
||||
|
||||
assertTrue(tuples.get(3).get("test_dt").equals("2016-01-01T01:00:00Z"));
|
||||
assertTrue(tuples.get(3).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(3).getDouble("sum(price_f)").equals(20000D));
|
||||
assertTrue(tuples.get(3).getDouble("max(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("min(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("avg(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(3).getDouble("per(price_f,50)").equals(400D));
|
||||
|
||||
assertTrue(tuples.get(4).get("test_dt").equals("2017-01-01T01:00:00Z"));
|
||||
assertEquals((long)tuples.get(4).getLong("count(*)"), 0L);
|
||||
assertEquals(tuples.get(4).getDouble("sum(price_f)"), 0D, 0);
|
||||
assertEquals(tuples.get(4).getDouble("max(price_f)"),0D, 0);
|
||||
assertEquals(tuples.get(4).getDouble("min(price_f)"), 0D, 0);
|
||||
|
||||
assertTrue(tuples.get(4).getDouble("avg(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(4).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(4).getDouble("per(price_f,50)").equals(0D));
|
||||
|
||||
expr = "timeseries("+COLLECTIONORALIAS+", q=\"*:*\", start=\"2013-01-01T01:00:00.000Z\", " +
|
||||
"end=\"2016-12-01T01:00:00.000Z\", " +
|
||||
"gap=\"+1YEAR\", " +
|
||||
"field=\"test_dt\", " +
|
||||
"format=\"yyyy\", " +
|
||||
"count(*), sum(price_f), max(price_f), min(price_f))";
|
||||
"count(*), sum(price_f), max(price_f), min(price_f), avg(price_f), std(price_f), per(price_f, 50))";
|
||||
paramsLoc = new ModifiableSolrParams();
|
||||
paramsLoc.set("expr", expr);
|
||||
paramsLoc.set("qt", "/stream");
|
||||
|
|
@ -2512,31 +2728,45 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(tuples.get(0).getDouble("sum(price_f)").equals(10000D));
|
||||
assertTrue(tuples.get(0).getDouble("max(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("min(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("avg(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(0).getDouble("per(price_f,50)").equals(100D));
|
||||
|
||||
assertTrue(tuples.get(1).get("test_dt").equals("2014"));
|
||||
assertTrue(tuples.get(1).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(1).getDouble("sum(price_f)").equals(25000D));
|
||||
assertTrue(tuples.get(1).getDouble("max(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("min(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("avg(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(1).getDouble("per(price_f,50)").equals(500D));
|
||||
|
||||
|
||||
assertTrue(tuples.get(2).get("test_dt").equals("2015"));
|
||||
assertTrue(tuples.get(2).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(2).getDouble("sum(price_f)").equals(15000D));
|
||||
assertTrue(tuples.get(2).getDouble("max(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("min(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("avg(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(2).getDouble("per(price_f,50)").equals(300D));
|
||||
|
||||
assertTrue(tuples.get(3).get("test_dt").equals("2016"));
|
||||
assertTrue(tuples.get(3).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(3).getDouble("sum(price_f)").equals(20000D));
|
||||
assertTrue(tuples.get(3).getDouble("max(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("min(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("avg(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(3).getDouble("per(price_f,50)").equals(400D));
|
||||
|
||||
|
||||
expr = "timeseries("+COLLECTIONORALIAS+", q=\"*:*\", start=\"2013-01-01T01:00:00.000Z\", " +
|
||||
"end=\"2016-12-01T01:00:00.000Z\", " +
|
||||
"gap=\"+1YEAR\", " +
|
||||
"field=\"test_dt\", " +
|
||||
"format=\"yyyy-MM\", " +
|
||||
"count(*), sum(price_f), max(price_f), min(price_f))";
|
||||
"count(*), sum(price_f), max(price_f), min(price_f), avg(price_f), std(price_f), per(price_f, 50))";
|
||||
paramsLoc = new ModifiableSolrParams();
|
||||
paramsLoc.set("expr", expr);
|
||||
paramsLoc.set("qt", "/stream");
|
||||
|
|
@ -2552,24 +2782,36 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(tuples.get(0).getDouble("sum(price_f)").equals(10000D));
|
||||
assertTrue(tuples.get(0).getDouble("max(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("min(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("avg(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(0).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(0).getDouble("per(price_f,50)").equals(100D));
|
||||
|
||||
assertTrue(tuples.get(1).get("test_dt").equals("2014-01"));
|
||||
assertTrue(tuples.get(1).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(1).getDouble("sum(price_f)").equals(25000D));
|
||||
assertTrue(tuples.get(1).getDouble("max(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("min(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("avg(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(1).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(1).getDouble("per(price_f,50)").equals(500D));
|
||||
|
||||
assertTrue(tuples.get(2).get("test_dt").equals("2015-01"));
|
||||
assertTrue(tuples.get(2).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(2).getDouble("sum(price_f)").equals(15000D));
|
||||
assertTrue(tuples.get(2).getDouble("max(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("min(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("avg(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(2).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(2).getDouble("per(price_f,50)").equals(300D));
|
||||
|
||||
assertTrue(tuples.get(3).get("test_dt").equals("2016-01"));
|
||||
assertTrue(tuples.get(3).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(3).getDouble("sum(price_f)").equals(20000D));
|
||||
assertTrue(tuples.get(3).getDouble("max(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("min(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("avg(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(3).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(3).getDouble("per(price_f,50)").equals(400D));
|
||||
|
||||
|
||||
expr = "timeseries("+COLLECTIONORALIAS+", q=\"*:*\", start=\"2012-01-01T01:00:00.000Z\", " +
|
||||
|
|
@ -2577,7 +2819,7 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
"gap=\"+1YEAR\", " +
|
||||
"field=\"test_dt\", " +
|
||||
"format=\"yyyy-MM\", " +
|
||||
"count(*), sum(price_f), max(price_f), min(price_f))";
|
||||
"count(*), sum(price_f), max(price_f), min(price_f), avg(price_f), std(price_f), per(price_f, 50))";
|
||||
paramsLoc = new ModifiableSolrParams();
|
||||
paramsLoc.set("expr", expr);
|
||||
paramsLoc.set("qt", "/stream");
|
||||
|
|
@ -2592,30 +2834,45 @@ public class StreamExpressionTest extends SolrCloudTestCase {
|
|||
assertTrue(tuples.get(0).getDouble("sum(price_f)") == 0);
|
||||
assertTrue(tuples.get(0).getDouble("max(price_f)") == 0);
|
||||
assertTrue(tuples.get(0).getDouble("min(price_f)") == 0);
|
||||
assertTrue(tuples.get(0).getDouble("avg(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(0).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(0).getDouble("per(price_f,50)").equals(0D));
|
||||
|
||||
assertTrue(tuples.get(1).get("test_dt").equals("2013-01"));
|
||||
assertTrue(tuples.get(1).getLong("count(*)").equals(100L));
|
||||
assertTrue(tuples.get(1).getDouble("sum(price_f)").equals(10000D));
|
||||
assertTrue(tuples.get(1).getDouble("max(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(1).getDouble("min(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(1).getDouble("avg(price_f)").equals(100D));
|
||||
assertTrue(tuples.get(1).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(1).getDouble("per(price_f,50)").equals(100D));
|
||||
|
||||
assertTrue(tuples.get(2).get("test_dt").equals("2014-01"));
|
||||
assertTrue(tuples.get(2).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(2).getDouble("sum(price_f)").equals(25000D));
|
||||
assertTrue(tuples.get(2).getDouble("max(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(2).getDouble("min(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(2).getDouble("avg(price_f)").equals(500D));
|
||||
assertTrue(tuples.get(2).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(2).getDouble("per(price_f,50)").equals(500D));
|
||||
|
||||
assertTrue(tuples.get(3).get("test_dt").equals("2015-01"));
|
||||
assertTrue(tuples.get(3).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(3).getDouble("sum(price_f)").equals(15000D));
|
||||
assertTrue(tuples.get(3).getDouble("max(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(3).getDouble("min(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(3).getDouble("avg(price_f)").equals(300D));
|
||||
assertTrue(tuples.get(3).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(3).getDouble("per(price_f,50)").equals(300D));
|
||||
|
||||
assertTrue(tuples.get(4).get("test_dt").equals("2016-01"));
|
||||
assertTrue(tuples.get(4).getLong("count(*)").equals(50L));
|
||||
assertTrue(tuples.get(4).getDouble("sum(price_f)").equals(20000D));
|
||||
assertTrue(tuples.get(4).getDouble("max(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(4).getDouble("min(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(4).getDouble("avg(price_f)").equals(400D));
|
||||
assertTrue(tuples.get(4).getDouble("std(price_f)").equals(0D));
|
||||
assertTrue(tuples.get(4).getDouble("per(price_f,50)").equals(400D));
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
|
|||
Loading…
Reference in New Issue