blob: 28b21df65baf3a0edb8eb58b3af60da73267c305 [file] [log] [blame]
/*
* 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.analytics.facet;
import java.util.ArrayList;
import java.util.List;
import org.junit.BeforeClass;
import org.junit.Test;
public class PivotFacetTest extends SolrAnalyticsFacetTestCase {
@BeforeClass
public static void populate() throws Exception {
for (int j = 0; j < NUM_LOOPS; ++j) {
int i = j%INT;
long l = j%LONG;
float f = j%FLOAT;
double d = j%DOUBLE;
String dt = (1800+j%DATE) + "-12-31T23:59:59Z";
String dtm = (1800+j%DATE + 10) + "-12-31T23:59:59Z";
String s = "str" + (j%STRING);
List<String> fields = new ArrayList<>();
fields.add("id"); fields.add("1000"+j);
if ( i != 0 ) {
fields.add("int_i"); fields.add("" + i);
fields.add("int_im"); fields.add("" + i);
fields.add("int_im"); fields.add("" + (i+10));
}
if ( l != 0l ) {
fields.add("long_l"); fields.add("" + l);
fields.add("long_lm"); fields.add("" + l);
fields.add("long_lm"); fields.add("" + (l+10));
}
if ( f != 0.0f ) {
fields.add("float_f"); fields.add("" + f);
fields.add("float_fm"); fields.add("" + f);
fields.add("float_fm"); fields.add("" + (f+10));
}
if ( d != 0.0d ) {
fields.add("double_d"); fields.add("" + d);
fields.add("double_dm"); fields.add("" + d);
fields.add("double_dm"); fields.add("" + (d+10));
}
if ( (j%DATE) != 0 ) {
fields.add("date_dt"); fields.add(dt);
fields.add("date_dtm"); fields.add(dt);
fields.add("date_dtm"); fields.add(dtm);
}
if ( (j%STRING) != 0 ) {
fields.add("string_s"); fields.add(s);
fields.add("string_sm"); fields.add(s);
fields.add("string_sm"); fields.add(s + "_second");
}
addDoc(fields);
}
commitDocs();
}
static public final int INT = 7;
static public final int LONG = 2;
static public final int FLOAT = 6;
static public final int DOUBLE = 5;
static public final int DATE = 3;
static public final int STRING = 4;
static public final int NUM_LOOPS = 20;
@Test
public void pivotFacetTest() throws Exception {
String analyticsRequest = "{"
+ "\n 'groupings': { "
+ "\n 'grouping' : { "
+ "\n 'expressions' : { "
+ "\n 'mean' : 'mean(fill_missing(int_i,0))', "
+ "\n 'count' : 'count(long_lm)' "
+ "\n }, "
+ "\n 'facets' : { "
+ "\n 'pivoting' : { "
+ "\n 'type' : 'pivot', "
+ "\n 'pivots' : [ "
+ "\n { "
+ "\n 'name' : 'strings', "
+ "\n 'expression' : 'string_sm', "
+ "\n 'sort' : { "
+ "\n 'criteria' : [ "
+ "\n { "
+ "\n 'type' : 'expression', "
+ "\n 'expression' : 'mean', "
+ "\n 'direction' : 'ascending' "
+ "\n }, "
+ "\n { "
+ "\n 'type' : 'facetvalue', "
+ "\n 'direction' : 'descending' "
+ "\n } "
+ "\n ], "
+ "\n 'limit' : 3, "
+ "\n 'offset' : 1 "
+ "\n } "
+ "\n }, "
+ "\n { "
+ "\n 'name' : 'date', "
+ "\n 'expression' : 'fill_missing(date_dt, \\'No Date\\')', "
+ "\n 'sort' : { "
+ "\n 'criteria' : [ "
+ "\n { "
+ "\n 'type' : 'expression', "
+ "\n 'expression' : 'count', "
+ "\n 'direction' : 'ascending' "
+ "\n }, "
+ "\n { "
+ "\n 'type' : 'expression', "
+ "\n 'expression' : 'mean', "
+ "\n 'direction' : 'ascending' "
+ "\n } "
+ "\n ], "
+ "\n 'limit' : 2 "
+ "\n } "
+ "\n } "
+ "\n ] "
+ "\n } "
+ "\n } "
+ "\n } "
+ "\n } "
+ "\n} ";
String test = "groupings=={'grouping':{'pivoting':["
+ "\n { "
+ "\n 'pivot' : 'strings', "
+ "\n 'value' : 'str3', "
+ "\n 'results' : { "
+ "\n 'mean' : 2.6, "
+ "\n 'count' : 10 "
+ "\n }, "
+ "\n 'children' : [ "
+ "\n { "
+ "\n 'pivot' : 'date', "
+ "\n 'value' : '1802-12-31T23:59:59Z', "
+ "\n 'results' : { "
+ "\n 'mean' : 4.0, "
+ "\n 'count' : 2 "
+ "\n } "
+ "\n }, "
+ "\n { "
+ "\n 'pivot' : 'date', "
+ "\n 'value' : 'No Date', "
+ "\n 'results' : { "
+ "\n 'mean' : 2.0, "
+ "\n 'count' : 4 "
+ "\n } "
+ "\n } "
+ "\n ]"
+ "\n }, "
+ "\n { "
+ "\n 'pivot' : 'strings', "
+ "\n 'value' : 'str2_second', "
+ "\n 'results' : { "
+ "\n 'mean' : 3.0, "
+ "\n 'count' : 0 "
+ "\n }, "
+ "\n 'children' : [ "
+ "\n { "
+ "\n 'pivot' : 'date', "
+ "\n 'value' : '1802-12-31T23:59:59Z', "
+ "\n 'results' : { "
+ "\n 'mean' : 1.0, "
+ "\n 'count' : 0 "
+ "\n } "
+ "\n }, "
+ "\n { "
+ "\n 'pivot' : 'date', "
+ "\n 'value' : '1801-12-31T23:59:59Z', "
+ "\n 'results' : { "
+ "\n 'mean' : 3.0, "
+ "\n 'count' : 0 "
+ "\n } "
+ "\n } "
+ "\n ]"
+ "\n }, "
+ "\n { "
+ "\n 'pivot' : 'strings', "
+ "\n 'value' : 'str2', "
+ "\n 'results' : { "
+ "\n 'mean' : 3.0, "
+ "\n 'count' : 0 "
+ "\n }, "
+ "\n 'children' : [ "
+ "\n { "
+ "\n 'pivot' : 'date', "
+ "\n 'value' : '1802-12-31T23:59:59Z', "
+ "\n 'results' : { "
+ "\n 'mean' : 1.0, "
+ "\n 'count' : 0 "
+ "\n } "
+ "\n }, "
+ "\n { "
+ "\n 'pivot' : 'date', "
+ "\n 'value' : '1801-12-31T23:59:59Z', "
+ "\n 'results' : { "
+ "\n 'mean' : 3.0, "
+ "\n 'count' : 0 "
+ "\n } "
+ "\n } "
+ "\n ]"
+ "\n } "
+ "\n]}}";
testAnalytics(analyticsRequest, test);
}
}