/
VirtualCubeTest.java
1064 lines (1008 loc) · 48.3 KB
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VirtualCubeTest.java
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/*
// $Id$
// This software is subject to the terms of the Common Public License
// Agreement, available at the following URL:
// http://www.opensource.org/licenses/cpl.html.
// Copyright (C) 2003-2007 Julian Hyde
// All Rights Reserved.
// You must accept the terms of that agreement to use this software.
*/
package mondrian.rolap;
import mondrian.olap.*;
import mondrian.test.SqlPattern;
import mondrian.test.TestContext;
import java.util.List;
/**
* <code>VirtualCubeTest</code> shows virtual cube tests.
*
* @author remberson
* @since Feb 14, 2003
* @version $Id$
*/
public class VirtualCubeTest extends BatchTestCase {
public VirtualCubeTest() {
}
public VirtualCubeTest(String name) {
super(name);
}
/**
* This method demonstrates bug 1449929
*/
public void testNoTimeDimension() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs Warehouse\">\n" +
"<VirtualCubeDimension name=\"Product\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Warehouse Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Unit Sales]\"/>\n" +
"</VirtualCube>",
null, null, null);
checkXxx(testContext);
}
public void testCalculatedMeasureAsDefaultMeasureInVC() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs Warehouse\" defaultMeasure=\"Profit\">\n" +
"<VirtualCubeDimension name=\"Product\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Warehouse\" " +
"name=\"[Measures].[Warehouse Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Unit Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Profit]\"/>\n" +
"</VirtualCube>",
null, null, null);
String query1 = "select from [Sales vs Warehouse]";
String query2 = "select from [Sales vs Warehouse] where measures.profit";
assertQueriesReturnSimilarResults(query1,query2, testContext);
}
public void testDefaultMeasureInVCForIncorrectMeasureName() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs Warehouse\" defaultMeasure=\"Profit Error\">\n" +
"<VirtualCubeDimension name=\"Product\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Warehouse\" " +
"name=\"[Measures].[Warehouse Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Unit Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Profit]\"/>\n" +
"</VirtualCube>",
null, null, null);
String query1 = "select from [Sales vs Warehouse]";
String query2 = "select from [Sales vs Warehouse] " +
"where measures.[Warehouse Sales]";
assertQueriesReturnSimilarResults(query1,query2, testContext);
}
public void testDefaultMeasureInVCForCaseSensitivity() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs Warehouse\" defaultMeasure=\"PROFIT\">\n" +
"<VirtualCubeDimension name=\"Product\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Warehouse\" " +
"name=\"[Measures].[Warehouse Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Unit Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Profit]\"/>\n" +
"</VirtualCube>",
null, null, null);
String queryWithoutFilter = "select from [Sales vs Warehouse]";
String queryWithFirstMeasure = "select from [Sales vs Warehouse] " +
"where measures.[Warehouse Sales]";
String queryWithDefaultMeasureFilter = "select from [Sales vs Warehouse] " +
"where measures.[Profit]";
if (MondrianProperties.instance().CaseSensitive.get()) {
assertQueriesReturnSimilarResults(queryWithoutFilter,
queryWithFirstMeasure, testContext);
} else {
assertQueriesReturnSimilarResults(queryWithoutFilter,
queryWithDefaultMeasureFilter, testContext);
}
}
public void testWithTimeDimension() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs Warehouse\">\n" +
"<VirtualCubeDimension name=\"Time\"/>\n" +
"<VirtualCubeDimension name=\"Product\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Warehouse Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Unit Sales]\"/>\n" +
"</VirtualCube>",
null, null, null);
checkXxx(testContext);
}
private void checkXxx(TestContext testContext) {
// I do not know/believe that the return values are correct.
testContext.assertQueryReturns(
"select\n" +
"{ [Measures].[Warehouse Sales], [Measures].[Unit Sales] }\n" +
"ON COLUMNS,\n" +
"{[Product].[All Products]}\n" +
"ON ROWS\n" +
"from [Sales vs Warehouse]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Warehouse Sales]}\n" +
"{[Measures].[Unit Sales]}\n" +
"Axis #2:\n" +
"{[Product].[All Products]}\n" +
"Row #0: 196,770.888\n" +
"Row #0: 266,773\n"));
}
public void testCartesianJoin() {
// these examples caused cartesian joins to occur, a fix in SqlTupleReader
// was made and now these queries run normally.
TestContext testContext = createContextWithNonDefaultAllMember();
testContext.assertQueryReturns(
"select " +
"{ [measures].[store sales], [measures].[warehouse sales] } on 0, " +
"non empty { [product].[product family].members } on 1 " +
"from [warehouse and sales] " +
"where [store].[all stores].[usa].[or]",
fold(
"Axis #0:\n" +
"{[Store].[All Stores].[USA].[OR]}\n" +
"Axis #1:\n" +
"{[Measures].[Store Sales]}\n" +
"{[Measures].[Warehouse Sales]}\n" +
"Axis #2:\n" +
"{[Product].[All Products].[Drink]}\n" +
"{[Product].[All Products].[Food]}\n" +
"{[Product].[All Products].[Non-Consumable]}\n" +
"Row #0: 12,137.29\n" +
"Row #0: 3,986.32\n" +
"Row #1: 102,564.67\n" +
"Row #1: 26,496.483\n" +
"Row #2: 27,575.11\n" +
"Row #2: 8,352.25\n"));
testContext.assertQueryReturns(
"select " +
"{ [measures].[warehouse sales], [measures].[store sales] } on 0, " +
"non empty { [product].[product family].members } on 1 " +
"from [warehouse and sales] " +
"where [store].[all stores].[usa].[or]",
fold(
"Axis #0:\n" +
"{[Store].[All Stores].[USA].[OR]}\n" +
"Axis #1:\n" +
"{[Measures].[Warehouse Sales]}\n" +
"{[Measures].[Store Sales]}\n" +
"Axis #2:\n" +
"{[Product].[All Products].[Drink]}\n" +
"{[Product].[All Products].[Food]}\n" +
"{[Product].[All Products].[Non-Consumable]}\n" +
"Row #0: 3,986.32\n" +
"Row #0: 12,137.29\n" +
"Row #1: 26,496.483\n" +
"Row #1: 102,564.67\n" +
"Row #2: 8,352.25\n" +
"Row #2: 27,575.11\n"));
}
/**
* Query a virtual cube that contains a non-conforming dimension that
* does not have ALL as its default member.
*/
public void testNonDefaultAllMember() {
// Create a virtual cube with a non-conforming dimension (Warehouse)
// that does not have ALL as its default member.
TestContext testContext = createContextWithNonDefaultAllMember();
testContext.assertQueryReturns(
"select {[Warehouse].defaultMember} on columns, " +
"{[Measures].[Warehouse Cost]} on rows from [Warehouse (Default USA)]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Warehouse].[USA]}\n" +
"Axis #2:\n" +
"{[Measures].[Warehouse Cost]}\n" +
"Row #0: 89,043.253\n"));
// There is a value for [USA] -- because it is the default member and
// the hierarchy has no all member -- but not for [USA].[CA].
testContext.assertQueryReturns(
"select {[Warehouse].defaultMember, [Warehouse].[USA].[CA]} on columns, " +
"{[Measures].[Warehouse Cost], [Measures].[Sales Count]} on rows " +
"from [Warehouse (Default USA) and Sales]",
fold(
"Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Warehouse].[USA]}\n" +
"{[Warehouse].[USA].[CA]}\n" +
"Axis #2:\n" +
"{[Measures].[Warehouse Cost]}\n" +
"{[Measures].[Sales Count]}\n" +
"Row #0: 89,043.253\n" +
"Row #0: 25,789.086\n" +
"Row #1: 86,837\n" +
"Row #1: \n"));
}
public void testNonDefaultAllMember2() {
TestContext testContext = createContextWithNonDefaultAllMember();
testContext.assertQueryReturns(
"select { measures.[unit sales] } on 0 \n" +
"from [warehouse (Default USA) and Sales]",
fold(
"Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Unit Sales]}\n" +
"Row #0: 266,773\n"));
}
/**
* Creates a TestContext containing a cube
* "Warehouse (Default USA) and Sales".
*/
private TestContext createContextWithNonDefaultAllMember() {
return TestContext.create(
null,
// Warehouse cube where the default member in the Warehouse
// dimension is USA.
"<Cube name=\"Warehouse (Default USA)\">\n" +
" <Table name=\"inventory_fact_1997\"/>\n" +
"\n" +
" <DimensionUsage name=\"Time\" source=\"Time\" foreignKey=\"time_id\"/>\n" +
" <DimensionUsage name=\"Product\" source=\"Product\" foreignKey=\"product_id\"/>\n" +
" <DimensionUsage name=\"Store\" source=\"Store\" foreignKey=\"store_id\"/>\n" +
" <Dimension name=\"Warehouse\" foreignKey=\"warehouse_id\">\n" +
" <Hierarchy hasAll=\"false\" defaultMember=\"[USA]\" primaryKey=\"warehouse_id\"> \n" +
" <Table name=\"warehouse\"/>\n" +
" <Level name=\"Country\" column=\"warehouse_country\" uniqueMembers=\"true\"/>\n" +
" <Level name=\"State Province\" column=\"warehouse_state_province\"\n" +
" uniqueMembers=\"true\"/>\n" +
" <Level name=\"City\" column=\"warehouse_city\" uniqueMembers=\"false\"/>\n" +
" <Level name=\"Warehouse Name\" column=\"warehouse_name\" uniqueMembers=\"true\"/>\n" +
" </Hierarchy>\n" +
" </Dimension>\n" +
" <Measure name=\"Warehouse Cost\" column=\"warehouse_cost\" aggregator=\"sum\"/>\n" +
" <Measure name=\"Warehouse Sales\" column=\"warehouse_sales\" aggregator=\"sum\"/>\n" +
"</Cube>",
// Virtual cube based on [Warehouse (Default USA)]
"<VirtualCube name=\"Warehouse (Default USA) and Sales\">\n" +
" <VirtualCubeDimension name=\"Product\"/>\n" +
" <VirtualCubeDimension name=\"Store\"/>\n" +
" <VirtualCubeDimension name=\"Time\"/>\n" +
" <VirtualCubeDimension cubeName=\"Warehouse (Default USA)\" name=\"Warehouse\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales 2\" name=\"[Measures].[Sales Count]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales 2\" name=\"[Measures].[Store Cost]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales 2\" name=\"[Measures].[Store Sales]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales 2\" name=\"[Measures].[Unit Sales]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Store Invoice]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Supply Time]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Units Ordered]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Units Shipped]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Warehouse Cost]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Warehouse Sales]\"/>\n" +
"</VirtualCube>",
null, null, null);
}
public void testMemberVisibility() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Warehouse and Sales Member Visibility\">\n" +
" <VirtualCubeDimension cubeName=\"Sales\" name=\"Customers\"/>\n" +
" <VirtualCubeDimension name=\"Time\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Sales Count]\" visible=\"true\" />\n" +
" <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Store Cost]\" visible=\"false\" />\n" +
" <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Store Sales]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse\" name=\"[Measures].[Units Shipped]\" visible=\"false\" />\n" +
" <CalculatedMember name=\"Profit\" dimension=\"Measures\" visible=\"false\" >\n" +
" <Formula>[Measures].[Store Sales] - [Measures].[Store Cost]</Formula>\n" +
" </CalculatedMember>\n" +
"</VirtualCube>",
null, null, null);
Result result = testContext.executeQuery(
"select {[Measures].[Sales Count],\n" +
" [Measures].[Store Cost],\n" +
" [Measures].[Store Sales],\n" +
" [Measures].[Units Shipped],\n" +
" [Measures].[Profit]} on columns\n" +
"from [Warehouse and Sales Member Visibility]");
assertVisibility(result, 0, "Sales Count", true); // explicitly visible
assertVisibility(result, 1, "Store Cost", false); // explicitly invisible
assertVisibility(result, 2, "Store Sales", true); // visible by default
assertVisibility(result, 3, "Units Shipped", false); // explicitly invisible
assertVisibility(result, 4, "Profit", false); // explicitly invisible
}
private void assertVisibility(
Result result, int ordinal, String expectedName,
boolean expectedVisibility)
{
List<Position> columnPositions = result.getAxes()[0].getPositions();
Member measure = columnPositions.get(ordinal).get(0);
assertEquals(expectedName, measure.getName());
assertEquals(
Boolean.valueOf(expectedVisibility),
measure.getPropertyValue(Property.VISIBLE.name));
}
/**
* Test an expression for the format_string of a calculated member that
* evaluates calculated members based on a virtual cube. One cube has cache
* turned on, the other cache turned off.
*
* <p>Since evaluation of the format_string used to happen after the
* aggregate cache was cleared, this used to fail, this should be solved
* with the caching of the format string.
*
* <p>Without caching of format string, the query returns green for all
* styles.
*/
public void testFormatStringExpressionCubeNoCache() {
TestContext testContext = TestContext.create(
null, null,
"<Cube name=\"Warehouse No Cache\" cache=\"false\">\n" +
" <Table name=\"inventory_fact_1997\"/>\n" +
"\n" +
" <DimensionUsage name=\"Time\" source=\"Time\" foreignKey=\"time_id\"/>\n" +
" <DimensionUsage name=\"Store\" source=\"Store\" foreignKey=\"store_id\"/>\n" +
" <Measure name=\"Units Shipped\" column=\"units_shipped\" aggregator=\"sum\" formatString=\"#.0\"/>\n" +
"</Cube>\n" +
"<VirtualCube name=\"Warehouse and Sales Format Expression Cube No Cache\">\n" +
" <VirtualCubeDimension name=\"Store\"/>\n" +
" <VirtualCubeDimension name=\"Time\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Store Cost]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Store Sales]\"/>\n" +
" <VirtualCubeMeasure cubeName=\"Warehouse No Cache\" name=\"[Measures].[Units Shipped]\"/>\n" +
" <CalculatedMember name=\"Profit\" dimension=\"Measures\">\n" +
" <Formula>[Measures].[Store Sales] - [Measures].[Store Cost]</Formula>\n" +
" </CalculatedMember>\n" +
" <CalculatedMember name=\"Profit Per Unit Shipped\" dimension=\"Measures\">\n" +
" <Formula>[Measures].[Profit] / [Measures].[Units Shipped]</Formula>\n" +
" <CalculatedMemberProperty name=\"FORMAT_STRING\" expression=\"IIf(([Measures].[Profit Per Unit Shipped] > 2.0), '|0.#|style=green', '|0.#|style=red')\"/>\n" +
" </CalculatedMember>\n" +
"</VirtualCube>",
null, null, null);
testContext.assertQueryReturns(
"select {[Measures].[Profit Per Unit Shipped]} ON COLUMNS, " +
"{[Store].[All Stores].[USA].[CA], [Store].[All Stores].[USA].[OR], [Store].[All Stores].[USA].[WA]} ON ROWS " +
"from [Warehouse and Sales Format Expression Cube No Cache] " +
"where [Time].[1997]",
fold(
"Axis #0:\n" +
"{[Time].[1997]}\n" +
"Axis #1:\n" +
"{[Measures].[Profit Per Unit Shipped]}\n" +
"Axis #2:\n" +
"{[Store].[All Stores].[USA].[CA]}\n" +
"{[Store].[All Stores].[USA].[OR]}\n" +
"{[Store].[All Stores].[USA].[WA]}\n" +
"Row #0: |1.6|style=red\n" +
"Row #1: |2.1|style=green\n" +
"Row #2: |1.5|style=red\n"));
}
public void testCalculatedMeasure()
{
// calculated measures reference measures defined in the base cube
assertQueryReturns(
"select\n" +
"{[Measures].[Profit Growth], " +
"[Measures].[Profit], " +
"[Measures].[Average Warehouse Sale] }\n" +
"ON COLUMNS\n" +
"from [Warehouse and Sales]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Profit Growth]}\n" +
"{[Measures].[Profit]}\n" +
"{[Measures].[Average Warehouse Sale]}\n" +
"Row #0: 0.0%\n" +
"Row #0: $339,610.90\n" +
"Row #0: $2.21\n"));
}
public void testLostData()
{
assertQueryReturns(
"select {[Time].Members} on columns,\n" +
" {[Product].Children} on rows\n" +
"from [Sales]",
fold(
"Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Time].[1997]}\n" +
"{[Time].[1997].[Q1]}\n" +
"{[Time].[1997].[Q1].[1]}\n" +
"{[Time].[1997].[Q1].[2]}\n" +
"{[Time].[1997].[Q1].[3]}\n" +
"{[Time].[1997].[Q2]}\n" +
"{[Time].[1997].[Q2].[4]}\n" +
"{[Time].[1997].[Q2].[5]}\n" +
"{[Time].[1997].[Q2].[6]}\n" +
"{[Time].[1997].[Q3]}\n" +
"{[Time].[1997].[Q3].[7]}\n" +
"{[Time].[1997].[Q3].[8]}\n" +
"{[Time].[1997].[Q3].[9]}\n" +
"{[Time].[1997].[Q4]}\n" +
"{[Time].[1997].[Q4].[10]}\n" +
"{[Time].[1997].[Q4].[11]}\n" +
"{[Time].[1997].[Q4].[12]}\n" +
"{[Time].[1998]}\n" +
"{[Time].[1998].[Q1]}\n" +
"{[Time].[1998].[Q1].[1]}\n" +
"{[Time].[1998].[Q1].[2]}\n" +
"{[Time].[1998].[Q1].[3]}\n" +
"{[Time].[1998].[Q2]}\n" +
"{[Time].[1998].[Q2].[4]}\n" +
"{[Time].[1998].[Q2].[5]}\n" +
"{[Time].[1998].[Q2].[6]}\n" +
"{[Time].[1998].[Q3]}\n" +
"{[Time].[1998].[Q3].[7]}\n" +
"{[Time].[1998].[Q3].[8]}\n" +
"{[Time].[1998].[Q3].[9]}\n" +
"{[Time].[1998].[Q4]}\n" +
"{[Time].[1998].[Q4].[10]}\n" +
"{[Time].[1998].[Q4].[11]}\n" +
"{[Time].[1998].[Q4].[12]}\n" +
"Axis #2:\n" +
"{[Product].[All Products].[Drink]}\n" +
"{[Product].[All Products].[Food]}\n" +
"{[Product].[All Products].[Non-Consumable]}\n" +
"Row #0: 24,597\n" +
"Row #0: 5,976\n" +
"Row #0: 1,910\n" +
"Row #0: 1,951\n" +
"Row #0: 2,115\n" +
"Row #0: 5,895\n" +
"Row #0: 1,948\n" +
"Row #0: 2,039\n" +
"Row #0: 1,908\n" +
"Row #0: 6,065\n" +
"Row #0: 2,205\n" +
"Row #0: 1,921\n" +
"Row #0: 1,939\n" +
"Row #0: 6,661\n" +
"Row #0: 1,898\n" +
"Row #0: 2,344\n" +
"Row #0: 2,419\n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #0: \n" +
"Row #1: 191,940\n" +
"Row #1: 47,809\n" +
"Row #1: 15,604\n" +
"Row #1: 15,142\n" +
"Row #1: 17,063\n" +
"Row #1: 44,825\n" +
"Row #1: 14,393\n" +
"Row #1: 15,055\n" +
"Row #1: 15,377\n" +
"Row #1: 47,440\n" +
"Row #1: 17,036\n" +
"Row #1: 15,741\n" +
"Row #1: 14,663\n" +
"Row #1: 51,866\n" +
"Row #1: 14,232\n" +
"Row #1: 18,278\n" +
"Row #1: 19,356\n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #1: \n" +
"Row #2: 50,236\n" +
"Row #2: 12,506\n" +
"Row #2: 4,114\n" +
"Row #2: 3,864\n" +
"Row #2: 4,528\n" +
"Row #2: 11,890\n" +
"Row #2: 3,838\n" +
"Row #2: 3,987\n" +
"Row #2: 4,065\n" +
"Row #2: 12,343\n" +
"Row #2: 4,522\n" +
"Row #2: 4,035\n" +
"Row #2: 3,786\n" +
"Row #2: 13,497\n" +
"Row #2: 3,828\n" +
"Row #2: 4,648\n" +
"Row #2: 5,021\n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n" +
"Row #2: \n"));
assertQueryReturns(
"select\n" +
" {[Measures].[Unit Sales]} on 0,\n" +
" {[Product].Children} on 1\n" +
"from [Warehouse and Sales]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Unit Sales]}\n" +
"Axis #2:\n" +
"{[Product].[All Products].[Drink]}\n" +
"{[Product].[All Products].[Food]}\n" +
"{[Product].[All Products].[Non-Consumable]}\n" +
"Row #0: 24,597\n" +
"Row #1: 191,940\n" +
"Row #2: 50,236\n"));
}
/**
* Tests a calc measure which combines a measures from the Sales cube with a
* measures from the Warehouse cube.
*/
public void testCalculatedMeasureAcrossCubes()
{
assertQueryReturns(
"with member [Measures].[Shipped per Ordered] as ' [Measures].[Units Shipped] / [Measures].[Unit Sales] ', format_string='#.00%'\n" +
" member [Measures].[Profit per Unit Shipped] as ' [Measures].[Profit] / [Measures].[Units Shipped] '\n" +
"select\n" +
" {[Measures].[Unit Sales], \n" +
" [Measures].[Units Shipped],\n" +
" [Measures].[Shipped per Ordered],\n" +
" [Measures].[Profit per Unit Shipped]} on 0,\n" +
" NON EMPTY Crossjoin([Product].Children, [Time].[1997].Children) on 1\n" +
"from [Warehouse and Sales]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Unit Sales]}\n" +
"{[Measures].[Units Shipped]}\n" +
"{[Measures].[Shipped per Ordered]}\n" +
"{[Measures].[Profit per Unit Shipped]}\n" +
"Axis #2:\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q1]}\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q2]}\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q3]}\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q4]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q1]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q2]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q3]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q4]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q1]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q2]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q3]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q4]}\n" +
"Row #0: 5,976\n" +
"Row #0: 4637.0\n" +
"Row #0: 77.59%\n" +
"Row #0: $1.50\n" +
"Row #1: 5,895\n" +
"Row #1: 4501.0\n" +
"Row #1: 76.35%\n" +
"Row #1: $1.60\n" +
"Row #2: 6,065\n" +
"Row #2: 6258.0\n" +
"Row #2: 103.18%\n" +
"Row #2: $1.15\n" +
"Row #3: 6,661\n" +
"Row #3: 5802.0\n" +
"Row #3: 87.10%\n" +
"Row #3: $1.38\n" +
"Row #4: 47,809\n" +
"Row #4: 37153.0\n" +
"Row #4: 77.71%\n" +
"Row #4: $1.64\n" +
"Row #5: 44,825\n" +
"Row #5: 35459.0\n" +
"Row #5: 79.11%\n" +
"Row #5: $1.62\n" +
"Row #6: 47,440\n" +
"Row #6: 41545.0\n" +
"Row #6: 87.57%\n" +
"Row #6: $1.47\n" +
"Row #7: 51,866\n" +
"Row #7: 34706.0\n" +
"Row #7: 66.91%\n" +
"Row #7: $1.91\n" +
"Row #8: 12,506\n" +
"Row #8: 9161.0\n" +
"Row #8: 73.25%\n" +
"Row #8: $1.76\n" +
"Row #9: 11,890\n" +
"Row #9: 9227.0\n" +
"Row #9: 77.60%\n" +
"Row #9: $1.65\n" +
"Row #10: 12,343\n" +
"Row #10: 9986.0\n" +
"Row #10: 80.90%\n" +
"Row #10: $1.59\n" +
"Row #11: 13,497\n" +
"Row #11: 9291.0\n" +
"Row #11: 68.84%\n" +
"Row #11: $1.86\n"));
}
/**
* Tests a calc member defined in the cube.
*/
public void testCalculatedMemberInSchema() {
TestContext testContext =
TestContext.createSubstitutingCube(
"Warehouse and Sales",
null,
" <CalculatedMember name=\"Shipped per Ordered\" dimension=\"Measures\">\n" +
" <Formula>[Measures].[Units Shipped] / [Measures].[Unit Sales]</Formula>\n" +
" <CalculatedMemberProperty name=\"FORMAT_STRING\" value=\"#.0%\"/>\n" +
" </CalculatedMember>\n");
testContext.assertQueryReturns(
"select\n" +
" {[Measures].[Unit Sales], \n" +
" [Measures].[Shipped per Ordered]} on 0,\n" +
" NON EMPTY Crossjoin([Product].Children, [Time].[1997].Children) on 1\n" +
"from [Warehouse and Sales]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Unit Sales]}\n" +
"{[Measures].[Shipped per Ordered]}\n" +
"Axis #2:\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q1]}\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q2]}\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q3]}\n" +
"{[Product].[All Products].[Drink], [Time].[1997].[Q4]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q1]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q2]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q3]}\n" +
"{[Product].[All Products].[Food], [Time].[1997].[Q4]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q1]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q2]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q3]}\n" +
"{[Product].[All Products].[Non-Consumable], [Time].[1997].[Q4]}\n" +
"Row #0: 5,976\n" +
"Row #0: 77.6%\n" +
"Row #1: 5,895\n" +
"Row #1: 76.4%\n" +
"Row #2: 6,065\n" +
"Row #2: 103.2%\n" +
"Row #3: 6,661\n" +
"Row #3: 87.1%\n" +
"Row #4: 47,809\n" +
"Row #4: 77.7%\n" +
"Row #5: 44,825\n" +
"Row #5: 79.1%\n" +
"Row #6: 47,440\n" +
"Row #6: 87.6%\n" +
"Row #7: 51,866\n" +
"Row #7: 66.9%\n" +
"Row #8: 12,506\n" +
"Row #8: 73.3%\n" +
"Row #9: 11,890\n" +
"Row #9: 77.6%\n" +
"Row #10: 12,343\n" +
"Row #10: 80.9%\n" +
"Row #11: 13,497\n" +
"Row #11: 68.8%\n"));
}
public void testAllMeasureMembers()
{
// result should exclude measures that are not explicitly defined
// in the virtual cube (e.g., [Profit last Period])
assertQueryReturns(
"select\n" +
"{[Measures].allMembers} on columns\n" +
"from [Warehouse and Sales]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Sales Count]}\n" +
"{[Measures].[Store Cost]}\n" +
"{[Measures].[Store Sales]}\n" +
"{[Measures].[Unit Sales]}\n" +
"{[Measures].[Store Invoice]}\n" +
"{[Measures].[Supply Time]}\n" +
"{[Measures].[Units Ordered]}\n" +
"{[Measures].[Units Shipped]}\n" +
"{[Measures].[Warehouse Cost]}\n" +
"{[Measures].[Warehouse Profit]}\n" +
"{[Measures].[Warehouse Sales]}\n" +
"{[Measures].[Profit]}\n" +
"{[Measures].[Profit Growth]}\n" +
"{[Measures].[Average Warehouse Sale]}\n" +
"{[Measures].[Profit Per Unit Shipped]}\n" +
"Row #0: 86,837\n" +
"Row #0: 225,627.23\n" +
"Row #0: 565,238.13\n" +
"Row #0: 266,773\n" +
"Row #0: 102,278.409\n" +
"Row #0: 10,425\n" +
"Row #0: 227238.0\n" +
"Row #0: 207726.0\n" +
"Row #0: 89,043.253\n" +
"Row #0: 107,727.635\n" +
"Row #0: 196,770.888\n" +
"Row #0: $339,610.90\n" +
"Row #0: 0.0%\n" +
"Row #0: $2.21\n" +
"Row #0: $1.63\n"));
}
/**
* Test a virtual cube where one of the dimensions contains an
* ordinalColumn property
*/
public void testOrdinalColumn()
{
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs HR\">\n" +
"<VirtualCubeDimension name=\"Store\"/>\n" +
"<VirtualCubeDimension cubeName=\"HR\" name=\"Position\"/>\n" +
"<VirtualCubeMeasure cubeName=\"HR\" name=\"[Measures].[Org Salary]\"/>\n" +
"</VirtualCube>",
null, null, null);
testContext.assertQueryReturns(
"select {[Measures].[Org Salary]} on columns, " +
"non empty " +
"crossjoin([Store].[Store Country].members, [Position].[Store Management].children) " +
"on rows from [Sales vs HR]",
fold(
"Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[Org Salary]}\n" +
"Axis #2:\n" +
"{[Store].[All Stores].[Canada], [Position].[All Position].[Store Management].[Store Manager]}\n" +
"{[Store].[All Stores].[Canada], [Position].[All Position].[Store Management].[Store Assistant Manager]}\n" +
"{[Store].[All Stores].[Canada], [Position].[All Position].[Store Management].[Store Shift Supervisor]}\n" +
"{[Store].[All Stores].[Mexico], [Position].[All Position].[Store Management].[Store Manager]}\n" +
"{[Store].[All Stores].[Mexico], [Position].[All Position].[Store Management].[Store Assistant Manager]}\n" +
"{[Store].[All Stores].[Mexico], [Position].[All Position].[Store Management].[Store Shift Supervisor]}\n" +
"{[Store].[All Stores].[USA], [Position].[All Position].[Store Management].[Store Manager]}\n" +
"{[Store].[All Stores].[USA], [Position].[All Position].[Store Management].[Store Assistant Manager]}\n" +
"{[Store].[All Stores].[USA], [Position].[All Position].[Store Management].[Store Shift Supervisor]}\n" +
"Row #0: $462.86\n" +
"Row #1: $394.29\n" +
"Row #2: $565.71\n" +
"Row #3: $13,254.55\n" +
"Row #4: $11,443.64\n" +
"Row #5: $17,705.46\n" +
"Row #6: $4,069.80\n" +
"Row #7: $3,417.72\n" +
"Row #8: $5,145.96\n"));
}
public void testDefaultMeasureProperty() {
TestContext testContext = TestContext.create(
null, null,
"<VirtualCube name=\"Sales vs Warehouse\" defaultMeasure=\"Unit Sales\">\n" +
"<VirtualCubeDimension name=\"Product\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Warehouse\" " +
"name=\"[Measures].[Warehouse Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Unit Sales]\"/>\n" +
"<VirtualCubeMeasure cubeName=\"Sales\" " +
"name=\"[Measures].[Profit]\"/>\n" +
"</VirtualCube>",
null, null, null);
String queryWithoutFilter = "select"+
" from [Sales vs Warehouse]";
String queryWithDeflaultMeasureFilter = "select "+
"from [Sales vs Warehouse] where measures.[Unit Sales]";
assertQueriesReturnSimilarResults(queryWithoutFilter,
queryWithDeflaultMeasureFilter, testContext);
}
/**
* Checks that native set caching considers base cubes in the cache key.
* Native sets referencing different base cubes do not share the cached result.
*/
public void testNativeSetCaching() {
/*
* Only need to run this against one db to verify caching
* behavior is correct.
*/
if (!getTestContext().getDialect().isDerby()) {
return;
}
if (!MondrianProperties.instance().EnableNativeCrossJoin.get() &&
!MondrianProperties.instance().EnableNativeNonEmpty.get()) {
// Only run the tests if either native CrossJoin or native NonEmpty
// is enabled.
return;
}
String query1 =
"With " +
"Set [*NATIVE_CJ_SET] as 'NonEmptyCrossJoin([Product].[Product Family].Members, [Store].[Store Country].Members)' " +
"Select " +
"{[Store Sales]} on columns, " +
"Non Empty Generate([*NATIVE_CJ_SET], {([Product].CurrentMember,[Store].CurrentMember)}) on rows " +
"From [Warehouse and Sales]";
String query2 =
"With " +
"Set [*NATIVE_CJ_SET] as 'NonEmptyCrossJoin([Product].[Product Family].Members, [Store].[Store Country].Members)' " +
"Select " +
"{[Warehouse Sales]} on columns, " +
"Non Empty Generate([*NATIVE_CJ_SET], {([Product].CurrentMember,[Store].CurrentMember)}) on rows " +
"From [Warehouse and Sales]";
String derbyNecjSql1, derbyNecjSql2;
if (MondrianProperties.instance().EnableNativeCrossJoin.get()) {
derbyNecjSql1 =
"select " +
"\"product_class\".\"product_family\", " +
"\"store\".\"store_country\" " +
"from " +
"\"product\" as \"product\", " +
"\"product_class\" as \"product_class\", " +
"\"sales_fact_1997\" as \"sales_fact_1997\", " +
"\"store\" as \"store\" " +
"where " +
"\"product\".\"product_class_id\" = \"product_class\".\"product_class_id\" " +
"and \"sales_fact_1997\".\"product_id\" = \"product\".\"product_id\" " +
"and \"sales_fact_1997\".\"store_id\" = \"store\".\"store_id\" " +
"group by \"product_class\".\"product_family\", \"store\".\"store_country\" " +
"order by 1 ASC, 2 ASC";
derbyNecjSql2 =
"select " +
"\"product_class\".\"product_family\", " +
"\"store\".\"store_country\" " +
"from " +
"\"product\" as \"product\", " +
"\"product_class\" as \"product_class\", " +
"\"inventory_fact_1997\" as \"inventory_fact_1997\", " +
"\"store\" as \"store\" " +
"where " +
"\"product\".\"product_class_id\" = \"product_class\".\"product_class_id\" " +
"and \"inventory_fact_1997\".\"product_id\" = \"product\".\"product_id\" " +
"and \"inventory_fact_1997\".\"store_id\" = \"store\".\"store_id\" " +
"group by \"product_class\".\"product_family\", \"store\".\"store_country\" " +
"order by 1 ASC, 2 ASC";
} else {
// NECJ is truend off so native NECJ SQL will not be generated;
// however, because the NECJ set should not find match in the cache,
// each NECJ input will still be joined with the correct
// fact table if NonEmpty condition is natively evaluated.
derbyNecjSql1 =
"select " +
"\"store\".\"store_country\" " +
"from " +
"\"store\" as \"store\", " +
"\"sales_fact_1997\" as \"sales_fact_1997\" " +
"where " +
"\"sales_fact_1997\".\"store_id\" = \"store\".\"store_id\" " +
"group by \"store\".\"store_country\" " +
"order by 1 ASC";
derbyNecjSql2 =
"select " +
"\"store\".\"store_country\" " +
"from " +
"\"store\" as \"store\", " +
"\"inventory_fact_1997\" as \"inventory_fact_1997\" " +
"where " +
"\"inventory_fact_1997\".\"store_id\" = \"store\".\"store_id\" " +
"group by \"store\".\"store_country\" " +
"order by 1 ASC";
}
SqlPattern[] patterns1 =
new SqlPattern[] {
new SqlPattern(SqlPattern.Dialect.DERBY, derbyNecjSql1, derbyNecjSql1)
};
SqlPattern[] patterns2 =
new SqlPattern[] {
new SqlPattern(SqlPattern.Dialect.DERBY, derbyNecjSql2, derbyNecjSql2)
};
// Run query 1 with cleared cache;
// Make sure NECJ 1 is evaluated natively.
assertQuerySql(query1, patterns1, true);
// Now run query 2 with warm cache;
// Make sure NECJ 2 does not reuse the cache result from NECJ 1, and
// NECJ 2 is evaluated natively.
assertQuerySql(query2, patterns2, false);
}
/**
* Test for bug 1778358, "cube.getStar() throws NullPointerException".
* Happens when you aggregate distinct-count measures in a virtual cube.
*/
public void testBug1778358() {
final TestContext testContext =
TestContext.create(null, null,
"<VirtualCube name=\"Warehouse and Sales2\" defaultMeasure=\"Store Sales\">\n"
+ " <VirtualCubeDimension cubeName=\"Sales\" name=\"Customers\"/>\n"
+ " <VirtualCubeDimension name=\"Time\"/>\n"
+ " <VirtualCubeDimension cubeName=\"Warehouse\" name=\"Warehouse\"/>\n"
+ " <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Customer Count]\"/>\n"
+ " <VirtualCubeMeasure cubeName=\"Sales\" name=\"[Measures].[Store Sales]\"/>\n"
+ "</VirtualCube>",
null, null, null);
/*
* This test case does not actually reject the dimension constraint from an
* unrelated base cube. The reason is that the constraint contains an AllLevel
* member. Even though semantically constraining Cells using an non-existent
* dimension perhaps does not make sense; however, in the case where the constraint
* contains AllLevel member, the constraint can be considered "always true".
*
* See the next test case for a constraint that does not contain AllLevel member
* and hence cannot be satisfied. The cell should be empty.
*/
testContext.assertQueryReturns(
"with member [Warehouse].[x] as 'Aggregate([Warehouse].members)'\n"
+ "member [Measures].[foo] AS '([Warehouse].[x],[Measures].[Customer Count])'\n"
+ "select {[Measures].[foo]} on 0 from [Warehouse And Sales2]",
fold("Axis #0:\n" +
"{}\n" +
"Axis #1:\n" +
"{[Measures].[foo]}\n" +