use of mondrian.test.TestContext in project mondrian by pentaho.
the class TestAggregationManager method testVirtualCubeAggBugMondrian1221.
/**
* This is a test for
* <a href="http://jira.pentaho.com/browse/MONDRIAN-1221">MONDRIAN-1221</a>
*
* When performing a non-empty crossjoin over a virtual cube with agg
* tables, there was no match with any agg tables.
*/
public void testVirtualCubeAggBugMondrian1221() {
propSaver.set(MondrianProperties.instance().UseAggregates, true);
propSaver.set(MondrianProperties.instance().ReadAggregates, true);
propSaver.set(propSaver.properties.GenerateFormattedSql, true);
final String schema = "<?xml version=\"1.0\"?>\n" + "<Schema name=\"custom\">\n" + " <Dimension name=\"Store\">\n" + " <Hierarchy hasAll=\"true\" primaryKey=\"store_id\">\n" + " <Table name=\"store\"/>\n" + " <Level name=\"Store Country\" column=\"store_country\" uniqueMembers=\"true\"/>\n" + " <Level name=\"Store State\" column=\"store_state\" uniqueMembers=\"true\"/>\n" + " <Level name=\"Store City\" column=\"store_city\" uniqueMembers=\"false\"/>\n" + " <Level name=\"Store Name\" column=\"store_name\" uniqueMembers=\"true\">\n" + " </Level>\n" + " </Hierarchy>\n" + " </Dimension>\n" + " <Dimension name=\"Time\" type=\"TimeDimension\">\n" + " <Hierarchy hasAll=\"false\" primaryKey=\"time_id\">\n" + " <Table name=\"time_by_day\"/>\n" + " <Level name=\"Year\" column=\"the_year\" type=\"Numeric\" uniqueMembers=\"true\"\n" + " levelType=\"TimeYears\"/>\n" + " <Level name=\"Quarter\" column=\"quarter\" uniqueMembers=\"false\"\n" + " levelType=\"TimeQuarters\"/>\n" + " <Level name=\"Month\" column=\"month_of_year\" uniqueMembers=\"false\" type=\"Numeric\"\n" + " levelType=\"TimeMonths\"/>\n" + " </Hierarchy>\n" + " <Hierarchy hasAll=\"true\" name=\"Weekly\" primaryKey=\"time_id\">\n" + " <Table name=\"time_by_day\"/>\n" + " <Level name=\"Year\" column=\"the_year\" type=\"Numeric\" uniqueMembers=\"true\"\n" + " levelType=\"TimeYears\"/>\n" + " <Level name=\"Week\" column=\"week_of_year\" type=\"Numeric\" uniqueMembers=\"false\"\n" + " levelType=\"TimeWeeks\"/>\n" + " <Level name=\"Day\" column=\"day_of_month\" uniqueMembers=\"false\" type=\"Numeric\"\n" + " levelType=\"TimeDays\"/>\n" + " </Hierarchy>\n" + " </Dimension>\n" + " <Cube name=\"Sales1\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\">\n" + " <AggName name=\"agg_c_special_sales_fact_1997\">\n" + " <AggFactCount column=\"FACT_COUNT\"/>\n" + " <AggIgnoreColumn column=\"foo\"/>\n" + " <AggIgnoreColumn column=\"bar\"/>\n" + " <AggIgnoreColumn column=\"PRODUCT_ID\" />\n" + " <AggIgnoreColumn column=\"CUSTOMER_ID\" />\n" + " <AggIgnoreColumn column=\"PROMOTION_ID\" />\n" + " <AggForeignKey factColumn=\"store_id\" aggColumn=\"STORE_ID\" />\n" + " <AggMeasure name=\"[Measures].[Unit Sales]\" column=\"UNIT_SALES_SUM\" />\n" + " <AggMeasure name=\"[Measures].[Store Cost]\" column=\"STORE_COST_SUM\" />\n" + " <AggMeasure name=\"[Measures].[Store Sales]\" column=\"STORE_SALES_SUM\" />\n" + " <AggLevel name=\"[Time].[Year]\" column=\"TIME_YEAR\" />\n" + " <AggLevel name=\"[Time].[Quarter]\" column=\"TIME_QUARTER\" />\n" + " <AggLevel name=\"[Time].[Month]\" column=\"TIME_MONTH\" />\n" + " </AggName>\n" + " </Table>\n" + " <DimensionUsage name=\"Store\" source=\"Store\" foreignKey=\"store_id\"/>\n" + " <DimensionUsage name=\"Time\" source=\"Time\" foreignKey=\"time_id\"/>\n" + " <Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\"\n" + " formatString=\"Standard\"/>\n" + " <Measure name=\"Store Cost\" column=\"store_cost\" aggregator=\"sum\"\n" + " formatString=\"#,###.00\"/>\n" + " <Measure name=\"Store Sales\" column=\"store_sales\" aggregator=\"sum\"\n" + " formatString=\"#,###.00\"/>\n" + " </Cube>\n" + " <Cube name=\"Sales2\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\">\n" + " <AggName name=\"agg_c_special_sales_fact_1997\">\n" + " <AggFactCount column=\"FACT_COUNT\"/>\n" + " <AggIgnoreColumn column=\"foo\"/>\n" + " <AggIgnoreColumn column=\"bar\"/>\n" + " <AggIgnoreColumn column=\"PRODUCT_ID\" />\n" + " <AggIgnoreColumn column=\"CUSTOMER_ID\" />\n" + " <AggIgnoreColumn column=\"PROMOTION_ID\" />\n" + " <AggForeignKey factColumn=\"store_id\" aggColumn=\"STORE_ID\" />\n" + " <AggMeasure name=\"[Measures].[Unit Sales]\" column=\"UNIT_SALES_SUM\" />\n" + " <AggMeasure name=\"[Measures].[Store Cost]\" column=\"STORE_COST_SUM\" />\n" + " <AggMeasure name=\"[Measures].[Store Sales]\" column=\"STORE_SALES_SUM\" />\n" + " <AggLevel name=\"[Time].[Year]\" column=\"TIME_YEAR\" />\n" + " <AggLevel name=\"[Time].[Quarter]\" column=\"TIME_QUARTER\" />\n" + " <AggLevel name=\"[Time].[Month]\" column=\"TIME_MONTH\" />\n" + " </AggName>\n" + " </Table>\n" + " <DimensionUsage name=\"Store\" source=\"Store\" foreignKey=\"store_id\"/>\n" + " <DimensionUsage name=\"Time\" source=\"Time\" foreignKey=\"time_id\"/>\n" + " <Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\"\n" + " formatString=\"Standard\"/>\n" + " <Measure name=\"Store Cost\" column=\"store_cost\" aggregator=\"sum\"\n" + " formatString=\"#,###.00\"/>\n" + " <Measure name=\"Store Sales\" column=\"store_sales\" aggregator=\"sum\"\n" + " formatString=\"#,###.00\"/>\n" + " </Cube>\n" + " <VirtualCube name=\"SuperSales\" defaultMeasure=\"Unit Sales\">\n" + " <VirtualCubeDimension cubeName=\"Sales1\" name=\"Store\"/>\n" + " <VirtualCubeDimension cubeName=\"Sales1\" name=\"Time\"/>\n" + " <VirtualCubeMeasure cubeName=\"Sales2\" name=\"[Measures].[Unit Sales]\"/>\n" + " <VirtualCubeMeasure cubeName=\"Sales2\" name=\"[Measures].[Store Cost]\"/>\n" + " <VirtualCubeMeasure cubeName=\"Sales2\" name=\"[Measures].[Store Sales]\"/>\n" + " </VirtualCube>\n" + "</Schema>\n";
final String mdx = "select {NonEmptyCrossJoin([Time].[Month].Members, [Store].[Store Country].Members)} on rows," + "{[Measures].[Unit Sales]} on columns " + "from [SuperSales]";
final TestContext context = TestContext.instance().withSchema(schema);
if (MondrianProperties.instance().EnableNativeCrossJoin.get()) {
final String sqlMysql = "select\n" + " `agg_c_14_sales_fact_1997`.`the_year` as `c0`,\n" + " `agg_c_14_sales_fact_1997`.`quarter` as `c1`,\n" + " `agg_c_14_sales_fact_1997`.`month_of_year` as `c2`,\n" + " `store`.`store_country` as `c3`\n" + "from\n" + " `agg_c_14_sales_fact_1997` as `agg_c_14_sales_fact_1997`,\n" + " `store` as `store`\n" + "where\n" + " `agg_c_14_sales_fact_1997`.`store_id` = `store`.`store_id`\n" + "group by\n" + " `agg_c_14_sales_fact_1997`.`the_year`,\n" + " `agg_c_14_sales_fact_1997`.`quarter`,\n" + " `agg_c_14_sales_fact_1997`.`month_of_year`,\n" + " `store`.`store_country`\n" + "order by\n" + (TestContext.instance().getDialect().requiresOrderByAlias() ? " ISNULL(`c0`) ASC, `c0` ASC,\n" + " ISNULL(`c1`) ASC, `c1` ASC,\n" + " ISNULL(`c2`) ASC, `c2` ASC,\n" + " ISNULL(`c3`) ASC, `c3` ASC" : " ISNULL(`agg_c_14_sales_fact_1997`.`the_year`) ASC, `agg_c_14_sales_fact_1997`.`the_year` ASC,\n" + " ISNULL(`agg_c_14_sales_fact_1997`.`quarter`) ASC, `agg_c_14_sales_fact_1997`.`quarter` ASC,\n" + " ISNULL(`agg_c_14_sales_fact_1997`.`month_of_year`) ASC, `agg_c_14_sales_fact_1997`.`month_of_year` ASC,\n" + " ISNULL(`store`.`store_country`) ASC, `store`.`store_country` ASC");
assertQuerySqlOrNot(context, mdx, new SqlPattern[] { new SqlPattern(Dialect.DatabaseProduct.MYSQL, sqlMysql, sqlMysql.length()) }, false, false, true);
}
context.assertQueryReturns(mdx, "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Measures].[Unit Sales]}\n" + "Axis #2:\n" + "{[Time].[1997].[Q1].[1], [Store].[USA]}\n" + "{[Time].[1997].[Q1].[2], [Store].[USA]}\n" + "{[Time].[1997].[Q1].[3], [Store].[USA]}\n" + "{[Time].[1997].[Q2].[4], [Store].[USA]}\n" + "{[Time].[1997].[Q2].[5], [Store].[USA]}\n" + "{[Time].[1997].[Q2].[6], [Store].[USA]}\n" + "{[Time].[1997].[Q3].[7], [Store].[USA]}\n" + "{[Time].[1997].[Q3].[8], [Store].[USA]}\n" + "{[Time].[1997].[Q3].[9], [Store].[USA]}\n" + "{[Time].[1997].[Q4].[10], [Store].[USA]}\n" + "{[Time].[1997].[Q4].[11], [Store].[USA]}\n" + "{[Time].[1997].[Q4].[12], [Store].[USA]}\n" + "Row #0: 21,628\n" + "Row #1: 20,957\n" + "Row #2: 23,706\n" + "Row #3: 20,179\n" + "Row #4: 21,081\n" + "Row #5: 21,350\n" + "Row #6: 23,763\n" + "Row #7: 21,697\n" + "Row #8: 20,388\n" + "Row #9: 19,958\n" + "Row #10: 25,270\n" + "Row #11: 26,796\n");
}
use of mondrian.test.TestContext in project mondrian by pentaho.
the class TestAggregationManager method testKeyExpressionCardinalityCache.
public void testKeyExpressionCardinalityCache() {
String storeDim1 = "<Dimension name=\"Store1\">\n" + " <Hierarchy hasAll=\"true\" primaryKey=\"store_id\">\n" + " <Table name=\"store\"/>\n" + " <Level name=\"Store Country\" uniqueMembers=\"true\">\n" + " <KeyExpression>\n" + " <SQL dialect=\"oracle\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"hsqldb\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"derby\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"luciddb\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"mysql\">\n" + "`store_country`\n" + " </SQL>\n" + " <SQL dialect=\"netezza\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"neoview\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"generic\">\n" + "store_country\n" + " </SQL>\n" + " </KeyExpression>\n" + " </Level>\n" + " </Hierarchy>\n" + "</Dimension>\n";
String storeDim2 = "<Dimension name=\"Store2\">\n" + " <Hierarchy hasAll=\"true\" primaryKey=\"store_id\">\n" + " <Table name=\"store_ragged\"/>\n" + " <Level name=\"Store Country\" uniqueMembers=\"true\">\n" + " <KeyExpression>\n" + " <SQL dialect=\"oracle\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"derby\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"luciddb\">\n" + "\"store_country\"\n" + " </SQL>\n" + " <SQL dialect=\"mysql\">\n" + "`store_country`\n" + " </SQL>\n" + " <SQL dialect=\"generic\">\n" + "store_country\n" + " </SQL>\n" + " </KeyExpression>\n" + " </Level>\n" + " </Hierarchy>\n" + "</Dimension>\n";
String salesCube1 = "<Cube name=\"Sales1\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\" />\n" + " <DimensionUsage name=\"Store1\" source=\"Store1\" foreignKey=\"store_id\"/>\n" + " <Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\" formatString=\"Standard\"/>\n" + " <Measure name=\"Store Sales\" column=\"store_sales\" aggregator=\"sum\" formatString=\"Standard\"/>\n" + "</Cube>\n";
String salesCube2 = "<Cube name=\"Sales2\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\" />\n" + " <DimensionUsage name=\"Store2\" source=\"Store2\" foreignKey=\"store_id\"/>\n" + " <Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\" formatString=\"Standard\"/>\n" + "</Cube>\n";
String query = "select {[Measures].[Unit Sales]} ON COLUMNS, {[Store1].members} ON ROWS FROM [Sales1]";
String query1 = "select {[Measures].[Store Sales]} ON COLUMNS, {[Store1].members} ON ROWS FROM [Sales1]";
String query2 = "select {[Measures].[Unit Sales]} ON COLUMNS, {[Store2].members} ON ROWS FROM [Sales2]";
String cardinalitySqlDerby1 = "select count(distinct \"store_country\") from \"store\" as \"store\"";
String cardinalitySqlMySql1 = "select count(distinct `store_country`) as `c0` from `store` as `store`";
String cardinalitySqlDerby2 = "select count(*) from (select distinct \"store_country\" as \"c0\" from \"store_ragged\" as \"store_ragged\") as \"init\"";
String cardinalitySqlMySql2 = "select count(*) from (select distinct `store_country` as `c0` from `store_ragged` as `store_ragged`) as `init`";
SqlPattern[] patterns1 = new SqlPattern[] { new SqlPattern(Dialect.DatabaseProduct.DERBY, cardinalitySqlDerby1, cardinalitySqlDerby1), new SqlPattern(Dialect.DatabaseProduct.MYSQL, cardinalitySqlMySql1, cardinalitySqlMySql1) };
SqlPattern[] patterns2 = new SqlPattern[] { new SqlPattern(Dialect.DatabaseProduct.DERBY, cardinalitySqlDerby2, cardinalitySqlDerby2), new SqlPattern(Dialect.DatabaseProduct.MYSQL, cardinalitySqlMySql2, cardinalitySqlMySql2) };
TestContext testContext = TestContext.instance().create(storeDim1 + storeDim2, salesCube1 + salesCube2, null, null, null, null);
// This query causes "store"."store_country" cardinality to be
// retrieved.
testContext.executeQuery(query);
// Query1 will find the "store"."store_country" cardinality in cache.
assertQuerySqlOrNot(testContext, query1, patterns1, true, false, false);
// Query2 again will not find the "store_ragged"."store_country"
// cardinality in cache.
assertQuerySqlOrNot(testContext, query2, patterns2, false, false, false);
}
use of mondrian.test.TestContext in project mondrian by pentaho.
the class TestAggregationManager method testTwoNonCollapsedAggregate.
public void testTwoNonCollapsedAggregate() throws Exception {
propSaver.set(MondrianProperties.instance().UseAggregates, true);
propSaver.set(MondrianProperties.instance().ReadAggregates, true);
propSaver.set(propSaver.properties.GenerateFormattedSql, true);
final String cube = "<Cube name=\"Foo\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\">\n" + " <AggExclude name=\"agg_g_ms_pcat_sales_fact_1997\"/>" + " <AggExclude name=\"agg_c_14_sales_fact_1997\"/>" + " <AggExclude name=\"agg_pl_01_sales_fact_1997\"/>" + " <AggExclude name=\"agg_ll_01_sales_fact_1997\"/>" + " <AggName name=\"agg_l_05_sales_fact_1997\">" + " <AggFactCount column=\"fact_count\"/>\n" + " <AggIgnoreColumn column=\"customer_id\"/>\n" + " <AggIgnoreColumn column=\"promotion_id\"/>\n" + " <AggIgnoreColumn column=\"store_sales\"/>\n" + " <AggIgnoreColumn column=\"store_cost\"/>\n" + " <AggMeasure name=\"[Measures].[Unit Sales]\" column=\"unit_sales\" />\n" + " <AggLevel name=\"[Product].[Product Id]\" column=\"product_id\" collapsed=\"false\"/>\n" + " <AggLevel name=\"[Store].[Store Id]\" column=\"store_id\" collapsed=\"false\"/>\n" + " </AggName>\n" + "</Table>\n" + "<Dimension foreignKey=\"product_id\" name=\"Product\">\n" + "<Hierarchy hasAll=\"true\" primaryKey=\"product_id\" primaryKeyTable=\"product\">\n" + " <Join leftKey=\"product_class_id\" rightKey=\"product_class_id\">\n" + " <Table name=\"product\"/>\n" + " <Table name=\"product_class\"/>\n" + " </Join>\n" + " <Level name=\"Product Family\" table=\"product_class\" column=\"product_family\"\n" + " uniqueMembers=\"true\"/>\n" + " <Level name=\"Product Department\" table=\"product_class\" column=\"product_department\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Product Category\" table=\"product_class\" column=\"product_category\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Product Subcategory\" table=\"product_class\" column=\"product_subcategory\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Brand Name\" table=\"product\" column=\"brand_name\" uniqueMembers=\"false\"/>\n" + " <Level name=\"Product Name\" table=\"product\" column=\"product_name\"\n" + " uniqueMembers=\"true\"/>\n" + " <Level name=\"Product Id\" table=\"product\" column=\"product_id\"\n" + " uniqueMembers=\"true\"/>\n" + "</Hierarchy>\n" + "</Dimension>\n" + " <Dimension name=\"Store\" foreignKey=\"store_id\" >\n" + " <Hierarchy hasAll=\"true\" primaryKey=\"store_id\"\n" + " primaryKeyTable=\"store\">\n" + " <Join leftKey=\"region_id\" rightKey=\"region_id\">\n" + " <Table name=\"store\"/>\n" + " <Table name=\"region\"/>\n" + " </Join>\n" + " <Level name=\"Store Region\" table=\"region\" column=\"sales_city\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Store Id\" table=\"store\" column=\"store_id\"\n" + " uniqueMembers=\"true\">\n" + " </Level>\n" + " </Hierarchy>\n" + " </Dimension>\n" + "<Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\"\n" + " formatString=\"Standard\"/>\n" + "</Cube>\n";
final TestContext context = TestContext.instance().create(null, cube, null, null, null, null);
final String mdx = "select {Crossjoin([Product].[Product Family].Members, [Store].[Store Id].Members)} on rows, {[Measures].[Unit Sales]} on columns from [Foo]";
final String sqlOracle = "select\n" + " \"product_class\".\"product_family\" as \"c0\",\n" + " \"agg_l_05_sales_fact_1997\".\"store_id\" as \"c1\",\n" + " sum(\"agg_l_05_sales_fact_1997\".\"unit_sales\") as \"m0\"\n" + "from\n" + " \"product_class\" \"product_class\",\n" + " \"product\" \"product\",\n" + " \"agg_l_05_sales_fact_1997\" \"agg_l_05_sales_fact_1997\"\n" + "where\n" + " \"agg_l_05_sales_fact_1997\".\"product_id\" = \"product\".\"product_id\"\n" + "and\n" + " \"product\".\"product_class_id\" = \"product_class\".\"product_class_id\"\n" + "group by\n" + " \"product_class\".\"product_family\",\n" + " \"agg_l_05_sales_fact_1997\".\"store_id\"";
final String sqlMysql = "select\n" + " `product_class`.`product_family` as `c0`,\n" + " `agg_l_05_sales_fact_1997`.`store_id` as `c1`,\n" + " sum(`agg_l_05_sales_fact_1997`.`unit_sales`) as `m0`\n" + "from\n" + " `product_class` as `product_class`,\n" + " `product` as `product`,\n" + " `agg_l_05_sales_fact_1997` as `agg_l_05_sales_fact_1997`\n" + "where\n" + " `agg_l_05_sales_fact_1997`.`product_id` = `product`.`product_id`\n" + "and\n" + " `product`.`product_class_id` = `product_class`.`product_class_id`\n" + "group by\n" + " `product_class`.`product_family`,\n" + " `agg_l_05_sales_fact_1997`.`store_id`";
assertQuerySqlOrNot(context, mdx, new SqlPattern[] { new SqlPattern(Dialect.DatabaseProduct.ORACLE, sqlOracle, sqlOracle.length()), new SqlPattern(Dialect.DatabaseProduct.MYSQL, sqlMysql, sqlMysql.length()) }, false, false, true);
}
use of mondrian.test.TestContext in project mondrian by pentaho.
the class TestAggregationManager method testAggStarWithIgnoredColumnsAndCountDistinct.
public void testAggStarWithIgnoredColumnsAndCountDistinct() {
propSaver.set(propSaver.properties.ReadAggregates, true);
propSaver.set(propSaver.properties.UseAggregates, true);
propSaver.set(propSaver.properties.GenerateFormattedSql, true);
final TestContext context = TestContext.instance().withSchema("<Schema name=\"FoodMart\">" + " <Dimension name=\"Time\" type=\"TimeDimension\">\n" + " <Hierarchy hasAll=\"false\" primaryKey=\"time_id\">\n" + " <Table name=\"time_by_day\"/>\n" + " <Level name=\"Year\" column=\"the_year\" type=\"Numeric\" uniqueMembers=\"true\"\n" + " levelType=\"TimeYears\"/>\n" + " <Level name=\"Quarter\" column=\"quarter\" uniqueMembers=\"false\"\n" + " levelType=\"TimeQuarters\"/>\n" + " </Hierarchy>\n" + " </Dimension>\n" + "<Cube name=\"Sales\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\">\n" + " <AggExclude name=\"agg_c_special_sales_fact_1997\" />\n" + " <AggExclude name=\"agg_lc_100_sales_fact_1997\" />\n" + " <AggExclude name=\"agg_lc_10_sales_fact_1997\" />\n" + " <AggExclude name=\"agg_pc_10_sales_fact_1997\" />\n" + " <AggName name=\"agg_g_ms_pcat_sales_fact_1997\">\n" + " <AggFactCount column=\"FACT_COUNT\"/>\n" + " <AggIgnoreColumn column=\"Quarter\"/>\n" + " <AggIgnoreColumn column=\"MONTH_OF_YEAR\"/>\n" + " <AggMeasure name=\"[Measures].[Customer Count]\" column=\"customer_count\" />\n" + " <AggLevel name=\"[Time].[Year]\" column=\"the_year\" />\n" + " </AggName>\n" + " </Table>\n" + " <DimensionUsage name=\"Time\" source=\"Time\" foreignKey=\"time_id\"/>\n" + " <Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\"\n" + " formatString=\"Standard\"/>\n" + " <Measure name=\"Customer Count\" column=\"customer_id\" aggregator=\"distinct-count\"\n" + " formatString=\"Standard\"/>\n" + "</Cube>\n" + "</Schema>");
RolapStar star = context.getConnection().getSchemaReader().getSchema().getStar("sales_fact_1997");
AggStar aggStarSpy = spy(getAggStar(star, "agg_g_ms_pcat_sales_fact_1997"));
// make sure the test AggStar will be prioritized first
when(aggStarSpy.getSize()).thenReturn(0l);
context.getConnection().getSchemaReader().getSchema().getStar("sales_fact_1997").addAggStar(aggStarSpy);
boolean[] rollup = { false };
AggStar returnedStar = AggregationManager.findAgg(star, aggStarSpy.getLevelBitKey(), aggStarSpy.getMeasureBitKey(), rollup);
assertNull("Should not find an agg star given that ignored or unused " + "columns are present, and loading distinct count measure", returnedStar);
String sqlOra = "select\n" + " \"time_by_day\".\"the_year\" as \"c0\",\n" + " count(distinct \"sales_fact_1997\".\"customer_id\") as \"m0\"\n" + "from\n" + " \"time_by_day\" \"time_by_day\",\n" + " \"sales_fact_1997\" \"sales_fact_1997\"\n" + "where\n" + " \"sales_fact_1997\".\"time_id\" = \"time_by_day\".\"time_id\"\n" + "and\n" + " \"time_by_day\".\"the_year\" = 1997\n" + "group by\n" + " \"time_by_day\".\"the_year\"";
String sqlMysql = "select\n" + " `time_by_day`.`the_year` as `c0`,\n" + " count(distinct `sales_fact_1997`.`customer_id`) as `m0`\n" + "from\n" + " `time_by_day` as `time_by_day`,\n" + " `sales_fact_1997` as `sales_fact_1997`\n" + "where\n" + " `sales_fact_1997`.`time_id` = `time_by_day`.`time_id`\n" + "and\n" + " `time_by_day`.`the_year` = 1997\n" + "group by\n" + " `time_by_day`.`the_year`";
assertQuerySqlOrNot(context, "select Time.[1997] on 0 from sales where " + "measures.[Customer Count]", new SqlPattern[] { new SqlPattern(Dialect.DatabaseProduct.MYSQL, sqlMysql, sqlMysql.length()), new SqlPattern(Dialect.DatabaseProduct.ORACLE, sqlOra, sqlOra.length()) }, false, false, true);
}
use of mondrian.test.TestContext in project mondrian by pentaho.
the class TestAggregationManager method testNonCollapsedAggregate.
public void testNonCollapsedAggregate() throws Exception {
propSaver.set(MondrianProperties.instance().UseAggregates, true);
propSaver.set(MondrianProperties.instance().ReadAggregates, true);
final String cube = "<Cube name=\"Foo\" defaultMeasure=\"Unit Sales\">\n" + " <Table name=\"sales_fact_1997\">\n" + " <AggExclude name=\"agg_g_ms_pcat_sales_fact_1997\"/>" + " <AggExclude name=\"agg_c_14_sales_fact_1997\"/>" + " <AggExclude name=\"agg_pl_01_sales_fact_1997\"/>" + " <AggExclude name=\"agg_ll_01_sales_fact_1997\"/>" + " <AggName name=\"agg_l_05_sales_fact_1997\">" + " <AggFactCount column=\"fact_count\"/>\n" + " <AggIgnoreColumn column=\"customer_id\"/>\n" + " <AggIgnoreColumn column=\"store_id\"/>\n" + " <AggIgnoreColumn column=\"promotion_id\"/>\n" + " <AggIgnoreColumn column=\"store_sales\"/>\n" + " <AggIgnoreColumn column=\"store_cost\"/>\n" + " <AggMeasure name=\"[Measures].[Unit Sales]\" column=\"unit_sales\" />\n" + " <AggLevel name=\"[Product].[Product Id]\" column=\"product_id\" collapsed=\"false\"/>\n" + " </AggName>\n" + "</Table>\n" + "<Dimension foreignKey=\"product_id\" name=\"Product\">\n" + "<Hierarchy hasAll=\"true\" primaryKey=\"product_id\" primaryKeyTable=\"product\">\n" + " <Join leftKey=\"product_class_id\" rightKey=\"product_class_id\">\n" + " <Table name=\"product\"/>\n" + " <Table name=\"product_class\"/>\n" + " </Join>\n" + " <Level name=\"Product Family\" table=\"product_class\" column=\"product_family\"\n" + " uniqueMembers=\"true\"/>\n" + " <Level name=\"Product Department\" table=\"product_class\" column=\"product_department\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Product Category\" table=\"product_class\" column=\"product_category\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Product Subcategory\" table=\"product_class\" column=\"product_subcategory\"\n" + " uniqueMembers=\"false\"/>\n" + " <Level name=\"Brand Name\" table=\"product\" column=\"brand_name\" uniqueMembers=\"false\"/>\n" + " <Level name=\"Product Name\" table=\"product\" column=\"product_name\"\n" + " uniqueMembers=\"true\"/>\n" + " <Level name=\"Product Id\" table=\"product\" column=\"product_id\"\n" + " uniqueMembers=\"true\"/>\n" + "</Hierarchy>\n" + "</Dimension>\n" + "<Measure name=\"Unit Sales\" column=\"unit_sales\" aggregator=\"sum\"\n" + " formatString=\"Standard\"/>\n" + "</Cube>\n";
final TestContext context = TestContext.instance().create(null, cube, null, null, null, null);
final String mdx = "select {[Product].[Product Family].Members} on rows, {[Measures].[Unit Sales]} on columns from [Foo]";
final String sqlOracle = "select \"product_class\".\"product_family\" as \"c0\", sum(\"agg_l_05_sales_fact_1997\".\"unit_sales\") as \"m0\" from \"product_class\" \"product_class\", \"product\" \"product\", \"agg_l_05_sales_fact_1997\" \"agg_l_05_sales_fact_1997\" where \"agg_l_05_sales_fact_1997\".\"product_id\" = \"product\".\"product_id\" and \"product\".\"product_class_id\" = \"product_class\".\"product_class_id\" group by \"product_class\".\"product_family\"";
final String sqlMysql = "select `product_class`.`product_family` as `c0`, sum(`agg_l_05_sales_fact_1997`.`unit_sales`) as `m0` from `product_class` as `product_class`, `product` as `product`, `agg_l_05_sales_fact_1997` as `agg_l_05_sales_fact_1997` where `agg_l_05_sales_fact_1997`.`product_id` = `product`.`product_id` and `product`.`product_class_id` = `product_class`.`product_class_id` group by `product_class`.`product_family`";
assertQuerySqlOrNot(context, mdx, new SqlPattern[] { new SqlPattern(Dialect.DatabaseProduct.ORACLE, sqlOracle, sqlOracle.length()), new SqlPattern(Dialect.DatabaseProduct.MYSQL, sqlMysql, sqlMysql.length()) }, false, false, true);
}
Aggregations