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/*
* 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.calcite.test;
import org.apache.calcite.util.Bug;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import static org.apache.calcite.test.CalciteAssert.that;
/**
* Tests for a JDBC front-end and JDBC back-end where the processing is not
* pushed down to JDBC (as in {@link JdbcFrontJdbcBackTest}) but is executed
* in a pipeline of linq4j operators.
*/
class JdbcFrontJdbcBackLinqMiddleTest {
@Test void testTable() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select * from \"foodmart\".\"days\"")
.returns("day=1; week_day=Sunday\n"
+ "day=2; week_day=Monday\n"
+ "day=5; week_day=Thursday\n"
+ "day=4; week_day=Wednesday\n"
+ "day=3; week_day=Tuesday\n"
+ "day=6; week_day=Friday\n"
+ "day=7; week_day=Saturday\n");
}
@Test void testWhere() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select * from \"foodmart\".\"days\" where \"day\" < 3")
.returns("day=1; week_day=Sunday\n"
+ "day=2; week_day=Monday\n");
}
@Test void testWhere2() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select * from \"foodmart\".\"days\"\n"
+ "where not (lower(\"week_day\") = 'wednesday')")
.returns("day=1; week_day=Sunday\n"
+ "day=2; week_day=Monday\n"
+ "day=5; week_day=Thursday\n"
+ "day=3; week_day=Tuesday\n"
+ "day=6; week_day=Friday\n"
+ "day=7; week_day=Saturday\n");
}
@Test void testCase() {
that()
.with(CalciteAssert.Config.FOODMART_CLONE)
.query("select \"day\",\n"
+ " \"week_day\",\n"
+ " case when \"day\" < 3 then upper(\"week_day\")\n"
+ " when \"day\" < 5 then lower(\"week_day\")\n"
+ " else \"week_day\" end as d\n"
+ "from \"foodmart\".\"days\"\n"
+ "where \"day\" <> 1\n"
+ "order by \"day\"")
.returns("day=2; week_day=Monday; D=MONDAY\n"
+ "day=3; week_day=Tuesday; D=tuesday\n"
+ "day=4; week_day=Wednesday; D=wednesday\n"
+ "day=5; week_day=Thursday; D=Thursday\n"
+ "day=6; week_day=Friday; D=Friday\n"
+ "day=7; week_day=Saturday; D=Saturday\n");
}
@Test void testGroup() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select s, count(*) as c, min(\"week_day\") as mw from (\n"
+ "select \"week_day\",\n"
+ " substring(\"week_day\" from 1 for 1) as s\n"
+ "from \"foodmart\".\"days\")\n"
+ "group by s")
.returnsUnordered(
"S=T; C=2; MW=Thursday",
"S=F; C=1; MW=Friday",
"S=W; C=1; MW=Wednesday",
"S=S; C=2; MW=Saturday",
"S=M; C=1; MW=Monday");
}
@Test void testGroupEmpty() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select count(*) as c\n"
+ "from \"foodmart\".\"days\"")
.returns("C=7\n");
}
/** Tests a theta join: a join whose condition cannot be decomposed
* into input0.x = input1.x and ... input0.z = input1.z.
*
* <p>Currently, the query can be planned, but the plan is not efficient (uses
* cartesian product).</p>
*/
@Disabled("non-deterministic on JDK 1.7 vs 1.8")
@Test void testJoinTheta() {
that()
.with(CalciteAssert.Config.FOODMART_CLONE)
.query("select count(*) from (\n"
+ " select *\n"
+ " from \"foodmart\".\"sales_fact_1997\" as s\n"
+ " join \"foodmart\".\"customer\" as c\n"
+ " on s.\"customer_id\" - c.\"customer_id\" = 0)")
.explainContains("EnumerableAggregate(group=[{}], EXPR$0=[COUNT()])\n"
+ " EnumerableCalc(expr#0..1=[{inputs}], expr#2=[0], expr#3=[-($t0, $t1)], expr#4=[=($t3, $t2)], DUMMY=[$t2], $condition=[$t4])\n"
+ " EnumerableNestedLoopJoin(condition=[true], joinType=[inner])\n"
+ " JdbcToEnumerableConverter\n"
+ " JdbcProject(customer_id=[$2])\n"
+ " JdbcTableScan(table=[[foodmart, sales_fact_1997]])\n"
+ " JdbcToEnumerableConverter\n"
+ " JdbcProject(customer_id=[$0])\n"
+ " JdbcTableScan(table=[[foodmart, customer]])");
}
@Test void testJoinGroupByEmpty() {
if (CalciteAssert.DB == CalciteAssert.DatabaseInstance.MYSQL
&& !Bug.CALCITE_673_FIXED) {
return;
}
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select count(*) from (\n"
+ " select *\n"
+ " from \"foodmart\".\"sales_fact_1997\" as s\n"
+ " join \"foodmart\".\"customer\" as c\n"
+ " on s.\"customer_id\" = c.\"customer_id\")")
.returns("EXPR$0=86837\n");
}
@Test void testJoinGroupByOrderBy() {
if (CalciteAssert.DB == CalciteAssert.DatabaseInstance.MYSQL
&& !Bug.CALCITE_673_FIXED) {
return;
}
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select count(*), c.\"state_province\",\n"
+ " sum(s.\"unit_sales\") as s\n"
+ "from \"foodmart\".\"sales_fact_1997\" as s\n"
+ " join \"foodmart\".\"customer\" as c\n"
+ " on s.\"customer_id\" = c.\"customer_id\"\n"
+ "group by c.\"state_province\"\n"
+ "order by c.\"state_province\"")
.returns2("EXPR$0=24442; state_province=CA; S=74748\n"
+ "EXPR$0=21611; state_province=OR; S=67659\n"
+ "EXPR$0=40784; state_province=WA; S=124366\n");
}
@Test void testCompositeGroupBy() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select count(*) as c, c.\"state_province\"\n"
+ "from \"foodmart\".\"customer\" as c\n"
+ "group by c.\"state_province\", c.\"country\"\n"
+ "order by c, 1")
.returns("C=78; state_province=Sinaloa\n"
+ "C=90; state_province=Oaxaca\n"
+ "C=93; state_province=Veracruz\n"
+ "C=97; state_province=Mexico\n"
+ "C=99; state_province=Yucatan\n"
+ "C=104; state_province=Jalisco\n"
+ "C=106; state_province=Guerrero\n"
+ "C=191; state_province=Zacatecas\n"
+ "C=347; state_province=DF\n"
+ "C=1051; state_province=OR\n"
+ "C=1717; state_province=BC\n"
+ "C=2086; state_province=WA\n"
+ "C=4222; state_province=CA\n");
}
@Disabled
@Test void testDistinctCount() {
// Complicating factors:
// Composite GROUP BY key
// Order by select item, referenced by ordinal
// Distinct count
// Not all GROUP columns are projected
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select c.\"state_province\",\n"
+ " sum(s.\"unit_sales\") as s,\n"
+ " count(distinct c.\"customer_id\") as dc\n"
+ "from \"foodmart\".\"sales_fact_1997\" as s\n"
+ " join \"foodmart\".\"customer\" as c\n"
+ " on s.\"customer_id\" = c.\"customer_id\"\n"
+ "group by c.\"state_province\", c.\"country\"\n"
+ "order by c.\"state_province\", 2")
.planHasSql("SELECT `state_province`, `S`, `DC`\n"
+ "FROM (SELECT `customer`.`state_province`, `customer`.`country`, SUM(`sales_fact_1997`.`unit_sales`) AS `S`, COUNT(DISTINCT `customer`.`customer_id`) AS `DC`\n"
+ "FROM `foodmart`.`sales_fact_1997`\n"
+ "INNER JOIN `foodmart`.`customer` ON `sales_fact_1997`.`customer_id` = `customer`.`customer_id`\n"
+ "GROUP BY `customer`.`state_province`, `customer`.`country`) AS `t0`\n"
+ "ORDER BY `state_province`, `S`")
.returns("state_province=CA; S=74748.0000; DC=2716\n"
+ "state_province=OR; S=67659.0000; DC=1037\n"
+ "state_province=WA; S=124366.0000; DC=1828\n");
}
@Disabled
@Test void testPlan() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.query("select c.\"state_province\"\n"
+ "from \"foodmart\".\"customer\" as c\n"
+ "where c.\"state_province\" = 'USA'")
.planContains(" public boolean moveNext() {\n"
+ " while (inputEnumerator.moveNext()) {\n"
+ " final String v = (String) ((Object[]) inputEnumerator.current())[10];\n"
+ " if (v != null && org.apache.calcite.runtime.SqlFunctions.eq(v, \"USA\")) {\n"
+ " return true;\n"
+ " }\n"
+ " }\n"
+ " return false;\n"
+ " }\n");
}
@Disabled
@Test void testPlan2() {
that()
.with(CalciteAssert.Config.JDBC_FOODMART)
.withDefaultSchema("foodmart")
.query("select \"customer\".\"state_province\" as \"c0\",\n"
+ " \"customer\".\"country\" as \"c1\"\n"
+ "from \"customer\" as \"customer\"\n"
+ "where (\"customer\".\"country\" = 'USA')\n"
+ "and UPPER(\"customer\".\"state_province\") = UPPER('CA')\n"
+ "group by \"customer\".\"state_province\", \"customer\".\"country\"\n"
+ "order by \"customer\".\"state_province\" ASC")
.planContains(" public boolean moveNext() {\n"
+ " while (inputEnumerator.moveNext()) {\n"
+ " final Object[] current12 = (Object[]) inputEnumerator.current();\n"
+ " final String v1 = (String) current12[10];\n"
+ " if (org.apache.calcite.runtime.SqlFunctions.eq((String) current12[12], \"USA\") && (v1 != null && org.apache.calcite.runtime.SqlFunctions.eq(org.apache.calcite.runtime.SqlFunctions.upper(v1), org.apache.calcite.runtime.SqlFunctions.trim(org.apache.calcite.runtime.SqlFunctions.upper(\"CA\"))))) {\n"
+ " return true;\n"
+ " }\n"
+ " }\n"
+ " return false;\n"
+ " }\n");
}
@Test void testPlan3() {
// Plan should contain 'join'. If it doesn't, maybe int-vs-Integer
// data type incompatibility has caused it to use a cartesian product
// instead, and that would be wrong.
//
// inventory_fact_1997 is on the LHS because it is larger than store.
that()
.with(CalciteAssert.Config.FOODMART_CLONE)
.query(
"select \"store\".\"store_country\" as \"c0\", sum(\"inventory_fact_1997\".\"supply_time\") as \"m0\" 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\"")
.planContains(
" left.hashJoin(right, new org.apache.calcite.linq4j.function.Function1() {\n");
}
}