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kern/test-src/de/superx/bianalysis/ConformedTest.java

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package de.superx.bianalysis;
import static org.junit.Assert.assertEquals;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
import org.springframework.beans.factory.annotation.Autowired;
import de.superx.BIATestUtils;
import de.superx.BaseDbTest;
import de.superx.bianalysis.models.Right;
import de.superx.bianalysis.service.BiAnalysisManager;
import de.superx.bianalysis.service.DbMetaAdapter;
import de.superx.rest.model.Column;
import static de.superx.BIATestUtils.getParsedSqlFromString;
import static de.superx.BIATestUtils.getSqlFromReportDefinition;
import static de.superx.BIATestUtils.getResultColumnsFromReport;
public class ConformedTest extends BaseDbTest {
@Autowired
DbMetaAdapter dbAdapter;
@Autowired
BiAnalysisManager biAnalysisManager;
@Before
public void init() {
setRight(Right.CREATE_ANALYSIS);
}
@Test
public void twoFactTablesTwoJoinCriteriaUnionJoin() {
String json = """
{
"factTableId": "res_nom:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"res_nom:5",
"res_nom:7"
],
"measureIds": [
"res_nom:17"
],
"secondaryFacttables": [
{
"factId": "res_patent:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "res_nom:4",
"secondaryRolePlayingDimensionId": "res_patent:10"
},
{
"leadingRolePlayingDimensionId": "res_nom:6",
"secondaryRolePlayingDimensionId": "res_patent:78999"
}
],
"measureIds": [
"res_patent:28"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_prize_aggregated AS
(SELECT nomination_date.year_actual AS year_actual_5,
grouping(nomination_date.year_actual) AS g_year_actual_5,
nomination_date.year_actual_sort_order AS year_actual_5_year_actual_sort_order,
grouping(nomination_date.year_actual_sort_order) AS g_year_actual_5_year_actual_sort_order,
awardee.gender AS gender_7,
grouping(awardee.gender) AS g_gender_7,
awardee.gender_sort_order AS gender_7_gender_sort_order,
grouping(awardee.gender_sort_order) AS g_gender_7_gender_sort_order,
COUNT(distinct(fact_prize.nomination_id)) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_prize
JOIN presentation.dim_person_researcher AS awardee ON fact_prize.person_id = awardee.id
AND awardee.is_current = TRUE
JOIN presentation.dim_date AS nomination_date ON fact_prize.nomination_date_id = nomination_date.id
GROUP BY GROUPING
SETS ((nomination_date.year_actual, nomination_date.year_actual_sort_order, awardee.gender, awardee.gender_sort_order), (nomination_date.year_actual, nomination_date.year_actual_sort_order), ())
ORDER BY nomination_date.year_actual_sort_order, awardee.gender_sort_order),
fact_patent_aggregated AS
(SELECT date_registration.year_actual AS year_actual_11,
grouping(date_registration.year_actual) AS g_year_actual_11,
date_registration.year_actual_sort_order AS year_actual_11_year_actual_sort_order,
grouping(date_registration.year_actual_sort_order) AS g_year_actual_11_year_actual_sort_order,
conformed_person.gender AS gender_79000,
grouping(conformed_person.gender) AS g_gender_79000,
conformed_person.gender_sort_order AS gender_79000_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_79000_gender_sort_order,
NULL::bigint AS "col0",
COUNT(distinct(fact_patent.id)) AS "col1"
FROM presentation.fact_patent
JOIN presentation.dim_date AS date_registration ON fact_patent.registration_date_id = date_registration.id
JOIN presentation.dim_person_researcher AS conformed_person ON fact_patent.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING SETS ((date_registration.year_actual, date_registration.year_actual_sort_order, conformed_person.gender, conformed_person.gender_sort_order), (date_registration.year_actual, date_registration.year_actual_sort_order), ())
ORDER BY date_registration.year_actual_sort_order, conformed_person.gender_sort_order)
SELECT year_actual,
year_actual_sort_order,
gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT year_actual_11 AS year_actual,
g_year_actual_11 AS g_year_actual,
year_actual_11_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_11_year_actual_sort_order AS g_year_actual_sort_order,
gender_79000 AS gender,
g_gender_79000 AS g_gender,
gender_79000_gender_sort_order AS gender_sort_order,
g_gender_79000_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_patent_aggregated
UNION ALL SELECT year_actual_5 AS year_actual,
g_year_actual_5 AS g_year_actual,
year_actual_5_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_5_year_actual_sort_order AS g_year_actual_sort_order,
gender_7 AS gender,
g_gender_7 AS g_gender,
gender_7_gender_sort_order AS gender_sort_order,
g_gender_7_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_prize_aggregated) x
GROUP BY year_actual, g_year_actual, year_actual_sort_order, g_year_actual_sort_order, gender, g_gender, gender_sort_order, g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesOneConformedAttributeUnionJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:63"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:62",
"secondaryRolePlayingDimensionId": "res_doctoral_program:43"
}
],
"measureIds": [
"res_doctoral_program:57"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT date.year_actual AS year_actual_63,
grouping(date.year_actual) AS g_year_actual_63,
date.year_actual_sort_order AS year_actual_63_year_actual_sort_order,
grouping(date.year_actual_sort_order) AS g_year_actual_63_year_actual_sort_order,
COUNT(distinct(fact_application.person_id)) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_application
JOIN presentation.dim_date AS date ON fact_application.receipt_date_id = date.id
GROUP BY GROUPING
SETS ((date.year_actual,
date.year_actual_sort_order), ())
ORDER BY date.year_actual_sort_order),
fact_doctoral_program_aggregated AS
(SELECT date.year_actual AS year_actual_44,
grouping(date.year_actual) AS g_year_actual_44,
date.year_actual_sort_order AS year_actual_44_year_actual_sort_order,
grouping(date.year_actual_sort_order) AS g_year_actual_44_year_actual_sort_order,
NULL::bigint AS "col0",
COUNT(distinct(fact_doctoral_program.doctoral_candidate_person_id)) AS "col1"
FROM presentation.fact_doctoral_program
JOIN presentation.dim_date AS date ON fact_doctoral_program.admission_date_id = date.id
GROUP BY GROUPING
SETS ((date.year_actual,
date.year_actual_sort_order), ())
ORDER BY date.year_actual_sort_order)
SELECT year_actual,
year_actual_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT year_actual_63 AS year_actual,
g_year_actual_63 AS g_year_actual,
year_actual_63_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_63_year_actual_sort_order AS g_year_actual_sort_order,
col0,
col1
FROM fact_application_aggregated
UNION ALL SELECT year_actual_44 AS year_actual,
g_year_actual_44 AS g_year_actual,
year_actual_44_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_44_year_actual_sort_order AS g_year_actual_sort_order,
col0,
col1
FROM fact_doctoral_program_aggregated) x
GROUP BY year_actual,
g_year_actual,
year_actual_sort_order,
g_year_actual_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesOneConformedAttributeOneAsymmetricAttributeUnionJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:63",
"app_basic:12"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:62",
"secondaryRolePlayingDimensionId": "res_doctoral_program:43"
}
],
"measureIds": [
"res_doctoral_program:57"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT date.year_actual AS year_actual_63,
grouping(date.year_actual) AS g_year_actual_63,
date.year_actual_sort_order AS year_actual_63_year_actual_sort_order,
grouping(date.year_actual_sort_order) AS g_year_actual_63_year_actual_sort_order,
conformed_location.country AS country_12,
grouping(conformed_location.country) AS g_country_12,
COUNT(distinct(fact_application.person_id)) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_application
JOIN presentation.dim_date AS date ON fact_application.receipt_date_id = date.id
JOIN presentation.dim_location AS conformed_location ON fact_application.location_lid = conformed_location.lid
AND conformed_location.is_current = TRUE
GROUP BY GROUPING
SETS ((date.year_actual,
date.year_actual_sort_order,
conformed_location.country), (date.year_actual,
date.year_actual_sort_order), ())
ORDER BY date.year_actual_sort_order,
country_12),
fact_doctoral_program_aggregated AS
(SELECT date.year_actual AS year_actual_44,
grouping(date.year_actual) AS g_year_actual_44,
date.year_actual_sort_order AS year_actual_44_year_actual_sort_order,
grouping(date.year_actual_sort_order) AS g_year_actual_44_year_actual_sort_order,
NULL::text AS country_12,
1 AS g_country_12,
NULL::bigint AS "col0",
COUNT(distinct(fact_doctoral_program.doctoral_candidate_person_id)) AS "col1"
FROM presentation.fact_doctoral_program
JOIN presentation.dim_date AS date ON fact_doctoral_program.admission_date_id = date.id
GROUP BY GROUPING
SETS ((date.year_actual,
date.year_actual_sort_order), ())
ORDER BY date.year_actual_sort_order)
SELECT year_actual,
year_actual_sort_order,
country,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT year_actual_63 AS year_actual,
g_year_actual_63 AS g_year_actual,
year_actual_63_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_63_year_actual_sort_order AS g_year_actual_sort_order,
country_12 AS country,
g_country_12 AS g_country,
col0,
col1
FROM fact_application_aggregated
UNION ALL SELECT year_actual_44 AS year_actual,
g_year_actual_44 AS g_year_actual,
year_actual_44_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_44_year_actual_sort_order AS g_year_actual_sort_order,
country_12 AS country,
g_country_12 AS g_country,
col0,
col1
FROM fact_doctoral_program_aggregated) x
GROUP BY year_actual,
g_year_actual,
year_actual_sort_order,
g_year_actual_sort_order,
country,
g_country
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void threeFactTablesOneConformedAttributeUnionJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:57"
]
},
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(distinct(fact_application.person_id)) AS "col0",
NULL::bigint AS "col1",
NULL::bigint AS "col2"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_doctoral_program_aggregated AS
(SELECT conformed_person.gender AS gender_6,
grouping(conformed_person.gender) AS g_gender_6,
conformed_person.gender_sort_order AS gender_6_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_6_gender_sort_order,
NULL::bigint AS "col0",
COUNT(distinct(fact_doctoral_program.doctoral_candidate_person_id)) AS "col1",
NULL::bigint AS "col2"
FROM presentation.fact_doctoral_program
JOIN presentation.dim_person_doctoral AS conformed_person ON fact_doctoral_program.doctoral_candidate_person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
NULL::bigint AS "col0",
NULL::bigint AS "col1",
COUNT(distinct(fact_publication.publication_id)) AS "col2"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2
FROM fact_application_aggregated
UNION ALL SELECT gender_6 AS gender,
g_gender_6 AS g_gender,
gender_6_gender_sort_order AS gender_sort_order,
g_gender_6_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2
FROM fact_doctoral_program_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2
FROM fact_publication_aggregated) x
GROUP BY gender,
g_gender,
gender_sort_order,
g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void threeFactTablesTwoConformedAttributesUnionJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3",
"app_basic:142"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:57"
]
},
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
conformed_person.first_nationality AS first_nationality_142,
grouping(conformed_person.first_nationality) AS g_first_nationality_142,
COUNT(DISTINCT (fact_application.person_id)) AS "col0",
NULL::bigint AS "col1",
NULL::bigint AS "col2"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order,
conformed_person.first_nationality), (conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order,
first_nationality_142),
fact_doctoral_program_aggregated AS
(SELECT conformed_person.gender AS gender_6,
grouping(conformed_person.gender) AS g_gender_6,
conformed_person.gender_sort_order AS gender_6_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_6_gender_sort_order,
conformed_person.first_nationality AS first_nationality_9,
grouping(conformed_person.first_nationality) AS g_first_nationality_9,
NULL::bigint AS "col0",
COUNT(DISTINCT (fact_doctoral_program.doctoral_candidate_person_id)) AS "col1",
NULL::bigint AS "col2"
FROM presentation.fact_doctoral_program
JOIN presentation.dim_person_doctoral AS conformed_person ON fact_doctoral_program.doctoral_candidate_person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order,
conformed_person.first_nationality), (conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order,
first_nationality_9),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
conformed_person.first_nationality AS first_nationality_21041,
grouping(conformed_person.first_nationality) AS g_first_nationality_21041,
NULL::bigint AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT (fact_publication.publication_id)) AS "col2"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order,
conformed_person.first_nationality), (conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order,
first_nationality_21041)
SELECT gender,
gender_sort_order,
first_nationality,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
first_nationality_142 AS first_nationality,
g_first_nationality_142 AS g_first_nationality,
col0,
col1,
col2
FROM fact_application_aggregated
UNION ALL SELECT gender_6 AS gender,
g_gender_6 AS g_gender,
gender_6_gender_sort_order AS gender_sort_order,
g_gender_6_gender_sort_order AS g_gender_sort_order,
first_nationality_9 AS first_nationality,
g_first_nationality_9 AS g_first_nationality,
col0,
col1,
col2
FROM fact_doctoral_program_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
first_nationality_21041 AS first_nationality,
g_first_nationality_21041 AS g_first_nationality,
col0,
col1,
col2
FROM fact_publication_aggregated) x
GROUP BY gender,
g_gender,
gender_sort_order,
g_gender_sort_order,
first_nationality,
g_first_nationality
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesOneConformedTopAttributeOneConformedLeftAttributeUnionJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:142"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:57"
]
}
],
"topDimensionAttributeIds": [
"app_basic:3"
]
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.first_nationality AS first_nationality_142,
grouping(conformed_person.first_nationality) AS g_first_nationality_142,
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'männlich') AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'weiblich') AS "col2",
NULL::bigint AS "col3",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'divers') AS "col4",
NULL::bigint AS "col5",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'undefiniert / k.A.') AS "col6",
NULL::bigint AS "col7"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.first_nationality), ())
ORDER BY first_nationality_142),
fact_doctoral_program_aggregated AS
(SELECT conformed_person.first_nationality AS first_nationality_9,
grouping(conformed_person.first_nationality) AS g_first_nationality_9,
NULL::bigint AS "col0",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'männlich') AS "col1",
NULL::bigint AS "col2",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'weiblich') AS "col3",
NULL::bigint AS "col4",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'divers') AS "col5",
NULL::bigint AS "col6",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'undefiniert / k.A.') AS "col7"
FROM presentation.fact_doctoral_program
JOIN presentation.dim_person_doctoral AS conformed_person ON fact_doctoral_program.doctoral_candidate_person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.first_nationality), ())
ORDER BY first_nationality_9)
SELECT first_nationality,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2,
SUM(col3) AS col3,
SUM(col4) AS col4,
SUM(col5) AS col5,
SUM(col6) AS col6,
SUM(col7) AS col7
FROM
(SELECT first_nationality_142 AS first_nationality,
g_first_nationality_142 AS g_first_nationality,
col0,
col1,
col2,
col3,
col4,
col5,
col6,
col7
FROM fact_application_aggregated
UNION ALL SELECT first_nationality_9 AS first_nationality,
g_first_nationality_9 AS g_first_nationality,
col0,
col1,
col2,
col3,
col4,
col5,
col6,
col7
FROM fact_doctoral_program_aggregated) x
GROUP BY first_nationality,
g_first_nationality
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesOneConformedTopAttributeOneConformedLeftAttributeLeftJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:142"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "left",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:57"
]
}
],
"topDimensionAttributeIds": [
"app_basic:3"
]
}
""";
String expectedSql = """
SELECT conformed_person.first_nationality AS first_nationality_142,
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'n. v.') AS "col0",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'n. v.') AS "col1",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'männlich') AS "col2",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'männlich') AS "col3",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'weiblich') AS "col4",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'weiblich') AS "col5",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'divers') AS "col6",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'divers') AS "col7",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.gender = 'undefiniert / k.A.') AS "col8",
COUNT(DISTINCT fact_doctoral_program.doctoral_candidate_person_id) FILTER ( WHERE conformed_person.gender = 'undefiniert / k.A.') AS "col9"
FROM presentation.fact_application
LEFT JOIN
(SELECT DISTINCT doctoral_candidate_person_id
FROM presentation.fact_doctoral_program) AS fact_doctoral_program ON fact_doctoral_program.doctoral_candidate_person_id = fact_application.person_id
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.first_nationality), ())
ORDER BY first_nationality_142
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesOneConformedAttributeLeftJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "left",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:56"
]
}
],
"topDimensionAttributeIds": []
}
""" ;
String expectedSql = """
SELECT conformed_person.gender AS gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
COUNT(distinct(fact_application.person_id)) AS "col0",
COUNT(distinct(fact_doctoral_program.doctoral_program_id)) AS "col1"
FROM presentation.fact_application
LEFT JOIN
(SELECT DISTINCT doctoral_candidate_person_id,
doctoral_program_id
FROM presentation.fact_doctoral_program) AS fact_doctoral_program ON fact_doctoral_program.doctoral_candidate_person_id = fact_application.person_id
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void threeFactTablesOneConformedAttributeOneLeftJoinOneunion() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "left",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:56"
]
},
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(distinct(fact_application.person_id)) AS "col0",
COUNT(distinct(fact_doctoral_program.doctoral_program_id)) AS "col1",
NULL::bigint AS "col2"
FROM presentation.fact_application
LEFT JOIN
(SELECT DISTINCT doctoral_candidate_person_id,
doctoral_program_id
FROM presentation.fact_doctoral_program) AS fact_doctoral_program ON fact_doctoral_program.doctoral_candidate_person_id = fact_application.person_id
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
NULL::bigint AS "col0",
NULL::bigint AS "col1",
COUNT(distinct(fact_publication.publication_id)) AS "col2"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2
FROM fact_application_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2
FROM fact_publication_aggregated) x
GROUP BY gender,
g_gender,
gender_sort_order,
g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesTwoConformedAttributesUnionJoin() {
String json = """
{
"factTableId": "res_nom:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"res_nom:5",
"res_nom:7"
],
"measureIds": [
"res_nom:17"
],
"secondaryFacttables": [
{
"factId": "res_patent:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "res_nom:4",
"secondaryRolePlayingDimensionId": "res_patent:10"
}
],
"measureIds": [
"res_patent:28"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_prize_aggregated AS
(SELECT nomination_date.year_actual AS year_actual_5,
grouping(nomination_date.year_actual) AS g_year_actual_5,
nomination_date.year_actual_sort_order AS year_actual_5_year_actual_sort_order,
grouping(nomination_date.year_actual_sort_order) AS g_year_actual_5_year_actual_sort_order,
awardee.gender AS gender_7,
grouping(awardee.gender) AS g_gender_7,
awardee.gender_sort_order AS gender_7_gender_sort_order,
grouping(awardee.gender_sort_order) AS g_gender_7_gender_sort_order,
COUNT(DISTINCT (fact_prize.nomination_id)) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_prize
JOIN presentation.dim_person_researcher AS awardee ON fact_prize.person_id = awardee.id
AND awardee.is_current = TRUE
JOIN presentation.dim_date AS nomination_date ON fact_prize.nomination_date_id = nomination_date.id
GROUP BY GROUPING
SETS ((nomination_date.year_actual,
nomination_date.year_actual_sort_order,
awardee.gender, awardee.gender_sort_order), (nomination_date.year_actual,
nomination_date.year_actual_sort_order), ())
ORDER BY nomination_date.year_actual_sort_order,
awardee.gender_sort_order),
fact_patent_aggregated AS
(SELECT date_registration.year_actual AS year_actual_11,
grouping(date_registration.year_actual) AS g_year_actual_11,
date_registration.year_actual_sort_order AS year_actual_11_year_actual_sort_order,
grouping(date_registration.year_actual_sort_order) AS g_year_actual_11_year_actual_sort_order,
NULL::text AS gender_7,
1 AS g_gender_7,
NULL::bigint AS gender_7_gender_sort_order,
1 AS g_gender_7_gender_sort_order,
NULL::bigint AS "col0",
COUNT(DISTINCT (fact_patent.id)) AS "col1"
FROM presentation.fact_patent
JOIN presentation.dim_date AS date_registration ON fact_patent.registration_date_id = date_registration.id
GROUP BY GROUPING
SETS ((date_registration.year_actual,
date_registration.year_actual_sort_order), ())
ORDER BY date_registration.year_actual_sort_order)
SELECT year_actual,
year_actual_sort_order,
gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT year_actual_11 AS year_actual,
g_year_actual_11 AS g_year_actual,
year_actual_11_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_11_year_actual_sort_order AS g_year_actual_sort_order,
gender_7 AS gender,
g_gender_7 AS g_gender,
gender_7_gender_sort_order AS gender_sort_order,
g_gender_7_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_patent_aggregated
UNION ALL SELECT year_actual_5 AS year_actual,
g_year_actual_5 AS g_year_actual,
year_actual_5_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_5_year_actual_sort_order AS g_year_actual_sort_order,
gender_7 AS gender,
g_gender_7 AS g_gender,
gender_7_gender_sort_order AS gender_sort_order,
g_gender_7_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_prize_aggregated) x
GROUP BY year_actual,
g_year_actual,
year_actual_sort_order,
g_year_actual_sort_order,
gender,
g_gender,
gender_sort_order,
g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesWithFilterUnionJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [
{
"dimensionAttributeId": "app_basic:3",
"filterValues": [
"männlich"
]
}
],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:82"
],
"secondaryFacttables": [
{
"factId": "res_habilitation:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_habilitation:3"
}
],
"measureIds": [
"res_habilitation:45"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(fact_application.requestsubject_id) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
WHERE conformed_person.gender IN ('männlich')
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_habilitation_aggregated AS
(SELECT conformed_person.gender AS gender_6,
grouping(conformed_person.gender) AS g_gender_6,
conformed_person.gender_sort_order AS gender_6_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_6_gender_sort_order,
NULL::bigint AS "col0",
COUNT(distinct(fact_habilitation.person_id)) AS "col1"
FROM presentation.fact_habilitation
JOIN presentation.dim_person_doctoral AS conformed_person ON fact_habilitation.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
WHERE conformed_person.gender IN ('männlich')
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_application_aggregated
UNION ALL SELECT gender_6 AS gender,
g_gender_6 AS g_gender,
gender_6_gender_sort_order AS gender_sort_order,
g_gender_6_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_habilitation_aggregated) x
GROUP BY gender,
g_gender,
gender_sort_order,
g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesWithSortOrderColumnAsNullAttribute() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:6"
],
"measureIds": [
"app_basic:82"
],
"secondaryFacttables": [
{
"factId": "res_habilitation:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_habilitation:3"
}
],
"measureIds": [
"res_habilitation:45"
]
}
],
"topDimensionAttributeIds": []
}
""" ;
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT age_semester_start.age AS age_6,
grouping(age_semester_start.age) AS g_age_6,
age_semester_start.id AS age_6_id,
grouping(age_semester_start.id) AS g_age_6_id,
COUNT(fact_application.requestsubject_id) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_application
JOIN presentation.dim_age AS age_semester_start ON fact_application.age_semester_start_id = age_semester_start.id
GROUP BY GROUPING
SETS ((age_semester_start.age,
age_semester_start.id), ())
ORDER BY age_semester_start.id),
fact_habilitation_aggregated AS
(SELECT NULL::text AS age_6,
1 AS g_age_6,
NULL::bigint AS age_6_id,
1 AS g_age_6_id,
NULL::bigint AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_habilitation
GROUP BY GROUPING
SETS (()))
SELECT age,
id,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT age_6 AS age,
g_age_6 AS g_age,
age_6_id AS id,
g_age_6_id AS g_id,
col0,
col1
FROM fact_application_aggregated
UNION ALL SELECT age_6 AS age,
g_age_6 AS g_age,
age_6_id AS id,
g_age_6_id AS g_id,
col0,
col1
FROM fact_habilitation_aggregated) x
GROUP BY age,
g_age,
id,
g_id
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesWithFirstAttributeNullAttributeAndFollowingNonNullAttributes() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:6",
"app_basic:3"
],
"measureIds": [
"app_basic:82"
],
"secondaryFacttables": [
{
"factId": "res_habilitation:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_habilitation:3"
}
],
"measureIds": [
"res_habilitation:45"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT age_semester_start.age AS age_6,
grouping(age_semester_start.age) AS g_age_6,
age_semester_start.id AS age_6_id,
grouping(age_semester_start.id) AS g_age_6_id,
conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(fact_application.requestsubject_id) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_application
JOIN presentation.dim_age AS age_semester_start ON fact_application.age_semester_start_id = age_semester_start.id
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((age_semester_start.age,
age_semester_start.id,
conformed_person.gender, conformed_person.gender_sort_order), (age_semester_start.age,
age_semester_start.id), ())
ORDER BY age_semester_start.id,
conformed_person.gender_sort_order),
fact_habilitation_aggregated AS
(SELECT NULL::text AS age_6,
1 AS g_age_6,
NULL::bigint AS age_6_id,
1 AS g_age_6_id,
NULL::text AS gender_6,
1 AS g_gender_6,
NULL::bigint AS gender_6_gender_sort_order,
1 AS g_gender_6_gender_sort_order,
NULL::bigint AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_habilitation
GROUP BY GROUPING
SETS (()))
SELECT age,
id,
gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT age_6 AS age,
g_age_6 AS g_age,
age_6_id AS id,
g_age_6_id AS g_id,
gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_application_aggregated
UNION ALL SELECT age_6 AS age,
g_age_6 AS g_age,
age_6_id AS id,
g_age_6_id AS g_id,
gender_6 AS gender,
g_gender_6 AS g_gender,
gender_6_gender_sort_order AS gender_sort_order,
g_gender_6_gender_sort_order AS g_gender_sort_order,
col0,
col1
FROM fact_habilitation_aggregated) x
GROUP BY age,
g_age,
id,
g_id,
gender,
g_gender,
gender_sort_order,
g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesWithOneConformedRowAttributeAndOneAsymmetricColumnAttributeOuterJoin() {
String json = """
{
"factTableId": "res_pub:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"res_pub:38"
],
"measureIds": [
"res_pub:21037"
],
"secondaryFacttables": [
{
"factId": "res_nom:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "res_pub:37",
"secondaryRolePlayingDimensionId": "res_nom:4"
}
],
"measureIds": [
"res_nom:17"
]
}
],
"topDimensionAttributeIds": [
"res_pub:21048"
]
}
""";
String expectedSql = """
WITH fact_publication_aggregated AS
(SELECT date.year_actual AS year_actual_38,
grouping(date.year_actual) AS g_year_actual_38,
date.year_actual_sort_order AS year_actual_38_year_actual_sort_order,
grouping(date.year_actual_sort_order) AS g_year_actual_38_year_actual_sort_order,
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_publication.peer_reviewed = 'n. v.') AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_publication.peer_reviewed = 'ja') AS "col2",
NULL::bigint AS "col3",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_publication.peer_reviewed = 'nein') AS "col4",
NULL::bigint AS "col5"
FROM presentation.fact_publication
JOIN presentation.dim_date AS date ON fact_publication.publication_date_id = date.id
JOIN presentation.dim_publication AS conformed_publication ON fact_publication.publication_id = conformed_publication.id
GROUP BY GROUPING
SETS ((date.year_actual,
date.year_actual_sort_order), ())
ORDER BY date.year_actual_sort_order),
fact_prize_aggregated AS
(SELECT nomination_date.year_actual AS year_actual_5,
grouping(nomination_date.year_actual) AS g_year_actual_5,
nomination_date.year_actual_sort_order AS year_actual_5_year_actual_sort_order,
grouping(nomination_date.year_actual_sort_order) AS g_year_actual_5_year_actual_sort_order,
NULL::bigint AS "col0",
NULL::bigint AS "col1",
NULL::bigint AS "col2",
NULL::bigint AS "col3",
NULL::bigint AS "col4",
NULL::bigint AS "col5"
FROM presentation.fact_prize
JOIN presentation.dim_date AS nomination_date ON fact_prize.nomination_date_id = nomination_date.id
GROUP BY GROUPING
SETS ((nomination_date.year_actual,
nomination_date.year_actual_sort_order), ())
ORDER BY nomination_date.year_actual_sort_order)
SELECT year_actual,
year_actual_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2,
SUM(col3) AS col3,
SUM(col4) AS col4,
SUM(col5) AS col5
FROM
(SELECT year_actual_38 AS year_actual,
g_year_actual_38 AS g_year_actual,
year_actual_38_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_38_year_actual_sort_order AS g_year_actual_sort_order,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_publication_aggregated
UNION ALL SELECT year_actual_5 AS year_actual,
g_year_actual_5 AS g_year_actual,
year_actual_5_year_actual_sort_order AS year_actual_sort_order,
g_year_actual_5_year_actual_sort_order AS g_year_actual_sort_order,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_prize_aggregated) x
GROUP BY year_actual,
g_year_actual,
year_actual_sort_order,
g_year_actual_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesWithTopAttributesWithDifferentValuesOuterJoin() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": [
"app_basic:144"
]
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'n. v.') AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col2",
NULL::bigint AS "col3",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col4",
NULL::bigint AS "col5"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
NULL::bigint AS "col0",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'n. v.') AS "col1",
NULL::bigint AS "col2",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col3",
NULL::bigint AS "col4",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col5"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2,
SUM(col3) AS col3,
SUM(col4) AS col4,
SUM(col5) AS col5
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_application_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_publication_aggregated) x
GROUP BY gender,
g_gender,
gender_sort_order,
g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesTwoFilterForTopAndRowAttributes() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [
{
"dimensionAttributeId": "app_basic:3",
"filterValues": [
"männlich",
"weiblich"
]
},
{
"dimensionAttributeId": "app_basic:144",
"filterValues": [
"Ja",
"Nein"
]
}
],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": [
"app_basic:144"
]
}
""" ;
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col2",
NULL::bigint AS "col3"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
WHERE conformed_person.gender IN ('männlich', 'weiblich')
AND conformed_person.german IN ('Ja', 'Nein')
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
NULL::bigint AS "col0",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col1",
NULL::bigint AS "col2",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col3"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
WHERE conformed_person.gender IN ('männlich', 'weiblich')
AND conformed_person.german IN ('Ja', 'Nein')
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2,
SUM(col3) AS col3
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2,
col3
FROM fact_application_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2,
col3
FROM fact_publication_aggregated) x
GROUP BY gender, g_gender, gender_sort_order, g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void totalsColumnTwoFactTablesOneTopOneLeftAttribute() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": [
"app_basic:144"
]
}
""" ;
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'n. v.') AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col2",
NULL::bigint AS "col3",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col4",
NULL::bigint AS "col5"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
NULL::bigint AS "col0",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'n. v.') AS "col1",
NULL::bigint AS "col2",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col3",
NULL::bigint AS "col4",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col5"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2,
SUM(col3) AS col3,
SUM(col4) AS col4,
SUM(col5) AS col5
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_application_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_publication_aggregated) x
GROUP BY gender, g_gender, gender_sort_order, g_gender_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void twoFactTablesWithOneSymmetricOneAsymmetricLeftAttributeOneConformedTopAttribute() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:3",
"app_basic:12"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_pub:21020"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": [
"app_basic:144"
]
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT conformed_person.gender AS gender_3,
grouping(conformed_person.gender) AS g_gender_3,
conformed_person.gender_sort_order AS gender_3_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_3_gender_sort_order,
conformed_location.country AS country_12,
grouping(conformed_location.country) AS g_country_12,
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'n. v.') AS "col0",
NULL::bigint AS "col1",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col2",
NULL::bigint AS "col3",
COUNT(DISTINCT fact_application.person_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col4",
NULL::bigint AS "col5"
FROM presentation.fact_application
JOIN presentation.dim_person_applicant AS conformed_person ON fact_application.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
JOIN presentation.dim_location AS conformed_location ON fact_application.location_lid = conformed_location.lid
AND conformed_location.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order,
conformed_location.country), (conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order,
country_12),
fact_publication_aggregated AS
(SELECT conformed_person.gender AS gender_21021,
grouping(conformed_person.gender) AS g_gender_21021,
conformed_person.gender_sort_order AS gender_21021_gender_sort_order,
grouping(conformed_person.gender_sort_order) AS g_gender_21021_gender_sort_order,
NULL::text AS country_12,
1 AS g_country_12,
NULL::bigint AS "col0",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'n. v.') AS "col1",
NULL::bigint AS "col2",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Ja') AS "col3",
NULL::bigint AS "col4",
COUNT(DISTINCT fact_publication.publication_id) FILTER ( WHERE conformed_person.german = 'Nein') AS "col5"
FROM presentation.fact_publication
JOIN presentation.dim_person_researcher AS conformed_person ON fact_publication.person_id = conformed_person.id
AND conformed_person.is_current = TRUE
GROUP BY GROUPING
SETS ((conformed_person.gender, conformed_person.gender_sort_order), ())
ORDER BY conformed_person.gender_sort_order)
SELECT gender,
gender_sort_order,
country,
SUM(col0) AS col0,
SUM(col1) AS col1,
SUM(col2) AS col2,
SUM(col3) AS col3,
SUM(col4) AS col4,
SUM(col5) AS col5
FROM
(SELECT gender_3 AS gender,
g_gender_3 AS g_gender,
gender_3_gender_sort_order AS gender_sort_order,
g_gender_3_gender_sort_order AS g_gender_sort_order,
country_12 AS country,
g_country_12 AS g_country,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_application_aggregated
UNION ALL SELECT gender_21021 AS gender,
g_gender_21021 AS g_gender,
gender_21021_gender_sort_order AS gender_sort_order,
g_gender_21021_gender_sort_order AS g_gender_sort_order,
country_12 AS country,
g_country_12 AS g_country,
col0,
col1,
col2,
col3,
col4,
col5
FROM fact_publication_aggregated) x
GROUP BY gender,
g_gender,
gender_sort_order,
g_gender_sort_order,
country,
g_country
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void testConformedWithHiddenEmptyColumns() throws Exception {
String json = """
{
"factTableId": "res_nom:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"res_nom:79102",
"res_nom:79101"
],
"measureIds": [
"res_nom:17"
],
"secondaryFacttables": [
{
"factId": "res_infra:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "res_nom:4",
"secondaryRolePlayingDimensionId": "res_infra:34"
},
{
"leadingRolePlayingDimensionId": "res_nom:79090",
"secondaryRolePlayingDimensionId": "res_infra:79074"
}
],
"measureIds": [
"res_infra:16"
]
}
],
"topDimensionAttributeIds": [
"res_nom:5"
]
}
""";
String expectedColumnsJson = """
{
"columns": [
{
"field": "res_nom:79102",
"header": "Typ"
},
{
"field": "res_nom:79101",
"header": "Name Organisationseinheit"
},
{
"field": "conf:49: conf:50|n. v. || Kennzahl|res_nom:17",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|n. v. || Kennzahl|Preisanerkennungen [Anzahl] (PR)"
},
{
"field": "conf:49: conf:50|n. v. || Kennzahl|res_infra:16",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|n. v. || Kennzahl|Forschungsinfrastruktur [Anzahl] (FI)"
},
{
"field": "conf:49: conf:50|2023 || Kennzahl|res_nom:17",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2023 || Kennzahl|Preisanerkennungen [Anzahl] (PR)"
},
{
"field": "conf:49: conf:50|2023 || Kennzahl|res_infra:16",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2023 || Kennzahl|Forschungsinfrastruktur [Anzahl] (FI)"
},
{
"field": "conf:49: conf:50|2024 || Kennzahl|res_nom:17",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2024 || Kennzahl|Preisanerkennungen [Anzahl] (PR)"
},
{
"field": "conf:49: conf:50|2024 || Kennzahl|res_infra:16",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2024 || Kennzahl|Forschungsinfrastruktur [Anzahl] (FI)"
},
{
"field": "conf:49: conf:50|2025 || Kennzahl|res_nom:17",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2025 || Kennzahl|Preisanerkennungen [Anzahl] (PR)"
},
{
"field": "conf:49: conf:50|2025 || Kennzahl|res_infra:16",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2025 || Kennzahl|Forschungsinfrastruktur [Anzahl] (FI)"
},
{
"field": "conf:49: conf:50|2026 || Kennzahl|res_nom:17",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2026 || Kennzahl|Preisanerkennungen [Anzahl] (PR)"
},
{
"field": "conf:49: conf:50|2026 || Kennzahl|res_infra:16",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung|2026 || Kennzahl|Forschungsinfrastruktur [Anzahl] (FI)"
},
{
"field": "conf:49: conf:50|Gesamt || Kennzahl|res_nom:17",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung| Gesamt || Kennzahl|Preisanerkennungen [Anzahl] (PR)"
},
{
"field": "conf:49: conf:50|Gesamt || Kennzahl|res_infra:16",
"header": "Jahr der Auszeichnung: Jahr der Auszeichnung| Gesamt || Kennzahl|Forschungsinfrastruktur [Anzahl] (FI)"
}
]
}
""";
List<Column> actualColumns = getResultColumnsFromReport(json, dbAdapter, biAnalysisManager);
List<Column> expectedColumns = BIATestUtils.parseColumns(expectedColumnsJson);
assertEquals("Column list size differs", expectedColumns.size(), actualColumns.size());
for (int i = 0; i < expectedColumns.size(); i++) {
Column expected = expectedColumns.get(i);
Column actual = actualColumns.get(i);
assertEquals("Field differs at index " + i, expected.field, actual.field);
assertEquals("Header differs at index " + i, expected.header, actual.header);
}
}
@Test
public void testCriteriaGroupWithUnion() {
String json = """
{
"factTableId": "app_basic:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"app_basic:12393"
],
"measureIds": [
"app_basic:80"
],
"secondaryFacttables": [
{
"factId": "res_doctoral_program:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "app_basic:2",
"secondaryRolePlayingDimensionId": "res_doctoral_program:3"
}
],
"measureIds": [
"res_doctoral_program:57"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_application_aggregated AS
(SELECT age_semester_start.age_category_his AS age_category_his_12393,
grouping(age_semester_start.age_category_his) AS g_age_category_his_12393,
age_semester_start.age_category_his_sort_order AS age_category_his_12393_age_category_his_sort_order,
grouping(age_semester_start.age_category_his_sort_order) AS g_age_category_his_12393_age_category_his_sort_order,
COUNT(DISTINCT (fact_application.person_id)) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_application
JOIN presentation.dim_age AS age_semester_start ON fact_application.age_semester_start_id = age_semester_start.id
GROUP BY GROUPING
SETS ((age_semester_start.age_category_his,
age_semester_start.age_category_his_sort_order), ())
ORDER BY age_semester_start.age_category_his_sort_order),
fact_doctoral_program_aggregated AS
(SELECT NULL::text AS age_category_his_12393,
1 AS g_age_category_his_12393,
NULL::bigint AS age_category_his_12393_age_category_his_sort_order,
1 AS g_age_category_his_12393_age_category_his_sort_order,
NULL::bigint AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_doctoral_program
GROUP BY GROUPING
SETS (()))
SELECT age_category_his,
age_category_his_sort_order,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT age_category_his_12393 AS age_category_his,
g_age_category_his_12393 AS g_age_category_his,
age_category_his_12393_age_category_his_sort_order AS age_category_his_sort_order,
g_age_category_his_12393_age_category_his_sort_order AS g_age_category_his_sort_order,
col0,
col1
FROM fact_application_aggregated
UNION ALL SELECT age_category_his_12393 AS age_category_his,
g_age_category_his_12393 AS g_age_category_his,
age_category_his_12393_age_category_his_sort_order AS age_category_his_sort_order,
g_age_category_his_12393_age_category_his_sort_order AS g_age_category_his_sort_order,
col0,
col1
FROM fact_doctoral_program_aggregated) x
GROUP BY age_category_his,
g_age_category_his,
age_category_his_sort_order,
g_age_category_his_sort_order
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void testWithFirstTwoLeftAttributesNonNullAndLastAttributeNull() {
String json = """
{
"factTableId": "res:66",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"res:79093",
"res:619",
"res:627"
],
"measureIds": [
"res:104"
],
"secondaryFacttables": [
{
"factId": "res_pub:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "res:79091",
"secondaryRolePlayingDimensionId": "res_pub:79096"
},
{
"leadingRolePlayingDimensionId": "res:618",
"secondaryRolePlayingDimensionId": "res_pub:2"
}
],
"measureIds": [
"res_pub:21037"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_project_aggregated AS
(SELECT orgunit_project_person_flat.orgunittype AS orgunittype_79093,
grouping(orgunit_project_person_flat.orgunittype) AS g_orgunittype_79093,
project_publication.title AS title_619,
grouping(project_publication.title) AS g_title_619,
project.project_name AS project_name_627,
grouping(project.project_name) AS g_project_name_627,
COUNT(DISTINCT (fact_project.project_id)) AS "col0",
NULL::bigint AS "col1"
FROM presentation.fact_project
JOIN presentation.dim_orgunit_flat AS orgunit_project_person_flat ON fact_project.orgunit_project_person_lid = orgunit_project_person_flat.lid
AND orgunit_project_person_flat.is_current = TRUE
JOIN presentation.dim_project AS project ON fact_project.project_id = project.id
JOIN presentation.dim_publication AS project_publication ON fact_project.publication_id = project_publication.id
GROUP BY GROUPING
SETS ((orgunit_project_person_flat.orgunittype,
project_publication.title,
project.project_name), (orgunit_project_person_flat.orgunittype,
project_publication.title), (orgunit_project_person_flat.orgunittype), ())
ORDER BY orgunittype_79093,
title_619,
project_name_627),
fact_publication_aggregated AS
(
SELECT creator_orgunit_flat.orgunittype AS orgunittype_79098,
grouping(creator_orgunit_flat.orgunittype) AS g_orgunittype_79098,
conformed_publication.title AS title_21047,
grouping(conformed_publication.title) AS g_title_21047,
NULL::text AS project_name_627,
1 AS g_project_name_627,
NULL::bigint AS "col0",
COUNT(DISTINCT (fact_publication.publication_id)) AS "col1"
FROM presentation.fact_publication
JOIN presentation.dim_publication AS conformed_publication ON fact_publication.publication_id = conformed_publication.id
JOIN presentation.dim_orgunit_flat AS creator_orgunit_flat ON fact_publication.creator_orgunit_lid = creator_orgunit_flat.lid
AND creator_orgunit_flat.is_current = TRUE
GROUP BY GROUPING
SETS ((creator_orgunit_flat.orgunittype,
conformed_publication.title), (creator_orgunit_flat.orgunittype), ())
ORDER BY orgunittype_79098,
title_21047
)
SELECT orgunittype,
title,
project_name,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT orgunittype_79093 AS orgunittype,
g_orgunittype_79093 AS g_orgunittype,
title_619 AS title,
g_title_619 AS g_title,
project_name_627 AS project_name,
g_project_name_627 AS g_project_name,
col0,
col1
FROM fact_project_aggregated
UNION ALL SELECT orgunittype_79098 AS orgunittype,
g_orgunittype_79098 AS g_orgunittype,
title_21047 AS title,
g_title_21047 AS g_title,
project_name_627 AS project_name,
g_project_name_627 AS g_project_name,
col0,
col1
FROM fact_publication_aggregated) x
GROUP BY orgunittype,
g_orgunittype,
title,
g_title,
project_name,
g_project_name
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
@Test
public void testRightReplacementForUnion() {
String json = """
{
"factTableId": "res_pub:1",
"filters": [],
"hideEmptyColumns": false,
"leftDimensionAttributeIds": [
"res_pub:79097"
],
"measureIds": [
"res_pub:21037"
],
"secondaryFacttables": [
{
"factId": "res_nom:1",
"join": "union",
"joinCriterias": [
{
"leadingRolePlayingDimensionId": "res_pub:79096",
"secondaryRolePlayingDimensionId": "res_nom:79090"
}
],
"measureIds": [
"res_nom:17"
]
}
],
"topDimensionAttributeIds": []
}
""";
String expectedSql = """
WITH fact_publication_aggregated AS
(SELECT creator_orgunit_flat.orgunit_name AS orgunit_name_79097,
grouping(creator_orgunit_flat.orgunit_name) AS g_orgunit_name_79097,
COUNT(DISTINCT (fact_publication.publication_id)) AS "col0",
NULL::bigint AS "col1"
FROM (SELECT * FROM presentation.fact_publication) AS fact_publication
JOIN presentation.dim_orgunit_flat AS creator_orgunit_flat ON fact_publication.creator_orgunit_lid = creator_orgunit_flat.lid
AND creator_orgunit_flat.is_current = TRUE
GROUP BY GROUPING
SETS ((creator_orgunit_flat.orgunit_name), ())
ORDER BY orgunit_name_79097),
fact_prize_aggregated AS
(SELECT orgunit_intern_flat.orgunit_name AS orgunit_name_79101,
grouping(orgunit_intern_flat.orgunit_name) AS g_orgunit_name_79101,
NULL::bigint AS "col0",
COUNT(DISTINCT (fact_prize.nomination_id)) AS "col1"
FROM (SELECT * FROM presentation.fact_prize) AS fact_prize
JOIN presentation.dim_orgunit_flat AS orgunit_intern_flat ON fact_prize.orgunit_intern_lid = orgunit_intern_flat.lid
AND orgunit_intern_flat.is_current = TRUE
GROUP BY GROUPING
SETS ((orgunit_intern_flat.orgunit_name), ())
ORDER BY orgunit_name_79101)
SELECT orgunit_name,
SUM(col0) AS col0,
SUM(col1) AS col1
FROM
(SELECT orgunit_name_79097 AS orgunit_name,
g_orgunit_name_79097 AS g_orgunit_name,
col0,
col1
FROM fact_publication_aggregated
UNION ALL SELECT orgunit_name_79101 AS orgunit_name,
g_orgunit_name_79101 AS g_orgunit_name,
col0,
col1
FROM fact_prize_aggregated) x
GROUP BY orgunit_name,
g_orgunit_name
""";
String actualSqlParsed = getSqlFromReportDefinition(json, dbAdapter);
actualSqlParsed = dbAdapter.applyAccessRestrictions(actualSqlParsed);
String expectedSqlParsed = getParsedSqlFromString(expectedSql);
assertEquals(expectedSqlParsed, actualSqlParsed);
}
}