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Preface

This report covers the following products.

  • Pentaho Analysis 5.1.0.0-752 ( 3.7.0.0-752 )
  • Impala impalad version cdh5-1.3.0 RELEASE
  • Simba driver for Impala JDBC4 2.5.5.1007

Feature

Status

Notes

Degenerate Schemas

Image Removed

 

Star Schemas

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Snowflake Schemas

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Not all join structures are properly handled. The JDBC parser fails to parse certain types of schemas.

Filters

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Complex compound filters produce wrong numbers.

Top Count

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Aggregation Tables

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Null Values & Keys

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Inline Tables

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Distinct Count

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Not all forms of distinct counts are supported, although the minimum support it offers is sufficient for Mondrian.

Grouping Sets

Image Removed

Grouping sets are not supported.

Failures

Complex filtering clauses cause wrong numbers to be returned

Symptom

When a complex compound predicate is used within a SQL query, the driver makes errors while parsing and the returned numbers are wrong.

Failed tests

...

Test

...

Result

...

org.pentaho.mondrian.tck.NativeFilterTest.testCompoundPredicate

...

Code Block
select sum(sales_fact_1997.unit_sales) as m0
  from store store
     , product product
     , sales_fact_1997 sales_fact_1997
 where sales_fact_1997.store_id  = store.store_id
   and sales_fact_1997.product_id = product.product_id
   and ((
           store.store_country     = 'USA'
       and store.first_opened_date = '1981-01-03'
       and store.last_remodel_date = TIMESTAMP '1991-03-13 00:00:00'
       )
    or (
         store.store_city          = 'San Diego'
     and store.store_state         = 'CA'
       )
    or (
         store.store_state         = 'WA'
     and store.store_sqft          > 50000
     and product.gross_weight      = 17.1
       )
    or (
         store.store_sqft is null
       )
    )
Code Block
org.junit.ComparisonFailure: Row content doesn't match. expected:<[60,662]> but was:<[39,329]>
	at org.junit.Assert.assertEquals(Assert.java:115)
	at org.pentaho.mondrian.tck.SqlExpectation.validateRows(SqlExpectation.java:142)
	at org.pentaho.mondrian.tck.SqlExpectation.verify(SqlExpectation.java:64)
	at org.pentaho.mondrian.tck.SqlContext.verify(SqlContext.java:75)
	at org.pentaho.mondrian.tck.NativeFilterTest.testCompoundPredicate(NativeFilterTest.java:224)

...

org.pentaho.mondrian.tck.NativeFilterTest.testCompoundPredicateNoJoinsDateLiteralSyntax

...

Code Block
select sum(store.store_sqft) as m0
  from store store
 where (
           store.store_country     = 'USA'
       and store.first_opened_date = '1981-01-03'
       and store.last_remodel_date = TIMESTAMP '1991-03-13 00:00:00'
       )
    or (
         store.store_city        = 'San Diego'
     and store.store_state       = 'CA'
       )
    or (
         store.store_state       = 'WA'
     and store.store_sqft        > 30000
       )
    or ( store.store_sqft is null)
Code Block
org.junit.ComparisonFailure: Row content doesn't match. expected:<1[27,510]> but was:<1[03822]>
	at org.junit.Assert.assertEquals(Assert.java:115)
	at org.pentaho.mondrian.tck.SqlExpectation.validateRows(SqlExpectation.java:142)
	at org.pentaho.mondrian.tck.SqlExpectation.verify(SqlExpectation.java:64)
	at org.pentaho.mondrian.tck.SqlContext.verify(SqlContext.java:75)
	at org.pentaho.mondrian.tck.NativeFilterTest.testCompoundPredicateNoJoinsDateLiteralSyntax(NativeFilterTest.java:230)

Support for database joins

Symptom

Not all forms of joins are supported by the database. This will prevent some types of schemas from being supported on the DB evaluated. In this case, the driver fails on implicit crossjoins, as well as complex snowflake schemas. This will impair Mondrian's capability to use snowflake schemas with this driver.

Failed tests

...

Test

...

Result

...

org.pentaho.mondrian.tck.JoinTest.testThreeWayJoinPlusDoubleStarLeaf89
org.pentaho.mondrian.tck.JoinTest.testThreeWayJoinPlusDoubleStarLeaf92

...

Code Block

D1'<--
      \
D1''<--D1<--      ----->D2
            \    /
             Fact
D3 <-------/
Code Block
Caused by: java.sql.SQLException: [Simba][ImpalaJDBCDriver](500051) ERROR processing query/statement. Error Code: 0, SQL state: TStatus(statusCode:ERROR_STATUS, sqlState:HY000, errorMessage:AnalysisException: Unqualified column reference 'description' is ambiguous), Query: SELECT `warehouse_class`.`description`, `wc2`.`description`, `warehouse`.`warehouse_id`, `inventory_fact_1997`.`store_id`, `time_by_day`.`time_id`, `product`.`product_id` FROM `default`.`warehouse`, `default`.`inventory_fact_1997`, `default`.`product`, `default`.`time_by_day`, `default`.`warehouse_class`, `default`.`warehouse_class` `wc2` WHERE ((`wc2`.`warehouse_class_id` = `warehouse`.`warehouse_class_id`) AND ((`warehouse_class`.`warehouse_class_id` = `warehouse`.`warehouse_class_id`) AND ((`inventory_fact_1997`.`product_id` = `product`.`product_id`) AND ((`inventory_fact_1997`.`warehouse_id` = `warehouse`.`warehouse_id`) AND (`inventory_fact_1997`.`time_id` = `time_by_day`.`time_id`))))) ORDER BY `warehouse`.`warehouse_id` ASC, `inventory_fact_1997`.`store_id` ASC, `time_by_day`.`time_id` ASC, `product`.`product_id` ASC.
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatementInternal(HS2Client.java:832)
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatement(HS2Client.java:287)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCNativeQueryExecutor.executeQuery(HiveJDBCNativeQueryExecutor.java:487)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCDSIExtQueryExecutor.execute(HiveJDBCDSIExtQueryExecutor.java:165)
	at com.cloudera.impala.jdbc.common.SStatement.executeNoParams(SStatement.java:2695)
	at com.cloudera.impala.jdbc.common.SStatement.execute(SStatement.java:566)
	at org.pentaho.mondrian.tck.SqlExpectation$Builder$1.getData(SqlExpectation.java:269)
	at org.pentaho.mondrian.tck.SqlContext.verify(SqlContext.java:73)
	at org.pentaho.mondrian.tck.JoinTest.testThreeWayJoinPlusDoubleStarLeaf89(JoinTest.java:343)
Code Block
Caused by: java.sql.SQLException: [Simba][ImpalaJDBCDriver](500051) ERROR processing query/statement. Error Code: 0, SQL state: TStatus(statusCode:ERROR_STATUS, sqlState:HY000, errorMessage:AnalysisException: Unqualified column reference 'description' is ambiguous), Query: SELECT `warehouse_class`.`description`, `wc2`.`description`, `warehouse`.`warehouse_id`, `inventory_fact_1997`.`store_id`, `time_by_day`.`time_id`, `product`.`product_id` FROM `default`.`inventory_fact_1997` INNER JOIN `default`.`warehouse` ON (`inventory_fact_1997`.`warehouse_id` = `warehouse`.`warehouse_id`) INNER JOIN `default`.`product` ON (`inventory_fact_1997`.`product_id` = `product`.`product_id`) INNER JOIN `default`.`time_by_day` ON (`inventory_fact_1997`.`time_id` = `time_by_day`.`time_id`) INNER JOIN `default`.`warehouse_class` ON (`warehouse_class`.`warehouse_class_id` = `warehouse`.`warehouse_class_id`) INNER JOIN `default`.`warehouse_class` `wc2` ON (`wc2`.`warehouse_class_id` = `warehouse`.`warehouse_class_id`) ORDER BY `warehouse`.`warehouse_id` ASC, `inventory_fact_1997`.`store_id` ASC, `time_by_day`.`time_id` ASC, `product`.`product_id` ASC.
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatementInternal(HS2Client.java:832)
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatement(HS2Client.java:287)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCNativeQueryExecutor.executeQuery(HiveJDBCNativeQueryExecutor.java:487)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCDSIExtQueryExecutor.execute(HiveJDBCDSIExtQueryExecutor.java:165)
	at com.cloudera.impala.jdbc.common.SStatement.executeNoParams(SStatement.java:2695)
	at com.cloudera.impala.jdbc.common.SStatement.execute(SStatement.java:566)
	at org.pentaho.mondrian.tck.SqlExpectation$Builder$1.getData(SqlExpectation.java:269)
	at org.pentaho.mondrian.tck.SqlContext.verify(SqlContext.java:73)
	at org.pentaho.mondrian.tck.JoinTest.testThreeWayJoinPlusDoubleStarLeaf92(JoinTest.java:381)

...

org.pentaho.mondrian.tck.JoinTest.testImplicitJoin

...

Code Block
Caused by: java.sql.SQLException: [Simba][ImpalaJDBCDriver](500051) ERROR processing query/statement. Error Code: 0, SQL state: TStatus(statusCode:ERROR_STATUS, sqlState:HY000, errorMessage:NotImplementedException: Join with 'default.warehouse_class' requires at least one conjunctive equality predicate. To perform a Cartesian product between two tables, use a CROSS JOIN.), Query: SELECT `warehouse`.`warehouse_id`, `warehouse_class`.`description` FROM `default`.`warehouse`, `default`.`warehouse_class`.
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatementInternal(HS2Client.java:832)
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatement(HS2Client.java:287)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCNativeQueryExecutor.executeQuery(HiveJDBCNativeQueryExecutor.java:487)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCDSIExtQueryExecutor.execute(HiveJDBCDSIExtQueryExecutor.java:165)
	at com.cloudera.impala.jdbc.common.SStatement.executeNoParams(SStatement.java:2695)
	at com.cloudera.impala.jdbc.common.SStatement.execute(SStatement.java:566)
	at org.pentaho.mondrian.tck.SqlExpectation$Builder$1.getData(SqlExpectation.java:269)
	at org.pentaho.mondrian.tck.SqlContext.verify(SqlContext.java:73)
	at org.pentaho.mondrian.tck.JoinTest.testImplicitJoin(JoinTest.java:120)

Warnings

Distinct Count

Symptom

Not all forms of distinct count queries are supported. One form of distinct count for multiple columns is supported however, so mondrian can batch the queries as needed. The integration tests have also shown that the dialect is issuing the distinct count queries correctly.

Failed tests

...

Test

...

Result

...

org.pentaho.mondrian.tck.AggregationTest.testDistinctTwoCount

...

Code Block
Caused by: java.sql.SQLException: [Simba][ImpalaJDBCDriver](500051) ERROR processing query/statement. Error Code: 0, SQL state: TStatus(statusCode:ERROR_STATUS, sqlState:HY000, errorMessage:AnalysisException: all DISTINCT aggregate functions need to have the same set of parameters as count(DISTINCT sales_fact_1997.unit_sales); deviating function: count(DISTINCT sales_fact_1997.store_id)), Query: SELECT COUNT(DISTINCT `sales_fact_1997`.`unit_sales`) as `count_sales`, COUNT(DISTINCT `sales_fact_1997`.`store_id`) as `count_store_id` FROM `default`.`sales_fact_1997`.
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatementInternal(HS2Client.java:832)
	at com.cloudera.impala.hivecommon.api.HS2Client.executeStatement(HS2Client.java:287)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCNativeQueryExecutor.executeQuery(HiveJDBCNativeQueryExecutor.java:487)
	at com.cloudera.impala.hivecommon.dataengine.HiveJDBCDSIExtQueryExecutor.execute(HiveJDBCDSIExtQueryExecutor.java:165)
	at com.cloudera.impala.jdbc.common.SStatement.executeNoParams(SStatement.java:2695)
	at com.cloudera.impala.jdbc.common.SStatement.execute(SStatement.java:566)
	at org.pentaho.mondrian.tck.SqlExpectation$Builder$1.getData(SqlExpectation.java:269)
	at org.pentaho.mondrian.tck.SqlContext.verify(SqlContext.java:73)
	at org.pentaho.mondrian.tck.AggregationTest.testDistinctTwoCount(AggregationTest.java:200)

Grouping sets

Symptom

Queries which use grouping sets are not supported. This is a optimization feature supported by some more advanced databases. It allows to batch cell requests and improve the overall performance.

Failed tests

...

Test

...

Result

...

org.pentaho.mondrian.tck.GroupingSetTest.testEmptyEntry

...

Code Block
select
    customer.gender as gender, sum(sales_fact_1997.store_cost) as sum_cost
from
    time_by_day, sales_fact_1997, customer
where
    (sales_fact_1997.time_id = time_by_day.time_id and time_by_day.the_year = 1997
    and sales_fact_1997.customer_id = customer.customer_id)
group by grouping sets
    ((customer.gender),())

...

org.pentaho.mondrian.tck.GroupingSetTest.testPlainEntry

...

Code Block
select
    customer.gender as gender, sum(sales_fact_1997.store_cost) as sum_cost
from
    time_by_day, sales_fact_1997, customer
where
    (sales_fact_1997.time_id = time_by_day.time_id and time_by_day.the_year = 1997
    and sales_fact_1997.customer_id = customer.customer_id)
group by grouping sets
    ((customer.gender))

...

org.pentaho.mondrian.tck.GroupingSetTest.testComplexEntry

...

Code Block
select
    time_by_day.the_year as the_year, customer.gender as gender, sum(sales_fact_1997.store_cost) as sum_cost
from
    time_by_day, sales_fact_1997, customer
where
    (sales_fact_1997.time_id = time_by_day.time_id and time_by_day.the_year = 1997
    and sales_fact_1997.customer_id = customer.customer_id)
group by grouping sets
    ((time_by_day.the_year, customer.gender))

...

org.pentaho.mondrian.tck.GroupingSetTest.testMultipleEntries

...

Code Block
select
    time_by_day.the_year as the_year, customer.gender as gender, sum(sales_fact_1997.store_cost) as sum_cost
from
    time_by_day, sales_fact_1997, customer
where
    (sales_fact_1997.time_id = time_by_day.time_id and time_by_day.the_year = 1997
    and sales_fact_1997.customer_id = customer.customer_id)
group by grouping sets
    ((time_by_day.the_year, customer.gender), (time_by_day.the_year),())

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