mariadb-corporation / mariadb-powerbi

Power BI DirectQuery Connector
https://mariadb.com
3 stars 1 forks source link

DataType Issues #15

Closed hankdetank closed 3 years ago

hankdetank commented 3 years ago

Hello all,

I recently started to use mariadb columnstore in combination with powerbi. I am a bit new with both so i just hope i am doing something wrong here and the issue could be easily solved.

I am using powerbi with mariadb in directquery mode.

Problem: Int(11) is not seen as an Integer by powerbi, therefor all int(11) will be casted to integer in the query Date is not seen as a DateTime by powerbi, therefor all dates will be casted to datetime Here i asume the full table will be copied to to a TMP table making the queries heavier and slower.

Quick fix: Changed my int(11) to a double Change my date to a datetime.

My original date dimension:

CREATE TABLE dim_date ( id int, datedate Date, datetime datetime, day Integer, day_name varchar(15), month Integer, month_name varchar(15), year Integer, date varchar(10), week_number Integer, quarter Integer, quarter_name varchar(2), year_month varchar(7), year_quarter varchar(7), is_weekday BOOLEAN, is_weekend BOOLEAN ) ENGINE = ColumnStore;

Problem here: Integer becomes Int(11) in mariadb

==========================

My original fact:

use warehouse; Drop Table fact ; CREATE TABLE fact ( //removed amount double, dim_date int, dim_time int //removed )ENGINE=ColumnStore ;

================

When i inspected the query's in mariadb i noticed the following:

where ((cast('ITBL'.'datedate' as DATETIME) in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 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?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?))) and 'OTBL'.'status' = ?

AND

cast('day' as INTEGER) as 'C1', 'day_name', cast('month' as INTEGER) as 'C2', OR cast('day' as DOUBLE) as 'C1', 'day_name', cast('month' as DOUBLE) as 'C2',

Expected issue: I think somewhere the data type int(11) is not seen as a synonym for INTEGER.

ilyagithub1 commented 3 years ago

@hankdetank

Thank you for the detailed report.

There are no functional issues. Power BI Mashup Engine is doing its job by generating generic SQL statements disregarding database engine-specific nuances.

1. INT(11)

Int(11) is not seen as an Integer by powerbi, therefor all int(11) will be casted to integer in the query

INT(11) is a synonym for INTEGER and INT in MariaDB. Number 11 in this case defines the display width of the integer data type. It supports the ZEROFILL non-standard MySQL and MariaDB enhancement.

Because INT(11), INT and INTEGER as synonyms there is no performance overhead when doing CAST('day' as INTEGER). Power BI is unaware of INT(11), hence the cast.

In Power BI User Interface, all INT(11) columns are identified as Data Type: Whole Number, so it is seen by Power BI as integer, in fact.

Quick fix: Changed my int(11) to a double

There is no need to change INT(11) with DOUBLE. It unnecessarily doubles the storage size for your data (INT is 4 bytes, DOUBLE is 8 bytes), which is likely to degrade query performance.

Recommendation: keep INT in your DDL statements, and never mind Power BI Mashup Engine-generated CAST('columnname' AS INTEGER).

2. DATE and DATETIME

Date is not seen as a DateTime by powerbi, therefor all dates will be casted to datetime

The first part is not quite correct. In Power BI User Interface, DATE columns are seen as Data Type: Date columns, which is different from DATETIME columns that are seens as Data Type: Date/Time - see the screenshots (the table was created using your SQL statement, no data transformations have been applied in Power BI):

Issue-15-Date-column

Issue-15-DateTime-column

cast('ITBL'.'datedate' as DATETIME)

Date is not seen as a DateTime by powerbi, therefor all dates will be casted to datetime

Power BI may convert all dates to datetime but it does not do it all the time.

Converting date to datetime is a known Power BI issue discussed on Community Forums. Power BI does the conversion when there is a possibility that the user might start comparing DATE and DATETIME values. In DAX, Date format is DateTime only set to midnight.

As you start building your report, you may notice that some SQL queries generated by Power BI do not convert to DATETIME.

Here is a simple report with four columns from your dim_date column in a table visual in Power BI and the SQL query (recovered from Diagnostic Logs) that Power BI generated does not convert the datedate column:

Issue-15-Date-column-2

..."SqlTranslator/SqlParser/Parse","HostProcessId":"2768","SQL":"\nSELECT \nTOP (1000001) [t0].[datedate],[t0].[datetime],[t0].[day_name],SUM([t0].[day])\n AS [a0]\nFROM [dim_date] AS [t0]\nGROUP BY [t0].[datedate],[t0].[datetime],[t0].[day_name] "...

Thus, there is no need to change your DATE to a DATETIME in your table definition in MariaDB.

Recommendation: keep you DATE columns.

3. Here i asume the full table will be copied to to a TMP table making the queries heavier and slower.

This is highly unlikely. If you find it otherwise, feel free to post additional information here.


Thank you for using MariaDB and MariaDB Power BI Connector.

hankdetank commented 3 years ago

@ilyagithub1 Thank you for the answers they make sense. But i still have some questions and extra data.

About answer 1. I am trying to reproduce the issue of the cast integer and try to analyse it with calGetTrace(), but i dont completely get the output of calGetTrace(). But i noticed that the LIO is higher on the querys i cast compared to the once i dont cast. But i dont get wat LIO means The docs say: LIO – Logical I/O executed for the query, also known as Blocks Touched. In my oppinion the PIO and the LIO should be the same for both queries as the cast could be ignored.

=========================================================

Example without casting: use warehouse; select calFlushCache(); select calSetTrace(1); SELECT d.minute,count(f.id),sum(amount) FROM fact_kor_purchase as f left outer join dim_time as d on f.dim_time = d.id where d.hour IN (0,1) AND f.dim_statusid="Finished" group by d.minute order by d.minute ; select calGetTrace();

Output: Desc Mode Table TableOID ReferencedColumns PIO LIO PBE Elapsed Rows BPS PM d 3251 (hour,id,minute) 132 **96** 0 0.495 7200 DSS PM f 3876 (dim_statusid) 0 3 - 0.044 3 BPS PM f 3876 (amount,dim_statusid,dim_time,id) 62958 44029 0 9.610 2880 HJS PM f-f 3876 - - - - ----- - HJS PM f-d 3876 - - - - ----- - TAS UM - - - - - - 5.995 60 TNS UM - - - - - - 10.109 60 First line LIO is 96

==============================================================

Example with casting: use warehouse; select calFlushCache(); select calSetTrace(1); SELECT cast(d.minute as INTEGER),count(f.id),sum(amount) FROM fact_kor_purchase as f left outer join dim_time as d on f.dim_time = d.id where cast(d.hour as INTEGER) IN (0,1) AND f.dim_statusid="Finished" group by cast(d.minute as INTEGER) order by cast(d.minute as INTEGER); select calGetTrace();

Output: Desc Mode Table TableOID ReferencedColumns PIO LIO PBE Elapsed Rows BPS PM d 3251 (hour,id,minute) 132 **112** 0 0.152 7200 DSS PM f 3876 (dim_statusid) 0 3 - 0.103 3 BPS PM f 3876 (amount,dim_statusid,dim_time,id) 62958 44034 0 8.238 2880 HJS PM f-d 3876 - - - - ----- - HJS PM f-f 3876 - - - - ----- - TAS UM - - - - - - 6.625 60 TNS UM - - - - - - 8.450 60 First line LIO is 112

===============================================================

So the question: 1. Is it normal that the LIO value is different in these 2 "equal" queries?

ilyagithub1 commented 3 years ago

@hankdetank

Higher LIO (logical I/O) does not necessarily mean worse performance.

Your second query has four CAST calls, and the LIO value for the second query is higher by 16 ( = 112 - 96 ). Thus, there are 4 additional logical I/O operations for each CAST.

However, the PIO (physical I/O) values are the same in both queries (132). And the Elapsed value is actually better for the second query (0.152 with CAST vs. 0.495 without CAST), which makes sense, because if the second query with CAST calls was executed after the first query, then query processor caching and optimization routines kicked in.

All in all, the performance analysis results you got running the queries with and without CAST support the thesis laid out in my previous answer to your original question:

Because INT(11), INT and INTEGER as synonyms there is no performance overhead when doing CAST('day' as INTEGER). Power BI is unaware of INT(11), hence the cast.

Kindly note that this a support forum for MariaDB Power BI Connector, and an in-depth discussion of MariaDB database engine internals is beyond the scope of this forum.

If you find that INT(11) and CAST pose an issue, you might want to explore MariaDB ColumnStore known issues or report an issue yourself here: https://jira.mariadb.org/projects/MCOL/issues