Wednesday, February 26, 2014

2014 Gartner Magic Quadrant Reports for BI and Analytics Platform: leaders & trends

2014 Gartner magic quadrant report for business intelligence and analytics platform was released last week.  The report rates the strengths and weaknesses of 27 vendors in the market according to 17 defined capabilities across three categories: information delivery, analysis and integration.  Below is a snapshot of vendors’ performance charted on a graphical quadrant.

 

gartner-mq-2014

Who are leaders?

The two main axis remain the same as in 2013 report: completeness of vision and ability to execute. It added some capabilities such as Geospatial and location intelligence, Embedded advanced analytics, Business user data mashup and modeling, Embeddable analytics, and Support for big data sources. Tableau leads in ability to execute and IBM/SAS lead in completeness of vision. QlikView, Microsoft, SAP, Tibco, Oracle, MicroStrategy remain in leader quadrant.

What are the trends for 2014?

The answer is “business-user-driven data discovery and analysis” and “Cloud BI”. “The BI and analytics platform market is in the middle of an accelerated transformation from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization”, according to Gartner's 2014 reports.The data-discovery category was pioneered by Tableau, Qlikview, Microsoft, IBM and SAS, which have done a better job than the others of integrating their enterprise and new data discovery capabilities.

I highly recommend you to read more detailed analysis of report here or download it from http://www.qlik.com/mq2014.

Monday, February 24, 2014

How to: Do Incremental Loading by Hashbytes Function with Stored Proc

Using hash functions in sql server for incremental data loading has a big performance advantage when you have millions of rows to load, or have several dozens of columns to compare and make decision on whether to update, insert, or expire, as mentioned by Andy Leonard's Anatomy of an Incremental Load. Brett Flippin has introduced the way to calculate hash columns with SSIS’s Script Components in his article Speeding Up Incremental ETL Processes in SSIS by Using MD5 Hashes. Today I would like to demonstrate how to calculate hash columns by stored procedures. This stored procedure will automatically concatenate all columns except hash columns for given tables, and then generate a hashKey for each row. What you need to provide is the name of the table. So it saves the time and efforts to drag and draw columns for tables with different structures.

First let's start with the script to create our test database and destination table:

-- Create test database
use master
go
if exists(select name from sys.databases where name = 'DemoSQL2012')
drop database DemoSQL2012
go
create database DemoSQL2012
go
-- Create Contact Destination table
use DemoSQL2012
go
if exists(select name from sys.tables where name = 'hashTest')
drop table dbo.hashTest
go

CREATE TABLE [dbo].[hashTest](
[personId] [int] IDENTITY(1,1) NOT NULL,
[firstName] [varchar](10) NULL,
[lastName] [varchar](10) NULL,
[hashKey] [varbinary](256) NULL,
CONSTRAINT [PK_hashtest] PRIMARY KEY CLUSTERED
(
[personId] ASC
))

Insert INTO [dbo].[hashTest] ([firstName], LastName)
VALUES ('David', 'Smith'),
('Bob', 'Stones')

If you check the table dbo.hashTest, you will see that it has four columns and two records, with hashKey column set as NULL.


hashtableStart


Create Stored Proc dbo.GetHashKey


Then you need to run the following script to create stored proc to generate hashKey.

USE [DemoSQL2012]
GO

CREATE PROCEDURE [dbo].[GetHashKey] ( @pSchemaName sysname,@pTableName sysname,@pDebug INT = NULL )
/************************************************************************************************************
Description: Populates hashKey column of target table indicated by @pTableName parm, using SHA1 algorithm.
Here the hashkey column is called hashKey.
The concatenated string as inputs for Hashbytes function is in a format of col1$col2$col3.
Examples: exec [dbo].[GetHashKey] 'dbo','hashTest', 1 to get the concatenated string to be calculated by Hashbytes fcn.
exec [dbo].[GetHashKey] 'dbo','hashTest', 2 to get the sql to update hashKey columns.
*************************************************************************************************************/
AS

BEGIN
SET NOCOUNT ON
DECLARE @SchemaName VARCHAR(MAX)
DECLARE @TableName VARCHAR(MAX)
DECLARE @HashSql VARCHAR(MAX)
DECLARE @Sql VARCHAR(MAX) = ''
DECLARE @CRLF char(2) = CHAR(13)+CHAR(10)

SET @SchemaName = @pSchemaName
SET @TableName = @pTableName

--- Concatenate strings for Hashbyte functions by INFORMATION_SCHEMA
SELECT @HashSql = COALESCE(@HashSql + '+ ', '')
+ 'ISNULL(CAST('+ QUOTENAME(COLUMN_NAME)+' as varchar),''~'')+''$'''+@CRLF
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = @TableName
AND TABLE_SCHEMA = @SchemaName
AND column_name NOT LIKE 'hash%'


SET @sql = @sql + 'DECLARE @updateChunk int = 4000000;
WHILE 1=1
BEGIN
'

SET @sql = @sql + 'UPDATE Top(@updateChunk) '+ @SchemaName + '.' + @TableName + ' ' + @CRLF

SET @sql = @sql + 'SET hashKey = ' + @CRLF
SET @sql = @sql + 'HashBytes(''SHA1'','+ @HashSql + ')'+@CRLF

SET @sql = @sql + 'WHERE hashKey is null;
IF @@RowCount=0
BREAK;
END'

IF (@pDebug = 1)
BEGIN
DECLARE @sqlStr2Hash VARCHAR(MAX) = 'SELECT ' + @HashSql + ' as hashCol FROM ' + @SchemaName+'.' + @TableName;
EXEC (@sqlStr2Hash)
END
ELSE
BEGIN
IF (@pDebug = 2)
SELECT @sql;
ELSE
EXEC (@sql);
END

END

GO

Here we use SHA1 algorithms to be Hashbyte functions. According to the article “Exploring Hash Functions in SQL Server”, SHA1 is one of the reliable algorithms with “best spread over the hash space”. We use metadata INFORMATION_SCHEMA.COLUMNS to obtain all columns with given table names.


How to use Stored Proc dbo.GetHashKey?


To call this stored procedure we would execute it as follows:

exec [dbo].[GetHashKey] 'dbo','hashTest', 1

It will show you the concatenated string for each row.


hashString


If you call stored procedure with @pDebug set as 2, you will get the sql scripts to update the hashKey column.

exec [dbo].[GetHashKey] 'dbo','hashTest', 2

hashSql


If you want to update the hashKey column, call the stored procedure as follows:

exec [dbo].[GetHashKey] 'dbo','hashTest'

Now you can see the table is updated with hashKey:


hashColUpdated


If you would like to use this stored proc in SSIS packages, you can directly use Execute SQL Task with schema name and table name passed by as parameters.


Wrap up


You can directly call the above stored procedure to speed up calculation of hashKey columns for different tables when loading to data warehouse. The inputs are mainly the schema name and table name. With pDebug parameters, it would be easy to debug your hash strings or sql scripts.

Also please keep in mind that the hashbyte functions do have an input limit of 8000 bytes. For those extremely fat tables, you can lean on SQL Server's CLR integration and perform the hashing in a .NET assembly.


Reference: HASHBYTES (Transact-SQL)

Monday, February 17, 2014

Conversion between SSIS Integers and SQL Server Strings

When you carry out database migration, one of main headaches is the conversion of different data types between sources and destinations. If you are using SSIS, be careful about the conversion between strings and int. Sometimes SSIS will fail because the integer type defined is not big enough to hold the original data. It is also known as overflow problem. So here is a summary that indicates which kind of integer data types you should use for SSIS for strings in the source table. Hope it helps!

SSIS SQL Server Range Maximum String Converted
DT_I1 tinyint 0 to 255 varchar(2)
DT_I2 smallint -2^15 (-32,768) to 2^15-1 (32,767) varchar(4)
DT_I4 int -2^31 (-2,147,483,648) to 2^31-1 (2,147,483,647) varchar(9)
DT_I8 bigint -2^63 (-9,223,372,036,854,775,808) to 2^63-1 (9,223,372,036,854,775,807) varchar(18)
Note that for an empty string, you can use derived column task in SSIS with expression below to convert an empty string into a NULL integer in SSIS.
LEN(strCol) == 0 ? NULL(DT_I4) : (DT_I4)(RTRIM(strCol))

You can also refer to BOL: int, bigint, smallint, and tinyint (Transact-SQL)