Introduction of ssis

What is ssis ?
 SQL Server Integration Services (SSIS) is a component of the
Microsoft SQL Server database software that can be used to
perform a broad range of data integration tasks.

 SSIS is a platform for data integration and workflow applications.
It features a fast and flexible data warehousing tool used for data
extraction, transformation, and loading (ETL).

 Data import/Export Wizard
It makes easy to data move one data base to another database.
SSIS is used to extract data from any of a myriad of sources, such
as SQL Server databases, flat files, Excel files, Oracle and DB2
databases, etc. It performs data manipulation and transformation
on the data and delivers it to one or more data destinations.

Why we use SSIS:-
 Connections to a vast number of data sources - flat files, other, excel file and more than
one database sources and XML sources, etc.

 At one point of time we can send Data to many Destination – Flat Files, Xml source which
we can’t do through SSMS.

 We can handle errors in SSIS in good way.

 SSIS provide one useful functionality which allow the Developers the ability to see data as
it flows through SSIS pipeline. Basically it can display the Data Output before putting the
Data in their Actual Destination which I guess we can’t do in SSMS.

 ETL tools in most cases contain a GUI that helps users conveniently transform data as
opposed to writing large programs to parse files and modify data types - which ETL tools
facilitate as much as possible.

 Check Points help to capture the package execution like a recorder and assists in restarting
the package execution from the point of failure instead of running the package from the
beginning.

 You can perform most of the tasks with minimal or no coding. It can load millions of rows
from one data source to another within few minutes.

Component of SSIS :-

SSIS

Control Data Event
Flow Task Flow Task Handlers

Tools of Control Flow Task:-
Control flow items Maintenance plan task

Description of some control flow task:-
 Bulk insert task:- This tools is use to bulk insert in
database.
 Comp0nent of bulk insert task:
 Connection:- database connectivity to whom data has
to be inserted.
Destination table name:- The name of table in which
the data has to be inserted
Format:- format of file specify or use file these are two
component of file.
Source Connection:- here specify the file which to be
uploaded.

Execute SQL Task:-
 This is used for create, truncate or drop the table.
 We can also used to execute select ,insert, or update
statement.
 Through this task we can execute the procedure.
 Create, drop, Truncate Excel Sheet through this tools.

Execute file system task:-
 The File System task performs operations on files and directories in the file system. For
example, by using the File System task, a package can create, move, or delete directories
and files. You can also use the File System task to set attributes on files and directories. For
example, the File System task can make files hidden or read-only
 The File System task includes a predefined set of operations. The following table describes
these operations

Recursive Tools:-
 Where we have to need to perform any repeated task
for this SSIS give us two tools which is used to use in
SSIS package.
 For Loop Container and Foreach Loop Task :-

For Loop container:-
 The For Loop container defines a repeating control flow in a package. The loop implementation is
similar to the For looping structure in programming languages. In each repeat of the loop, the For
Loop container evaluates an expression and repeats its workflow until the expression evaluates to
False.
 The For Loop container uses the following elements to define the loop:
 An optional initialization expression that assigns values to the loop counters.
 An evaluation expression that contains the expression used to test whether the loop should stop or
continue.
 An optional iteration expression that increments or decrements the loop counter.

Script Task:-
 The Script task provides code to perform functions that are not
available in the built-in tasks and transformations that SQL
Server Integration Services provides. The Script task can also combine
functions in one script instead of using multiple tasks and
transformations. You use the Script task for work that must be done
once in a package (or once per enumerated object), instead than once
per data row.
 You can configure the Script task in the following ways:
 Provide the custom script that the task runs.
 Specify the method in the VSTA project that the Integration Services
runtime calls as the entry point into the Script task code.
 Specify the script language.
 Optionally, provide lists of read-only and read/write variables for use in
the script.
 You can set these properties through SSIS Designer or
programmatically

Data Flow Task:-
 This is very specialized task load transforms Data into
an OLE DB destination.
 The Data Flow task encapsulates the data flow engine
that moves data between sources and destinations,
and lets the user transform, clean, and modify data as
it is moved. Addition of a Data Flow task to a package
control flow makes it possible for the package to
extract, transform, and load data.

Sources and Destination of Data Flow Task:-

OLE DB Source and OLE DB Destination:-
 OLE DB Source:- This is used to fetch the data from a
table of database or fetch the data from procedure.
 OLE DB Destination:- This is used to insert the data
from one database to another database.

Excel Source and destination:-
 Excel Source:- it is used to data import through excel
sheet which is in any format.
 Excel sheet only accepts Unicode string (DT_WSTR)
but OLE DB source or destination both support NON-
Unicode String (DT_STR). When we import the data
from excel sheet to database then always we have to
convert data through Unicode to non Unicode.
 As same as when we are using Excel Destination then
we have to convert the data non Unicode to Unicode.

Some Important Dataflow Transformation Tools:-
 Data Conversion:- it is used to convert the data types
from one source to another destination.
 Data Conversion Editor:-

Multicast Operator:-
 It is used to distribute the data from one source to
another different destinations.

Conditional Split:-
 The Conditional Split transformation can route data rows
to different outputs depending on the content of the data.
The implementation of the Conditional Split
transformation is similar to a CASE decision structure in a
programming language. The transformation evaluates
expressions, and based on the results, directs the data row
to the specified output. This transformation also provides a
default output, so that if a row matches no expression it is
directed to the default output.

Derived Column:-
 The Derived Column transformation creates new column
values by applying expressions to transformation input
columns. An expression can contain any combination of
variables, functions, operators, and columns from the
transformation input. The result can be added as a new
column or inserted into an existing column as a
replacement value. The Derived Column transformation
can define multiple derived columns, and any variable or
input columns can appear in multiple expressions.

Lookup Transformation:-
 The Lookup transformation performs lookups by joining
data in input columns with columns in a reference dataset.
You use the lookup to access additional information in a
related table that is based on values in common columns.
 The reference dataset can be a cache file, an existing table
or view, a new table, or the result of an SQL query. The
Lookup transformation uses either an OLE DB connection
manager or a Cache connection manager to connect to the
reference dataset. For more information, see OLE DB
Connection Manager and Cache Connection Manager
 You can configure the Lookup transformation in the
following ways:

Data upload from Excel to OLE DB Destination:-
 For achieve this goal we have to take a data flow task from
Control Flow task.
 After that we have to take three data flow tools.
 Excel source :- In data flow task drag and drop excel source
and create the connection through excel file as per discussed
in above. Once a connection is established then we can allow
the column which has to be inserted in database. After that
Click ok and we have to go next step which is data conversion
 Data conversion:- if the any varchar column is exists then the
column has to converted into DT_STR and we have to link to
the OLE DB Destination.
 OLE DB Destination:- Create a Connection to the database
and after that select a table in which data has to be inserted
Or Click on new and create a new table in which the data has
to be inserted. After that mapping the column.

Data Export from Database to different Destination:-

Introduction of ssis

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