Skip to main content

SQL Server: CHARINDEX String Functions in SQL Server

CHARINDEX: CharIndex is responsible to search an expression for another expression and returns its starting position if found. Search pattern cannot include wildcard characters. The second argument is a character expression, you can use column name here if you are applying it on fetching records from table for specific search pattern match, in which Adaptive Server searches for the specified pattern.


CHARINDEX ( expressionToFind ,expressionToSearch , [start_location ] )

expressionToFind Is a character expression that contains the sequence to be found. xpressionToFind is limited to 8000 characters.

expressionToSearch: Is a character expression to be searched.

start_location: Is an integer or bigint expression at which the search starts. If start_location is not specified, is a negative number, or is 0, the search starts at the beginning of expressionToSearch.

For example

SELECT CHARINDEX('ensure', Summary)
FROM dbo.Document
Second example
DECLARE @expressionToFind VARCHAR(50)='singh'
DECLARE @expressionToSearch VARCHAR(50)='dilip kumar singh'

SELECT CHARINDEX(@expressionToFind, @expressionToSearch);


(No column name)


If you want to start search at specific location then you will be pass start_location the function see below.

DECLARE @expressionToFind VARCHAR(50)='singh'

DECLARE @expressionToSearch VARCHAR(50)='dilip kumar singh'
SELECT CHARINDEX(@expressionToFind, @expressionToSearch,6);
(No column name)


It will skip 6 characters from starting means it will be start search from “kumar singh”

If you will put start_location 17 then what happen see
DECLARE @expressionToFind VARCHAR(50)='singh'
DECLARE @expressionToSearch VARCHAR(50)='dilip kumar singh'
SELECT CHARINDEX(@expressionToFind, @expressionToSearch,17);
Result -

(No column name)


Reason it will skip 17 characters from string, after 17 characters it will not found search pattern “singh”.

Note: CHARINDEX cannot be used with text, ntext, and image data types. 

Some useful link

Popular posts from this blog

What is difference between UNION and UNION ALL in SQL Server

We use UNION and UNION ALL operator to combine multiple results set into one result set.
UNION operator is used to combining multiple results set into one result set but removes any duplicate rows. Basically, UNION is used to performing a DISTINCT operation across all columns in the result set. UNION operator has the extra overhead of removing duplicate rows and sorting result.
UNION ALL operator use to combine multiple results set into one result set but it does not remove any duplicate result. Actually, this does not remove duplicate rows so it is faster than the UNION operator. If you want to combine multiple results and without duplicate records then use UNION otherwise UNION ALL is better.
Following some rules for using UNION/UNION ALL operator
1.The number of the column should be the same in the query's when you want to combine them. 2.The column should be of the same data type. 3.ORDER BY clause can be applied to the overall result set not within each result set.
4.Column name of …

Add day to ISODate in MongoDB

We can use $add operator to add days in ISODate in mongodb, $add is the Arithmetic Aggregation Operator which adds number and date in mongodb.

{ $add: [ <expression1>, <expression2>, ... ] }

Note:  If one of the argument is date $add operator treats to other arguments as milliseconds to add to the date.
Example: Suppose we have a Test collection as below.

{"Title" : "Add day to ISODate in MongoBD","CreatedDate" : ISODate("2016-07-07T08:00:00.000Z")}

Query to add 2 days in CreatedDate

db.Test.aggregate([      { $project: { Title: 1, AddedDate: { $add: [ "$CreatedDate", 2*24*60*60000 ] } } }    ])


{ "_id" : ObjectId("579a1567ac1b3f3732483de0"), "Title" : "Add day to ISODate in MongoBD", "AddedDate" : ISODate("2016-07-09T08:00:00.000Z") }

Note: As mentioned in above note we have to convert days in millisecond because $add operator treat to other arg…

Merge and Merge join transformation in SSIS

Using Merge Transformation we can combine two sorted data-set into single data-set basically Merge Transformation used to combines rows from two sorted data flows into one sorted data flow. Following tasks you may perform using Merge Transformation: 1.Suppose we have a scenario like, we need to merge data from a database table and excel means we want to merge data from two different data sources. For such type of scenario, you can use Merge Transformation. 2.If we want to merge data from two same structured tables but exists two different servers. 3.Sometimes we get an error due to data in a row, after correcting errors in the data we can re-merge rows easily. See below explanations may help you to understand Merge Transformation: I do evaluate here, you already know about the data source, data conversion, data flow, task flow, control flow etc. Note:Before Merge transformation, we need to sort the data using Sort Transformation. After sorting data add data path to Merge…