Thursday, 4 July 2013

What are the basic differences between user controls and custom controls?

Now that you have a basic idea of what user controls and custom controls are and how to create them, let's take a quick look at the differences between the two.
FactorsUser controlCustom control
DeploymentDesigned for single-application scenarios

Deployed in the source form (.ascx) along with the source code of the application

If the same control needs to be used in more than one application, it introduces redundancy and maintenance problems
Designed so that it can be used by more than one application

Deployed either in the application's Bin directory or in the global assembly cache

Distributed easily and without problems associated with redundancy and maintenance
CreationCreation is similar to the way Web Forms pages are created; well-suited for rapid application development (RAD)Writing involves lots of code because there is no designer support
ContentA much better choice when you need static content within a fixed layout, for example, when you make headers and footersMore suited for when an application requires dynamic content to be displayed; can be reused across an application, for example, for a data bound table control with dynamic rows
DesignWriting doesn't require much application designing because they are authored at design time and mostly contain static dataWriting from scratch requires a good understanding of the control's life cycle and the order in which events execute, which is normally taken care of in user controls

Wednesday, 8 May 2013

Trigger Procedures in PostgreSQL

PL/pgSQL can be used to define trigger procedures. A trigger procedure is created with the CREATE FUNCTION command, declaring it as a function with no arguments and a return type of trigger. Note that the function must be declared with no arguments even if it expects to receive arguments specified in CREATE TRIGGER — trigger arguments are passed via TG_ARGV, as described below.
When a PL/pgSQL function is called as a trigger, several special variables are created automatically in the top-level block. They are:
NEW
Data type RECORD; variable holding the new database row for INSERT/UPDATE operations in row-level triggers. This variable is NULL in statement-level triggers and for DELETE operations.
OLD
Data type RECORD; variable holding the old database row for UPDATE/DELETE operations in row-level triggers. This variable is NULL in statement-level triggers and for INSERT operations.
TG_NAME
Data type name; variable that contains the name of the trigger actually fired.
TG_WHEN
Data type text; a string of BEFORE, AFTER, or INSTEAD OF, depending on the trigger's definition.
TG_LEVEL
Data type text; a string of either ROW or STATEMENT depending on the trigger's definition.
TG_OP
Data type text; a string of INSERT, UPDATE, DELETE, or TRUNCATE telling for which operation the trigger was fired.
TG_RELID
Data type oid; the object ID of the table that caused the trigger invocation.
TG_RELNAME
Data type name; the name of the table that caused the trigger invocation. This is now deprecated, and could disappear in a future release. Use TG_TABLE_NAME instead.
TG_TABLE_NAME
Data type name; the name of the table that caused the trigger invocation.
TG_TABLE_SCHEMA
Data type name; the name of the schema of the table that caused the trigger invocation.
TG_NARGS
Data type integer; the number of arguments given to the trigger procedure in the CREATE TRIGGER statement.
TG_ARGV[]
Data type array of text; the arguments from the CREATE TRIGGER statement. The index counts from 0. Invalid indexes (less than 0 or greater than or equal to tg_nargs) result in a null value.
A trigger function must return either NULL or a record/row value having exactly the structure of the table the trigger was fired for.
Row-level triggers fired BEFORE can return null to signal the trigger manager to skip the rest of the operation for this row (i.e., subsequent triggers are not fired, and the INSERT/UPDATE/DELETE does not occur for this row). If a nonnull value is returned then the operation proceeds with that row value. Returning a row value different from the original value of NEW alters the row that will be inserted or updated. Thus, if the trigger function wants the triggering action to succeed normally without altering the row value, NEW (or a value equal thereto) has to be returned. To alter the row to be stored, it is possible to replace single values directly in NEW and return the modified NEW, or to build a complete new record/row to return. In the case of a before-trigger on DELETE, the returned value has no direct effect, but it has to be nonnull to allow the trigger action to proceed. Note that NEW is null in DELETE triggers, so returning that is usually not sensible. The usual idiom in DELETE triggers is to return OLD.
INSTEAD OF triggers (which are always row-level triggers, and may only be used on views) can return null to signal that they did not perform any updates, and that the rest of the operation for this row should be skipped (i.e., subsequent triggers are not fired, and the row is not counted in the rows-affected status for the surrounding INSERT/UPDATE/DELETE). Otherwise a nonnull value should be returned, to signal that the trigger performed the requested operation. For INSERT and UPDATE operations, the return value should be NEW, which the trigger function may modify to support INSERT RETURNING and UPDATE RETURNING (this will also affect the row value passed to any subsequent triggers). For DELETE operations, the return value should be OLD.
The return value of a row-level trigger fired AFTER or a statement-level trigger fired BEFORE or AFTER is always ignored; it might as well be null. However, any of these types of triggers might still abort the entire operation by raising an error.
Example 39-3 shows an example of a trigger procedure in PL/pgSQL.

Example 39-3. A PL/pgSQL Trigger Procedure
This example trigger ensures that any time a row is inserted or updated in the table, the current user name and time are stamped into the row. And it checks that an employee's name is given and that the salary is a positive value.
CREATE TABLE emp (
    empname text,
    salary integer,
    last_date timestamp,
    last_user text
);

CREATE FUNCTION emp_stamp() RETURNS trigger AS $emp_stamp$
    BEGIN
        -- Check that empname and salary are given
        IF NEW.empname IS NULL THEN
            RAISE EXCEPTION 'empname cannot be null';
        END IF;
        IF NEW.salary IS NULL THEN
            RAISE EXCEPTION '% cannot have null salary', NEW.empname;
        END IF;

        -- Who works for us when she must pay for it?
        IF NEW.salary < 0 THEN
            RAISE EXCEPTION '% cannot have a negative salary', NEW.empname;
        END IF;

        -- Remember who changed the payroll when
        NEW.last_date := current_timestamp;
        NEW.last_user := current_user;
        RETURN NEW;
    END;
$emp_stamp$ LANGUAGE plpgsql;

CREATE TRIGGER emp_stamp BEFORE INSERT OR UPDATE ON emp
    FOR EACH ROW EXECUTE PROCEDURE emp_stamp();
Another way to log changes to a table involves creating a new table that holds a row for each insert, update, or delete that occurs. This approach can be thought of as auditing changes to a table. Example 39-4 shows an example of an audit trigger procedure in PL/pgSQL.

Example 39-4. A PL/pgSQL Trigger Procedure For Auditing
This example trigger ensures that any insert, update or delete of a row in the emp table is recorded (i.e., audited) in the emp_audit table. The current time and user name are stamped into the row, together with the type of operation performed on it.
CREATE TABLE emp (
    empname           text NOT NULL,
    salary            integer
);

CREATE TABLE emp_audit(
    operation         char(1)   NOT NULL,
    stamp             timestamp NOT NULL,
    userid            text      NOT NULL,
    empname           text      NOT NULL,
    salary integer
);

CREATE OR REPLACE FUNCTION process_emp_audit() RETURNS TRIGGER AS $emp_audit$
    BEGIN
        --
        -- Create a row in emp_audit to reflect the operation performed on emp,
        -- make use of the special variable TG_OP to work out the operation.
        --
        IF (TG_OP = 'DELETE') THEN
            INSERT INTO emp_audit SELECT 'D', now(), user, OLD.*;
            RETURN OLD;
        ELSIF (TG_OP = 'UPDATE') THEN
            INSERT INTO emp_audit SELECT 'U', now(), user, NEW.*;
            RETURN NEW;
        ELSIF (TG_OP = 'INSERT') THEN
            INSERT INTO emp_audit SELECT 'I', now(), user, NEW.*;
            RETURN NEW;
        END IF;
        RETURN NULL; -- result is ignored since this is an AFTER trigger
    END;
$emp_audit$ LANGUAGE plpgsql;

CREATE TRIGGER emp_audit
AFTER INSERT OR UPDATE OR DELETE ON emp
    FOR EACH ROW EXECUTE PROCEDURE process_emp_audit();
A variation of the previous example uses a view joining the main table to the audit table, to show when each entry was last modified. This approach still records the full audit trail of changes to the table, but also presents a simplified view of the audit trail, showing just the last modified timestamp derived from the audit trail for each entry. Example 39-5 shows an example of an audit trigger on a view in PL/pgSQL.

Example 39-5. A PL/pgSQL View Trigger Procedure For Auditing
This example uses a trigger on the view to make it updatable, and ensure that any insert, update or delete of a row in the view is recorded (i.e., audited) in the emp_audit table. The current time and user name are recorded, together with the type of operation performed, and the view displays the last modified time of each row.
CREATE TABLE emp (
    empname           text PRIMARY KEY,
    salary            integer
);

CREATE TABLE emp_audit(
    operation         char(1)   NOT NULL,
    userid            text      NOT NULL,
    empname           text      NOT NULL,
    salary            integer,
    stamp             timestamp NOT NULL
);

CREATE VIEW emp_view AS
    SELECT e.empname,
           e.salary,
           max(ea.stamp) AS last_updated
      FROM emp e
      LEFT JOIN emp_audit ea ON ea.empname = e.empname
     GROUP BY 1, 2;

CREATE OR REPLACE FUNCTION update_emp_view() RETURNS TRIGGER AS $$
    BEGIN
        --
        -- Perform the required operation on emp, and create a row in emp_audit
        -- to reflect the change made to emp.
        --
        IF (TG_OP = 'DELETE') THEN
            DELETE FROM emp WHERE empname = OLD.empname;
            IF NOT FOUND THEN RETURN NULL; END IF;

            OLD.last_updated = now();
            INSERT INTO emp_audit VALUES('D', user, OLD.*);
            RETURN OLD;
        ELSIF (TG_OP = 'UPDATE') THEN
            UPDATE emp SET salary = NEW.salary WHERE empname = OLD.empname;
            IF NOT FOUND THEN RETURN NULL; END IF;

            NEW.last_updated = now();
            INSERT INTO emp_audit VALUES('U', user, NEW.*);
            RETURN NEW;
        ELSIF (TG_OP = 'INSERT') THEN
            INSERT INTO emp VALUES(NEW.empname, NEW.salary);

            NEW.last_updated = now();
            INSERT INTO emp_audit VALUES('I', user, NEW.*);
            RETURN NEW;
        END IF;
    END;
$$ LANGUAGE plpgsql;

CREATE TRIGGER emp_audit
INSTEAD OF INSERT OR UPDATE OR DELETE ON emp_view
    FOR EACH ROW EXECUTE PROCEDURE update_emp_view();
One use of triggers is to maintain a summary table of another table. The resulting summary can be used in place of the original table for certain queries — often with vastly reduced run times. This technique is commonly used in Data Warehousing, where the tables of measured or observed data (called fact tables) might be extremely large. Example 39-6 shows an example of a trigger procedure in PL/pgSQL that maintains a summary table for a fact table in a data warehouse.

Example 39-6. A PL/pgSQL Trigger Procedure For Maintaining A Summary Table
The schema detailed here is partly based on the Grocery Store example from The Data Warehouse Toolkit by Ralph Kimball.
--
-- Main tables - time dimension and sales fact.
--
CREATE TABLE time_dimension (
    time_key                    integer NOT NULL,
    day_of_week                 integer NOT NULL,
    day_of_month                integer NOT NULL,
    month                       integer NOT NULL,
    quarter                     integer NOT NULL,
    year                        integer NOT NULL
);
CREATE UNIQUE INDEX time_dimension_key ON time_dimension(time_key);

CREATE TABLE sales_fact (
    time_key                    integer NOT NULL,
    product_key                 integer NOT NULL,
    store_key                   integer NOT NULL,
    amount_sold                 numeric(12,2) NOT NULL,
    units_sold                  integer NOT NULL,
    amount_cost                 numeric(12,2) NOT NULL
);
CREATE INDEX sales_fact_time ON sales_fact(time_key);

--
-- Summary table - sales by time.
--
CREATE TABLE sales_summary_bytime (
    time_key                    integer NOT NULL,
    amount_sold                 numeric(15,2) NOT NULL,
    units_sold                  numeric(12) NOT NULL,
    amount_cost                 numeric(15,2) NOT NULL
);
CREATE UNIQUE INDEX sales_summary_bytime_key ON sales_summary_bytime(time_key);

--
-- Function and trigger to amend summarized column(s) on UPDATE, INSERT, DELETE.
--
CREATE OR REPLACE FUNCTION maint_sales_summary_bytime() RETURNS TRIGGER
AS $maint_sales_summary_bytime$
    DECLARE
        delta_time_key          integer;
        delta_amount_sold       numeric(15,2);
        delta_units_sold        numeric(12);
        delta_amount_cost       numeric(15,2);
    BEGIN

        -- Work out the increment/decrement amount(s).
        IF (TG_OP = 'DELETE') THEN

            delta_time_key = OLD.time_key;
            delta_amount_sold = -1 * OLD.amount_sold;
            delta_units_sold = -1 * OLD.units_sold;
            delta_amount_cost = -1 * OLD.amount_cost;

        ELSIF (TG_OP = 'UPDATE') THEN

            -- forbid updates that change the time_key -
            -- (probably not too onerous, as DELETE + INSERT is how most
            -- changes will be made).
            IF ( OLD.time_key != NEW.time_key) THEN
                RAISE EXCEPTION 'Update of time_key : % -> % not allowed',
                                                      OLD.time_key, NEW.time_key;
            END IF;

            delta_time_key = OLD.time_key;
            delta_amount_sold = NEW.amount_sold - OLD.amount_sold;
            delta_units_sold = NEW.units_sold - OLD.units_sold;
            delta_amount_cost = NEW.amount_cost - OLD.amount_cost;

        ELSIF (TG_OP = 'INSERT') THEN

            delta_time_key = NEW.time_key;
            delta_amount_sold = NEW.amount_sold;
            delta_units_sold = NEW.units_sold;
            delta_amount_cost = NEW.amount_cost;

        END IF;


        -- Insert or update the summary row with the new values.
        <<insert_update>>
        LOOP
            UPDATE sales_summary_bytime
                SET amount_sold = amount_sold + delta_amount_sold,
                    units_sold = units_sold + delta_units_sold,
                    amount_cost = amount_cost + delta_amount_cost
                WHERE time_key = delta_time_key;

            EXIT insert_update WHEN found;

            BEGIN
                INSERT INTO sales_summary_bytime (
                            time_key,
                            amount_sold,
                            units_sold,
                            amount_cost)
                    VALUES (
                            delta_time_key,
                            delta_amount_sold,
                            delta_units_sold,
                            delta_amount_cost
                           );

                EXIT insert_update;

            EXCEPTION
                WHEN UNIQUE_VIOLATION THEN
                    -- do nothing
            END;
        END LOOP insert_update;

        RETURN NULL;

    END;
$maint_sales_summary_bytime$ LANGUAGE plpgsql;

CREATE TRIGGER maint_sales_summary_bytime
AFTER INSERT OR UPDATE OR DELETE ON sales_fact
    FOR EACH ROW EXECUTE PROCEDURE maint_sales_summary_bytime();

INSERT INTO sales_fact VALUES(1,1,1,10,3,15);
INSERT INTO sales_fact VALUES(1,2,1,20,5,35);
INSERT INTO sales_fact VALUES(2,2,1,40,15,135);
INSERT INTO sales_fact VALUES(2,3,1,10,1,13);
SELECT * FROM sales_summary_bytime;
DELETE FROM sales_fact WHERE product_key = 1;
SELECT * FROM sales_summary_bytime;
UPDATE sales_fact SET units_sold = units_sold * 2;
SELECT * FROM sales_summary_bytime;

Saturday, 6 April 2013

CAML Query syntax and options in SharePoint

CAML (Collaborative Application Markup Language)
SPQuery is the SharePoint object which is used to perform a query operation against SharePoint data.SPList.getItems(SPQuery) is the step, will return SPListItemCollection which satisfies the query.SPQuery has one data member ‘Query’, which need to set before passing SPQuery object to SPList.
Some Properties

Properties
Description
RowLimit Gets or sets a limit for the number of items returned in the query per page.
<RowLimit>10</RowLimit>
---
Can be used as: query.rowLimit = 10;
ViewFields Gets or sets the fields that are displayed in the query.
<ViewFields>
        <FieldRef Name='Title'/>
        <FieldRef Name='Name'/>
</ViewFields>
---
Can be used as:
 SPQuery query = new SPQuery();
 query.ViewFields = "<FieldRef Name='Field1'/>" +
                      "<FieldRef Name='Field2'/>";   
How to Implement SPQuery?

How to Implement SPQuery?
using (SPWeb web = SPContext.Current.Site.RootWeb)
{
    SPList mylist = web.Lists["Tasks"];
    SPQuery query = new SPQuery();
    query.Query = "<Where><Eq><FieldRef Name='Status'/>" +
                   "<Value Type='Text'>Completed</Value></Eq></Where>";
    SPListItemCollection items = mylist.GetItems(query);
    foreach (SPListItem item in items)
    {
        Response.Write(SPEncode.HtmlEncode(item["Title"].ToString()) + "<BR>");
    }
}
Operators:
Comparison Operators, Logical Joins and Order/ Group Operators, plays an important role to make this syntax.

Comparison Operators
Comparison Operators General Meaning
Eq =
Gt
Lt
Geq >=
Leq <=
Neq <> 
Contains Like
IsNull Null
IsNotNull NotNull
BeginsWith Beginning with word
DateRangesOverlap compare the dates in a recurring event with a specified DateTime value, to determine whether they overlap

Now, to use Or between Geq and Leq conditions, we put it inside <Or> tag.
I.e. condition: where (Field1 >= 1500) or (field2 <= 500) can be written like this:
   <Where>
  <Or>
     <Geq>
         <FieldRef Name='Field1'/>
         <Value Type='Number'>1500</Value>
     </Geq>
     <Leq>
        <FieldRef Name='Field2'/><Value Type='Number'>500</Value>
     </Leq>
   </Or>
  </Where>
The full Code snippets will look like:
<View>
 <Query>
      <OrderBy>
          <FieldRef Name='ID'/>
      </OrderBy>
 
  <Where>
  <Or>
     <Geq>
         <FieldRef Name='Field1'/>
         <Value Type='Number'>1500</Value>
     </Geq>
     <Leq>
        <FieldRef Name='Field2'/><Value Type='Number'>500</Value>
     </Leq>
   </Or>
  </Where>
 </Query>
   <ViewFields>
        <FieldRef Name='Title'/>
        <FieldRef Name='Name'/>
   </ViewFields>
   <RowLimit>10</RowLimit>
</View>
Example: Contains, And, BeginsWith
The following example uses the Contains element that is assigned to the Query property to return the titles of items where the Conference column value begins with "Morning" and contains "discussion session".
<Where>
   <And>
       <BeginsWith>
              <FieldRef Name="Conference"/> 
              <Value Type="Note">Morning</Value>
       </BeginsWith>
       <Contains>
              <FieldRef Name="Conference" />
              <Value Type="Note">discussion session</Value>
       </Contains>
   </And>
</Where>

Example: DateRangesOverlap
<Where> 

     <DateRangesOverlap> 

          <FieldRef Name="EventDate"></FieldRef> 

          <FieldRef Name="EndDate"></FieldRef> 

          <FieldRef Name="RecurrenceID"></FieldRef> 

            <Value Type="DateTime"> 

              <Now/> 

            </Value> 

     </DateRangesOverlap> 

</Where>
Logical Joins:
Logical Joins Comments
And Used within the ‘Where’ element to group filters in a query for a view
Or Used within the ‘Where’ element to group filters in a query for a view
Example: And
<Where>

   <And> 

     <Neq> 

        <FieldRef Name="Status"></FieldRef> 

        <Value Type="Text">Completed</Value> 

     </Neq> 

     <IsNull> 

        <FieldRef Name="Sent"></FieldRef> 

     </IsNull> 

   </And> 

</Where> 
Order/Group Operators:
Order/Group Operators Comments
OrderBy Determines the sort order for a query. The OrderBy element contains a group of FieldRef elements
I.e. <OrderBy><FieldRef Name="Title" Ascending="TRUE">
</FieldRef></OrderBy>
GroupBy Contains a Group By section for grouping the data returned through a query in a list view
Example: OrderBy
<OrderBy> 

       <FieldRef Name="Modified" Ascending="FALSE"></FieldRef> 

</OrderBy> 

<Where> 

  <Or> 

    <Neq> 

      <FieldRef Name="Status"></FieldRef> 

      <Value Type="Text">Completed</Value> 

    </Neq> 

    <IsNull> 

      <FieldRef Name="Status"></FieldRef> 

    </IsNull> 

  </Or> 

</Where>
Example: GroupBy
<GroupBy> 

      <FieldRef Name="Modified"/> 

</GroupBy> 

<Where> 

   <Or> 

      <Neq> 

          <FieldRef Name="Status"></FieldRef> 

          <Value Type="Text">Completed</Value> 

      </Neq> 

      <IsNull> 

          <FieldRef Name="Status"></FieldRef> 

      </IsNull> 

   </Or> 

</Where> 
Important:
This is very important thing to keep in mind, because SPQuery will be assigned as a string so it wont show compile time error though it may have tag syntax error, not in order, escape sequence error, etc.
Escape sequence:
The ScriptEncode method escapes characters that would otherwise conflict with script.
Original
Replacement
"
\"
\
\\
+
\u002b
\u003e
\u003c
'
\u0027


Example:
<FieldRef Name=\"Checkbox\"></FieldRef> <Value Type=\"bit\">1</Value> 

Example for sql query  covertion to cam query: :

SELECT FirstName, LastName, Description, Profile
FROM SomeFakeTable
WHERE (FirstName = 'John' OR LastName = 'John' OR Description = 'John' OR Profile='John')
  AND (FirstName = 'Doe' OR LastName = 'Doe' OR Description = 'Doe' OR Profile='Doe')
  AND (FirstName = '123' OR LastName = '123' OR Description = '123' OR Profile='123')
 
 covertion to cam query: 


<Where>
    <And>
        <Or>
            <Eq>
                <FieldRef Name='FirstName' />
                <Value Type='Text'>John</Value>
            </Eq>
            <Or>
                <Eq>
                    <FieldRef Name='LastName' />
                    <Value Type='Text'>John</Value>
                </Eq>
                <Eq>
                    <FieldRef Name='Profile' />
                    <Value Type='Text'>John</Value>
                </Eq>
            </Or>
        </Or>
        <And>       
            <Or>
                <Eq>
                    <FieldRef Name='FirstName' />
                    <Value Type='Text'>Doe</Value>
                </Eq>
                <Or>
                    <Eq>
                        <FieldRef Name='LastName' />
                        <Value Type='Text'>Doe</Value>
                    </Eq>
                    <Eq>
                        <FieldRef Name='Profile' />
                        <Value Type='Text'>Doe</Value>
                    </Eq>
                </Or>
            </Or>
            <Or>
                <Eq>
                    <FieldRef Name='FirstName' />
                    <Value Type='Text'>123</Value>
                </Eq>
                <Or>
                    <Eq>
                        <FieldRef Name='LastName' />
                        <Value Type='Text'>123</Value>
                    </Eq>
                    <Eq>
                        <FieldRef Name='Profile' />
                        <Value Type='Text'>123</Value>
                    </Eq>
                </Or>
            </Or>
        </And>
    </And>
</Where>