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SQL stands for 'Structured Query
Language'
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The SELECT statement lets you select a
set of values from a table in a database. The values selected from the
database table would depend on the various conditions that are specified in
the SQL query.
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SELECT * FROM people WHERE empname LIKE
'%ab%'
Would return a record set with records consisting empname the sequence 'ab' in empname . |
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The INSERT statement lets you insert
information into a database.
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Use the DELETE statement to remove
records or any particular column values from a database.
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The SELECT statement in conjunction with
DISTINCT lets you select a set of distinct values from a table in a database.
The values selected from the database table would of course depend on the
various conditions that are specified in the SQL query. Example
SELECT DISTINCT empname FROM emptable |
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You can sort the results and return the
sorted results to your program by using ORDER BY keyword thus saving you the
pain of carrying out the sorting yourself. The ORDER BY keyword is used for
sorting.
SELECT empname, age, city FROM emptable ORDER BY empname |
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You
could use the COUNT keyword , example
SELECT COUNT(*) FROM emp WHERE age>40 |
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The GROUP BY keywords have been added to
SQL because aggregate functions (like SUM) return the aggregate of all column
values every time they are called. Without the GROUP BY functionality,
finding the sum for each individual group of column values was not possible.
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Dropping : (Table structure
+ Data are deleted), Invalidates the dependent objects ,Drops the indexes
Truncating: (Data
alone deleted), Performs an automatic commit, Faster than delete
Delete : (Data alone
deleted), Doesn’t perform automatic commit
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Blob and Clob.
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Having clause is used only with group
functions whereas Where is not used with.
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Both
primary key and unique enforce uniqueness of the column on which they are
defined. But by default primary key creates a clustered index on the column,
where are unique creates a non-clustered index by default. Another major
difference is that, primary key doesn't allow NULLs, but unique key allows
one NULL only.
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Cursors
allow row-by-row processing of the result sets.
Types
of cursors: Static, Dynamic, Forward-only, Key set-driven. See books online
for more information.
Disadvantages
of cursors: Each time you fetch a row from the cursor, it results in a
network round trip, where as a normal SELECT query makes only one round trip,
however large the result set is. Cursors are also costly because they require
more resources and temporary storage (results in more IO operations).
Further, there are restrictions on the SELECT statements that can be used
with some types of cursors.
Most
of the times, set based operations can be used instead of cursors.
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Triggers are special kind of stored
procedures that get executed automatically when an INSERT, UPDATE or DELETE
operation takes place on a table.
Triggers
can't be invoked on demand. They get triggered only when an associated action
(INSERT, UPDATE, DELETE) happens on the table on which they are defined.
Triggers
are generally used to implement business rules, auditing. Triggers can also
be used to extend the referential integrity checks, but wherever possible,
use constraints for this purpose, instead of triggers, as constraints are
much faster.
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Joins
are used in queries to explain how different tables are related. Joins also
let you select data from a table depending upon data from another table.
Types
of joins: INNER JOINs, OUTER JOINs, CROSS JOINs. OUTER JOINs are further
classified as LEFT OUTER JOINS, RIGHT OUTER JOINS and FULL OUTER JOINS.
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Self join is just like any other join,
except that two instances of the same table will be joined in the query.
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