This document discusses features of MySQL including security, scalability and limits, connectivity, and localization. It provides examples of SQL statements using SELECT, JOINs, subqueries, and transaction statements like SAVEPOINT and ROLLBACK TO SAVEPOINT. Key points covered include the differences between CHAR and VARCHAR data types, index operations in MySQL, and string and full-text search functions.

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RDBMS with MYSQL_1
BT0075 Part -1
By Milan K Antony

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Mention 4 features of MySQL.
Security:
· A privilege and password system that is very flexible and secure,
and that allows host-based verification.
· Passwords are secure because all password traffic is encrypted when
you connect to a server.
Scalability and Limits:
· Handles large databases. We use MySQL Server with databases that
contain 50 million records. We also know of users who use MySQL
Server with 60,000 tables and about 5,000,000,000 rows.
· Up to 64 indexes per table are allowed (32 before MySQL 4.1.2).
Each index may consist of 1 to 16 columns or parts of columns. The
maximum index width is 1000 bytes (767 for InnoDB); before MySQL
4.1.2, the limit is 500 bytes. An index may use a prefix of a column
for CHAR, VARCHAR, BLOB, or TEXT column types.
Connectivity:
· Clients can connect to MySQL Server using several protocols:

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- Clients can connect using TCP/IP sockets on any platform.
- On Windows systems in the NT family (NT, 2000, XP, 2003, or
Vista), clients can connect using named pipes if the server is started
with the – enable-named-pipe option. In MySQL 4.1 and higher,
Windows servers also support shared-memory connections if started
with the – shared-memory option. Clients can connect through shared
memory by using the – protocol=memory option.
- On Unix systems, clients can connect using Unix domain socket files.
· MySQL client programs can be written in many languages. A client
library written in C is available for clients written in C or C++, or
for any language that provides C bindings.
· APIs for C, C++, Eiffel, Java, Perl, PHP, Python, Ruby, and Tcl
are available, allowing MySQL clients to be written in many languages.
· The Connector/ODBC (MyODBC) interface provides MySQL support
for client programs that use ODBC (Open Database Connectivity)
connections.
For example, you can use MS Access to connect to your MySQL
server. Clients can be run on Windows or Unix. MyODBC source is
available. All ODBC 2.5 functions are supported, as are many others.
· The Connector/J interface provides MySQL support for Java client
programs that use JDBC connections. Clients can be run on Windows
or Unix. Connector/J source is available.
· MySQL Connector/NET enables developers to easily create .NET
applications that require secure, high-performance data connectivity
with MySQL. It implements the required ADO.NET interfaces and

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integrates into ADO.NET aware tools. Developers can build
applications using their choice of .NET languages. MySQL
Connector/NET is a fully managed ADO.NET driver written in 100%
pure C#.
Localization:
· The server can provide error messages to clients in many languages.
· Full support for several different character sets, including latin1
(cp1252), german, big5, ujis, and more. For example, the
Scandinavian characters “å”, “ä” and “ö” are allowed in table and column
names. Unicode support is available as of MySQL 4.1.
· All data is saved in the chosen character set.
· Sorting and comparisons are done according to the chosen character
set and collation (using latin1 and Swedish collation by default). It is
possible to change this when the MySQL server is started. To see an
example of very advanced sorting, look at the Czech sorting code.
MySQL Server supports many different character sets that can be
specified at compile time and runtime.
· As of MySQL 4.1, the server time zone can be changed dynamically,
and individual clients can specify their own time zone.

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2. Write the differences between char and varchar data types in
MySQL.
The CHAR and VARCHAR types are similar, but differ in the
way they are stored and retrieved. They also differ in maximum
length and in whether trailing spaces are retained.
The CHAR and VARCHAR types are declared with a length that
indicates the maximum number of characters you want to store. For
example, CHAR(30) can hold up to 30 characters.
The length of a CHAR column is fixed to the length that you declare
when you create the table. The length can be any value from 0 to
255. When CHAR values are stored, they are right-padded with spaces
to the specified length. When CHAR values are retrieved, trailing
spaces are removed unless the PAD_CHAR_TO_FULL_LENGTH SQL mode
is enabled.

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Values in VARCHAR columns are variable-length strings. The length
can be specified as a value from 0 to 65,535. The effective maximum
length of a VARCHAR is subject to the maximum row size (65,535
bytes, which is shared among all columns) and the character set used.
In contrast to CHAR, VARCHAR values are stored as a one-byte or
two-byte length prefix plus data. The length prefix indicates the
number of bytes in the value. A column uses one length byte if
values require no more than 255 bytes, two length bytes if values may
require more than 255 bytes.
If strict SQL mode is not enabled and you assign a value to a CHAR
or VARCHAR column that exceeds the column’s maximum length, the
value is truncated to fit and a warning is generated. For truncation
of non-space characters, you can cause an error to occur (rather
than a warning) and suppress insertion of the value by using strict
SQL mode.
For VARCHAR columns, trailing spaces in excess of the column length
are truncated prior to insertion and a warning is generated,
regardless of the SQL mode in use. For CHAR columns, truncation of
excess trailing spaces from inserted values is performed silently
regardless of the SQL mode.
VARCHAR values are not padded when they are stored. Trailing spaces
are retained when values are stored and retrieved, in conformance
with standard SQL.

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3. Write about the operations supported by indexes in MySQL.
Indexes are used to find rows with specific column values quickly.
Without an index, MySQL must begin with the first row and then read
through the entire table to find the relevant rows. The larger the
table, the more is the cost. If the table has an index for the
columns in question, MySQL can quickly determine the position to seek
to in the middle of the data file without having to look at all the
data. If a table has 1,000 rows, this is at least 100 times faster than
reading sequentially. If you need to access most of the rows, it is
faster to read sequentially, because this minimizes disk seeks. If a
multiple-column index exists on col1 and col2, the appropriate rows
can be fetched directly. If separate single-column indexes exist on
col1 and col2, the optimizer will attempt to use the Index Merge
optimization, or attempt to find the most restrictive index by
deciding which index finds fewer rows and using that index to fetch
the rows.
Index Merge optimization: The Index Merge method is used to
retrieve rows with several range scans and to merge their results into
one. The merge can produce unions, intersections, or unions-of-
intersections of its underlying scans. This access method merges index
scans from a single table; it does not merge scans across multiple
tables.MySQL uses indexes for these operations:
· To find the rows matching a WHERE clause quickly.

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· To eliminate rows from consideration. If there is a choice between
multiple indexes, MySQL normally uses the index that finds the smallest
number of rows.
· To retrieve rows from other tables when performing joins. MySQL
can use indexes on columns more efficiently if they are declared as
the same type and size. In this context, VARCHAR and CHAR are
considered the same if they are declared as the same size. For
example, VARCHAR(10) and CHAR(10) are the same size, but
VARCHAR(10) and CHAR(15) are not.
Comparison of dissimilar columns may prevent use of indexes if values
cannot be compared directly without conversion. Suppose that a
numeric column is compared to a string column. For a given value
such as 1 in the numeric column, it might compare equal to any
number of values in the string column such as '1', ' 1', '00001', or
'01.e1'. This rules out use of any indexes for the string column.
· To find the MIN() or MAX() value for a specific indexed column
key_col. This is optimized by a preprocessor that checks whether you
are using WHERE key_part_N = constant on all key parts that occur
before key_col in the index. In this case, MySQL does a single key
lookup for each MIN() or MAX() expression and replaces it with a
constant. If all expressions are replaced with constants, the query
returns at once.

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4. Write the SQL statements to demonstrate the following using
SELECT command:
a. Expression Evaluation

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b. Using table aliases
c. ORDER BY
5. Define the following types of Joins:
a. Inner Join
they are also known as Equi Joins. They are so called because
the where statement generally compares two columns from two tables
with the equivalence operator =. Many systems use this type as the
default join. This type can be used in situations where selecting only

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those rows that have values in common in the columns specified in the
ON clause, is required. In short, the Inner Join returns all rows from
both tables where there is a match.
mysql> SELECT ProdName, Quantity FROM Products, Sales WHERE
Products.ProdID = Sales.ProdID AND Sales.Quantity > 2000;
b. Left Outer Join
In this type, all the records from the table on the left
side of the join and matching the WHERE clause in appear in the final
result set.
mysql> SELECT * FROM users LEFT JOIN users_groups ON
users.uid = users_groups.uid;
c. Right Outer Join
All the records matching the WHERE clause from the table
on the right appear.
mysql> SELECT * FROM users_groups RIGHT JOIN groups USING
(gid);

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6. Give the advantages of subqueries.
A Subquery is exactly what it sounds like: a SELECT query that is
subordinate to another query. This unit covers the various concepts
of subqueries.
1. The subquery as scalar operand: A scalar subquery is a simple
operand, and you can use it almost anywhere a single column value or
literal is legal, and you can expect it to have those characteristics
that all operands have: a data type, a length, an indication whether it
can be NULL, and so on.
2. Comparisons Using Subqueries: The output of the subqueries can
be used to compare the output of the outer most queries. This can
be done using various comparison operators like >, <, IN, and so on.
3. Subqueries with ANY, IN, and SOME: These type of subqueries
can be used in cases where a set of values need to be compared and
the output determined.

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4. Subqueries with ALL: These type of subqueries can be used in
cases where a set of values are the output generated by the inner or
subqueries and the output is possible only if all the values match with
the outer query.
5. Correlated Subqueries: Sometimes a situation arises in which a
subquery uses a field from the main query in its clause. Such a
reference by a subquery to a field in its enclosing query, is called an
outer reference, and the corresponding subquery is called a
correlated subquery, because it’s correlated with the result set of one
or more of the queries enclosing it.
6. EXISTS and NOT EXISTS: The Exists operator can be used to
check if a subquery produces any results at all. The NOT EXISTS
operator is exactly the opposite of the output produced by NOT
EXISTS.
7. Row Subqueries: A row subquery is a subquery variant that returns
a single row and can thus return more than one column value.
7. Subqueries in the FROM Clause: Subqueries are legal in a

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SELECT statement’s FROM clause. Any columns in the subquery
select list must have unique names.
7. Discuss any five string functions.
String-valued functions return NULL if the length of the result
would be greater than the value of the max_allowed_packet system
variable. For functions that operate on string positions, the first
position is numbered 1.
1,ASCII(str)-Returns the numeric value of the leftmost character of
the string str. Returns 0 if str is the empty string. Returns NULL if
str is NULL. ASCII() works for characters with numeric values from 0
to 255.1. SELECT ASCII(’2 );′
2,BIN(N)-Returns a string representation of the binary value of N,
where N is a longlong (BIGINT) number. SELECT BIN(12);
3,BIT_LENGTH(str)-Returns the length of the string str in
bits.SELECT BIT_LENGTH(’text’);
4,CHAR(N,…)--CHAR() interprets the arguments as integers and
returns a string consisting of the characters given by the code values

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of those integers. NULL values are skipped.1.SELECT
CHAR(77,121,83,81,’76 );SELECT INSERT(’Quadratic’, 3, 4, ‘What’);′
5,INSERT(str,pos,len,newstr)--Returns the string str, with the
substring beginning at position pos and len characters long replaced
by the string newstr.
8. Describe the operators that support the boolean full-text
searches.
MySQL can perform boolean full-text searches using the IN
BOOLEAN MODE modifier:· +: A leading plus sign indicates that this
word must be present in each row that is returned.
· -: A leading minus sign indicates that this word must not be
present in any of the rows that are returned.
Note: The – operator acts only to exclude rows that are otherwise
matched by other search terms. Thus, a boolean-mode search that
contains only terms preceded by – returns an empty result. It does
not return “all rows except those containing any of the excluded

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terms.”
· (no operator): By default (when neither + nor – is specified) the
word is optional, but the rows that contain it are rated higher. This
mimics the behavior of MATCH() … AGAINST() without the IN
BOOLEAN MODE modifier.
· > <: These two operators are used to change a word’s contribution
to the relevance value that is assigned to a row. The > operator
increases the contribution and the < operator decreases it.
· ( ): Parentheses group words into subexpressions. Parenthesized
groups can be nested.
· ~: A leading tilde acts as a negation operator, causing the word's
contribution to the row's relevance to be negative. This is useful for
marking “noise” words. A row containing such a word is rated lower
than others, but is not excluded altogether, as it would be with the
- operator.
· *: The asterisk serves as the truncation (or wildcard) operator.
Unlike the other operators, it should be appended to the word to be
affected. Words match if they begin with the word preceding the *

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operator.
If a stopword or too-short word is specified with the truncation
operator, it will not be stripped from a boolean query. For example,
a search for '+word +stopword*' will likely return fewer rows than a
search for '+word +stopword' because the former query remains as is
and requires stopword* to be present in a document. The latter
query is transformed to +word.
· ": A phrase that is enclosed within double quote (“"”) characters
matches only rows that contain the phrase literally, as it was typed.
The full-text engine splits the phrase into words, performs a search
in the FULLTEXT index for the words. Non-word characters need not
be matched exactly: Phrase searching requires only that matches
contain exactly the same words as the phrase and in the same order.
9. Describe the Savepoint and Rollback to Savepoint Syntaxes.

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Starting from MySQL 4.0.14 and 4.1.1, InnoDB supports the SQL
statements SAVEPOINT and ROLLBACK TO SAVEPOINT.
The SAVEPOINT statement sets a named transaction savepoint with a
name of identifier. If the current transaction already has a savepoint
with the same name, the old savepoint is deleted and a new one is
set.
The ROLLBACK TO SAVEPOINT statement rolls back a transaction to
the named savepoint. Modifications that the current transaction made
to rows after the savepoint was set are undone in the rollback, but
InnoDB does not release the row locks that were stored in memory
after the savepoint. (Note that for a new inserted row, the lock
information is carried by the transaction ID stored in the row; the
lock is not separately stored in memory. In this case, the row lock is
released in the undo.) Savepoints that were set at a later time than
the named savepoint are deleted.
10.Give the syntax of BEGIN…END compound statement.

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Stored routines may contain multiple statements, using a BEGIN … END
compound statement. begin_label and end_label must be the same, if
both are specified. Please note that the optional [NOT] ATOMIC clause
is not yet supported. This means that no transactional savepoint is set
at the start of the instruction block and the BEGIN clause used in
this context has no effect on the current transaction.
Multiple statements requires that a client is able to send query strings
containing ‘;’. This is handled in the mysql command-line client with
the delimiter command. Changing the ‘;’ end-of-query delimiter (for
example, to ‘|’) allows ‘;’ to be used in a routine body.