Removing information

Keep the information in your database up to date by deleting obsolete information.
You can remove a row from a table with the DELETE query:

DELETE FROM tablename WHERE clause

Be extremely careful when using DELETE. If you use a DELETE query without a WHERE clause, it will delete all the data in the table. I mean all the data. I repeat, all the data. The data cannot be recovered. This function of the DELETE query is right at the top of my don’t-try-this-at-home list.
You can delete a column from a table by using the ALTER query:

ALTER TABLE tablename DROP columnname

Or you could remove the whole thing and start over again with

DROP TABLE tablename
or
DROP DATABASE databasename

Updating information

Changing information in an existing row is updating the information. For instance, you might need to change the address of a member because she has moved, or you might need to add a fax number that a member left blank when he originally entered his information.
The UPDATE query is straightforward:

UPDATE tablename SET column=value,column=value,...WHERE clause

In the SET clause, you list the columns to be updated and the new values to be inserted. List all the columns that you want to change in one query. Without a WHERE clause, the values of the column(s) would be changed in all rows. But with the WHERE clause, you can specify which rows to update.
For instance, to update an address in the Member table, use this query:

UPDATE Member SET street=”3333 Giant St”,
phone=”555-555-5555”
WHERE loginName=”bigguy”

How to Use Join?

Combining tables side by side is a join. Tables are combined by matching data in a column — the column that they have in common. The combined results table produced by a join contains all the columns from both tables. For instance, if one table has two columns (memberID and height), and the second table has two columns (memberID and weight), a join results in a table with four columns: memberID (from the first table), height, memberID (from the second table), and weight.

The two common types of joins are an inner join and an outer join. The difference between an inner and outer join is in the number of rows included in the results table. The results table produced by an inner join contains only rows that existed in both tables. The combined table produced by an outer join contains all rows that existed in one table with blanks in the columns for the rows that did not exist in the second table. For instance, if table1 contains a row for Joe and a row for Sally, and table2 contains only a row for Sally, an inner join would contain only one row: the row for Sally. However, an outer join would contain two rows — a row for Joe and a row for Sally — even though the row for Joe would have a blank field for weight. The results table for the outer join contains all the rows for one table. If any of the rows for that table don’t exist in the second table, the columns for the second table are empty. Clearly, the contents of the results table are determined by which table contributes all its rows, requiring the second table to match it. Two kinds of outer joins control which table sets the rows and which match: a LEFT JOIN and a RIGHT JOIN. You use different SELECT queries for an inner join and the two types of outer joins. The following query is an inner join:

SELECT columnnamelist FROM table1,table2
WHERE table1.col2 = table2.col2
And these queries are outer joins:
SELECT columnnamelist FROM table1 LEFT JOIN table2
ON table1.col1=table2.col2
SELECT columnnamelist FROM table1 RIGHT JOIN table2
ON table1.col1=table2.col2

In all three queries, table1 and table2 are the tables to be joined. You can join more than two tables. In both queries, col1 and col2 are the names of the columns being matched to join the tables. The tables are matched based on the data in these columns. These two columns can have the same name or different names. The two columns must contain the same type of data.

How to Use UNION

UNION is used to combine the results from two or more select queries. The results from each query are added to the result set following the results of the previous query. The format of the UNION query is as follows:

SELECT query UNION ALL SELECT query ...

You can combine as many SELECT queries as you need. A SELECT query can include any valid SELECT format, including WHERE clauses, LIMIT clauses, and so on. The rules for the queries are

• All the select queries must select the same number of columns.
• The columns selected in the queries must contain the same type of data.

The result set will contain all the rows from the first query followed by all the rows from the second query and so on. The column names used in the result set are the column names from the first SELECT query. The series of SELECT queries can select different columns from the same table, but situations in which you want a new table with one column in a table followed by another column from the same table are unusual. It’s much more likely that you want to combine columns from different tables. For example, you might have a table of members who have resigned from the club and a separate table of current members. You can get a list of all members, both current and resigned, with the following query:

SELECT lastName,firstName FROM Member UNION ALL SELECT lastName,firstName FROM OldMember

The result of this query is the last and first names of all current members, followed by the last and first names of all the members who have resigned. Depending on how you organized your data, you might have duplicate names. For instance, perhaps a member resigned, and his name is in the OldMember table — but he joined again, so his name is added to the Member table. If you don’t want duplicates, don’t include the word ALL. If ALL is not included, duplicate lines are not added to the result.
You can use ORDER BY with each SELECT query, as I discuss in the previous section, or you can use ORDER BY with a UNION query to sort all the rows in the result set. If you want ORDER BY to apply to the entire result set, rather than just to the query that it follows, use parentheses as follows:

(SELECT lastName FROM Member UNION ALL
SELECT lastName FROM OldMember) ORDER BY lastName

The UNION statement was introduced in MySQL 4.0. It is not available in MySQL 3.

Combining information from tables

In previous sections of this chapter, I assume that all the information you want is in a single table. However, you might want to combine information from different tables. You can do this easily in a single query. Two words can be used in a SELECT query to combine information from two or more tables:

• UNION: Rows are retrieved from one or more tables and stored together, one after the other, in a single result. For example, if your query selected 6 rows from one table and 5 rows from another table, the result would contain 11 rows.
• JOIN: The tables are combined side by side, and the information is retrieved from both tables.

Retrieving data from a specific source

Frequently, you don’t want all the information from a table. You want information from selected database objects, that is, rows. Three SQL words are frequently used to specify the source of the information:

• WHERE: Allows you to request information from database objects with certain characteristics. For instance, you can request the names of members who live in California, or you can list only pets that are cats.
• LIMIT: Allows you to limit the number of rows from which information is retrieved. For instance, you can request all the information from the first three rows in the table.
• DISTINCT: Allows you to request information from only one row of identical rows. For instance, in the Login table, you can request loginName but specify no duplicate names, thus limiting the response to one record for each member. This would answer the question, “Has the member ever logged in?” rather than the question “How many times has the member logged in?”

The WHERE clause of the SELECT query enables you to make complicated selections. For instance, suppose your boss asks for a list of all the members whose last names begin with B, who live in Santa Barbara, and who have an 8 in either their phone or fax number. I’m sure there are many uses for such a list. You can get this list for your boss with a SELECT query by using a WHERE clause.
The basic format of the WHERE clause is

WHERE expression AND|OR expression AND|OR expression ...

expression specifies a value to compare with the values stored in the database. Only the rows containing a match for the expression are selected. You can use as many expressions as needed, each one separated by AND or OR. When you use AND, both of the expressions connected by the AND (that is, both the expression before the AND and the expression after the AND) must be true in order for the row to be selected. When you use OR, only one of the expressions connected by the OR must be true for the row to be selected. You can combine any of the expressions with ANDs and ORs. In some cases, you need to use parentheses to clarify the selection criteria. For instance, you can use the following query to answer your boss’s urgent need to find all people in the Member Directory whose names begin with B, who live in Santa Barbara, and who have an 8 in either their phone or fax number:

SELECT lastName,firstName FROM Member
WHERE lastName LIKE “B%”
AND city = “Santa Barbara”

AND (phone LIKE “%8%” OR fax LIKE “%8%”) Notice the parentheses in the last line. You would not get the results that your boss asked for without the parentheses. Without the parentheses, each connector would be processed in order from the first to the last, resulting in a list that includes all members whose names begin with B and who live in Santa Barbara and whose phone numbers have an 8 in them and all members whose fax numbers have an 8 in them, whether they live in Santa Barbara or not and whether their name begins with a B or not. When the last OR is processed, members are selected whose characteristics match the expression before the OR or the expression after the OR. The expression before the OR is connected to previous expressions by the previous ANDs and so does not stand alone, but the expression after the OR does stand alone, resulting in the selection of all members with an 8 in their fax number.

LIMIT specifies how many rows can be returned. The form for LIMIT is
LIMIT startnumber,numberofrows

The first row that you want to retrieve is startnumber, and the number of rows to retrieve is numberofrows. If startnumber is not specified, 1 is assumed. To select only the first three members who live in Texas, use this query:

SELECT * FROM Member WHERE state=”TX” LIMIT 3

Some SELECT queries will find identical records, but in this example you want to see only one — not all — of the identical records. To prevent the query from returning all identical records, add the word DISTINCT immediately after SELECT.

Retrieving data in a specific order

You might want to retrieve data in a particular order. For instance, in the Member table, you might want members organized in alphabetical order by last name. Or, in the Pet table, you might want the pets grouped by type of pet. In a SELECT query, ORDER BY and GROUP BY affect the order in which the data is delivered to you:

• ORDER BY: To sort information, use the phrase ORDER BY columnname The data is sorted by columnname in ascending order. For instance, if columnname is lastName, the data is delivered to you in alphabetical order by the last name. You can sort in descending order by adding the word DESC before the column name. For example: SELECT * FROM Member ORDER BY DESC lastName
  
• GROUP BY: To group information, use the following phrase: GROUP BY columnname The rows that have the same value of columnname are grouped together. For example, use this query to group the rows that have the same value as petType:
  
• SELECT * FROM Pet GROUP BY petType
  
• You can use GROUP BY and ORDER BY in the same query.

Retrieving specific information

To retrieve specific information, list the columns containing the information you want. For example:

SELECT columnname,columnname,columnname,... FROM tablename

This query retrieves the values from all the rows for the indicated column(s). For instance, the following query retrieves all the last names and first names stored in the Member table:

SELECT lastName,firstName FROM Member

You can perform mathematical operations on columns when you select them.
For example, you can use the following SELECT query to add two columns:

SELECT col1+col2 FROM tablename

Or you could use the following query:

SELECT price,price*1.08 FROM Pet

The result is the price and the price with the sales tax of 8 percent added.
You can change the name of a column when selecting it, as follows:

SELECT price,price*1.08 AS priceWithTax FROM Pet

The AS clause tells MySQL to give the name priceWithTax to the second column retrieved. Thus, the query retrieves two columns of data: price and priceWithTax.
In some cases, you don’t want to see the values in a column, but you want to know something about the column. For instance, you might want to know the lowest value in the column or the highest value in the column. For example, the query to find out the highest price in the Pet table is

SELECT MAX(price) FROM Pet

SQL words that look like MAX() and SUM(), with parentheses following the name, are functions. Some functions provide information about a column. Other functions change each value selected. For example, SQRT() returns the square root of each value in the column, and DAYNAME() returns the name of the day of the week for each value in a date column, rather than the actual date stored in the column. More than 100 functions are available for use in a SELECT query. For descriptions of all the functions, see the MySQL online manual at dev.mysql.com/doc/refman/5.0/en/functions.html.

Retrieving information from database

The only purpose in storing information is to have it available when you need it. A database lives to answer questions. What pets are for sale? Who are the members? How many members live in Arkansas? Do you have an alligator for sale? How much does a dragon cost? What is Goliath Smith’s phone number? And on and on. You use the SELECT query to ask the database questions.
The simplest, basic SELECT query is

SELECT * FROM tablename

This query retrieves all the information from the table. The asterisk (*) is a wildcard meaning all the columns.
The SELECT query can be much more selective. SQL words and phrases in the SELECT query can pinpoint the information needed to answer your question. You can specify what information you want, how you want it organized, and the source of the information:

• You can request only the information (the columns) that you need to answer your question. For instance, you can request only the first and last names to create a list of members.
• You can request information in a particular order. For instance, you can request that the information be sorted in alphabetical order.
• You can request information from selected objects (the rows) in your table. For instance, you can request the first and last names for only those members whose addresses are in Florida.

In MySQL 4.1, MySQL added the ability to nest a SELECT query inside another query. The nested query is called a subquery. You can use a subquery in SELECT, INSERT, UPDATE, or DELETE queries or in SET clauses. A subquery can return a single value, a single row or column, or a table, which is used in the outer query. All the features of SELECT queries can be used in subqueries. See the MySQL online manual at dev.mysql.com/doc/refman/5.0/en/ subqueries.html for detailed information on using subqueries.

How to adding a bunch of data into database?

If you have a large amount of data to enter and it’s already in a computer file, you can transfer the data from the existing computer file to your MySQL database. The SQL query that reads data from a text file is LOAD. The LOAD query requires you to specify a database.

Because data in a database is organized in rows and columns, the text file being read must indicate where the data for each column begins and ends and where the end of a row is. To indicate columns, a specific character separates the data for each column. By default, MySQL looks for a tab character to separate the fields. However, if a tab doesn’t work for your data file, you can choose a different character to separate the fields and tell MySQL in the query that a different character than the tab separates the fields. Also by default, the end of a line is expected to be the end of a row — although you can choose a character to indicate the end of a line if you need to. A data file for the Pet table might look like this:

UnicornhorseSpiral horn5000.00/pix/unicorn.jpg
PegasushorseWinged8000.00/pix/pegasus.jpg
LioncatLarge; Mane on neck2000.00/pix/lion.jpg

A data file with tabs between the fields is a tab-delimited file. Another common format is a comma-delimited file, where commas separate the fields. If your data is in another file format, you need to convert it into a delimited file. To convert data in another file format into a delimited file, check the manual for that software or talk to your local expert who understands the data’s current format. Many programs, such as Excel, Access, and Oracle, allow you to output the data into a delimited file. For a text file, you might be able to convert it to delimited format by using the search-and-replace function of an editor or word processor. For a truly troublesome file, you might need to seek the help of an expert or a programmer.
The basic form of the LOAD query is

LOAD DATA INFILE “path/datafilename” INTO TABLE tablename

The query loads data from a text file located on your server. If the filename does not include a path, MySQL looks for the data file in the directory where your table definition file, called tablename.frm, is located. By default, this file is located in a directory named for your database, such as a directory named PetDirectory. This directory is located in your data directory, which is located in the main directory where MySQL is installed. For example, if the file was named data.dat, the LOAD command might look for the file at C:\Program Files\MySQL\MySQL Server 5.0\data\PetDirectory\ data.dat.
This basic form can be followed by optional phrases if you want to change a
default delimiter. The options are

FIELDS TERMINATED BY ‘character’
FIELDS ENCLOSED BY ‘character’
LINES TERMINATED BY ‘character’

Suppose that you have the data file for the Pet table, shown previously in this section, except that the fields are separated by a comma rather than a tab. The name of the data file is pets.dat, and it’s located in the same directory as the database. The SQL query to read the data into the table is

LOAD DATA INFILE “pets.dat” INTO TABLE Pet FIELDS TERMINATED BY ‘,’

To use the LOAD DATA INFILE query, the MySQL account must have the FILE privilege on the server host.
You can also load data from a text file on your local computer by using the word LOCAL, as follows:

LOAD DATA LOCAL INFILE “path/datafilename” INTO TABLE tablename

You must include a path to the file. Use forward slashes for the path, even on a Windows computer, such as “C:/data/datafile1.txt”. If you get an error message when sending this query, LOCAL may not be enabled.

To look at the data that you loaded — to make sure that it’s correct — use an SQL query that retrieves data from the database. I describe these types of SQL queries in detail in the next section. In brief, use the following query to look at all the data in the table so that you can check it:

SELECT * FROM Pet

How to add one row at a time to a database?

You use the INSERT query to add a row to a database. This query tells MySQL which table to add the row to and what the values are for the fields in the row.
The general form of the query is

INSERT INTO tablename (columnname, columnname,...,columnname)
VALUES (value, value,...,value)

The following rules apply to the INSERT query:

• Values must be listed in the same order in which the column names are listed. The first value in the value list is inserted into the column that’s named first in the column list; the second value in the value list is inserted into the column that’s named second; and so on.
• A partial column list is allowed. You don’t need to list all the columns. Columns that are not listed are given their default value or left blank if no default value is defined.
• A column list is not required. If you’re entering values for all the columns, you don’t need to list the columns at all. If no columns are listed, MySQL will look for values for all the columns, in the order in which they appear in the table.
• The column list and value list must be the same length. If the list of columns is longer or shorter than the list of values, you get an error message like this: Column count doesn’t match value count.

The following INSERT query adds a row to the Member table:

INSERT INTO Member (loginName,createDate,password,lastName, street,city,state,zip,email,phone,fax)
VALUES (“bigguy”,”2001-Dec-2”,”secret”,”Smith”, “1234 Happy St”,”Las Vegas”,”NV”,”88888”, “gsmith@GSmithCompany.com”,”(555) 555-5555”,””)

Notice that firstName is not listed in the column name list. No value is entered into the firstName field. If firstName were defined as NOT NULL, MySQL would not allow this. Also, if the definition for firstName included a default, the default value would be entered, but because it doesn’t, the field is left empty. Notice that the value stored for fax is an empty string. To look at the data that you entered and ensure that you entered it correctly, use an SQL query that retrieves data from the database. I describe these SQL queries in detail in “Retrieving information,” later in this chapter. In brief, the following query retrieves all the data in the Member table:

SELECT * FROM Member

How to add information?

Every database needs data. For example, you might want to add data to your database so that your users can look at it. Or you might want to create an empty database for users to put data into, making the data available for your eyes only — an example of this is the Member Directory. In either scenario, data will be added to the database.
If your data is still on paper, you can enter it directly into a MySQL database, one row at a time, by using an SQL query. However, if you have a lot of data, this process could be tedious and involve a lot of typing. Suppose that you have information on 1000 products that must be added to your database. Assuming that you’re greased lightening on a keyboard and can enter a row per minute, that’s 16 hours of rapid typing — well, rapid editing, anyway. Doable, but not fun. On the other hand, suppose that you need to enter 5000 members of an organization into a database and that it takes five minutes to enter each member. Now you’re looking at more than 400 hours of typing — who has time for that?
If you have a large amount of data to enter, consider some alternatives. Sometimes scanning in the data is an option. Or perhaps you need to beg, borrow, or hire some help. In many cases, it could be faster to enter the data into a big text file than to enter each row in a separate SQL query. The SQL query LOAD can read data from a big text file (or even a small text file). So, if your data is already in a computer file, you can work with that file; you don’t need to type all the data again. Even if the data is in a format other than a text file (for example, in an Excel, Access, or Oracle file), you can usually convert the file to a big text file, which can then be read into your MySQL database. If the data isn’t yet in a computer file and there’s a lot of data, it might be faster to enter that data into the computer in a big text file and transfer it into MySQL as a second step.
Most text files can be read into MySQL, but some formats are easier than others. If you’re planning to enter the data into a big text file, read the section, “Adding a bunch of data,” to find the best format. Of course, if the data is already on the computer, you have to work with the file as it is.

Changing the database structure

Your database isn’t written in stone. By using the ALTER query, you can change the name of the table; add, drop, or rename a column; or change the data type or other attributes of the column.
The basic format for this query is ALTER TABLE tablename, followed by the specified changes.

• ADD columnname definition Adds a column; definition includes the data type and optional definitions.
• ALTER columnname SET DEFAULT value Changes the default value for a column
• ALTER columnname DROP DEFAULT Removes the default value for a column.
• CHANGE columnname newcolumnname definition Changes the definition of a column and renames the colum, definition includes the data type and optional definitions
  
• DROP columnname Deletes a column, including all the data in the column. The data cannot be recovered.
• MODIFY columnname definition Changes the definition of a column; definition includes the data type and optional definitions.
• RENAME newtablename Renames a table.

Changing a database is not a rare occurrence. You might want to change your database for many reasons. For example, suppose that you defined the column lastName with VARCHAR(20) in the Member table of the MemberDirectory database. At the time, 20 characters seemed sufficient for a last name. But now you just received a memo announcing the new CEO, John Schwartzheimer-Losertman. Oops. MySQL will truncate his name to the first 20 letters, a less-than-desirable new name for the boss. So you need to make the column wider — pronto. Send this query to change the column in a second:
ALTER TABLE Member MODIFY lastName VARCHAR(50)

How to delete a database?

You can delete any database with this SQL query:
DROP DATABASE databasename
Use DROP carefully because it is irreversible. After a database is dropped, it is gone forever. And any data that was in it is gone as well.

How to create a new database?

To create a new, empty database, use the following SQL query:
CREATE DATABASE databasename where databasename is the name that you give the database. For instance, these two SQL queries create the sample databases used in this book:
CREATE DATABASE PetCatalog
CREATE DATABASE MemberDirectory
Some Web hosting companies don’t allow you to create a new database. You are given one database to use with MySQL, and you can create tables in only this one database. You can try requesting another database, but you need a good reason. MySQL and PHP don’t care that all your tables are in one database instead of organized into databases with meaningful names. It’s just easier for humans to keep track of projects when they’re organized.
To see for yourself that a database was in fact created, use this SQL query:
SHOW DATABASES
After you create an empty database, you can add tables to it.

A quick way to send SQL queries to the MySQL server

When MySQL is installed, a simple, text-based program called mysql (or sometimes the terminal monitor or the monitor) is also installed. Programs that communicate with servers are client software; because this program communicates with the MySQL server, it’s a client. When you enter SQL queries in this client, the response is returned to the client and displayed onscreen. The monitor program can send queries across a network; it doesn’t have to be running on the machine where the database is stored.
To send SQL queries to MySQL by using the mysql client, follow these steps:

• Locate the mysql client. By default, the mysql client program is installed in the subdirectory bin, under the directory where MySQL is installed. In Unix/Linux, the default is /usr/local/mysql/bin or /usr/local/bin. In Windows, the default is c:\Program Files\MySQL\MySQL Server 5.0\bin. However, the client might be installed in a different directory. Or, if you’re not the MySQL administrator, you might not have access to the mysql client. If you don’t know where MySQL is installed or can’t run the client, ask the MySQL administrator to put the client somewhere where you can run it or to give you a copy that you can put on your own computer.
• Start the client. In Unix and Linux, type the path/filename (for example, /usr/local/mysql/bin/ mysql). In Windows, open a command prompt window and then type the path\filename (for example, c:\ Program Files\MySQL\MySQL Server 5.0\bin\mysql). This command will start the client if you don’t need to use an account name or a password. If you need to enter an account or a password or both, use the following parameters:
• u user: user is your MySQL account name.
• p: This parameter prompts you for the password for your MySQL account.

For instance, if you’re in the directory where the mysql client is located, the command might look like this:

mysql -u root -p

• If you’re starting the mysql client to access a database across the network, use the following parameter after the mysql command:
• h host: host is the name of the machine where MySQL is located.

For instance, if you’re in the directory where the mysql client is located, the command might look like this:
mysql -h mysqlhost.mycompany.com -u root -p
Press Enter after typing the command.

• Enter your password when prompted for it. The mysql client starts, and you see something similar to this: Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 459 to server version: 5.0.15 Type ‘help;’ or ‘\h’ for help. Type ‘\c’ to clear the buffer. mysql>
• Select the database that you want to use. At the mysql prompt, type the following: use databasename Use the name of the database that you want to query.
• At the mysql prompt, type your SQL query followed by a semicolon (;), and then press the Enter key. The mysql client continues to prompt for input and does not execute the query until you enter a semicolon. The response to the query is displayed onscreen.
• To leave the mysql client, type quit at the prompt and then press the Enter key.

Building SQL queries

SQL (Structured Query Language) is the computer language that you use to communicate with MySQL. SQL is almost English; it is made up largely of English words, put together into strings of words that sound similar to English sentences. In general (fortunately), you don’t need to understand any arcane technical language to write SQL queries that work. The first word of each query is its name, which is an action word (a verb) that tells MySQL what you want to do. The queries that I discuss in this chapter are CREATE, DROP, ALTER, SHOW, INSERT, LOAD, SELECT, UPDATE, and DELETE. This basic vocabulary is sufficient to create — and interact with —databases on Web sites.

The query name is followed by words and phrases — some required and some optional — that tell MySQL how to perform the action. For instance, you always need to tell MySQL what to create, and you always need to tell it which table to insert data into or to select data from.
The following is a typical SQL query. As you can see, it uses English words:

SELECT lastName FROM Member

This query retrieves all the last names stored in the table named Member.
More complicated queries, such as the following, are less English-like:

SELECT lastName,firstName FROM Member WHERE state=”CA” AND city=”Fresno” ORDER BY lastName

This query retrieves all the last names and first names of members who live in Fresno and then puts them in alphabetical order by last name. This query is less English-like but still pretty clear.
Here are some general points to keep in mind when constructing an SQL query, as illustrated in the preceding sample query:

• Capitalization: In this book, I put SQL language words in all caps; items of variable information (such as column names) are usually given labels that are all or mostly lowercase letters. I did this to make it easier for you to read — not because MySQL needs this format. The case of the SQL words doesn’t matter; for example, select is the same as SELECT, and from is the same as FROM, as far as MySQL is concerned. On the other hand, the case of the table names, column names, and other variable information does matter if your operating system is Unix or Linux. When using Unix or Linux, MySQL needs to match the column names exactly, so the case for the column names has to be correct — for example, lastname is not the same as lastName. Windows, however, isn’t as picky as Unix and Linux; from its point of view, lastname and lastName are the same.
• Spacing: SQL words must be separated by one or more spaces. It doesn’t matter how many spaces you use; you could just as well use 20 spaces or just 1 space. SQL also doesn’t pay any attention to the end of the line. You can start a new line at any point in the SQL statement or write the entire statement on one line.
• Quotes: Notice that CA and Fresno are enclosed in double quotes (“) in the preceding query. CA and Fresno are series of characters called text strings, or character strings. You are asking MySQL to compare the text strings in the SQL query with the text strings already stored in the database. When you compare numbers (such as integers) stored in numeric columns, you don’t enclose the numbers in quotes.

Communicating with MySQL

The MySQL server is the manager of your database:

• It creates new databases.
• It knows where the databases are stored.
• It stores and retrieves information, guided by the requests, or queries, that it receives.

To make a request that MySQL can understand, you build an SQL query and send it to the MySQL server.