Home > Articles > Data > MySQL

Working with Data in MySQL

Virtually everything you do in MySQL involves data in some way or another because the purpose of a database management system is, by definition, to manage data. This chapter will help you get started working with data in SQL.
This chapter is from the book

This chapter is from the book

Virtually everything you do in MySQL involves data in some way or another because the purpose of a database management system is, by definition, to manage data. Even a simple SELECT 1 statement involves expression evaluation to produce an integer data value.

Every data value in MySQL has a type. For example, 37.4 is a number and 'abc' is a string. Sometimes data types are explicit, such as when you issue a CREATE TABLE statement that specifies the type for each column you define as part of the table:

  int_col INT,      # integer-valued column
  str_col CHAR(20), # string-valued column
  date_col DATE     # date-valued column

Other times data types are implicit, such as when you refer to literal values in an expression, pass values to a function, or use the value returned from a function. The following INSERT statement does all of those things:

INSERT INTO mytbl (int_col,str_col,date_col)

The statement performs the following operations, all of which involve data types:

  • It assigns the integer value 14 to the integer column int_col.

  • It passes the string values 'a' and 'b' to the CONCAT() string-concatenation function. CONCAT() returns the string value 'ab', which is assigned to the string column str_col.

  • It assigns the integer value 20050115 to the date column date_col. The assignment involves a type mismatch, but the integer value can reasonably be interpreted as a date value, so MySQL performs an automatic type conversion that converts the integer 20050115 to the date '2005-01-15'.

To use MySQL effectively, it's essential to understand how MySQL handles data. This chapter describes the types of data values that MySQL can handle, and discusses the issues involved in working with those types:

  • The general categories of data values that MySQL can represent, including the NULL value.

  • The specific data types MySQL provides for table columns, and the properties that characterize each data type. Some of MySQL's data types are fairly generic, such as the BLOB string type. Others behave in special ways that you should understand to avoid being surprised. These include the TIMESTAMP data type and integer types that have the AUTO_INCREMENT attribute.

  • MySQL's capabilities for working with different character sets.

  • Note: Support for multiple character sets was introduced beginning with MySQL 4.1, but underwent quite a bit of development during the early 4.1 releases. For best results, avoid early releases and use a recent 4.1 release instead.

  • How to choose data types appropriately for your table columns. It's important to know how to pick the best type for your purposes when you create a table, and when to choose one type over another when several related types might be applicable to the kind of values you want to store.

  • MySQL's rules for expression evaluation. You can use a wide range of operators and functions in expressions to retrieve, display, and manipulate data. Expression evaluation includes rules governing type conversion that come into play when a value of one type is used in a context requiring a value of another type. It's important to understand when type conversion happens and how it works; some conversions don't make sense and result in meaningless values. Assigning the string '13' to an integer column results in the value 13, but assigning the string 'abc' to that column results in the value 0 because 'abc' doesn't look like a number. Worse, if you perform a comparison without knowing the conversion rules, you can do considerable damage, such as updating or deleting every row in a table when you intend to affect only a few specific rows. MySQL 5.0 introduces "strict" data-handling mode, which enables you to cause bad data values to be rejected.

Two appendixes provide additional information that supplements the discussion in this chapter about MySQL's data types, operators, and functions. These are Appendix B, "Data Type Reference," and Appendix C, "Operator and Function Reference."

The examples shown throughout this chapter use the CREATE TABLE and ALTER TABLE statements extensively to create and alter tables. These statements should be reasonably familiar to you because we have used them in Chapter 1, "Getting Started with MySQL and SQL," and Chapter 2, "MySQL SQL Syntax and Use." See also Appendix E, "SQL Syntax Reference."

MySQL supports several table types, each of which is managed by a different storage engine, and which differ in their properties. In some cases, a column with a given data type behaves differently for different storage engines, so the way you intend to use a column might determine or influence which storage engine to choose when you create a table. This chapter refers to storage engines on occasion, but a more detailed description of the available engines and their characteristics can be found in Chapter 2.

Data handling also depends in some cases on how default values are defined and on the current SQL mode. For general background on setting the SQL mode, see "The Server SQL Mode," in Chapter 2. In the current chapter, default value handing is covered in "Specifying Column Default Values." Strict mode and the rules for treatment of bad data are covered in "How MySQL Handles Invalid Data Values."

Categories of Data Values

MySQL knows about several general categories in which data values can be represented. These include numbers, string values, temporal values such as dates and times, spatial values, and the NULL value.

Numeric Values

Numbers are values such as 48 or 193.62. MySQL understands numbers specified as integers (which have no fractional part) and floating-point or fixed-point values (which may have a fractional part). Integers can be specified in decimal or hexadecimal format.

An integer consists of a sequence of digits with no decimal point. In numeric contexts, an integer can be specified as a hexadecimal constant and is treated as a 64-bit integer. For example, 0x10 is 16 decimal. Hexadecimal values are treated as strings by default, so their syntax is given in the next section, "String Values."

A floating-point or fixed-point number consists of a sequence of digits, a decimal point, and another sequence of digits. The sequence of digits before or after the decimal point may be empty, but not both.

MySQL understands scientific notation. This is indicated by immediately following an integer or floating-point number with 'e' or 'E', a sign character ('+' or '-'), and an integer exponent. 1.34E+12 and 43.27e-1 are legal numbers in scientific notation. The number 1.34E12 is also legal even though it is missing an optional sign character before the exponent.

Hexadecimal numbers cannot be used in scientific notation; the 'e' that begins the exponent part is also a legal hex digit and thus would be ambiguous.

Any number can be preceded by a plus or minus sign character ('+' or '-'), to indicate a positive or negative value.

As of MySQL 5.0.3, bit-field values can be written as b'val', where val consists of one or more binary digits (0 or 1). For example, b'1001' is 9 decimal. This notation coincides with the introduction of the BIT data type, but bit-field values can be used more generally in other contexts.

mysql> SELECT b'101010' + 0;
| b'101010' + 0 |
|            42 |
mysql> SELECT CHAR(b'1100001');
| CHAR(b'1100001') |
| a                |

String Values

Strings are values such as 'Madison, Wisconsin', 'patient shows improvement', or even '12345' (which looks like a number, but isn't). Usually, you can use either single or double quotes to surround a string value, but there are two reasons to stick with single quotes:

  • The SQL standard specifies single quotes, so statements that use single-quoted strings are more portable to other database engines.

  • If the ANSI_QUOTES SQL mode is enabled, it treats the double quote as an identifier quoting character, not as a string quoting character. This means that a double-quoted value must refer to something like a database or table.

For the examples that use the double quote as a string quoting character in the discussion that follows, assume that ANSI_QUOTES mode is not enabled.

MySQL recognizes several escape sequences within strings that indicate special characters, as shown in Table 3.1. Each sequence begins with a backslash character ('\') to signify a temporary escape from the usual rules for character interpretation. Note that a NUL byte is not the same as the SQL NULL value; NUL is a zero-valued byte, whereas NULL in SQL signifies the absence of a value.

Table 3.1 String Escape Sequences




NUL (zero-valued byte)


Single quote


Double quote




Newline (linefeed)


Carriage return




Single backslash


Ctrl-Z (Windows EOF character)

The escape sequences shown in the table are case sensitive, and any character not listed in the table is interpreted as itself if preceded by a backslash. For example, \t is a tab, but \T is an ordinary 'T' character.

The table shows how to escape single or double quotes using backslash sequences, but you actually have several options for including quote characters within string values:

  • Double the quote character if the string itself is quoted using the same character:

  • 'I can''t'
    "He said, ""I told you so."""
  • Quote the string with the other quote character. In this case, you do not double the quote characters within the string:

  • "I can't"
    'He said, "I told you so."'
  • Escape the quote character with a backslash; this works regardless of the quote characters used to quote the string:

  • 'I can\'t'
    "I can\'t"
    "He said, \"I told you so.\""
    'He said, \"I told you so.\"'

To turn off the special meaning of backslash and treat it as an ordinary character, enable the NO_BACKSLASH_ESCAPES SQL mode, which is available as of MySQL 5.0.2.

As an alternative to using quotes for writing string values, you can use two forms of hexadecimal notation. The first consists of '0x' followed by one or more hexadecimal digits ('0' through '9' and 'a' through 'f'). For example, 0x0a is 10 decimal, and 0xffff is 65535 decimal. The non-decimal hex digits ('a' through 'f') can be specified in uppercase or lowercase, but the leading '0x' cannot be given as '0X'. That is, 0x0a and 0x0A are legal hexadecimal values, but 0X0a and 0X0A are not. In string contexts, pairs of hexadecimal digits are interpreted as 8-bit numeric byte values in the range from 0 to 255, and the result is used as a string. In numeric contexts, a hexadecimal constant is treated as a number. The following statement illustrates the interpretation of a hex constant in each type of context:

mysql> SELECT 0x61626364, 0x61626364+0;
| 0x61626364 | 0x61626364+0 |
| abcd       |   1633837924 |

If a hexadecimal value written using 0x notation has an odd number of hex digits, MySQL treats it as though the value has a leading zero. For example, 0xa is treated as 0x0a.

String values may also be specified using the standard SQL notation X'val', where val consists of pairs of hexadecimal digits. As with 0x notation, such values are interpreted as strings, but may be used as numbers in a numeric context:

mysql> SELECT X'61626364', X'61626364'+0;
| X'61626364' | X'61626364'+0 |
| abcd        |    1633837924 |

Unlike 0x notation, the leading 'X' is not case sensitive:

mysql> SELECT X'61', x'61';
| X'61' | x'61' |
| a     | a     |

Properties of Binary and Non-Binary Strings

String values fall into two general categories, binary and non-binary:

  • A binary string is a sequence of bytes. These bytes are interpreted without respect to any concept of character set. A binary string has no special comparison or sorting properties. Comparisons are done byte by byte based on numeric byte values. Trailing spaces are significant in comparisons.

  • A non-binary string is a sequence of characters. It is associated with a character set, which determines the allowable characters that may be used and how MySQL interprets the string contents. Character sets have one or more collating (sorting) orders. The particular collation used for a string determines the ordering of characters in the character set, which affects comparison operations. Trailing spaces are not significant in comparisons. The default character set and collation are latin1 and latin1_swedish_ci.

Character units vary in their storage requirements. A single-byte character set such as latin1 uses one byte per character, but there also are multi-byte character sets in which some or all characters require more than one byte. For example, both of the Unicode character sets available in MySQL are multi-byte. ucs2 is a double-byte character set in which each character requires two bytes. utf8 is a variable-length multi-byte character set with characters that take from one to three bytes.

To find out which character sets and collations are available in your server as it currently is configured, use these two statements:

| Charset  | Description                 | Default collation   | Maxlen |
| big5     | Big5 Traditional Chinese    | big5_chinese_ci     |      2 |
| dec8     | DEC West European           | dec8_swedish_ci     |      1 |
| cp850    | DOS West European           | cp850_general_ci    |      1 |
| hp8      | HP West European            | hp8_english_ci      |      1 |
| koi8r    | KOI8-R Relcom Russian       | koi8r_general_ci    |      1 |
| latin1   | ISO 8859-1 West European    | latin1_swedish_ci   |      1 |
| utf8     | UTF-8 Unicode               | utf8_general_ci     |      3 |
| ucs2     | UCS-2 Unicode               | ucs2_general_ci     |      2 |
| Collation            | Charset  | Id  | Default | Compiled | Sortlen |
| big5_chinese_ci      | big5     |  1  | Yes     | Yes      |       1 |
| big5_bin             | big5     | 84  |         | Yes      |       1 |
| latin1_german1_ci    | latin1   |  5  |         |          |       0 |
| latin1_swedish_ci    | latin1   |  8  | Yes     | Yes      |       1 |
| latin1_danish_ci     | latin1   | 15  |         |          |       0 |
| latin1_german2_ci    | latin1   | 31  |         | Yes      |       2 |
| latin1_bin           | latin1   | 47  |         | Yes      |       1 |
| latin1_general_ci    | latin1   | 48  |         |          |       0 |
| latin1_general_cs    | latin1   | 49  |         |          |       0 |
| latin1_spanish_ci    | latin1   | 94  |         |          |       0 |

As shown by the output from SHOW COLLATION, each collation is specific to a given character set, but a given character set might have several collations. Collation names usually consist of a character set name, a language, and an additional suffix. For example, utf8_icelandic_ci is a collation for the utf8 Unicode character set in which comparisons follow Icelandic sorting rules and characters are compared in case-insensitive fashion. Collation suffixes have the following meanings:

  • _ci indicates a case-insensitive collation.

  • _cs indicates a case-sensitive collation.

  • _bin indicates a binary collation. That is, comparisons are based on character code values without reference to any language. For this reason, _bin collation names do not include any language name. Examples: latin1_bin and utf8_bin.

The sorting properties for binary and non-binary strings differ as follows:

  • Binary strings are processed byte by byte in comparisons based solely on the numeric value of each byte. One implication of this property is that binary values appear to be case sensitive, but that actually is a side effect of the fact that uppercase and lowercase versions of a character have different numeric byte values. There isn't really any notion of lettercase for binary strings. Lettercase is a function of collation, which applies only to character (non-binary) strings.

  • Non-binary strings are processed character by character in comparisons, and the relative value of each character is determined by the collating sequence that is used for the character set. For most collations, uppercase and lowercase versions of a given letter have the same collating value, so non-binary string comparisons typically are not case sensitive. However, that is not true for case-sensitive or binary collations.

Because collations are used for comparison and sorting, they affect many operations:

  • Comparisons operators: <, <=, =, <>, >=, >, and LIKE.

  • Sorting: ORDER BY, MIN(), and MAX().

  • Grouping: GROUP BY and DISTINCT.

To determine the character set or collation of a string, you can use the CHARSET() and COLLATION() functions.

Quoted string literals are interpreted according to the current server settings. The default character set and collation are latin1 and latin1_swedish_ci:

mysql> SELECT CHARSET('abcd'), COLLATION('abcd');
| CHARSET('abcd') | COLLATION('abcd') |
| latin1          | latin1_swedish_ci |

MySQL treats hexadecimal constants as binary strings by default:

mysql> SELECT CHARSET(0x0123), COLLATION(0x123);
| CHARSET(0x0123) | COLLATION(0x123) |
| binary          | binary           |

Two forms of notation can be used to force a string literal to be interpreted with a given character set:

  • A string constant can be designated for interpretation with a given character set using the following notation, where charset is the name of a supported character set:

  • _charset str
  • The _charset notation is called a "character set introducer." The string can be written as a quoted string or as a hexadecimal value. The following examples show how to cause strings to be interpreted in the latin2 and utf8 character sets:

  • _latin2 'abc'
    _latin2 0x616263
    _latin2 X'616263'
    _utf8 'def'
    _utf8 0x646566
    _utf8 X'646566'
  • For quoted strings, whitespace is optional between the introducer and the following string. For hexadecimal values, whitespace is required.

  • The notation N'str' is equivalent to _utf8'str'. N must be followed immediately by a quoted literal string with no intervening whitespace.

Introducer notation works for literal quoted strings or hexadecimal constants, but not for string expressions or column values. However, any string or string expression can be used to produce a string in a designated character set using the CONVERT() function:

CONVERT(str USING charset);

Introducers and CONVERT() are not the same. An introducer does not change the string value; it merely modifies how the string is interpreted. CONVERT() takes a string argument and produces a new string in the desired character set. To see the difference between introducers and CONVERT(), consider the following two statements that refer to the ucs2 double-byte character set:

mysql> SET @s1 = _ucs2 'ABCD';
mysql> SET @s2 = CONVERT('ABCD' USING ucs2);

Assume that the default character set is latin1 (a single-byte character set). The first statement interprets each pair of characters in the string 'ABCD' as a single double-byte ucs2 character, resulting in a two-character ucs2 string. The second statement converts each character of the string 'ABCD' to the corresponding ucs2 character, resulting in a four-character ucs2 string.

What is the "length" of each string? It depends. If you measure with CHAR_LENGTH(), you get the length in characters. If you measure with LENGTH(), you get the length in bytes:

| CHAR_LENGTH(@s1) | LENGTH(@s1) | CHAR_LENGTH(@s2) | LENGTH(@s2) |
|                2 |           4 |                4 |           8 |

Here is a somewhat subtle point: A binary string is not the same thing as a non-binary string that has a binary collation. The binary string has no character set. It is interpreted with byte semantics and comparisons use single-byte numeric codes. A non-binary string with a binary collation has character semantics and comparisons use numeric character values that might be based on multiple bytes per character.

Here's one way to see the difference between binary and non-binary strings with regard to lettercase. Create a binary string and a non-binary string that has a binary collation, and then pass each string to the UPPER() function:

mysql> SET @s1 = BINARY 'abcd';
mysql> SET @s2 = _latin1 'abcd' COLLATE latin1_bin;
mysql> SELECT UPPER(@s1), UPPER(@s2);
| UPPER(@s1) | UPPER(@s2) |
| abcd       | ABCD       |

Why doesn't UPPER() convert the binary string to uppercase? This occurs because it has no character set, so there is no way to know which byte values correspond to uppercase or lowercase characters. To use a binary string with functions such as UPPER() and LOWER(), you must first convert it to a non-binary string:

mysql> SELECT @s1, UPPER(CONVERT(@s1 USING latin1));
| @s1  | UPPER(CONVERT(@s1 USING latin1)) |
| abcd | ABCD                             |

Character Set–Related System Variables

The server maintains several system variables that are involved in various aspects of character set support. Six of these variables refer to character sets and three refer to collations. Each of the collation variables is linked to a corresponding character set variable.

  • character_set_system indicates the character set used for storing identifiers. This is always utf8.

  • character_set_server and collation_server indicate the server's default character set and collation.

  • character_set_database and collation_database indicate the character set and collation of the default database. These are read-only and set automatically by the server whenever you select a default database. If there is no default database, they're set to the server's default character set and collation. These variables come into play when you create a table but specify no explicit character set or collation. In this case, the table defaults are taken from the database defaults.

  • The remaining variables influence how communication occurs between the client and the server:

    • character_set_client indicates the character set used for SQL statements that the client sends to the server.

    • character_set_results indicates the character set used for results that the server returns to the client. "Results" include data values and also metadata such as column names.

    • character_set_connection is used by the server. When it receives a statement string from the client, it converts the string from character_set_client to character_set_connection and works with the statement in the latter character set. (There is an exception: Any literal string in the statement that is preceded by a character set introducer is interpreted using the character set indicated by the introducer.) collation_connection is used for comparisons between literal strings within statement strings.

Very likely you'll find that most character set and collation variables are set to the same value by default. For example, the following output indicates that client/server communication takes place using the latin1 character set:

mysql> SHOW VARIABLES LIKE 'character\_set\_%';
| Variable_name            | Value  |
| character_set_client     | latin1 |
| character_set_connection | latin1 |
| character_set_database   | latin1 |
| character_set_results    | latin1 |
| character_set_server     | latin1 |
| character_set_system     | utf8   |
mysql> SHOW VARIABLES LIKE 'collation\_%';
| Variable_name        | Value             |
| collation_connection | latin1_swedish_ci |
| collation_database   | latin1_swedish_ci |
| collation_server     | latin1_swedish_ci |

A client that wants to talk to the server using another character set can change the communication-related variables. For example, if you want to use utf8, change three variables:

mysql> SET character_set_client = utf8;
mysql> SET character_set_results = utf8;
mysql> SET character_set_connection = utf8;

However, it's more convenient to use a SET NAMES statement for this purpose. The following statement is equivalent to the preceding three SET statements:

mysql> SET NAMES 'utf8';

One restriction on setting the communication character set is that you cannot use ucs2.

Many client programs support a --default-character-set option that produces the same effect as a SET NAMES statement by informing the server of the desired communication character set.

For variables that come in pairs (a character set variable and a collation variable), the members of the pair are linked in the following ways:

  • Setting the character set variable also sets the associated collation variable to the default collation for the character set.

  • Setting the collation variable also sets the associated character set variable to the character set implied by the first part of the collation name.

For example, setting character_set_connection to utf8 sets collation_connection to utf8_general_ci. Setting collation_connection to latin1_spanish_ci sets character_set_connection to latin1.

Date and Time (Temporal) Values

Dates and times are values such as '2005-06-17' or '12:30:43'. MySQL also understands combined date/time values, such as '2005-06-17 12:30:43'. Take special note of the fact that MySQL represents dates in year-month-day order. This often surprises newcomers to MySQL, although this is standard SQL format (also known as "ISO 8601" format). You can display date values any way you like using the DATE_FORMAT() function, but the default display format lists the year first, and input values must be specified with the year first.

Spatial Values

MySQL 4.1 and up supports spatial values, although currently only for MyISAM tables. This capability allows representation of values such as points, lines, and polygons. For example, the following statement uses the text representation of a point value with X and Y coordinates of (10, 20) to create a POINT and assigns the result to a user-defined variable:


The NULL Value

NULL is something of a "typeless" value. Generally, it's used to mean "no value," "unknown value," "missing value," "out of range," "not applicable," "none of the above," and so forth. You can insert NULL values into tables, retrieve them from tables, and test whether a value is NULL. However, you cannot perform arithmetic on NULL values; if you try, the result is NULL. Also, many functions return NULL if you invoke them with a NULL argument.

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information

To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.


Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.


If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information

Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.


This site is not directed to children under the age of 13.


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information

If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information

Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents

California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure

Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact

Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice

We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020