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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:19:15 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:19:15 +0000
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>5.1. Table Basics</title><link rel="stylesheet" type="text/css" href="stylesheet.css" /><link rev="made" href="pgsql-docs@lists.postgresql.org" /><meta name="generator" content="DocBook XSL Stylesheets V1.79.1" /><link rel="prev" href="ddl.html" title="Chapter 5. Data Definition" /><link rel="next" href="ddl-default.html" title="5.2. Default Values" /></head><body id="docContent" class="container-fluid col-10"><div xmlns="http://www.w3.org/TR/xhtml1/transitional" class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">5.1. Table Basics</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="ddl.html" title="Chapter 5. Data Definition">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="ddl.html" title="Chapter 5. Data Definition">Up</a></td><th width="60%" align="center">Chapter 5. Data Definition</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 13.4 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="ddl-default.html" title="5.2. Default Values">Next</a></td></tr></table><hr></hr></div><div class="sect1" id="DDL-BASICS"><div class="titlepage"><div><div><h2 class="title" style="clear: both">5.1. Table Basics</h2></div></div></div><a id="id-1.5.4.3.2" class="indexterm"></a><a id="id-1.5.4.3.3" class="indexterm"></a><a id="id-1.5.4.3.4" class="indexterm"></a><p>
+ A table in a relational database is much like a table on paper: It
+ consists of rows and columns. The number and order of the columns
+ is fixed, and each column has a name. The number of rows is
+ variable — it reflects how much data is stored at a given moment.
+ SQL does not make any guarantees about the order of the rows in a
+ table. When a table is read, the rows will appear in an unspecified order,
+ unless sorting is explicitly requested. This is covered in <a class="xref" href="queries.html" title="Chapter 7. Queries">Chapter 7</a>. Furthermore, SQL does not assign unique
+ identifiers to rows, so it is possible to have several completely
+ identical rows in a table. This is a consequence of the
+ mathematical model that underlies SQL but is usually not desirable.
+ Later in this chapter we will see how to deal with this issue.
+ </p><p>
+ Each column has a data type. The data type constrains the set of
+ possible values that can be assigned to a column and assigns
+ semantics to the data stored in the column so that it can be used
+ for computations. For instance, a column declared to be of a
+ numerical type will not accept arbitrary text strings, and the data
+ stored in such a column can be used for mathematical computations.
+ By contrast, a column declared to be of a character string type
+ will accept almost any kind of data but it does not lend itself to
+ mathematical calculations, although other operations such as string
+ concatenation are available.
+ </p><p>
+ <span class="productname">PostgreSQL</span> includes a sizable set of
+ built-in data types that fit many applications. Users can also
+ define their own data types. Most built-in data types have obvious
+ names and semantics, so we defer a detailed explanation to <a class="xref" href="datatype.html" title="Chapter 8. Data Types">Chapter 8</a>. Some of the frequently used data types are
+ <code class="type">integer</code> for whole numbers, <code class="type">numeric</code> for
+ possibly fractional numbers, <code class="type">text</code> for character
+ strings, <code class="type">date</code> for dates, <code class="type">time</code> for
+ time-of-day values, and <code class="type">timestamp</code> for values
+ containing both date and time.
+ </p><a id="id-1.5.4.3.8" class="indexterm"></a><p>
+ To create a table, you use the aptly named <a class="xref" href="sql-createtable.html" title="CREATE TABLE"><span class="refentrytitle">CREATE TABLE</span></a> command.
+ In this command you specify at least a name for the new table, the
+ names of the columns and the data type of each column. For
+ example:
+</p><pre class="programlisting">
+CREATE TABLE my_first_table (
+ first_column text,
+ second_column integer
+);
+</pre><p>
+ This creates a table named <code class="literal">my_first_table</code> with
+ two columns. The first column is named
+ <code class="literal">first_column</code> and has a data type of
+ <code class="type">text</code>; the second column has the name
+ <code class="literal">second_column</code> and the type <code class="type">integer</code>.
+ The table and column names follow the identifier syntax explained
+ in <a class="xref" href="sql-syntax-lexical.html#SQL-SYNTAX-IDENTIFIERS" title="4.1.1. Identifiers and Key Words">Section 4.1.1</a>. The type names are
+ usually also identifiers, but there are some exceptions. Note that the
+ column list is comma-separated and surrounded by parentheses.
+ </p><p>
+ Of course, the previous example was heavily contrived. Normally,
+ you would give names to your tables and columns that convey what
+ kind of data they store. So let's look at a more realistic
+ example:
+</p><pre class="programlisting">
+CREATE TABLE products (
+ product_no integer,
+ name text,
+ price numeric
+);
+</pre><p>
+ (The <code class="type">numeric</code> type can store fractional components, as
+ would be typical of monetary amounts.)
+ </p><div class="tip"><h3 class="title">Tip</h3><p>
+ When you create many interrelated tables it is wise to choose a
+ consistent naming pattern for the tables and columns. For
+ instance, there is a choice of using singular or plural nouns for
+ table names, both of which are favored by some theorist or other.
+ </p></div><p>
+ There is a limit on how many columns a table can contain.
+ Depending on the column types, it is between 250 and 1600.
+ However, defining a table with anywhere near this many columns is
+ highly unusual and often a questionable design.
+ </p><a id="id-1.5.4.3.13" class="indexterm"></a><p>
+ If you no longer need a table, you can remove it using the <a class="xref" href="sql-droptable.html" title="DROP TABLE"><span class="refentrytitle">DROP TABLE</span></a> command.
+ For example:
+</p><pre class="programlisting">
+DROP TABLE my_first_table;
+DROP TABLE products;
+</pre><p>
+ Attempting to drop a table that does not exist is an error.
+ Nevertheless, it is common in SQL script files to unconditionally
+ try to drop each table before creating it, ignoring any error
+ messages, so that the script works whether or not the table exists.
+ (If you like, you can use the <code class="literal">DROP TABLE IF EXISTS</code> variant
+ to avoid the error messages, but this is not standard SQL.)
+ </p><p>
+ If you need to modify a table that already exists, see <a class="xref" href="ddl-alter.html" title="5.6. Modifying Tables">Section 5.6</a> later in this chapter.
+ </p><p>
+ With the tools discussed so far you can create fully functional
+ tables. The remainder of this chapter is concerned with adding
+ features to the table definition to ensure data integrity,
+ security, or convenience. If you are eager to fill your tables with
+ data now you can skip ahead to <a class="xref" href="dml.html" title="Chapter 6. Data Manipulation">Chapter 6</a> and read the
+ rest of this chapter later.
+ </p></div><div xmlns="http://www.w3.org/TR/xhtml1/transitional" class="navfooter"><hr></hr><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="ddl.html" title="Chapter 5. Data Definition">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="ddl.html" title="Chapter 5. Data Definition">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="ddl-default.html" title="5.2. Default Values">Next</a></td></tr><tr><td width="40%" align="left" valign="top">Chapter 5. Data Definition </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 13.4 Documentation">Home</a></td><td width="40%" align="right" valign="top"> 5.2. Default Values</td></tr></table></div></body></html> \ No newline at end of file