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<!-- $PostgreSQL: pgsql/doc/src/sgml/dml.sgml,v 1.8 2003/11/29 19:51:36 pgsql Exp $ -->
<chapter id="dml">
<title>Data Manipulation</title>
<remark>
This chapter is still quite incomplete.
</remark>
<para>
The previous chapter discussed how to create tables and other
structures to hold your data. Now it is time to fill the tables
with data. This chapter covers how to insert, update, and delete
table data. We also introduce ways to effect automatic data changes
when certain events occur: triggers and rewrite rules. The chapter
after this will finally explain how to extract your long-lost data
back out of the database.
</para>
<sect1 id="dml-insert">
<title>Inserting Data</title>
<indexterm zone="dml-insert">
<primary>inserting</primary>
</indexterm>
<indexterm zone="dml-insert">
<primary>INSERT</primary>
</indexterm>
<para>
When a table is created, it contains no data. The first thing to
do before a database can be of much use is to insert data. Data is
conceptually inserted one row at a time. Of course you can also
insert more than one row, but there is no way to insert less than
one row at a time. Even if you know only some column values, a
complete row must be created.
</para>
<para>
To create a new row, use the <literal>INSERT</literal> command.
The command requires the table name and a value for each of the
columns of the table. For example, consider the products table
from <xref linkend="ddl">:
<programlisting>
CREATE TABLE products (
product_no integer,
name text,
price numeric
);
</programlisting>
An example command to insert a row would be:
<programlisting>
INSERT INTO products VALUES (1, 'Cheese', 9.99);
</programlisting>
The data values are listed in the order in which the columns appear
in the table, separated by commas. Usually, the data values will
be literals (constants), but scalar expressions are also allowed.
</para>
<para>
The above syntax has the drawback that you need to know the order
of the columns in the table. To avoid that you can also list the
columns explicitly. For example, both of the following commands
have the same effect as the one above:
<programlisting>
INSERT INTO products (product_no, name, price) VALUES (1, 'Cheese', 9.99);
INSERT INTO products (name, price, product_no) VALUES ('Cheese', 9.99, 1);
</programlisting>
Many users consider it good practice to always list the column
names.
</para>
<para>
If you don't have values for all the columns, you can omit some of
them. In that case, the columns will be filled with their default
values. For example,
<programlisting>
INSERT INTO products (product_no, name) VALUES (1, 'Cheese');
INSERT INTO products VALUES (1, 'Cheese');
</programlisting>
The second form is a <productname>PostgreSQL</productname>
extension. It fills the columns from the left with as many values
as are given, and the rest will be defaulted.
</para>
<para>
For clarity, you can also request default values explicitly, for
individual columns or for the entire row:
<programlisting>
INSERT INTO products (product_no, name, price) VALUES (1, 'Cheese', DEFAULT);
INSERT INTO products DEFAULT VALUES;
</programlisting>
</para>
<tip>
<para>
To do <quote>bulk loads</quote>, that is, inserting a lot of data,
take a look at the <xref linkend="sql-copy"
endterm="sql-copy-title"> command. It is not as flexible as the
<command>INSERT</command> command, but is more efficient.
</para>
</tip>
</sect1>
<sect1 id="dml-update">
<title>Updating Data</title>
<indexterm zone="dml-update">
<primary>updating</primary>
</indexterm>
<indexterm zone="dml-update">
<primary>UPDATE</primary>
</indexterm>
<para>
The modification of data that is already in the database is
referred to as updating. You can update individual rows, all the
rows in a table, or a subset of all rows. Each column can be
updated separately; the other columns are not affected.
</para>
<para>
To perform an update, you need three pieces of information:
<orderedlist spacing=compact>
<listitem>
<para>The name of the table and column to update,</para>
</listitem>
<listitem>
<para>The new value of the column,</para>
</listitem>
<listitem>
<para>Which row(s) to update.</para>
</listitem>
</orderedlist>
</para>
<para>
Recall from <xref linkend="ddl"> that SQL does not, in general,
provide a unique identifier for rows. Therefore it is not
necessarily possible to directly specify which row to update.
Instead, you specify which conditions a row must meet in order to
be updated. Only if you have a primary key in the table (no matter
whether you declared it or not) can you reliably address individual rows,
by choosing a condition that matches the primary key.
Graphical database access tools rely on this fact to allow you to
update rows individually.
</para>
<para>
For example, this command updates all products that have a price of
5 to have a price of 10:
<programlisting>
UPDATE products SET price = 10 WHERE price = 5;
</programlisting>
This may cause zero, one, or many rows to be updated. It is not
an error to attempt an update that does not match any rows.
</para>
<para>
Let's look at that command in detail: First is the key word
<literal>UPDATE</literal> followed by the table name. As usual,
the table name may be schema-qualified, otherwise it is looked up
in the path. Next is the key word <literal>SET</literal> followed
by the column name, an equals sign and the new column value. The
new column value can be any scalar expression, not just a constant.
For example, if you want to raise the price of all products by 10%
you could use:
<programlisting>
UPDATE products SET price = price * 1.10;
</programlisting>
As you see, the expression for the new value can also refer to the
old value. We also left out the <literal>WHERE</literal> clause.
If it is omitted, it means that all rows in the table are updated.
If it is present, only those rows that match the condition after
the <literal>WHERE</literal> are updated. Note that the equals
sign in the <literal>SET</literal> clause is an assignment while
the one in the <literal>WHERE</literal> clause is a comparison, but
this does not create any ambiguity. Of course, the condition does
not have to be an equality test. Many other operators are
available (see <xref linkend="functions">). But the expression
needs to evaluate to a Boolean result.
</para>
<para>
You can also update more than one column in an
<literal>UPDATE</literal> command by listing more than one
assignment in the <literal>SET</literal> clause. For example:
<programlisting>
UPDATE mytable SET a = 5, b = 3, c = 1 WHERE a > 0;
</programlisting>
</para>
</sect1>
<sect1 id="dml-delete">
<title>Deleting Data</title>
<indexterm zone="dml-delete">
<primary>deleting</primary>
</indexterm>
<indexterm zone="dml-delete">
<primary>DELETE</primary>
</indexterm>
<para>
So far we have explained how to add data to tables and how to
change data. What remains is to discuss how to remove data that is
no longer needed. Just as adding data is only possible in whole
rows, you can only remove entire rows from a table. In the
previous section we discussed that SQL does not provide a way to
directly address individual rows. Therefore, removing rows can
only be done by specifying conditions that the rows to be removed
have to match. If you have a primary key in the table then you can
specify the exact row. But you can also remove groups of rows
matching a condition, or you can remove all rows in the table at
once.
</para>
<para>
You use the <literal>DELETE</literal> command to remove rows; the
syntax is very similar to the <literal>UPDATE</literal> command.
For instance, to remove all rows from the products table that have a price of 10, use
<programlisting>
DELETE FROM products WHERE price = 10;
</programlisting>
</para>
<para>
If you simply write
<programlisting>
DELETE FROM products;
</programlisting>
then all rows in the table will be deleted! Caveat programmer.
</para>
</sect1>
</chapter>
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