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📁 PostgreSQL7.4.6 for Linux
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<!-- $Header: /cvsroot/pgsql/doc/src/sgml/dml.sgml,v 1.6 2003/08/31 17:32:18 petere Exp $ --><chapter id="dml"> <title>Data Manipulation</title> <comment>  This chapter is still quite incomplete. </comment> <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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