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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>14.4. Populating a Database</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 Vsnapshot" /><link rel="prev" href="explicit-joins.html" title="14.3. Controlling the Planner with Explicit JOIN Clauses" /><link rel="next" href="non-durability.html" title="14.5. Non-Durable Settings" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">14.4. Populating a Database</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="explicit-joins.html" title="14.3. Controlling the Planner with Explicit JOIN Clauses">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="performance-tips.html" title="Chapter 14. Performance Tips">Up</a></td><th width="60%" align="center">Chapter 14. Performance Tips</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 16.3 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="non-durability.html" title="14.5. Non-Durable Settings">Next</a></td></tr></table><hr /></div><div class="sect1" id="POPULATE"><div class="titlepage"><div><div><h2 class="title" style="clear: both">14.4. Populating a Database <a href="#POPULATE" class="id_link">#</a></h2></div></div></div><div class="toc"><dl class="toc"><dt><span class="sect2"><a href="populate.html#DISABLE-AUTOCOMMIT">14.4.1. Disable Autocommit</a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-COPY-FROM">14.4.2. Use <code class="command">COPY</code></a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-RM-INDEXES">14.4.3. Remove Indexes</a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-RM-FKEYS">14.4.4. Remove Foreign Key Constraints</a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-WORK-MEM">14.4.5. Increase <code class="varname">maintenance_work_mem</code></a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-MAX-WAL-SIZE">14.4.6. Increase <code class="varname">max_wal_size</code></a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-PITR">14.4.7. Disable WAL Archival and Streaming Replication</a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-ANALYZE">14.4.8. Run <code class="command">ANALYZE</code> Afterwards</a></span></dt><dt><span class="sect2"><a href="populate.html#POPULATE-PG-DUMP">14.4.9. Some Notes about <span class="application">pg_dump</span></a></span></dt></dl></div><p>
One might need to insert a large amount of data when first populating
a database. This section contains some suggestions on how to make
this process as efficient as possible.
</p><div class="sect2" id="DISABLE-AUTOCOMMIT"><div class="titlepage"><div><div><h3 class="title">14.4.1. Disable Autocommit <a href="#DISABLE-AUTOCOMMIT" class="id_link">#</a></h3></div></div></div><a id="id-1.5.13.7.3.2" class="indexterm"></a><p>
When using multiple <code class="command">INSERT</code>s, turn off autocommit and just do
one commit at the end. (In plain
SQL, this means issuing <code class="command">BEGIN</code> at the start and
<code class="command">COMMIT</code> at the end. Some client libraries might
do this behind your back, in which case you need to make sure the
library does it when you want it done.) If you allow each
insertion to be committed separately,
<span class="productname">PostgreSQL</span> is doing a lot of work for
each row that is added. An additional benefit of doing all
insertions in one transaction is that if the insertion of one row
were to fail then the insertion of all rows inserted up to that
point would be rolled back, so you won't be stuck with partially
loaded data.
</p></div><div class="sect2" id="POPULATE-COPY-FROM"><div class="titlepage"><div><div><h3 class="title">14.4.2. Use <code class="command">COPY</code> <a href="#POPULATE-COPY-FROM" class="id_link">#</a></h3></div></div></div><p>
Use <a class="link" href="sql-copy.html" title="COPY"><code class="command">COPY</code></a> to load
all the rows in one command, instead of using a series of
<code class="command">INSERT</code> commands. The <code class="command">COPY</code>
command is optimized for loading large numbers of rows; it is less
flexible than <code class="command">INSERT</code>, but incurs significantly
less overhead for large data loads. Since <code class="command">COPY</code>
is a single command, there is no need to disable autocommit if you
use this method to populate a table.
</p><p>
If you cannot use <code class="command">COPY</code>, it might help to use <a class="link" href="sql-prepare.html" title="PREPARE"><code class="command">PREPARE</code></a> to create a
prepared <code class="command">INSERT</code> statement, and then use
<code class="command">EXECUTE</code> as many times as required. This avoids
some of the overhead of repeatedly parsing and planning
<code class="command">INSERT</code>. Different interfaces provide this facility
in different ways; look for <span class="quote">“<span class="quote">prepared statements</span>”</span> in the interface
documentation.
</p><p>
Note that loading a large number of rows using
<code class="command">COPY</code> is almost always faster than using
<code class="command">INSERT</code>, even if <code class="command">PREPARE</code> is used and
multiple insertions are batched into a single transaction.
</p><p>
<code class="command">COPY</code> is fastest when used within the same
transaction as an earlier <code class="command">CREATE TABLE</code> or
<code class="command">TRUNCATE</code> command. In such cases no WAL
needs to be written, because in case of an error, the files
containing the newly loaded data will be removed anyway.
However, this consideration only applies when
<a class="xref" href="runtime-config-wal.html#GUC-WAL-LEVEL">wal_level</a> is <code class="literal">minimal</code>
as all commands must write WAL otherwise.
</p></div><div class="sect2" id="POPULATE-RM-INDEXES"><div class="titlepage"><div><div><h3 class="title">14.4.3. Remove Indexes <a href="#POPULATE-RM-INDEXES" class="id_link">#</a></h3></div></div></div><p>
If you are loading a freshly created table, the fastest method is to
create the table, bulk load the table's data using
<code class="command">COPY</code>, then create any indexes needed for the
table. Creating an index on pre-existing data is quicker than
updating it incrementally as each row is loaded.
</p><p>
If you are adding large amounts of data to an existing table,
it might be a win to drop the indexes,
load the table, and then recreate the indexes. Of course, the
database performance for other users might suffer
during the time the indexes are missing. One should also think
twice before dropping a unique index, since the error checking
afforded by the unique constraint will be lost while the index is
missing.
</p></div><div class="sect2" id="POPULATE-RM-FKEYS"><div class="titlepage"><div><div><h3 class="title">14.4.4. Remove Foreign Key Constraints <a href="#POPULATE-RM-FKEYS" class="id_link">#</a></h3></div></div></div><p>
Just as with indexes, a foreign key constraint can be checked
<span class="quote">“<span class="quote">in bulk</span>”</span> more efficiently than row-by-row. So it might be
useful to drop foreign key constraints, load data, and re-create
the constraints. Again, there is a trade-off between data load
speed and loss of error checking while the constraint is missing.
</p><p>
What's more, when you load data into a table with existing foreign key
constraints, each new row requires an entry in the server's list of
pending trigger events (since it is the firing of a trigger that checks
the row's foreign key constraint). Loading many millions of rows can
cause the trigger event queue to overflow available memory, leading to
intolerable swapping or even outright failure of the command. Therefore
it may be <span class="emphasis"><em>necessary</em></span>, not just desirable, to drop and re-apply
foreign keys when loading large amounts of data. If temporarily removing
the constraint isn't acceptable, the only other recourse may be to split
up the load operation into smaller transactions.
</p></div><div class="sect2" id="POPULATE-WORK-MEM"><div class="titlepage"><div><div><h3 class="title">14.4.5. Increase <code class="varname">maintenance_work_mem</code> <a href="#POPULATE-WORK-MEM" class="id_link">#</a></h3></div></div></div><p>
Temporarily increasing the <a class="xref" href="runtime-config-resource.html#GUC-MAINTENANCE-WORK-MEM">maintenance_work_mem</a>
configuration variable when loading large amounts of data can
lead to improved performance. This will help to speed up <code class="command">CREATE
INDEX</code> commands and <code class="command">ALTER TABLE ADD FOREIGN KEY</code> commands.
It won't do much for <code class="command">COPY</code> itself, so this advice is
only useful when you are using one or both of the above techniques.
</p></div><div class="sect2" id="POPULATE-MAX-WAL-SIZE"><div class="titlepage"><div><div><h3 class="title">14.4.6. Increase <code class="varname">max_wal_size</code> <a href="#POPULATE-MAX-WAL-SIZE" class="id_link">#</a></h3></div></div></div><p>
Temporarily increasing the <a class="xref" href="runtime-config-wal.html#GUC-MAX-WAL-SIZE">max_wal_size</a>
configuration variable can also
make large data loads faster. This is because loading a large
amount of data into <span class="productname">PostgreSQL</span> will
cause checkpoints to occur more often than the normal checkpoint
frequency (specified by the <code class="varname">checkpoint_timeout</code>
configuration variable). Whenever a checkpoint occurs, all dirty
pages must be flushed to disk. By increasing
<code class="varname">max_wal_size</code> temporarily during bulk
data loads, the number of checkpoints that are required can be
reduced.
</p></div><div class="sect2" id="POPULATE-PITR"><div class="titlepage"><div><div><h3 class="title">14.4.7. Disable WAL Archival and Streaming Replication <a href="#POPULATE-PITR" class="id_link">#</a></h3></div></div></div><p>
When loading large amounts of data into an installation that uses
WAL archiving or streaming replication, it might be faster to take a
new base backup after the load has completed than to process a large
amount of incremental WAL data. To prevent incremental WAL logging
while loading, disable archiving and streaming replication, by setting
<a class="xref" href="runtime-config-wal.html#GUC-WAL-LEVEL">wal_level</a> to <code class="literal">minimal</code>,
<a class="xref" href="runtime-config-wal.html#GUC-ARCHIVE-MODE">archive_mode</a> to <code class="literal">off</code>, and
<a class="xref" href="runtime-config-replication.html#GUC-MAX-WAL-SENDERS">max_wal_senders</a> to zero.
But note that changing these settings requires a server restart,
and makes any base backups taken before unavailable for archive
recovery and standby server, which may lead to data loss.
</p><p>
Aside from avoiding the time for the archiver or WAL sender to process the
WAL data, doing this will actually make certain commands faster, because
they do not to write WAL at all if <code class="varname">wal_level</code>
is <code class="literal">minimal</code> and the current subtransaction (or top-level
transaction) created or truncated the table or index they change. (They
can guarantee crash safety more cheaply by doing
an <code class="function">fsync</code> at the end than by writing WAL.)
</p></div><div class="sect2" id="POPULATE-ANALYZE"><div class="titlepage"><div><div><h3 class="title">14.4.8. Run <code class="command">ANALYZE</code> Afterwards <a href="#POPULATE-ANALYZE" class="id_link">#</a></h3></div></div></div><p>
Whenever you have significantly altered the distribution of data
within a table, running <a class="link" href="sql-analyze.html" title="ANALYZE"><code class="command">ANALYZE</code></a> is strongly recommended. This
includes bulk loading large amounts of data into the table. Running
<code class="command">ANALYZE</code> (or <code class="command">VACUUM ANALYZE</code>)
ensures that the planner has up-to-date statistics about the
table. With no statistics or obsolete statistics, the planner might
make poor decisions during query planning, leading to poor
performance on any tables with inaccurate or nonexistent
statistics. Note that if the autovacuum daemon is enabled, it might
run <code class="command">ANALYZE</code> automatically; see
<a class="xref" href="routine-vacuuming.html#VACUUM-FOR-STATISTICS" title="25.1.3. Updating Planner Statistics">Section 25.1.3</a>
and <a class="xref" href="routine-vacuuming.html#AUTOVACUUM" title="25.1.6. The Autovacuum Daemon">Section 25.1.6</a> for more information.
</p></div><div class="sect2" id="POPULATE-PG-DUMP"><div class="titlepage"><div><div><h3 class="title">14.4.9. Some Notes about <span class="application">pg_dump</span> <a href="#POPULATE-PG-DUMP" class="id_link">#</a></h3></div></div></div><p>
Dump scripts generated by <span class="application">pg_dump</span> automatically apply
several, but not all, of the above guidelines. To restore a
<span class="application">pg_dump</span> dump as quickly as possible, you need to
do a few extra things manually. (Note that these points apply while
<span class="emphasis"><em>restoring</em></span> a dump, not while <span class="emphasis"><em>creating</em></span> it.
The same points apply whether loading a text dump with
<span class="application">psql</span> or using <span class="application">pg_restore</span> to load
from a <span class="application">pg_dump</span> archive file.)
</p><p>
By default, <span class="application">pg_dump</span> uses <code class="command">COPY</code>, and when
it is generating a complete schema-and-data dump, it is careful to
load data before creating indexes and foreign keys. So in this case
several guidelines are handled automatically. What is left
for you to do is to:
</p><div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; "><li class="listitem"><p>
Set appropriate (i.e., larger than normal) values for
<code class="varname">maintenance_work_mem</code> and
<code class="varname">max_wal_size</code>.
</p></li><li class="listitem"><p>
If using WAL archiving or streaming replication, consider disabling
them during the restore. To do that, set <code class="varname">archive_mode</code>
to <code class="literal">off</code>,
<code class="varname">wal_level</code> to <code class="literal">minimal</code>, and
<code class="varname">max_wal_senders</code> to zero before loading the dump.
Afterwards, set them back to the right values and take a fresh
base backup.
</p></li><li class="listitem"><p>
Experiment with the parallel dump and restore modes of both
<span class="application">pg_dump</span> and <span class="application">pg_restore</span> and find the
optimal number of concurrent jobs to use. Dumping and restoring in
parallel by means of the <code class="option">-j</code> option should give you a
significantly higher performance over the serial mode.
</p></li><li class="listitem"><p>
Consider whether the whole dump should be restored as a single
transaction. To do that, pass the <code class="option">-1</code> or
<code class="option">--single-transaction</code> command-line option to
<span class="application">psql</span> or <span class="application">pg_restore</span>. When using this
mode, even the smallest of errors will rollback the entire restore,
possibly discarding many hours of processing. Depending on how
interrelated the data is, that might seem preferable to manual cleanup,
or not. <code class="command">COPY</code> commands will run fastest if you use a single
transaction and have WAL archiving turned off.
</p></li><li class="listitem"><p>
If multiple CPUs are available in the database server, consider using
<span class="application">pg_restore</span>'s <code class="option">--jobs</code> option. This
allows concurrent data loading and index creation.
</p></li><li class="listitem"><p>
Run <code class="command">ANALYZE</code> afterwards.
</p></li></ul></div><p>
</p><p>
A data-only dump will still use <code class="command">COPY</code>, but it does not
drop or recreate indexes, and it does not normally touch foreign
keys.
<a href="#ftn.id-1.5.13.7.11.4.2" class="footnote"><sup class="footnote" id="id-1.5.13.7.11.4.2">[14]</sup></a>
So when loading a data-only dump, it is up to you to drop and recreate
indexes and foreign keys if you wish to use those techniques.
It's still useful to increase <code class="varname">max_wal_size</code>
while loading the data, but don't bother increasing
<code class="varname">maintenance_work_mem</code>; rather, you'd do that while
manually recreating indexes and foreign keys afterwards.
And don't forget to <code class="command">ANALYZE</code> when you're done; see
<a class="xref" href="routine-vacuuming.html#VACUUM-FOR-STATISTICS" title="25.1.3. Updating Planner Statistics">Section 25.1.3</a>
and <a class="xref" href="routine-vacuuming.html#AUTOVACUUM" title="25.1.6. The Autovacuum Daemon">Section 25.1.6</a> for more information.
</p></div><div class="footnotes"><br /><hr style="width:100; text-align:left;margin-left: 0" /><div id="ftn.id-1.5.13.7.11.4.2" class="footnote"><p><a href="#id-1.5.13.7.11.4.2" class="para"><sup class="para">[14] </sup></a>
You can get the effect of disabling foreign keys by using
the <code class="option">--disable-triggers</code> option — but realize that
that eliminates, rather than just postpones, foreign key
validation, and so it is possible to insert bad data if you use it.
</p></div></div></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="explicit-joins.html" title="14.3. Controlling the Planner with Explicit JOIN Clauses">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="performance-tips.html" title="Chapter 14. Performance Tips">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="non-durability.html" title="14.5. Non-Durable Settings">Next</a></td></tr><tr><td width="40%" align="left" valign="top">14.3. Controlling the Planner with Explicit <code class="literal">JOIN</code> Clauses </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 16.3 Documentation">Home</a></td><td width="40%" align="right" valign="top"> 14.5. Non-Durable Settings</td></tr></table></div></body></html>