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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>13.5. Serialization Failure Handling</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="applevel-consistency.html" title="13.4. Data Consistency Checks at the Application Level" /><link rel="next" href="mvcc-caveats.html" title="13.6. Caveats" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">13.5. Serialization Failure Handling</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="applevel-consistency.html" title="13.4. Data Consistency Checks at the Application Level">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="mvcc.html" title="Chapter 13. Concurrency Control">Up</a></td><th width="60%" align="center">Chapter 13. Concurrency Control</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="mvcc-caveats.html" title="13.6. Caveats">Next</a></td></tr></table><hr /></div><div class="sect1" id="MVCC-SERIALIZATION-FAILURE-HANDLING"><div class="titlepage"><div><div><h2 class="title" style="clear: both">13.5. Serialization Failure Handling <a href="#MVCC-SERIALIZATION-FAILURE-HANDLING" class="id_link">#</a></h2></div></div></div><a id="id-1.5.12.8.2" class="indexterm"></a><a id="id-1.5.12.8.3" class="indexterm"></a><p>
    Both Repeatable Read and Serializable isolation levels can produce
    errors that are designed to prevent serialization anomalies.  As
    previously stated, applications using these levels must be prepared to
    retry transactions that fail due to serialization errors.  Such an
    error's message text will vary according to the precise circumstances,
    but it will always have the SQLSTATE code <code class="literal">40001</code>
    (<code class="literal">serialization_failure</code>).
   </p><p>
    It may also be advisable to retry deadlock failures.
    These have the SQLSTATE code <code class="literal">40P01</code>
    (<code class="literal">deadlock_detected</code>).
   </p><p>
    In some cases it is also appropriate to retry unique-key failures,
    which have SQLSTATE code <code class="literal">23505</code>
    (<code class="literal">unique_violation</code>), and exclusion constraint
    failures, which have SQLSTATE code <code class="literal">23P01</code>
    (<code class="literal">exclusion_violation</code>).  For example, if the
    application selects a new value for a primary key column after
    inspecting the currently stored keys, it could get a unique-key
    failure because another application instance selected the same new key
    concurrently.  This is effectively a serialization failure, but the
    server will not detect it as such because it cannot <span class="quote"><span class="quote">see</span></span>
    the connection between the inserted value and the previous reads.
    There are also some corner cases in which the server will issue a
    unique-key or exclusion constraint error even though in principle it
    has enough information to determine that a serialization problem
    is the underlying cause.  While it's recommendable to just
    retry <code class="literal">serialization_failure</code> errors unconditionally,
    more care is needed when retrying these other error codes, since they
    might represent persistent error conditions rather than transient
    failures.
   </p><p>
    It is important to retry the complete transaction, including all logic
    that decides which SQL to issue and/or which values to use.
    Therefore, <span class="productname">PostgreSQL</span> does not offer an
    automatic retry facility, since it cannot do so with any guarantee of
    correctness.
   </p><p>
    Transaction retry does not guarantee that the retried transaction will
    complete; multiple retries may be needed.  In cases with very high
    contention, it is possible that completion of a transaction may take
    many attempts.  In cases involving a conflicting prepared transaction,
    it may not be possible to make progress until the prepared transaction
    commits or rolls back.
   </p></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="applevel-consistency.html" title="13.4. Data Consistency Checks at the Application Level">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="mvcc.html" title="Chapter 13. Concurrency Control">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="mvcc-caveats.html" title="13.6. Caveats">Next</a></td></tr><tr><td width="40%" align="left" valign="top">13.4. Data Consistency Checks at the Application Level </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"> 13.6. Caveats</td></tr></table></div></body></html>