Received: from malur.postgresql.org ([2a02:16a8:dc51::56]) by arkaria.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA384:256) (Exim 4.89) (envelope-from ) id 1fdB3R-0008BY-QD for pgsql-docs@arkaria.postgresql.org; Wed, 11 Jul 2018 09:04:58 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.89) (envelope-from ) id 1fdB3Q-0003JN-9d for pgsql-docs@arkaria.postgresql.org; Wed, 11 Jul 2018 09:04:56 +0000 Received: from makus.postgresql.org ([2001:4800:1501:1::229]) by malur.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA384:256) (Exim 4.89) (envelope-from ) id 1fdB3P-0003JG-5v for pgsql-docs@lists.postgresql.org; Wed, 11 Jul 2018 09:04:56 +0000 Received: from mout.kundenserver.de ([212.227.126.134]) by makus.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA1:256) (Exim 4.89) (envelope-from ) id 1fdB3H-0005XR-0E for pgsql-docs@lists.postgresql.org; Wed, 11 Jul 2018 09:04:53 +0000 Received: from [192.168.178.23] ([89.14.153.221]) by mrelayeu.kundenserver.de (mreue002 [212.227.15.167]) with ESMTPSA (Nemesis) id 0McMoZ-1fKgzl0ddv-00Ja8U for ; Wed, 11 Jul 2018 11:04:42 +0200 Subject: Re: Images in the official documentation To: pgsql-docs@lists.postgresql.org References: <20180227151914.2xtoygrwlm357fqo@alvherre.pgsql> From: =?UTF-8?Q?J=c3=bcrgen_Purtz?= Message-ID: <4ea1bacb-02ca-e967-31d7-d2a6db30abff@purtz.de> Date: Wed, 11 Jul 2018 11:07:29 +0200 User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Thunderbird/52.8.0 MIME-Version: 1.0 In-Reply-To: <20180227151914.2xtoygrwlm357fqo@alvherre.pgsql> Content-Type: multipart/mixed; boundary="------------52251E69A1893939FFE5C7D0" Content-Language: en-GB X-Provags-ID: V03:K1:5F0l5Rq453WiQQGn+Y5RmrmQC8THmfjf1Ns0uKggIG5iMCTd9HE wwKwwSVg8GVV4kRFRG8eH3kS3f4dKR/IkjLQvSwyWMCs4pznbpWE1RIzn+76zFTc3KKlLyy T6CjPSp8qJzQiLDQiqQerXKgDGbgK7k7jmj7DuIPueDmnR+ZEdITBSka5thW1cyA+dwoQiU c7JtB0SRnSciFhK+CAzCg== X-UI-Out-Filterresults: notjunk:1;V01:K0:x2sLg5ZPL2E=:v6p9YgtKg0zOx19SUgKMqd CmELOV5LkBSLg9dARpbNzVPKt6zCW6Y5NR61nNMimh+MpfMbSnBd0rbpygQtAWWZwrduVZrMv jMdsH657zSj9q6uTobzsLQkUOFf04wUl8S4+y2eHjE2fNk42xAfCZB6jXYqz0sJLkq3PIOLv1 uTIcAhcejoo21BXV4DIG8UNTii0qUBrMngNAhToURQSHBmo9C6BLNy5gF8NmW+ZREIDSprHO4 XgOJLMZSemZBXJIviNwUyJtsWlkSlFzLklbJMgQgwQGNt6ZQen3bSSZ/mHeIDlrOVq8pK2O+M wMgd62lJcDetEZsDm6iAujnhvEM3JDgTBTS60wG5Cpl2xfSCt9ZyFr8aLqr75gUO2T0t+xvtn 2WDtcpLu8gQm+qbMcX/vMrjYm7SLGbU5Fe6vRu9jvt+pWoT/VOFrCiFDV6AdpKdTAwkBBaPf8 /SuVWuyJjAIyO7P5SLSJwYX95ozlcz6q/r94ohjFsEMNThVN/Dq/OpJ+cyLp2+7elJbsBD89r YQRuKF9rNIzlvBX1SWjjOThFNMKp+rN8IbIL0S4JbeOrzuXmWHMOjomyV+8c/HoHO73s7jzFv jcqcTaazXV2mNVJcbFc5eHiNb9Hr33a+xy+jAtvTLAOkS3BS3wVJ2yxMvqembqogyxvLqQoVu PNkw/cZaqLROhoG5+BRmvh7IoyG3uXo3Rx6nJfsvqaIFZEw== List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Precedence: bulk This is a multi-part message in MIME format. --------------52251E69A1893939FFE5C7D0 Content-Type: multipart/alternative; boundary="------------889BE053B3E110D4E8CC14E4" --------------889BE053B3E110D4E8CC14E4 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 8bit Our discussion about grafics in the documentation reached to the conclusion that we shall use SVG, the importance to 'diff-ability' is rated differently, and there is no consensus about tools. To push the issue forward I modify my original proposal to use plain svg files in a standard editor as follows: * We define a 'Simplified SVG format' (SSVG) * We create libraries where complex elements are predefined and can be referenced * We write the source in ssvg-format * A compiler (written in bison or xslt) converts ssvg-files to svg-files * We extend the sgml-files to include the svg-files * The ssvg and svg-files are located in a new svg directory, Makefile copies them to sgml and html directory * A proof-of-concept is performed in 11beta2 for HTML and PDF generation. * The ssvg-format may be XML (as used in the examples), JSON, C-style function calls PRO: * SVG 1.x has many restrictions and SVG 2.x does not make progress in the last years. Tools and Browsers support different ranges of the specification. The planned compiler cuts everything down to the basic language level, where a broad support is possible. * Predefinded elements and default values reduce the ssvg file to a small and clear source file. * You can embed original svg commands into ssvg files. * When you use an editor and a browser in parallel, you get the visual result with few clicks. * Everything is diff-able. * The Makefile needs only slightly amendments: additional cp commands and some target-dependencies. We need no new tool. CON: * The development is done in a non-wysiwyg editor and without mouse. * You have to count pixel. Example: PageLayout.ssvg: written in the new language PageLayout.svg: the generated svg file (actually by hand, the compiler is not yet implemented) storage.sgml: an additional paragraph to refer to the svg-file                                 PageLayoutHtml.png: the HTML result PageLayoutPdf.png: the PDF result A second example: pgDump.svg within backup.sgml Kind regards, Jürgen Purtz --------------889BE053B3E110D4E8CC14E4 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: 8bit

Our discussion about grafics in the documentation reached to the conclusion that we shall use SVG, the importance to 'diff-ability' is rated differently, and there is no consensus about tools.

To push the issue forward I modify my original proposal to use plain svg files in a standard editor as follows:

  • We define a 'Simplified SVG format' (SSVG)
  • We create libraries where complex elements are predefined and can be referenced
  • We write the source in ssvg-format
  • A compiler (written in bison or xslt) converts ssvg-files to svg-files
  • We extend the sgml-files to include the svg-files
  • The ssvg and svg-files are located in a new svg directory, Makefile copies them to sgml and html directory
  • A proof-of-concept is performed in 11beta2 for HTML and PDF generation.
  • The ssvg-format may be XML (as used in the examples), JSON, C-style function calls


PRO:

  • SVG 1.x has many restrictions and SVG 2.x does not make progress in the last years. Tools and Browsers support different ranges of the specification. The planned compiler cuts everything down to the basic language level, where a broad support is possible.
  • Predefinded elements and default values reduce the ssvg file to a small and clear source file.
  • You can embed original svg commands into ssvg files.
  • When you use an editor and a browser in parallel, you get the visual result with few clicks.
  • Everything is diff-able.
  • The Makefile needs only slightly amendments: additional cp commands and some target-dependencies. We need no new tool.

CON:

  • The development is done in a non-wysiwyg editor and without mouse.
  • You have to count pixel.


Example:
PageLayout.ssvg: written in the new language
PageLayout.svg: the generated svg file (actually by hand, the compiler is not yet implemented)
storage.sgml: an additional paragraph to refer to the svg-file

<para>
  <mediaobject id="PageLayoutSVG">
    <imageobject role="html">
      <imagedata fileref="PageLayout.svg" format="SVG"/>
    </imageobject>
    <imageobject role="fo">
      <imagedata fileref="PageLayout.svg" format="SVG" scalefit="1" width="100%" contentdepth="100%"/>
    </imageobject>
  </mediaobject>
</para>

PageLayoutHtml.png: the HTML result
PageLayoutPdf.png: the PDF result

A second example: pgDump.svg within backup.sgml


Kind regards, Jürgen Purtz


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/Pza2tra2lr65eHDh5XvmEwmQojRaDQajUFBQRs2bBAOCEjlADCi4JvkAAAAOoBvkgMAAOgM tm0AAADdwLYNAACgG9i2AQAAdAPbNgAAgG5g2wYAANANbNsAAAC6gW0bAABAN7BtAwAA6Aa2 bQAAAN3Atg0AAKAb2LYBAAB0A9s2AACAbmDbBgAA0A1s2wAAALqBbRsAAEA3sG0DAADoBrZt AAAA3cC2DQAAoBvYtgEAAHQD2zYAAIBuYNsGAADQjf8B1StYc973ZuEAAAAASUVORK5CYII= --------------52251E69A1893939FFE5C7D0 Content-Type: text/sgml; name="storage.sgml" Content-Transfer-Encoding: 7bit Content-Disposition: attachment; filename="storage.sgml" Database Physical Storage This chapter provides an overview of the physical storage format used by PostgreSQL databases. Database File Layout This section describes the storage format at the level of files and directories. Traditionally, the configuration and data files used by a database cluster are stored together within the cluster's data directory, commonly referred to as PGDATA (after the name of the environment variable that can be used to define it). A common location for PGDATA is /var/lib/pgsql/data. Multiple clusters, managed by different server instances, can exist on the same machine. The PGDATA directory contains several subdirectories and control files, as shown in . In addition to these required items, the cluster configuration files postgresql.conf, pg_hba.conf, and pg_ident.conf are traditionally stored in PGDATA, although it is possible to place them elsewhere. Contents of <varname>PGDATA</varname> Item Description PG_VERSION A file containing the major version number of PostgreSQL base Subdirectory containing per-database subdirectories current_logfiles File recording the log file(s) currently written to by the logging collector global Subdirectory containing cluster-wide tables, such as pg_database pg_commit_ts Subdirectory containing transaction commit timestamp data pg_dynshmem Subdirectory containing files used by the dynamic shared memory subsystem pg_logical Subdirectory containing status data for logical decoding pg_multixact Subdirectory containing multitransaction status data (used for shared row locks) pg_notify Subdirectory containing LISTEN/NOTIFY status data pg_replslot Subdirectory containing replication slot data pg_serial Subdirectory containing information about committed serializable transactions pg_snapshots Subdirectory containing exported snapshots pg_stat Subdirectory containing permanent files for the statistics subsystem pg_stat_tmp Subdirectory containing temporary files for the statistics subsystem pg_subtrans Subdirectory containing subtransaction status data pg_tblspc Subdirectory containing symbolic links to tablespaces pg_twophase Subdirectory containing state files for prepared transactions pg_wal Subdirectory containing WAL (Write Ahead Log) files pg_xact Subdirectory containing transaction commit status data postgresql.auto.conf A file used for storing configuration parameters that are set by ALTER SYSTEM postmaster.opts A file recording the command-line options the server was last started with postmaster.pid A lock file recording the current postmaster process ID (PID), cluster data directory path, postmaster start timestamp, port number, Unix-domain socket directory path (empty on Windows), first valid listen_address (IP address or *, or empty if not listening on TCP), and shared memory segment ID (this file is not present after server shutdown)
For each database in the cluster there is a subdirectory within PGDATA/base, named after the database's OID in pg_database. This subdirectory is the default location for the database's files; in particular, its system catalogs are stored there. Each table and index is stored in a separate file. For ordinary relations, these files are named after the table or index's filenode number, which can be found in pg_class.relfilenode. But for temporary relations, the file name is of the form tBBB_FFF, where BBB is the backend ID of the backend which created the file, and FFF is the filenode number. In either case, in addition to the main file (a/k/a main fork), each table and index has a free space map (see ), which stores information about free space available in the relation. The free space map is stored in a file named with the filenode number plus the suffix _fsm. Tables also have a visibility map, stored in a fork with the suffix _vm, to track which pages are known to have no dead tuples. The visibility map is described further in . Unlogged tables and indexes have a third fork, known as the initialization fork, which is stored in a fork with the suffix _init (see ). Note that while a table's filenode often matches its OID, this is not necessarily the case; some operations, like TRUNCATE, REINDEX, CLUSTER and some forms of ALTER TABLE, can change the filenode while preserving the OID. Avoid assuming that filenode and table OID are the same. Also, for certain system catalogs including pg_class itself, pg_class.relfilenode contains zero. The actual filenode number of these catalogs is stored in a lower-level data structure, and can be obtained using the pg_relation_filenode() function. When a table or index exceeds 1 GB, it is divided into gigabyte-sized segments. The first segment's file name is the same as the filenode; subsequent segments are named filenode.1, filenode.2, etc. This arrangement avoids problems on platforms that have file size limitations. (Actually, 1 GB is just the default segment size. The segment size can be adjusted using the configuration option when building PostgreSQL.) In principle, free space map and visibility map forks could require multiple segments as well, though this is unlikely to happen in practice. A table that has columns with potentially large entries will have an associated TOAST table, which is used for out-of-line storage of field values that are too large to keep in the table rows proper. pg_class.reltoastrelid links from a table to its TOAST table, if any. See for more information. The contents of tables and indexes are discussed further in . Tablespaces make the scenario more complicated. Each user-defined tablespace has a symbolic link inside the PGDATA/pg_tblspc directory, which points to the physical tablespace directory (i.e., the location specified in the tablespace's CREATE TABLESPACE command). This symbolic link is named after the tablespace's OID. Inside the physical tablespace directory there is a subdirectory with a name that depends on the PostgreSQL server version, such as PG_9.0_201008051. (The reason for using this subdirectory is so that successive versions of the database can use the same CREATE TABLESPACE location value without conflicts.) Within the version-specific subdirectory, there is a subdirectory for each database that has elements in the tablespace, named after the database's OID. Tables and indexes are stored within that directory, using the filenode naming scheme. The pg_default tablespace is not accessed through pg_tblspc, but corresponds to PGDATA/base. Similarly, the pg_global tablespace is not accessed through pg_tblspc, but corresponds to PGDATA/global. The pg_relation_filepath() function shows the entire path (relative to PGDATA) of any relation. It is often useful as a substitute for remembering many of the above rules. But keep in mind that this function just gives the name of the first segment of the main fork of the relation — you may need to append a segment number and/or _fsm, _vm, or _init to find all the files associated with the relation. Temporary files (for operations such as sorting more data than can fit in memory) are created within PGDATA/base/pgsql_tmp, or within a pgsql_tmp subdirectory of a tablespace directory if a tablespace other than pg_default is specified for them. The name of a temporary file has the form pgsql_tmpPPP.NNN, where PPP is the PID of the owning backend and NNN distinguishes different temporary files of that backend. TOAST TOAST sliced breadTOAST This section provides an overview of TOAST (The Oversized-Attribute Storage Technique). PostgreSQL uses a fixed page size (commonly 8 kB), and does not allow tuples to span multiple pages. Therefore, it is not possible to store very large field values directly. To overcome this limitation, large field values are compressed and/or broken up into multiple physical rows. This happens transparently to the user, with only small impact on most of the backend code. The technique is affectionately known as TOAST (or the best thing since sliced bread). The TOAST infrastructure is also used to improve handling of large data values in-memory. Only certain data types support TOAST — there is no need to impose the overhead on data types that cannot produce large field values. To support TOAST, a data type must have a variable-length (varlena) representation, in which, ordinarily, the first four-byte word of any stored value contains the total length of the value in bytes (including itself). TOAST does not constrain the rest of the data type's representation. The special representations collectively called TOASTed values work by modifying or reinterpreting this initial length word. Therefore, the C-level functions supporting a TOAST-able data type must be careful about how they handle potentially TOASTed input values: an input might not actually consist of a four-byte length word and contents until after it's been detoasted. (This is normally done by invoking PG_DETOAST_DATUM before doing anything with an input value, but in some cases more efficient approaches are possible. See for more detail.) TOAST usurps two bits of the varlena length word (the high-order bits on big-endian machines, the low-order bits on little-endian machines), thereby limiting the logical size of any value of a TOAST-able data type to 1 GB (230 - 1 bytes). When both bits are zero, the value is an ordinary un-TOASTed value of the data type, and the remaining bits of the length word give the total datum size (including length word) in bytes. When the highest-order or lowest-order bit is set, the value has only a single-byte header instead of the normal four-byte header, and the remaining bits of that byte give the total datum size (including length byte) in bytes. This alternative supports space-efficient storage of values shorter than 127 bytes, while still allowing the data type to grow to 1 GB at need. Values with single-byte headers aren't aligned on any particular boundary, whereas values with four-byte headers are aligned on at least a four-byte boundary; this omission of alignment padding provides additional space savings that is significant compared to short values. As a special case, if the remaining bits of a single-byte header are all zero (which would be impossible for a self-inclusive length), the value is a pointer to out-of-line data, with several possible alternatives as described below. The type and size of such a TOAST pointer are determined by a code stored in the second byte of the datum. Lastly, when the highest-order or lowest-order bit is clear but the adjacent bit is set, the content of the datum has been compressed and must be decompressed before use. In this case the remaining bits of the four-byte length word give the total size of the compressed datum, not the original data. Note that compression is also possible for out-of-line data but the varlena header does not tell whether it has occurred — the content of the TOAST pointer tells that, instead. As mentioned, there are multiple types of TOAST pointer datums. The oldest and most common type is a pointer to out-of-line data stored in a TOAST table that is separate from, but associated with, the table containing the TOAST pointer datum itself. These on-disk pointer datums are created by the TOAST management code (in access/heap/tuptoaster.c) when a tuple to be stored on disk is too large to be stored as-is. Further details appear in . Alternatively, a TOAST pointer datum can contain a pointer to out-of-line data that appears elsewhere in memory. Such datums are necessarily short-lived, and will never appear on-disk, but they are very useful for avoiding copying and redundant processing of large data values. Further details appear in . The compression technique used for either in-line or out-of-line compressed data is a fairly simple and very fast member of the LZ family of compression techniques. See src/common/pg_lzcompress.c for the details. Out-of-line, on-disk TOAST storage If any of the columns of a table are TOAST-able, the table will have an associated TOAST table, whose OID is stored in the table's pg_class.reltoastrelid entry. On-disk TOASTed values are kept in the TOAST table, as described in more detail below. Out-of-line values are divided (after compression if used) into chunks of at most TOAST_MAX_CHUNK_SIZE bytes (by default this value is chosen so that four chunk rows will fit on a page, making it about 2000 bytes). Each chunk is stored as a separate row in the TOAST table belonging to the owning table. Every TOAST table has the columns chunk_id (an OID identifying the particular TOASTed value), chunk_seq (a sequence number for the chunk within its value), and chunk_data (the actual data of the chunk). A unique index on chunk_id and chunk_seq provides fast retrieval of the values. A pointer datum representing an out-of-line on-disk TOASTed value therefore needs to store the OID of the TOAST table in which to look and the OID of the specific value (its chunk_id). For convenience, pointer datums also store the logical datum size (original uncompressed data length) and physical stored size (different if compression was applied). Allowing for the varlena header bytes, the total size of an on-disk TOAST pointer datum is therefore 18 bytes regardless of the actual size of the represented value. The TOAST management code is triggered only when a row value to be stored in a table is wider than TOAST_TUPLE_THRESHOLD bytes (normally 2 kB). The TOAST code will compress and/or move field values out-of-line until the row value is shorter than TOAST_TUPLE_TARGET bytes (also normally 2 kB, adjustable) or no more gains can be had. During an UPDATE operation, values of unchanged fields are normally preserved as-is; so an UPDATE of a row with out-of-line values incurs no TOAST costs if none of the out-of-line values change. The TOAST management code recognizes four different strategies for storing TOAST-able columns on disk: PLAIN prevents either compression or out-of-line storage; furthermore it disables use of single-byte headers for varlena types. This is the only possible strategy for columns of non-TOAST-able data types. EXTENDED allows both compression and out-of-line storage. This is the default for most TOAST-able data types. Compression will be attempted first, then out-of-line storage if the row is still too big. EXTERNAL allows out-of-line storage but not compression. Use of EXTERNAL will make substring operations on wide text and bytea columns faster (at the penalty of increased storage space) because these operations are optimized to fetch only the required parts of the out-of-line value when it is not compressed. MAIN allows compression but not out-of-line storage. (Actually, out-of-line storage will still be performed for such columns, but only as a last resort when there is no other way to make the row small enough to fit on a page.) Each TOAST-able data type specifies a default strategy for columns of that data type, but the strategy for a given table column can be altered with ALTER TABLE ... SET STORAGE. TOAST_TUPLE_TARGET can be adjusted for each table using ALTER TABLE ... SET (toast_tuple_target = N) This scheme has a number of advantages compared to a more straightforward approach such as allowing row values to span pages. Assuming that queries are usually qualified by comparisons against relatively small key values, most of the work of the executor will be done using the main row entry. The big values of TOASTed attributes will only be pulled out (if selected at all) at the time the result set is sent to the client. Thus, the main table is much smaller and more of its rows fit in the shared buffer cache than would be the case without any out-of-line storage. Sort sets shrink also, and sorts will more often be done entirely in memory. A little test showed that a table containing typical HTML pages and their URLs was stored in about half of the raw data size including the TOAST table, and that the main table contained only about 10% of the entire data (the URLs and some small HTML pages). There was no run time difference compared to an un-TOASTed comparison table, in which all the HTML pages were cut down to 7 kB to fit. Out-of-line, in-memory TOAST storage TOAST pointers can point to data that is not on disk, but is elsewhere in the memory of the current server process. Such pointers obviously cannot be long-lived, but they are nonetheless useful. There are currently two sub-cases: pointers to indirect data and pointers to expanded data. Indirect TOAST pointers simply point at a non-indirect varlena value stored somewhere in memory. This case was originally created merely as a proof of concept, but it is currently used during logical decoding to avoid possibly having to create physical tuples exceeding 1 GB (as pulling all out-of-line field values into the tuple might do). The case is of limited use since the creator of the pointer datum is entirely responsible that the referenced data survives for as long as the pointer could exist, and there is no infrastructure to help with this. Expanded TOAST pointers are useful for complex data types whose on-disk representation is not especially suited for computational purposes. As an example, the standard varlena representation of a PostgreSQL array includes dimensionality information, a nulls bitmap if there are any null elements, then the values of all the elements in order. When the element type itself is variable-length, the only way to find the N'th element is to scan through all the preceding elements. This representation is appropriate for on-disk storage because of its compactness, but for computations with the array it's much nicer to have an expanded or deconstructed representation in which all the element starting locations have been identified. The TOAST pointer mechanism supports this need by allowing a pass-by-reference Datum to point to either a standard varlena value (the on-disk representation) or a TOAST pointer that points to an expanded representation somewhere in memory. The details of this expanded representation are up to the data type, though it must have a standard header and meet the other API requirements given in src/include/utils/expandeddatum.h. C-level functions working with the data type can choose to handle either representation. Functions that do not know about the expanded representation, but simply apply PG_DETOAST_DATUM to their inputs, will automatically receive the traditional varlena representation; so support for an expanded representation can be introduced incrementally, one function at a time. TOAST pointers to expanded values are further broken down into read-write and read-only pointers. The pointed-to representation is the same either way, but a function that receives a read-write pointer is allowed to modify the referenced value in-place, whereas one that receives a read-only pointer must not; it must first create a copy if it wants to make a modified version of the value. This distinction and some associated conventions make it possible to avoid unnecessary copying of expanded values during query execution. For all types of in-memory TOAST pointer, the TOAST management code ensures that no such pointer datum can accidentally get stored on disk. In-memory TOAST pointers are automatically expanded to normal in-line varlena values before storage — and then possibly converted to on-disk TOAST pointers, if the containing tuple would otherwise be too big. Free Space Map Free Space Map FSMFree Space Map Each heap and index relation, except for hash indexes, has a Free Space Map (FSM) to keep track of available space in the relation. It's stored alongside the main relation data in a separate relation fork, named after the filenode number of the relation, plus a _fsm suffix. For example, if the filenode of a relation is 12345, the FSM is stored in a file called 12345_fsm, in the same directory as the main relation file. The Free Space Map is organized as a tree of FSM pages. The bottom level FSM pages store the free space available on each heap (or index) page, using one byte to represent each such page. The upper levels aggregate information from the lower levels. Within each FSM page is a binary tree, stored in an array with one byte per node. Each leaf node represents a heap page, or a lower level FSM page. In each non-leaf node, the higher of its children's values is stored. The maximum value in the leaf nodes is therefore stored at the root. See src/backend/storage/freespace/README for more details on how the FSM is structured, and how it's updated and searched. The module can be used to examine the information stored in free space maps. Visibility Map Visibility Map VMVisibility Map Each heap relation has a Visibility Map (VM) to keep track of which pages contain only tuples that are known to be visible to all active transactions; it also keeps track of which pages contain only frozen tuples. It's stored alongside the main relation data in a separate relation fork, named after the filenode number of the relation, plus a _vm suffix. For example, if the filenode of a relation is 12345, the VM is stored in a file called 12345_vm, in the same directory as the main relation file. Note that indexes do not have VMs. The visibility map stores two bits per heap page. The first bit, if set, indicates that the page is all-visible, or in other words that the page does not contain any tuples that need to be vacuumed. This information can also be used by index-only scans to answer queries using only the index tuple. The second bit, if set, means that all tuples on the page have been frozen. That means that even an anti-wraparound vacuum need not revisit the page. The map is conservative in the sense that we make sure that whenever a bit is set, we know the condition is true, but if a bit is not set, it might or might not be true. Visibility map bits are only set by vacuum, but are cleared by any data-modifying operations on a page. The module can be used to examine the information stored in the visibility map. The Initialization Fork Initialization Fork Each unlogged table, and each index on an unlogged table, has an initialization fork. The initialization fork is an empty table or index of the appropriate type. When an unlogged table must be reset to empty due to a crash, the initialization fork is copied over the main fork, and any other forks are erased (they will be recreated automatically as needed). Database Page Layout This section provides an overview of the page format used within PostgreSQL tables and indexes. Actually, index access methods need not use this page format. All the existing index methods do use this basic format, but the data kept on index metapages usually doesn't follow the item layout rules. Sequences and TOAST tables are formatted just like a regular table. In the following explanation, a byte is assumed to contain 8 bits. In addition, the term item refers to an individual data value that is stored on a page. In a table, an item is a row; in an index, an item is an index entry. Every table and index is stored as an array of pages of a fixed size (usually 8 kB, although a different page size can be selected when compiling the server). In a table, all the pages are logically equivalent, so a particular item (row) can be stored in any page. In indexes, the first page is generally reserved as a metapage holding control information, and there can be different types of pages within the index, depending on the index access method. shows the overall layout of a page. There are five parts to each page. Overall Page LayoutPage Layout Item Description PageHeaderData 24 bytes long. Contains general information about the page, including free space pointers. ItemIdData Array of (offset,length) pairs pointing to the actual items. 4 bytes per item. Free space The unallocated space. New item pointers are allocated from the start of this area, new items from the end. Items The actual items themselves. Special space Index access method specific data. Different methods store different data. Empty in ordinary tables.
The first 24 bytes of each page consists of a page header (PageHeaderData). Its format is detailed in . The first field tracks the most recent WAL entry related to this page. The second field contains the page checksum if are enabled. Next is a 2-byte field containing flag bits. This is followed by three 2-byte integer fields (pd_lower, pd_upper, and pd_special). These contain byte offsets from the page start to the start of unallocated space, to the end of unallocated space, and to the start of the special space. The next 2 bytes of the page header, pd_pagesize_version, store both the page size and a version indicator. Beginning with PostgreSQL 8.3 the version number is 4; PostgreSQL 8.1 and 8.2 used version number 3; PostgreSQL 8.0 used version number 2; PostgreSQL 7.3 and 7.4 used version number 1; prior releases used version number 0. (The basic page layout and header format has not changed in most of these versions, but the layout of heap row headers has.) The page size is basically only present as a cross-check; there is no support for having more than one page size in an installation. The last field is a hint that shows whether pruning the page is likely to be profitable: it tracks the oldest un-pruned XMAX on the page. PageHeaderData LayoutPageHeaderData Layout Field Type Length Description pd_lsn PageXLogRecPtr 8 bytes LSN: next byte after last byte of WAL record for last change to this page pd_checksum uint16 2 bytes Page checksum pd_flags uint16 2 bytes Flag bits pd_lower LocationIndex 2 bytes Offset to start of free space pd_upper LocationIndex 2 bytes Offset to end of free space pd_special LocationIndex 2 bytes Offset to start of special space pd_pagesize_version uint16 2 bytes Page size and layout version number information pd_prune_xid TransactionId 4 bytes Oldest unpruned XMAX on page, or zero if none
All the details can be found in src/include/storage/bufpage.h. Following the page header are item identifiers (ItemIdData), each requiring four bytes. An item identifier contains a byte-offset to the start of an item, its length in bytes, and a few attribute bits which affect its interpretation. New item identifiers are allocated as needed from the beginning of the unallocated space. The number of item identifiers present can be determined by looking at pd_lower, which is increased to allocate a new identifier. Because an item identifier is never moved until it is freed, its index can be used on a long-term basis to reference an item, even when the item itself is moved around on the page to compact free space. In fact, every pointer to an item (ItemPointer, also known as CTID) created by PostgreSQL consists of a page number and the index of an item identifier. The items themselves are stored in space allocated backwards from the end of unallocated space. The exact structure varies depending on what the table is to contain. Tables and sequences both use a structure named HeapTupleHeaderData, described below. The final section is the special section which can contain anything the access method wishes to store. For example, b-tree indexes store links to the page's left and right siblings, as well as some other data relevant to the index structure. Ordinary tables do not use a special section at all (indicated by setting pd_special to equal the page size). Table Row Layout All table rows are structured in the same way. There is a fixed-size header (occupying 23 bytes on most machines), followed by an optional null bitmap, an optional object ID field, and the user data. The header is detailed in . The actual user data (columns of the row) begins at the offset indicated by t_hoff, which must always be a multiple of the MAXALIGN distance for the platform. The null bitmap is only present if the HEAP_HASNULL bit is set in t_infomask. If it is present it begins just after the fixed header and occupies enough bytes to have one bit per data column (that is, t_natts bits altogether). In this list of bits, a 1 bit indicates not-null, a 0 bit is a null. When the bitmap is not present, all columns are assumed not-null. The object ID is only present if the HEAP_HASOID bit is set in t_infomask. If present, it appears just before the t_hoff boundary. Any padding needed to make t_hoff a MAXALIGN multiple will appear between the null bitmap and the object ID. (This in turn ensures that the object ID is suitably aligned.) HeapTupleHeaderData LayoutHeapTupleHeaderData Layout Field Type Length Description t_xmin TransactionId 4 bytes insert XID stamp t_xmax TransactionId 4 bytes delete XID stamp t_cid CommandId 4 bytes insert and/or delete CID stamp (overlays with t_xvac) t_xvac TransactionId 4 bytes XID for VACUUM operation moving a row version t_ctid ItemPointerData 6 bytes current TID of this or newer row version t_infomask2 uint16 2 bytes number of attributes, plus various flag bits t_infomask uint16 2 bytes various flag bits t_hoff uint8 1 byte offset to user data
All the details can be found in src/include/access/htup_details.h. Interpreting the actual data can only be done with information obtained from other tables, mostly pg_attribute. The key values needed to identify field locations are attlen and attalign. There is no way to directly get a particular attribute, except when there are only fixed width fields and no null values. All this trickery is wrapped up in the functions heap_getattr, fastgetattr and heap_getsysattr. To read the data you need to examine each attribute in turn. First check whether the field is NULL according to the null bitmap. If it is, go to the next. Then make sure you have the right alignment. If the field is a fixed width field, then all the bytes are simply placed. If it's a variable length field (attlen = -1) then it's a bit more complicated. All variable-length data types share the common header structure struct varlena, which includes the total length of the stored value and some flag bits. 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While the procedure is essentially simple, it is important to have a clear understanding of the underlying techniques and assumptions. There are three fundamentally different approaches to backing up PostgreSQL data: SQL dump File system level backup Continuous archiving Each has its own strengths and weaknesses; each is discussed in turn in the following sections. <acronym>SQL</acronym> Dump The idea behind this dump method is to generate a file with SQL commands that, when fed back to the server, will recreate the database in the same state as it was at the time of the dump. PostgreSQL provides the utility program for this purpose. The basic usage of this command is: pg_dump dbname > dumpfile As you see, pg_dump writes its result to the standard output. We will see below how this can be useful. While the above command creates a text file, pg_dump can create files in other formats that allow for parallelism and more fine-grained control of object restoration. pg_dump is a regular PostgreSQL client application (albeit a particularly clever one). This means that you can perform this backup procedure from any remote host that has access to the database. But remember that pg_dump does not operate with special permissions. In particular, it must have read access to all tables that you want to back up, so in order to back up the entire database you almost always have to run it as a database superuser. (If you do not have sufficient privileges to back up the entire database, you can still back up portions of the database to which you do have access using options such as or .) To specify which database server pg_dump should contact, use the command line options and . The default host is the local host or whatever your PGHOST environment variable specifies. Similarly, the default port is indicated by the PGPORT environment variable or, failing that, by the compiled-in default. (Conveniently, the server will normally have the same compiled-in default.) Like any other PostgreSQL client application, pg_dump will by default connect with the database user name that is equal to the current operating system user name. To override this, either specify the option or set the environment variable PGUSER. Remember that pg_dump connections are subject to the normal client authentication mechanisms (which are described in ). An important advantage of pg_dump over the other backup methods described later is that pg_dump's output can generally be re-loaded into newer versions of PostgreSQL, whereas file-level backups and continuous archiving are both extremely server-version-specific. pg_dump is also the only method that will work when transferring a database to a different machine architecture, such as going from a 32-bit to a 64-bit server. Dumps created by pg_dump are internally consistent, meaning, the dump represents a snapshot of the database at the time pg_dump began running. pg_dump does not block other operations on the database while it is working. (Exceptions are those operations that need to operate with an exclusive lock, such as most forms of ALTER TABLE.) Restoring the Dump Text files created by pg_dump are intended to be read in by the psql program. The general command form to restore a dump is psql dbname < dumpfile where dumpfile is the file output by the pg_dump command. The database dbname will not be created by this command, so you must create it yourself from template0 before executing psql (e.g., with createdb -T template0 dbname). psql supports options similar to pg_dump for specifying the database server to connect to and the user name to use. See the reference page for more information. Non-text file dumps are restored using the utility. Before restoring an SQL dump, all the users who own objects or were granted permissions on objects in the dumped database must already exist. If they do not, the restore will fail to recreate the objects with the original ownership and/or permissions. (Sometimes this is what you want, but usually it is not.) By default, the psql script will continue to execute after an SQL error is encountered. You might wish to run psql with the ON_ERROR_STOP variable set to alter that behavior and have psql exit with an exit status of 3 if an SQL error occurs: psql --set ON_ERROR_STOP=on dbname < dumpfile Either way, you will only have a partially restored database. Alternatively, you can specify that the whole dump should be restored as a single transaction, so the restore is either fully completed or fully rolled back. This mode can be specified by passing the or command-line options to psql. When using this mode, be aware that even a minor error can rollback a restore that has already run for many hours. However, that might still be preferable to manually cleaning up a complex database after a partially restored dump. The ability of pg_dump and psql to write to or read from pipes makes it possible to dump a database directly from one server to another, for example: pg_dump -h host1 dbname | psql -h host2 dbname The dumps produced by pg_dump are relative to template0. This means that any languages, procedures, etc. added via template1 will also be dumped by pg_dump. As a result, when restoring, if you are using a customized template1, you must create the empty database from template0, as in the example above. After restoring a backup, it is wise to run on each database so the query optimizer has useful statistics; see and for more information. For more advice on how to load large amounts of data into PostgreSQL efficiently, refer to . Using <application>pg_dumpall</application> pg_dump dumps only a single database at a time, and it does not dump information about roles or tablespaces (because those are cluster-wide rather than per-database). To support convenient dumping of the entire contents of a database cluster, the program is provided. pg_dumpall backs up each database in a given cluster, and also preserves cluster-wide data such as role and tablespace definitions. The basic usage of this command is: pg_dumpall > dumpfile The resulting dump can be restored with psql: psql -f dumpfile postgres (Actually, you can specify any existing database name to start from, but if you are loading into an empty cluster then postgres should usually be used.) It is always necessary to have database superuser access when restoring a pg_dumpall dump, as that is required to restore the role and tablespace information. If you use tablespaces, make sure that the tablespace paths in the dump are appropriate for the new installation. pg_dumpall works by emitting commands to re-create roles, tablespaces, and empty databases, then invoking pg_dump for each database. This means that while each database will be internally consistent, the snapshots of different databases are not synchronized. Cluster-wide data can be dumped alone using the pg_dumpall option. This is necessary to fully backup the cluster if running the pg_dump command on individual databases. Handling Large Databases Some operating systems have maximum file size limits that cause problems when creating large pg_dump output files. Fortunately, pg_dump can write to the standard output, so you can use standard Unix tools to work around this potential problem. There are several possible methods: Use compressed dumps. You can use your favorite compression program, for example gzip: pg_dump dbname | gzip > filename.gz Reload with: gunzip -c filename.gz | psql dbname or: cat filename.gz | gunzip | psql dbname Use <command>split</command>. The split command allows you to split the output into smaller files that are acceptable in size to the underlying file system. For example, to make chunks of 1 megabyte: pg_dump dbname | split -b 1m - filename Reload with: cat filename* | psql dbname Use <application>pg_dump</application>'s custom dump format. If PostgreSQL was built on a system with the zlib compression library installed, the custom dump format will compress data as it writes it to the output file. This will produce dump file sizes similar to using gzip, but it has the added advantage that tables can be restored selectively. The following command dumps a database using the custom dump format: pg_dump -Fc dbname > filename A custom-format dump is not a script for psql, but instead must be restored with pg_restore, for example: pg_restore -d dbname filename See the and reference pages for details. For very large databases, you might need to combine split with one of the other two approaches. Use <application>pg_dump</application>'s parallel dump feature. To speed up the dump of a large database, you can use pg_dump's parallel mode. This will dump multiple tables at the same time. You can control the degree of parallelism with the -j parameter. Parallel dumps are only supported for the "directory" archive format. pg_dump -j num -F d -f out.dir dbname You can use pg_restore -j to restore a dump in parallel. This will work for any archive of either the "custom" or the "directory" archive mode, whether or not it has been created with pg_dump -j. File System Level Backup An alternative backup strategy is to directly copy the files that PostgreSQL uses to store the data in the database; explains where these files are located. You can use whatever method you prefer for doing file system backups; for example: tar -cf backup.tar /usr/local/pgsql/data There are two restrictions, however, which make this method impractical, or at least inferior to the pg_dump method: The database server must be shut down in order to get a usable backup. Half-way measures such as disallowing all connections will not work (in part because tar and similar tools do not take an atomic snapshot of the state of the file system, but also because of internal buffering within the server). Information about stopping the server can be found in . Needless to say, you also need to shut down the server before restoring the data. If you have dug into the details of the file system layout of the database, you might be tempted to try to back up or restore only certain individual tables or databases from their respective files or directories. This will not work because the information contained in these files is not usable without the commit log files, pg_xact/*, which contain the commit status of all transactions. A table file is only usable with this information. Of course it is also impossible to restore only a table and the associated pg_xact data because that would render all other tables in the database cluster useless. So file system backups only work for complete backup and restoration of an entire database cluster. An alternative file-system backup approach is to make a consistent snapshot of the data directory, if the file system supports that functionality (and you are willing to trust that it is implemented correctly). The typical procedure is to make a frozen snapshot of the volume containing the database, then copy the whole data directory (not just parts, see above) from the snapshot to a backup device, then release the frozen snapshot. This will work even while the database server is running. However, a backup created in this way saves the database files in a state as if the database server was not properly shut down; therefore, when you start the database server on the backed-up data, it will think the previous server instance crashed and will replay the WAL log. This is not a problem; just be aware of it (and be sure to include the WAL files in your backup). You can perform a CHECKPOINT before taking the snapshot to reduce recovery time. If your database is spread across multiple file systems, there might not be any way to obtain exactly-simultaneous frozen snapshots of all the volumes. For example, if your data files and WAL log are on different disks, or if tablespaces are on different file systems, it might not be possible to use snapshot backup because the snapshots must be simultaneous. Read your file system documentation very carefully before trusting the consistent-snapshot technique in such situations. If simultaneous snapshots are not possible, one option is to shut down the database server long enough to establish all the frozen snapshots. Another option is to perform a continuous archiving base backup () because such backups are immune to file system changes during the backup. This requires enabling continuous archiving just during the backup process; restore is done using continuous archive recovery (). Another option is to use rsync to perform a file system backup. This is done by first running rsync while the database server is running, then shutting down the database server long enough to do an rsync --checksum. ( is necessary because rsync only has file modification-time granularity of one second.) The second rsync will be quicker than the first, because it has relatively little data to transfer, and the end result will be consistent because the server was down. This method allows a file system backup to be performed with minimal downtime. Note that a file system backup will typically be larger than an SQL dump. (pg_dump does not need to dump the contents of indexes for example, just the commands to recreate them.) However, taking a file system backup might be faster. Continuous Archiving and Point-in-Time Recovery (PITR) continuous archiving point-in-time recovery PITR At all times, PostgreSQL maintains a write ahead log (WAL) in the pg_wal/ subdirectory of the cluster's data directory. The log records every change made to the database's data files. This log exists primarily for crash-safety purposes: if the system crashes, the database can be restored to consistency by replaying the log entries made since the last checkpoint. However, the existence of the log makes it possible to use a third strategy for backing up databases: we can combine a file-system-level backup with backup of the WAL files. If recovery is needed, we restore the file system backup and then replay from the backed-up WAL files to bring the system to a current state. This approach is more complex to administer than either of the previous approaches, but it has some significant benefits: We do not need a perfectly consistent file system backup as the starting point. Any internal inconsistency in the backup will be corrected by log replay (this is not significantly different from what happens during crash recovery). So we do not need a file system snapshot capability, just tar or a similar archiving tool. Since we can combine an indefinitely long sequence of WAL files for replay, continuous backup can be achieved simply by continuing to archive the WAL files. This is particularly valuable for large databases, where it might not be convenient to take a full backup frequently. It is not necessary to replay the WAL entries all the way to the end. We could stop the replay at any point and have a consistent snapshot of the database as it was at that time. Thus, this technique supports point-in-time recovery: it is possible to restore the database to its state at any time since your base backup was taken. If we continuously feed the series of WAL files to another machine that has been loaded with the same base backup file, we have a warm standby system: at any point we can bring up the second machine and it will have a nearly-current copy of the database. pg_dump and pg_dumpall do not produce file-system-level backups and cannot be used as part of a continuous-archiving solution. Such dumps are logical and do not contain enough information to be used by WAL replay. As with the plain file-system-backup technique, this method can only support restoration of an entire database cluster, not a subset. Also, it requires a lot of archival storage: the base backup might be bulky, and a busy system will generate many megabytes of WAL traffic that have to be archived. Still, it is the preferred backup technique in many situations where high reliability is needed. To recover successfully using continuous archiving (also called online backup by many database vendors), you need a continuous sequence of archived WAL files that extends back at least as far as the start time of your backup. So to get started, you should set up and test your procedure for archiving WAL files before you take your first base backup. Accordingly, we first discuss the mechanics of archiving WAL files. Setting Up WAL Archiving In an abstract sense, a running PostgreSQL system produces an indefinitely long sequence of WAL records. The system physically divides this sequence into WAL segment files, which are normally 16MB apiece (although the segment size can be altered during initdb). The segment files are given numeric names that reflect their position in the abstract WAL sequence. When not using WAL archiving, the system normally creates just a few segment files and then recycles them by renaming no-longer-needed segment files to higher segment numbers. It's assumed that segment files whose contents precede the last checkpoint are no longer of interest and can be recycled. When archiving WAL data, we need to capture the contents of each segment file once it is filled, and save that data somewhere before the segment file is recycled for reuse. Depending on the application and the available hardware, there could be many different ways of saving the data somewhere: we could copy the segment files to an NFS-mounted directory on another machine, write them onto a tape drive (ensuring that you have a way of identifying the original name of each file), or batch them together and burn them onto CDs, or something else entirely. To provide the database administrator with flexibility, PostgreSQL tries not to make any assumptions about how the archiving will be done. Instead, PostgreSQL lets the administrator specify a shell command to be executed to copy a completed segment file to wherever it needs to go. The command could be as simple as a cp, or it could invoke a complex shell script — it's all up to you. To enable WAL archiving, set the configuration parameter to replica or higher, to on, and specify the shell command to use in the configuration parameter. In practice these settings will always be placed in the postgresql.conf file. In archive_command, %p is replaced by the path name of the file to archive, while %f is replaced by only the file name. (The path name is relative to the current working directory, i.e., the cluster's data directory.) Use %% if you need to embed an actual % character in the command. The simplest useful command is something like: archive_command = 'test ! -f /mnt/server/archivedir/%f && cp %p /mnt/server/archivedir/%f' # Unix archive_command = 'copy "%p" "C:\\server\\archivedir\\%f"' # Windows which will copy archivable WAL segments to the directory /mnt/server/archivedir. (This is an example, not a recommendation, and might not work on all platforms.) After the %p and %f parameters have been replaced, the actual command executed might look like this: test ! -f /mnt/server/archivedir/00000001000000A900000065 && cp pg_wal/00000001000000A900000065 /mnt/server/archivedir/00000001000000A900000065 A similar command will be generated for each new file to be archived. The archive command will be executed under the ownership of the same user that the PostgreSQL server is running as. Since the series of WAL files being archived contains effectively everything in your database, you will want to be sure that the archived data is protected from prying eyes; for example, archive into a directory that does not have group or world read access. It is important that the archive command return zero exit status if and only if it succeeds. Upon getting a zero result, PostgreSQL will assume that the file has been successfully archived, and will remove or recycle it. However, a nonzero status tells PostgreSQL that the file was not archived; it will try again periodically until it succeeds. The archive command should generally be designed to refuse to overwrite any pre-existing archive file. This is an important safety feature to preserve the integrity of your archive in case of administrator error (such as sending the output of two different servers to the same archive directory). It is advisable to test your proposed archive command to ensure that it indeed does not overwrite an existing file, and that it returns nonzero status in this case. The example command above for Unix ensures this by including a separate test step. On some Unix platforms, cp has switches such as that can be used to do the same thing less verbosely, but you should not rely on these without verifying that the right exit status is returned. (In particular, GNU cp will return status zero when is used and the target file already exists, which is not the desired behavior.) While designing your archiving setup, consider what will happen if the archive command fails repeatedly because some aspect requires operator intervention or the archive runs out of space. For example, this could occur if you write to tape without an autochanger; when the tape fills, nothing further can be archived until the tape is swapped. You should ensure that any error condition or request to a human operator is reported appropriately so that the situation can be resolved reasonably quickly. The pg_wal/ directory will continue to fill with WAL segment files until the situation is resolved. (If the file system containing pg_wal/ fills up, PostgreSQL will do a PANIC shutdown. No committed transactions will be lost, but the database will remain offline until you free some space.) The speed of the archiving command is unimportant as long as it can keep up with the average rate at which your server generates WAL data. Normal operation continues even if the archiving process falls a little behind. If archiving falls significantly behind, this will increase the amount of data that would be lost in the event of a disaster. It will also mean that the pg_wal/ directory will contain large numbers of not-yet-archived segment files, which could eventually exceed available disk space. You are advised to monitor the archiving process to ensure that it is working as you intend. In writing your archive command, you should assume that the file names to be archived can be up to 64 characters long and can contain any combination of ASCII letters, digits, and dots. It is not necessary to preserve the original relative path (%p) but it is necessary to preserve the file name (%f). Note that although WAL archiving will allow you to restore any modifications made to the data in your PostgreSQL database, it will not restore changes made to configuration files (that is, postgresql.conf, pg_hba.conf and pg_ident.conf), since those are edited manually rather than through SQL operations. You might wish to keep the configuration files in a location that will be backed up by your regular file system backup procedures. See for how to relocate the configuration files. The archive command is only invoked on completed WAL segments. Hence, if your server generates only little WAL traffic (or has slack periods where it does so), there could be a long delay between the completion of a transaction and its safe recording in archive storage. To put a limit on how old unarchived data can be, you can set to force the server to switch to a new WAL segment file at least that often. Note that archived files that are archived early due to a forced switch are still the same length as completely full files. It is therefore unwise to set a very short archive_timeout — it will bloat your archive storage. archive_timeout settings of a minute or so are usually reasonable. Also, you can force a segment switch manually with pg_switch_wal if you want to ensure that a just-finished transaction is archived as soon as possible. Other utility functions related to WAL management are listed in . When wal_level is minimal some SQL commands are optimized to avoid WAL logging, as described in . If archiving or streaming replication were turned on during execution of one of these statements, WAL would not contain enough information for archive recovery. (Crash recovery is unaffected.) For this reason, wal_level can only be changed at server start. However, archive_command can be changed with a configuration file reload. If you wish to temporarily stop archiving, one way to do it is to set archive_command to the empty string (''). This will cause WAL files to accumulate in pg_wal/ until a working archive_command is re-established. Making a Base Backup The easiest way to perform a base backup is to use the tool. It can create a base backup either as regular files or as a tar archive. If more flexibility than can provide is required, you can also make a base backup using the low level API (see ). It is not necessary to be concerned about the amount of time it takes to make a base backup. However, if you normally run the server with full_page_writes disabled, you might notice a drop in performance while the backup runs since full_page_writes is effectively forced on during backup mode. To make use of the backup, you will need to keep all the WAL segment files generated during and after the file system backup. To aid you in doing this, the base backup process creates a backup history file that is immediately stored into the WAL archive area. This file is named after the first WAL segment file that you need for the file system backup. For example, if the starting WAL file is 0000000100001234000055CD the backup history file will be named something like 0000000100001234000055CD.007C9330.backup. (The second part of the file name stands for an exact position within the WAL file, and can ordinarily be ignored.) Once you have safely archived the file system backup and the WAL segment files used during the backup (as specified in the backup history file), all archived WAL segments with names numerically less are no longer needed to recover the file system backup and can be deleted. However, you should consider keeping several backup sets to be absolutely certain that you can recover your data. The backup history file is just a small text file. It contains the label string you gave to , as well as the starting and ending times and WAL segments of the backup. If you used the label to identify the associated dump file, then the archived history file is enough to tell you which dump file to restore. Since you have to keep around all the archived WAL files back to your last base backup, the interval between base backups should usually be chosen based on how much storage you want to expend on archived WAL files. You should also consider how long you are prepared to spend recovering, if recovery should be necessary — the system will have to replay all those WAL segments, and that could take awhile if it has been a long time since the last base backup. Making a Base Backup Using the Low Level API The procedure for making a base backup using the low level APIs contains a few more steps than the method, but is relatively simple. It is very important that these steps are executed in sequence, and that the success of a step is verified before proceeding to the next step. Low level base backups can be made in a non-exclusive or an exclusive way. The non-exclusive method is recommended and the exclusive one is deprecated and will eventually be removed. Making a non-exclusive low level backup A non-exclusive low level backup is one that allows other concurrent backups to be running (both those started using the same backup API and those started using ). Ensure that WAL archiving is enabled and working. Connect to the server (it does not matter which database) as a user with rights to run pg_start_backup (superuser, or a user who has been granted EXECUTE on the function) and issue the command: SELECT pg_start_backup('label', false, false); where label is any string you want to use to uniquely identify this backup operation. The connection calling pg_start_backup must be maintained until the end of the backup, or the backup will be automatically aborted. By default, pg_start_backup can take a long time to finish. This is because it performs a checkpoint, and the I/O required for the checkpoint will be spread out over a significant period of time, by default half your inter-checkpoint interval (see the configuration parameter ). This is usually what you want, because it minimizes the impact on query processing. If you want to start the backup as soon as possible, change the second parameter to true, which will issue an immediate checkpoint using as much I/O as available. The third parameter being false tells pg_start_backup to initiate a non-exclusive base backup. Perform the backup, using any convenient file-system-backup tool such as tar or cpio (not pg_dump or pg_dumpall). It is neither necessary nor desirable to stop normal operation of the database while you do this. See for things to consider during this backup. In the same connection as before, issue the command: SELECT * FROM pg_stop_backup(false, true); This terminates backup mode. On a primary, it also performs an automatic switch to the next WAL segment. On a standby, it is not possible to automatically switch WAL segments, so you may wish to run pg_switch_wal on the primary to perform a manual switch. The reason for the switch is to arrange for the last WAL segment file written during the backup interval to be ready to archive. The pg_stop_backup will return one row with three values. The second of these fields should be written to a file named backup_label in the root directory of the backup. The third field should be written to a file named tablespace_map unless the field is empty. These files are vital to the backup working, and must be written without modification. Once the WAL segment files active during the backup are archived, you are done. The file identified by pg_stop_backup's first return value is the last segment that is required to form a complete set of backup files. On a primary, if archive_mode is enabled and the wait_for_archive parameter is true, pg_stop_backup does not return until the last segment has been archived. On a standby, archive_mode must be always in order for pg_stop_backup to wait. Archiving of these files happens automatically since you have already configured archive_command. In most cases this happens quickly, but you are advised to monitor your archive system to ensure there are no delays. If the archive process has fallen behind because of failures of the archive command, it will keep retrying until the archive succeeds and the backup is complete. If you wish to place a time limit on the execution of pg_stop_backup, set an appropriate statement_timeout value, but make note that if pg_stop_backup terminates because of this your backup may not be valid. If the backup process monitors and ensures that all WAL segment files required for the backup are successfully archived then the wait_for_archive parameter (which defaults to true) can be set to false to have pg_stop_backup return as soon as the stop backup record is written to the WAL. By default, pg_stop_backup will wait until all WAL has been archived, which can take some time. This option must be used with caution: if WAL archiving is not monitored correctly then the backup might not include all of the WAL files and will therefore be incomplete and not able to be restored. Making an exclusive low level backup The process for an exclusive backup is mostly the same as for a non-exclusive one, but it differs in a few key steps. This type of backup can only be taken on a primary and does not allow concurrent backups. Prior to PostgreSQL 9.6, this was the only low-level method available, but it is now recommended that all users upgrade their scripts to use non-exclusive backups if possible. Ensure that WAL archiving is enabled and working. Connect to the server (it does not matter which database) as a user with rights to run pg_start_backup (superuser, or a user who has been granted EXECUTE on the function) and issue the command: SELECT pg_start_backup('label'); where label is any string you want to use to uniquely identify this backup operation. pg_start_backup creates a backup label file, called backup_label, in the cluster directory with information about your backup, including the start time and label string. The function also creates a tablespace map file, called tablespace_map, in the cluster directory with information about tablespace symbolic links in pg_tblspc/ if one or more such link is present. Both files are critical to the integrity of the backup, should you need to restore from it. By default, pg_start_backup can take a long time to finish. This is because it performs a checkpoint, and the I/O required for the checkpoint will be spread out over a significant period of time, by default half your inter-checkpoint interval (see the configuration parameter ). This is usually what you want, because it minimizes the impact on query processing. If you want to start the backup as soon as possible, use: SELECT pg_start_backup('label', true); This forces the checkpoint to be done as quickly as possible. Perform the backup, using any convenient file-system-backup tool such as tar or cpio (not pg_dump or pg_dumpall). It is neither necessary nor desirable to stop normal operation of the database while you do this. See for things to consider during this backup. Note that if the server crashes during the backup it may not be possible to restart until the backup_label file has been manually deleted from the PGDATA directory. Again connect to the database as a user with rights to run pg_stop_backup (superuser, or a user who has been granted EXECUTE on the function), and issue the command: SELECT pg_stop_backup(); This function terminates backup mode and performs an automatic switch to the next WAL segment. The reason for the switch is to arrange for the last WAL segment written during the backup interval to be ready to archive. Once the WAL segment files active during the backup are archived, you are done. The file identified by pg_stop_backup's result is the last segment that is required to form a complete set of backup files. If archive_mode is enabled, pg_stop_backup does not return until the last segment has been archived. Archiving of these files happens automatically since you have already configured archive_command. In most cases this happens quickly, but you are advised to monitor your archive system to ensure there are no delays. If the archive process has fallen behind because of failures of the archive command, it will keep retrying until the archive succeeds and the backup is complete. If you wish to place a time limit on the execution of pg_stop_backup, set an appropriate statement_timeout value, but make note that if pg_stop_backup terminates because of this your backup may not be valid. Backing up the data directory Some file system backup tools emit warnings or errors if the files they are trying to copy change while the copy proceeds. When taking a base backup of an active database, this situation is normal and not an error. However, you need to ensure that you can distinguish complaints of this sort from real errors. For example, some versions of rsync return a separate exit code for vanished source files, and you can write a driver script to accept this exit code as a non-error case. Also, some versions of GNU tar return an error code indistinguishable from a fatal error if a file was truncated while tar was copying it. Fortunately, GNU tar versions 1.16 and later exit with 1 if a file was changed during the backup, and 2 for other errors. With GNU tar version 1.23 and later, you can use the warning options --warning=no-file-changed --warning=no-file-removed to hide the related warning messages. Be certain that your backup includes all of the files under the database cluster directory (e.g., /usr/local/pgsql/data). If you are using tablespaces that do not reside underneath this directory, be careful to include them as well (and be sure that your backup archives symbolic links as links, otherwise the restore will corrupt your tablespaces). You should, however, omit from the backup the files within the cluster's pg_wal/ subdirectory. This slight adjustment is worthwhile because it reduces the risk of mistakes when restoring. This is easy to arrange if pg_wal/ is a symbolic link pointing to someplace outside the cluster directory, which is a common setup anyway for performance reasons. You might also want to exclude postmaster.pid and postmaster.opts, which record information about the running postmaster, not about the postmaster which will eventually use this backup. (These files can confuse pg_ctl.) It is often a good idea to also omit from the backup the files within the cluster's pg_replslot/ directory, so that replication slots that exist on the master do not become part of the backup. Otherwise, the subsequent use of the backup to create a standby may result in indefinite retention of WAL files on the standby, and possibly bloat on the master if hot standby feedback is enabled, because the clients that are using those replication slots will still be connecting to and updating the slots on the master, not the standby. Even if the backup is only intended for use in creating a new master, copying the replication slots isn't expected to be particularly useful, since the contents of those slots will likely be badly out of date by the time the new master comes on line. The contents of the directories pg_dynshmem/, pg_notify/, pg_serial/, pg_snapshots/, pg_stat_tmp/, and pg_subtrans/ (but not the directories themselves) can be omitted from the backup as they will be initialized on postmaster startup. If is set and is under the data directory then the contents of that directory can also be omitted. Any file or directory beginning with pgsql_tmp can be omitted from the backup. These files are removed on postmaster start and the directories will be recreated as needed. pg_internal.init files can be omitted from the backup whenever a file of that name is found. These files contain relation cache data that is always rebuilt when recovering. The backup label file includes the label string you gave to pg_start_backup, as well as the time at which pg_start_backup was run, and the name of the starting WAL file. In case of confusion it is therefore possible to look inside a backup file and determine exactly which backup session the dump file came from. The tablespace map file includes the symbolic link names as they exist in the directory pg_tblspc/ and the full path of each symbolic link. These files are not merely for your information; their presence and contents are critical to the proper operation of the system's recovery process. It is also possible to make a backup while the server is stopped. In this case, you obviously cannot use pg_start_backup or pg_stop_backup, and you will therefore be left to your own devices to keep track of which backup is which and how far back the associated WAL files go. It is generally better to follow the continuous archiving procedure above. Recovering Using a Continuous Archive Backup Okay, the worst has happened and you need to recover from your backup. Here is the procedure: Stop the server, if it's running. If you have the space to do so, copy the whole cluster data directory and any tablespaces to a temporary location in case you need them later. Note that this precaution will require that you have enough free space on your system to hold two copies of your existing database. If you do not have enough space, you should at least save the contents of the cluster's pg_wal subdirectory, as it might contain logs which were not archived before the system went down. Remove all existing files and subdirectories under the cluster data directory and under the root directories of any tablespaces you are using. Restore the database files from your file system backup. Be sure that they are restored with the right ownership (the database system user, not root!) and with the right permissions. If you are using tablespaces, you should verify that the symbolic links in pg_tblspc/ were correctly restored. Remove any files present in pg_wal/; these came from the file system backup and are therefore probably obsolete rather than current. If you didn't archive pg_wal/ at all, then recreate it with proper permissions, being careful to ensure that you re-establish it as a symbolic link if you had it set up that way before. If you have unarchived WAL segment files that you saved in step 2, copy them into pg_wal/. (It is best to copy them, not move them, so you still have the unmodified files if a problem occurs and you have to start over.) Create a recovery command file recovery.conf in the cluster data directory (see ). You might also want to temporarily modify pg_hba.conf to prevent ordinary users from connecting until you are sure the recovery was successful. Start the server. The server will go into recovery mode and proceed to read through the archived WAL files it needs. Should the recovery be terminated because of an external error, the server can simply be restarted and it will continue recovery. Upon completion of the recovery process, the server will rename recovery.conf to recovery.done (to prevent accidentally re-entering recovery mode later) and then commence normal database operations. Inspect the contents of the database to ensure you have recovered to the desired state. If not, return to step 1. If all is well, allow your users to connect by restoring pg_hba.conf to normal. The key part of all this is to set up a recovery configuration file that describes how you want to recover and how far the recovery should run. You can use recovery.conf.sample (normally located in the installation's share/ directory) as a prototype. The one thing that you absolutely must specify in recovery.conf is the restore_command, which tells PostgreSQL how to retrieve archived WAL file segments. Like the archive_command, this is a shell command string. It can contain %f, which is replaced by the name of the desired log file, and %p, which is replaced by the path name to copy the log file to. (The path name is relative to the current working directory, i.e., the cluster's data directory.) Write %% if you need to embed an actual % character in the command. The simplest useful command is something like: restore_command = 'cp /mnt/server/archivedir/%f %p' which will copy previously archived WAL segments from the directory /mnt/server/archivedir. Of course, you can use something much more complicated, perhaps even a shell script that requests the operator to mount an appropriate tape. It is important that the command return nonzero exit status on failure. The command will be called requesting files that are not present in the archive; it must return nonzero when so asked. This is not an error condition. An exception is that if the command was terminated by a signal (other than SIGTERM, which is used as part of a database server shutdown) or an error by the shell (such as command not found), then recovery will abort and the server will not start up. Not all of the requested files will be WAL segment files; you should also expect requests for files with a suffix of .backup or .history. Also be aware that the base name of the %p path will be different from %f; do not expect them to be interchangeable. WAL segments that cannot be found in the archive will be sought in pg_wal/; this allows use of recent un-archived segments. However, segments that are available from the archive will be used in preference to files in pg_wal/. Normally, recovery will proceed through all available WAL segments, thereby restoring the database to the current point in time (or as close as possible given the available WAL segments). Therefore, a normal recovery will end with a file not found message, the exact text of the error message depending upon your choice of restore_command. You may also see an error message at the start of recovery for a file named something like 00000001.history. This is also normal and does not indicate a problem in simple recovery situations; see for discussion. If you want to recover to some previous point in time (say, right before the junior DBA dropped your main transaction table), just specify the required stopping point in recovery.conf. You can specify the stop point, known as the recovery target, either by date/time, named restore point or by completion of a specific transaction ID. As of this writing only the date/time and named restore point options are very usable, since there are no tools to help you identify with any accuracy which transaction ID to use. The stop point must be after the ending time of the base backup, i.e., the end time of pg_stop_backup. You cannot use a base backup to recover to a time when that backup was in progress. (To recover to such a time, you must go back to your previous base backup and roll forward from there.) If recovery finds corrupted WAL data, recovery will halt at that point and the server will not start. In such a case the recovery process could be re-run from the beginning, specifying a recovery target before the point of corruption so that recovery can complete normally. If recovery fails for an external reason, such as a system crash or if the WAL archive has become inaccessible, then the recovery can simply be restarted and it will restart almost from where it failed. Recovery restart works much like checkpointing in normal operation: the server periodically forces all its state to disk, and then updates the pg_control file to indicate that the already-processed WAL data need not be scanned again. Timelines timelines The ability to restore the database to a previous point in time creates some complexities that are akin to science-fiction stories about time travel and parallel universes. For example, in the original history of the database, suppose you dropped a critical table at 5:15PM on Tuesday evening, but didn't realize your mistake until Wednesday noon. Unfazed, you get out your backup, restore to the point-in-time 5:14PM Tuesday evening, and are up and running. In this history of the database universe, you never dropped the table. But suppose you later realize this wasn't such a great idea, and would like to return to sometime Wednesday morning in the original history. You won't be able to if, while your database was up-and-running, it overwrote some of the WAL segment files that led up to the time you now wish you could get back to. Thus, to avoid this, you need to distinguish the series of WAL records generated after you've done a point-in-time recovery from those that were generated in the original database history. To deal with this problem, PostgreSQL has a notion of timelines. Whenever an archive recovery completes, a new timeline is created to identify the series of WAL records generated after that recovery. The timeline ID number is part of WAL segment file names so a new timeline does not overwrite the WAL data generated by previous timelines. It is in fact possible to archive many different timelines. While that might seem like a useless feature, it's often a lifesaver. Consider the situation where you aren't quite sure what point-in-time to recover to, and so have to do several point-in-time recoveries by trial and error until you find the best place to branch off from the old history. Without timelines this process would soon generate an unmanageable mess. With timelines, you can recover to any prior state, including states in timeline branches that you abandoned earlier. Every time a new timeline is created, PostgreSQL creates a timeline history file that shows which timeline it branched off from and when. These history files are necessary to allow the system to pick the right WAL segment files when recovering from an archive that contains multiple timelines. Therefore, they are archived into the WAL archive area just like WAL segment files. The history files are just small text files, so it's cheap and appropriate to keep them around indefinitely (unlike the segment files which are large). You can, if you like, add comments to a history file to record your own notes about how and why this particular timeline was created. Such comments will be especially valuable when you have a thicket of different timelines as a result of experimentation. The default behavior of recovery is to recover along the same timeline that was current when the base backup was taken. If you wish to recover into some child timeline (that is, you want to return to some state that was itself generated after a recovery attempt), you need to specify the target timeline ID in recovery.conf. You cannot recover into timelines that branched off earlier than the base backup. Tips and Examples Some tips for configuring continuous archiving are given here. Standalone Hot Backups It is possible to use PostgreSQL's backup facilities to produce standalone hot backups. These are backups that cannot be used for point-in-time recovery, yet are typically much faster to backup and restore than pg_dump dumps. (They are also much larger than pg_dump dumps, so in some cases the speed advantage might be negated.) As with base backups, the easiest way to produce a standalone hot backup is to use the tool. If you include the -X parameter when calling it, all the write-ahead log required to use the backup will be included in the backup automatically, and no special action is required to restore the backup. If more flexibility in copying the backup files is needed, a lower level process can be used for standalone hot backups as well. To prepare for low level standalone hot backups, make sure wal_level is set to replica or higher, archive_mode to on, and set up an archive_command that performs archiving only when a switch file exists. For example: archive_command = 'test ! -f /var/lib/pgsql/backup_in_progress || (test ! -f /var/lib/pgsql/archive/%f && cp %p /var/lib/pgsql/archive/%f)' This command will perform archiving when /var/lib/pgsql/backup_in_progress exists, and otherwise silently return zero exit status (allowing PostgreSQL to recycle the unwanted WAL file). With this preparation, a backup can be taken using a script like the following: touch /var/lib/pgsql/backup_in_progress psql -c "select pg_start_backup('hot_backup');" tar -cf /var/lib/pgsql/backup.tar /var/lib/pgsql/data/ psql -c "select pg_stop_backup();" rm /var/lib/pgsql/backup_in_progress tar -rf /var/lib/pgsql/backup.tar /var/lib/pgsql/archive/ The switch file /var/lib/pgsql/backup_in_progress is created first, enabling archiving of completed WAL files to occur. After the backup the switch file is removed. Archived WAL files are then added to the backup so that both base backup and all required WAL files are part of the same tar file. Please remember to add error handling to your backup scripts. Compressed Archive Logs If archive storage size is a concern, you can use gzip to compress the archive files: archive_command = 'gzip < %p > /var/lib/pgsql/archive/%f' You will then need to use gunzip during recovery: restore_command = 'gunzip < /mnt/server/archivedir/%f > %p' <varname>archive_command</varname> Scripts Many people choose to use scripts to define their archive_command, so that their postgresql.conf entry looks very simple: archive_command = 'local_backup_script.sh "%p" "%f"' Using a separate script file is advisable any time you want to use more than a single command in the archiving process. This allows all complexity to be managed within the script, which can be written in a popular scripting language such as bash or perl. Examples of requirements that might be solved within a script include: Copying data to secure off-site data storage Batching WAL files so that they are transferred every three hours, rather than one at a time Interfacing with other backup and recovery software Interfacing with monitoring software to report errors When using an archive_command script, it's desirable to enable . Any messages written to stderr from the script will then appear in the database server log, allowing complex configurations to be diagnosed easily if they fail. Caveats At this writing, there are several limitations of the continuous archiving technique. These will probably be fixed in future releases: If a command is executed while a base backup is being taken, and then the template database that the CREATE DATABASE copied is modified while the base backup is still in progress, it is possible that recovery will cause those modifications to be propagated into the created database as well. This is of course undesirable. To avoid this risk, it is best not to modify any template databases while taking a base backup. commands are WAL-logged with the literal absolute path, and will therefore be replayed as tablespace creations with the same absolute path. This might be undesirable if the log is being replayed on a different machine. It can be dangerous even if the log is being replayed on the same machine, but into a new data directory: the replay will still overwrite the contents of the original tablespace. To avoid potential gotchas of this sort, the best practice is to take a new base backup after creating or dropping tablespaces. It should also be noted that the default WAL format is fairly bulky since it includes many disk page snapshots. These page snapshots are designed to support crash recovery, since we might need to fix partially-written disk pages. Depending on your system hardware and software, the risk of partial writes might be small enough to ignore, in which case you can significantly reduce the total volume of archived logs by turning off page snapshots using the parameter. (Read the notes and warnings in before you do so.) Turning off page snapshots does not prevent use of the logs for PITR operations. An area for future development is to compress archived WAL data by removing unnecessary page copies even when full_page_writes is on. 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