Postgresql 中文操作指南

pgbench

pgbench — 对 PostgreSQL 运行一个基准测试

pgbench — run a benchmark test on PostgreSQL

Synopsis

pgbench -i [ option …​] [ dbname ]

pgbench -i [option…​] [dbname]

pgbench [ option …​] [ dbname ]

pgbench [option…​] [dbname]

Description

pgbench 是一个简单的程序,用于对 PostgreSQL 运行基准测试。它会反复运行同一系列 SQL 命令,可能在多个并发的数据库会话中,然后计算平均事务速率(每秒事务数)。默认情况下,pgbench 测试一个大致基于 TPC-B 的场景,即每个事务涉及五条 SELECTUPDATEINSERT 命令。但是,可以通过编写您自己的事务脚本文件来轻松测试其他案例。

pgbench is a simple program for running benchmark tests on PostgreSQL. It runs the same sequence of SQL commands over and over, possibly in multiple concurrent database sessions, and then calculates the average transaction rate (transactions per second). By default, pgbench tests a scenario that is loosely based on TPC-B, involving five SELECT, UPDATE, and INSERT commands per transaction. However, it is easy to test other cases by writing your own transaction script files.

pgbench 的典型输出如下所示:

Typical output from pgbench looks like:

transaction type: <builtin: TPC-B (sort of)>
scaling factor: 10
query mode: simple
number of clients: 10
number of threads: 1
maximum number of tries: 1
number of transactions per client: 1000
number of transactions actually processed: 10000/10000
number of failed transactions: 0 (0.000%)
latency average = 11.013 ms
latency stddev = 7.351 ms
initial connection time = 45.758 ms
tps = 896.967014 (without initial connection time)

前七行报告了一些最重要的参数设置。第六行报告事务序列化或死锁错误的最大尝试次数(有关详细信息,请参见 Failures and Serialization/Deadlock Retries )。第八行报告完成和预期的事务数(后者只是客户端数和每个客户端事务数的乘积);除非运行在完成前失败或某些 SQL 命令失败,否则这两者将相等。(在 -T 模式中,只会打印实际事务数。)下一行报告由于序列化或死锁错误而导致的事务失败数(有关详细信息,请参见 Failures and Serialization/Deadlock Retries )。最后一行报告每秒事务数。

The first seven lines report some of the most important parameter settings. The sixth line reports the maximum number of tries for transactions with serialization or deadlock errors (see Failures and Serialization/Deadlock Retries for more information). The eighth line reports the number of transactions completed and intended (the latter being just the product of number of clients and number of transactions per client); these will be equal unless the run failed before completion or some SQL command(s) failed. (In -T mode, only the actual number of transactions is printed.) The next line reports the number of failed transactions due to serialization or deadlock errors (see Failures and Serialization/Deadlock Retries for more information). The last line reports the number of transactions per second.

默认的类似 TPC-B 的事务测试需要事先设置特定表。应使用 -i (初始化)选项调用 pgbench 以创建和填充这些表。(当您测试自定义脚本时,您不需要此步骤,但需要按照您的测试需要进行任何设置。)初始化如下所示:

The default TPC-B-like transaction test requires specific tables to be set up beforehand. pgbench should be invoked with the -i (initialize) option to create and populate these tables. (When you are testing a custom script, you don’t need this step, but will instead need to do whatever setup your test needs.) Initialization looks like:

pgbench -i [ other-options ] dbname

其中 dbname 是要在其中进行测试的已创建数据库的名称。(您可能还需要 -h-p 和/或 -U 选项来指定如何连接到数据库服务器。)

where dbname is the name of the already-created database to test in. (You may also need -h, -p, and/or -U options to specify how to connect to the database server.)

Caution

pgbench -i 创建四个表 pgbench_accountspgbench_branchespgbench_historypgbench_tellers ,并销毁带有这些名称的任何现有表。如果您有带有这些名称的表,务必非常小心地使用另一个数据库!

pgbench -i creates four tables pgbench_accounts, pgbench_branches, pgbench_history, and pgbench_tellers, destroying any existing tables of these names. Be very careful to use another database if you have tables having these names!

以默认的“比例因子”1来看,表初始包含这么多行:

At the default “scale factor” of 1, the tables initially contain this many rows:

table                   # of rows
---------------------------------
pgbench_branches        1
pgbench_tellers         10
pgbench_accounts        100000
pgbench_history         0

您可以(并且在大多数情况下应该)使用 -s (比例因子)选项增加行数。此时,还可以使用 -F (填充因子)选项。

You can (and, for most purposes, probably should) increase the number of rows by using the -s (scale factor) option. The -F (fillfactor) option might also be used at this point.

完成后,您可以使用不包含 -i 命令运行基准,即

Once you have done the necessary setup, you can run your benchmark with a command that doesn’t include -i, that is

pgbench [ options ] dbname

在几乎所有情况下,您需要一些选项来进行有用的测试。最重要的选项是 -c (客户端数量)、 -t (交易数量)、 -T (时间限制)和 -f (指定自定义脚本文件)。请参阅下列内容以获取完整列表。

In nearly all cases, you’ll need some options to make a useful test. The most important options are -c (number of clients), -t (number of transactions), -T (time limit), and -f (specify a custom script file). See below for a full list.

Options

以下内容分为三个小节。在数据库初始化和运行基准测试期间会使用不同的选项,但在两种情况下,均有一些选项非常有用。

The following is divided into three subsections. Different options are used during database initialization and while running benchmarks, but some options are useful in both cases.

Initialization Options

pgbench接受以下命令行初始化参数:

pgbench accepts the following command-line initialization arguments:

  • dbname #

    • Specifies the name of the database to test in. If this is not specified, the environment variable PGDATABASE is used. If that is not set, the user name specified for the connection is used.

  • -i_—​initialize_ #

    • Required to invoke initialization mode.

  • -I _init_steps—​init-steps=_init_steps #

    • Perform just a selected set of the normal initialization steps. init_steps specifies the initialization steps to be performed, using one character per step. Each step is invoked in the specified order. The default is dtgvp. The available steps are:

  • -F fillfactor—​fillfactor=fillfactor #

    • Create the pgbench_accounts, pgbench_tellers and pgbench_branches tables with the given fillfactor. Default is 100.

  • -n_—​no-vacuum_ #

    • Perform no vacuuming during initialization. (This option suppresses the v initialization step, even if it was specified in -I.)

  • -q_—​quiet_ #

    • Switch logging to quiet mode, producing only one progress message per 5 seconds. The default logging prints one message each 100,000 rows, which often outputs many lines per second (especially on good hardware).

    • This setting has no effect if G is specified in -I.

  • -s scale_factor—​scale=scale_factor #

    • Multiply the number of rows generated by the scale factor. For example, -s 100 will create 10,000,000 rows in the pgbench_accounts table. Default is 1. When the scale is 20,000 or larger, the columns used to hold account identifiers (aid columns) will switch to using larger integers (bigint), in order to be big enough to hold the range of account identifiers.

  • —​foreign-keys #

    • Create foreign key constraints between the standard tables. (This option adds the f step to the initialization step sequence, if it is not already present.)

  • —​index-tablespace=_index_tablespace_ #

    • Create indexes in the specified tablespace, rather than the default tablespace.

  • —​partition-method=_NAME_ #

    • Create a partitioned pgbench_accounts table with NAME method. Expected values are range or hash. This option requires that —​partitions is set to non-zero. If unspecified, default is range.

  • —​partitions=_NUM_ #

    • Create a partitioned pgbench_accounts table with NUM partitions of nearly equal size for the scaled number of accounts. Default is 0, meaning no partitioning.

  • —​tablespace=_tablespace_ #

    • Create tables in the specified tablespace, rather than the default tablespace.

  • —​unlogged-tables #

    • Create all tables as unlogged tables, rather than permanent tables.

  • d (Drop) #

    • Drop any existing pgbench tables.

  • t (create Tables) #

    • Create the tables used by the standard pgbench scenario, namely pgbench_accounts, pgbench_branches, pgbench_history, and pgbench_tellers.

  • g or G (Generate data, client-side or server-side) #

    • Generate data and load it into the standard tables, replacing any data already present.

    • With g (client-side data generation), data is generated in pgbench client and then sent to the server. This uses the client/server bandwidth extensively through a COPY. pgbench uses the FREEZE option with version 14 or later of PostgreSQL to speed up subsequent VACUUM, unless partitions are enabled. Using g causes logging to print one message every 100,000 rows while generating data for the pgbench_accounts table.

    • With G (server-side data generation), only small queries are sent from the pgbench client and then data is actually generated in the server. No significant bandwidth is required for this variant, but the server will do more work. Using G causes logging not to print any progress message while generating data.

    • The default initialization behavior uses client-side data generation (equivalent to g).

  • v (Vacuum) #

    • Invoke VACUUM on the standard tables.

  • p (create Primary keys) #

    • Create primary key indexes on the standard tables.

  • f (create Foreign keys) #

    • Create foreign key constraints between the standard tables. (Note that this step is not performed by default.)

Benchmarking Options

pgbench 接受以下命令行基准测试参数:

pgbench accepts the following command-line benchmarking arguments:

  • -b scriptname[@weight]_—​builtin_=scriptname[@weight] #

    • Add the specified built-in script to the list of scripts to be executed. Available built-in scripts are: tpcb-like, simple-update and select-only. Unambiguous prefixes of built-in names are accepted. With the special name list, show the list of built-in scripts and exit immediately.

    • Optionally, write an integer weight after @ to adjust the probability of selecting this script versus other ones. The default weight is 1. See below for details.

  • -c clients—​client=clients #

    • Number of clients simulated, that is, number of concurrent database sessions. Default is 1.

  • -C_—​connect_ #

    • Establish a new connection for each transaction, rather than doing it just once per client session. This is useful to measure the connection overhead.

  • -d_—​debug_ #

    • Print debugging output.

  • -D varname=value—​define=varname=value #

    • Define a variable for use by a custom script (see below). Multiple -D options are allowed.

  • -f filename—​file=filename[@weight] #

    • Add a transaction script read from filename to the list of scripts to be executed.

    • Optionally, write an integer weight after @ to adjust the probability of selecting this script versus other ones. The default weight is 1. (To use a script file name that includes an @ character, append a weight so that there is no ambiguity, for example filen@me@1.) See below for details.

  • -j threads—​jobs=threads #

    • Number of worker threads within pgbench. Using more than one thread can be helpful on multi-CPU machines. Clients are distributed as evenly as possible among available threads. Default is 1.

  • -l_—​log_ #

    • Write information about each transaction to a log file. See below for details.

  • -L limit—​latency-limit=limit #

    • Transactions that last more than limit milliseconds are counted and reported separately, as late.

    • When throttling is used (—​rate=…​), transactions that lag behind schedule by more than limit ms, and thus have no hope of meeting the latency limit, are not sent to the server at all. They are counted and reported separately as skipped.

    • When the —​max-tries option is used, a transaction which fails due to a serialization anomaly or from a deadlock will not be retried if the total time of all its tries is greater than limit ms. To limit only the time of tries and not their number, use —​max-tries=0. By default, the option —​max-tries is set to 1 and transactions with serialization/deadlock errors are not retried. See Failures and Serialization/Deadlock Retries for more information about retrying such transactions.

  • -M querymode—​protocol=querymode #

    • Protocol to use for submitting queries to the server:

    • In the prepared mode, pgbench reuses the parse analysis result starting from the second query iteration, so pgbench runs faster than in other modes.

    • The default is simple query protocol. (See Chapter 55 for more information.)

  • -n_—​no-vacuum_ #

    • Perform no vacuuming before running the test. This option is necessary if you are running a custom test scenario that does not include the standard tables pgbench_accounts, pgbench_branches, pgbench_history, and pgbench_tellers.

  • -N_—​skip-some-updates_ #

    • Run built-in simple-update script. Shorthand for -b simple-update.

  • -P sec—​progress=sec #

    • Show progress report every sec seconds. The report includes the time since the beginning of the run, the TPS since the last report, and the transaction latency average, standard deviation, and the number of failed transactions since the last report. Under throttling (-R), the latency is computed with respect to the transaction scheduled start time, not the actual transaction beginning time, thus it also includes the average schedule lag time. When —​max-tries is used to enable transaction retries after serialization/deadlock errors, the report includes the number of retried transactions and the sum of all retries.

  • -r_—​report-per-command_ #

    • Report the following statistics for each command after the benchmark finishes: the average per-statement latency (execution time from the perspective of the client), the number of failures, and the number of retries after serialization or deadlock errors in this command. The report displays retry statistics only if the —​max-tries option is not equal to 1.

  • -R rate—​rate=rate #

    • Execute transactions targeting the specified rate instead of running as fast as possible (the default). The rate is given in transactions per second. If the targeted rate is above the maximum possible rate, the rate limit won’t impact the results.

    • The rate is targeted by starting transactions along a Poisson-distributed schedule time line. The expected start time schedule moves forward based on when the client first started, not when the previous transaction ended. That approach means that when transactions go past their original scheduled end time, it is possible for later ones to catch up again.

    • When throttling is active, the transaction latency reported at the end of the run is calculated from the scheduled start times, so it includes the time each transaction had to wait for the previous transaction to finish. The wait time is called the schedule lag time, and its average and maximum are also reported separately. The transaction latency with respect to the actual transaction start time, i.e., the time spent executing the transaction in the database, can be computed by subtracting the schedule lag time from the reported latency.

    • If —​latency-limit is used together with —​rate, a transaction can lag behind so much that it is already over the latency limit when the previous transaction ends, because the latency is calculated from the scheduled start time. Such transactions are not sent to the server, but are skipped altogether and counted separately.

    • A high schedule lag time is an indication that the system cannot process transactions at the specified rate, with the chosen number of clients and threads. When the average transaction execution time is longer than the scheduled interval between each transaction, each successive transaction will fall further behind, and the schedule lag time will keep increasing the longer the test run is. When that happens, you will have to reduce the specified transaction rate.

  • -s scale_factor—​scale=scale_factor #

    • Report the specified scale factor in pgbench’s output. With the built-in tests, this is not necessary; the correct scale factor will be detected by counting the number of rows in the pgbench_branches table. However, when testing only custom benchmarks (-f option), the scale factor will be reported as 1 unless this option is used.

  • -S_—​select-only_ #

    • Run built-in select-only script. Shorthand for -b select-only.

  • -t transactions—​transactions=transactions #

    • Number of transactions each client runs. Default is 10.

  • -T seconds—​time=seconds #

    • Run the test for this many seconds, rather than a fixed number of transactions per client. -t and -T are mutually exclusive.

  • -v_—​vacuum-all_ #

    • Vacuum all four standard tables before running the test. With neither -n nor -v, pgbench will vacuum the pgbench_tellers and pgbench_branches tables, and will truncate pgbench_history.

  • —​aggregate-interval=_seconds_ #

    • Length of aggregation interval (in seconds). May be used only with -l option. With this option, the log contains per-interval summary data, as described below.

  • —​failures-detailed #

  • —​log-prefix=_prefix_ #

    • Set the filename prefix for the log files created by —​log. The default is pgbench_log.

  • —​max-tries=_number_of_tries_ #

    • Enable retries for transactions with serialization/deadlock errors and set the maximum number of these tries. This option can be combined with the —​latency-limit option which limits the total time of all transaction tries; moreover, you cannot use an unlimited number of tries (—​max-tries=0) without —​latency-limit or —​time. The default value is 1 and transactions with serialization/deadlock errors are not retried. See Failures and Serialization/Deadlock Retries for more information about retrying such transactions.

  • —​progress-timestamp #

    • When showing progress (option -P), use a timestamp (Unix epoch) instead of the number of seconds since the beginning of the run. The unit is in seconds, with millisecond precision after the dot. This helps compare logs generated by various tools.

  • —​random-seed=__seed #

    • Set random generator seed. Seeds the system random number generator, which then produces a sequence of initial generator states, one for each thread. Values for seed may be: time (the default, the seed is based on the current time), rand (use a strong random source, failing if none is available), or an unsigned decimal integer value. The random generator is invoked explicitly from a pgbench script (random…​ functions) or implicitly (for instance option —​rate uses it to schedule transactions). When explicitly set, the value used for seeding is shown on the terminal. Any value allowed for seed may also be provided through the environment variable PGBENCH_RANDOM_SEED. To ensure that the provided seed impacts all possible uses, put this option first or use the environment variable.

    • Setting the seed explicitly allows to reproduce a pgbench run exactly, as far as random numbers are concerned. As the random state is managed per thread, this means the exact same pgbench run for an identical invocation if there is one client per thread and there are no external or data dependencies. From a statistical viewpoint reproducing runs exactly is a bad idea because it can hide the performance variability or improve performance unduly, e.g., by hitting the same pages as a previous run. However, it may also be of great help for debugging, for instance re-running a tricky case which leads to an error. Use wisely.

  • —​sampling-rate=_rate_ #

    • Sampling rate, used when writing data into the log, to reduce the amount of log generated. If this option is given, only the specified fraction of transactions are logged. 1.0 means all transactions will be logged, 0.05 means only 5% of the transactions will be logged.

    • Remember to take the sampling rate into account when processing the log file. For example, when computing TPS values, you need to multiply the numbers accordingly (e.g., with 0.01 sample rate, you’ll only get 1/100 of the actual TPS).

  • —​show-script=__scriptname #

    • Show the actual code of builtin script scriptname on stderr, and exit immediately.

  • —​verbose-errors #

    • Print messages about all errors and failures (errors without retrying) including which limit for retries was exceeded and how far it was exceeded for the serialization/deadlock failures. (Note that in this case the output can be significantly increased.). See Failures and Serialization/Deadlock Retries for more information.

Common Options

pgbench 还接受以下常见的连接参数命令行参数:

pgbench also accepts the following common command-line arguments for connection parameters:

  • -h hostname—​host=hostname #

    • The database server’s host name

  • -p port—​port=port #

    • The database server’s port number

  • -U login—​username=login #

    • The user name to connect as

  • -V_—​version_ #

    • Print the pgbench version and exit.

  • -?_—​help_ #

    • Show help about pgbench command line arguments, and exit.

Exit Status

成功运行将退出状态 0。退出状态 1 表示静态问题,例如无效的命令行选项或应永远不会发生的内部错误。在启动基准测试时发生的早期错误,例如初始连接失败,也会以状态 1 退出。运行期间发生的错误(例如数据库错误或脚本中的问题)将导致退出状态 2。在后一种情况下,pgbench 将打印部分结果。

A successful run will exit with status 0. Exit status 1 indicates static problems such as invalid command-line options or internal errors which are supposed to never occur. Early errors that occur when starting benchmark such as initial connection failures also exit with status 1. Errors during the run such as database errors or problems in the script will result in exit status 2. In the latter case, pgbench will print partial results.

Environment

  • PGDATABASE_PGHOST_PGPORT__PGUSER #

    • Default connection parameters.

此实用工具与大多数其他 PostgreSQL 实用工具类似,它使用 libpq 所支持的环境变量(请参阅 Section 34.15 )。

This utility, like most other PostgreSQL utilities, uses the environment variables supported by libpq (see Section 34.15).

环境变量 PG_COLOR 指定是否在诊断消息中使用颜色。可能的值是 alwaysautonever

The environment variable PG_COLOR specifies whether to use color in diagnostic messages. Possible values are always, auto and never.

Notes

What Is the “Transaction” Actually Performed in pgbench?

pgbench 根据从指定列表中随机选取的测试脚本执行。脚本可能包含使用 -b 指定的内置脚本和使用 -f 指定的用户提供的脚本。为每个脚本指定 @ 后指定的相对权重,以更改其选择概率。默认权重是 1 。权重为 0 的脚本将被忽略。

pgbench executes test scripts chosen randomly from a specified list. The scripts may include built-in scripts specified with -b and user-provided scripts specified with -f. Each script may be given a relative weight specified after an @ so as to change its selection probability. The default weight is 1. Scripts with a weight of 0 are ignored.

默认内置事务脚本(也随 -b tpcb-like 一起调用)在随机选取的 aidtidbiddelta 上为每个事务发出七个命令。场景源于 TPC-B 基准测试,但实际上并不是 TPC-B,因此得名。

The default built-in transaction script (also invoked with -b tpcb-like) issues seven commands per transaction over randomly chosen aid, tid, bid and delta. The scenario is inspired by the TPC-B benchmark, but is not actually TPC-B, hence the name.

如果您选择内置 simple-update (也为 -N ),那么步骤 4 和 5 将不会包含在事务中。这样可以避免这些表上的更新争用,但也会让测试用例与 TPC-B 相似度更低。

If you select the simple-update built-in (also -N), steps 4 and 5 aren’t included in the transaction. This will avoid update contention on these tables, but it makes the test case even less like TPC-B.

如果您选择内置 select-only (也为 -S ),那么只发出了 SELECT

If you select the select-only built-in (also -S), only the SELECT is issued.

Custom Scripts

通过使用从文件( -f 选项)读取的事务脚本替换上述默认事务脚本,pgbench 可以支持运行自定义基准测试场景。在这种情况下,“事务”被记作一次执行脚本文件。

pgbench has support for running custom benchmark scenarios by replacing the default transaction script (described above) with a transaction script read from a file (-f option). In this case a “transaction” counts as one execution of a script file.

脚本文件包含一个或多个以分号结尾的 SQL 命令。空行和以 —​ 开头的行将被忽略。脚本文件还可以包含 pgbench 本身解释的“元命令”,如下所述。

A script file contains one or more SQL commands terminated by semicolons. Empty lines and lines beginning with —​ are ignored. Script files can also contain “meta commands”, which are interpreted by pgbench itself, as described below.

Note

在 PostgreSQL 9.6 之前,脚本文件中的 SQL 命令以新行结尾,因此它们无法跨行继续。现在,分号用来 required 分隔连续的 SQL 命令(尽管如果 SQL 命令后面是元命令,则不需要分号)。如果您需要创建一个同时适用于 pgbench 旧版本和新版本的脚本文件,请务必将每个 SQL 命令写在以分号结尾的单行上。

Before PostgreSQL 9.6, SQL commands in script files were terminated by newlines, and so they could not be continued across lines. Now a semicolon is required to separate consecutive SQL commands (though an SQL command does not need one if it is followed by a meta command). If you need to create a script file that works with both old and new versions of pgbench, be sure to write each SQL command on a single line ending with a semicolon.

pgbench 脚本假设不包含不完整的 SQL 事务块。如果在运行时客户端在未完成最后一个事务块的情况下到达脚本末尾,那么将中止事务块。

It is assumed that pgbench scripts do not contain incomplete blocks of SQL transactions. If at runtime the client reaches the end of the script without completing the last transaction block, it will be aborted.

脚本文件有一个简单的变量替换工具。变量名称必须包含字母(包括非拉丁字母)、数字和下划线,其首字母不得是数字。可以通过上面解释的命令行 -D 选项,或下面解释的元命令来设置变量。除了 -D 命令行选项预设的任何变量,还有一些预先自动设置的变量,如 Table 293 中所列。使用 -D 指定的这些变量值优先于自动预设值。设置后,可以通过编写 :__variablename 将变量值插入 SQL 命令中。当运行多于一个客户端会话时,每个会话都有自己的一组变量。pgbench 支持在一个语句中最多使用 255 个变量。

There is a simple variable-substitution facility for script files. Variable names must consist of letters (including non-Latin letters), digits, and underscores, with the first character not being a digit. Variables can be set by the command-line -D option, explained above, or by the meta commands explained below. In addition to any variables preset by -D command-line options, there are a few variables that are preset automatically, listed in Table 293. A value specified for these variables using -D takes precedence over the automatic presets. Once set, a variable’s value can be inserted into an SQL command by writing :__variablename. When running more than one client session, each session has its own set of variables. pgbench supports up to 255 variable uses in one statement.

Table 293. pgbench Automatic Variables

Table 293. pgbench Automatic Variables

Variable

Description

client_id

unique number identifying the client session (starts from zero)

default_seed

seed used in hash and pseudorandom permutation functions by default

random_seed

random generator seed (unless overwritten with -D)

scale

current scale factor

脚本文件元命令以反斜杠 ( \ ) 开头,并且通常一直延伸到该行末尾,但可以通过编写反斜杠-换行符来继续到其他行。对元命令提供的参数由空格分隔。支持以下元命令:

Script file meta commands begin with a backslash (\) and normally extend to the end of the line, although they can be continued to additional lines by writing backslash-return. Arguments to a meta command are separated by white space. These meta commands are supported:

  • \gset [_prefix]_ \aset [_prefix]_ #

    • These commands may be used to end SQL queries, taking the place of the terminating semicolon (;).

    • When the \gset command is used, the preceding SQL query is expected to return one row, the columns of which are stored into variables named after column names, and prefixed with prefix if provided.

    • When the \aset command is used, all combined SQL queries (separated by \;) have their columns stored into variables named after column names, and prefixed with prefix if provided. If a query returns no row, no assignment is made and the variable can be tested for existence to detect this. If a query returns more than one row, the last value is kept.

    • \gset and \aset cannot be used in pipeline mode, since the query results are not yet available by the time the commands would need them.

    • The following example puts the final account balance from the first query into variable abalance, and fills variables p_two and p_three with integers from the third query. The result of the second query is discarded. The result of the two last combined queries are stored in variables four and five.

UPDATE pgbench_accounts
  SET abalance = abalance + :delta
  WHERE aid = :aid
  RETURNING abalance \gset
-- compound of two queries
SELECT 1 \;
SELECT 2 AS two, 3 AS three \gset p_
SELECT 4 AS four \; SELECT 5 AS five \aset
  • \if expression\elif expression\else_\endif_ #

    • This group of commands implements nestable conditional blocks, similarly to psql's \if expression. Conditional expressions are identical to those with \set, with non-zero values interpreted as true.

  • \set _varname expression_ #

    • Sets variable varname to a value calculated from expression. The expression may contain the NULL constant, Boolean constants TRUE and FALSE, integer constants such as 5432, double constants such as 3.14159, references to variables :__variablename, operators with their usual SQL precedence and associativity, function calls, SQL CASE generic conditional expressions and parentheses.

    • Functions and most operators return NULL on NULL input.

    • For conditional purposes, non zero numerical values are TRUE, zero numerical values and NULL are FALSE.

    • Too large or small integer and double constants, as well as integer arithmetic operators (+, -, * and /) raise errors on overflows.

    • When no final ELSE clause is provided to a CASE, the default value is NULL.

    • Examples:

\set ntellers 10 * :scale
\set aid (1021 * random(1, 100000 * :scale)) % \
           (100000 * :scale) + 1
\set divx CASE WHEN :x <> 0 THEN :y/:x ELSE NULL END
  • \sleep _number [ us | ms | s ]_ #

    • Causes script execution to sleep for the specified duration in microseconds (us), milliseconds (ms) or seconds (s). If the unit is omitted then seconds are the default. number can be either an integer constant or a :__variablename reference to a variable having an integer value.

    • Example:

\sleep 10 ms
  • \setshell _varname command [ argument …​ ]_ #

    • Sets variable varname to the result of the shell command command with the given argument(s). The command must return an integer value through its standard output.

    • command and each argument can be either a text constant or a :__variablename reference to a variable. If you want to use an argument starting with a colon, write an additional colon at the beginning of argument.

    • Example:

\setshell variable_to_be_assigned command literal_argument :variable ::literal_starting_with_colon
  • \shell _command [ argument …​ ]_ #

    • Same as \setshell, but the result of the command is discarded.

    • Example:

\shell command literal_argument :variable ::literal_starting_with_colon
  • \startpipeline_\endpipeline_ #

    • These commands delimit the start and end of a pipeline of SQL statements. In pipeline mode, statements are sent to the server without waiting for the results of previous statements. See Section 34.5 for more details. Pipeline mode requires the use of extended query protocol.

Built-in Operators

Table 294 中列出的算术、位运算、比较和逻辑运算符内置于 pgbench 中,并且可以用在 \set 中出现的表达式中。这些运算符按优先级顺序排列。除非另有说明,否则采用两个数字输入的运算符将在任一输入为双精度时生成双精度值,否则生成整数结果。

The arithmetic, bitwise, comparison and logical operators listed in Table 294 are built into pgbench and may be used in expressions appearing in \set. The operators are listed in increasing precedence order. Except as noted, operators taking two numeric inputs will produce a double value if either input is double, otherwise they produce an integer result.

Table 294. pgbench Operators

Table 294. pgbench Operators

Operator

Description

Example(s)

boolean OR booleanboolean

Logical OR

5 or 0TRUE

boolean AND booleanboolean

Logical AND

3 and 0FALSE

NOT booleanboolean

Logical NOT

not falseTRUE

boolean _IS [NOT] (NULL

TRUE

FALSE)_ → boolean

Boolean value tests

1 is nullFALSE

value _ISNULL

NOTNULL_ → boolean

Nullness tests

1 notnullTRUE

number = numberboolean

Equal

5 = 4FALSE

number <> numberboolean

Not equal

5 <> 4TRUE

number != numberboolean

Not equal

5 != 5FALSE

number < numberboolean

Less than

5 < 4FALSE

number numberboolean

Less than or equal to

5 ⇐ 4FALSE

number > numberboolean

Greater than

5 > 4TRUE

number >= numberboolean

Greater than or equal to

5 >= 4TRUE

integer _

_ integerinteger

Bitwise OR

_1

2_ → 3

integer # integerinteger

Bitwise XOR

1 # 32

integer & integerinteger

Bitwise AND

1 & 31

~ integerinteger

Bitwise NOT

~ 1-2

integer << integerinteger

Bitwise shift left

1 << 24

integer >> integerinteger

Bitwise shift right

8 >> 22

number + numbernumber

Addition

5 + 49

number - numbernumber

Subtraction

3 - 2.01.0

number * numbernumber

Multiplication

5 * 420

number / numbernumber

Division (truncates the result towards zero if both inputs are integers)

5 / 31

integer % integerinteger

Modulo (remainder)

3 % 21

- numbernumber

Negation

- 2.0-2.0

Built-In Functions

Table 295 中列出的函数是 pgbench 中内置的函数,可以在 \set 中出现的表达式中使用。

The functions listed in Table 295 are built into pgbench and may be used in expressions appearing in \set.

Table 295. pgbench Functions

Table 295. pgbench Functions

Function

Description

Example(s)

abs ( number ) → same type as input

Absolute value

abs(-17)17

debug ( number ) → same type as input

Prints the argument to stderr, and returns the argument.

debug(5432.1)5432.1

double ( number ) → double

Casts to double.

double(5432)5432.0

exp ( number ) → double

Exponential (e raised to the given power)

exp(1.0)2.718281828459045

greatest ( number [, …​ ] ) → double if any argument is double, else integer

Selects the largest value among the arguments.

greatest(5, 4, 3, 2)5

hash ( value [, seed ] ) → integer

This is an alias for hash_murmur2.

hash(10, 5432)-5817877081768721676

hash_fnv1a ( value [, seed ] ) → integer

Computes FNV-1a hash.

hash_fnv1a(10, 5432)-7793829335365542153

hash_murmur2 ( value [, seed ] ) → integer

Computes MurmurHash2 hash.

hash_murmur2(10, 5432)-5817877081768721676

int ( number ) → integer

Casts to integer.

int(5.4 + 3.8)9

least ( number [, …​ ] ) → double if any argument is double, else integer

Selects the smallest value among the arguments.

least(5, 4, 3, 2.1)2.1

ln ( number ) → double

Natural logarithm

ln(2.718281828459045)1.0

mod ( integer, integer ) → integer

Modulo (remainder)

mod(54, 32)22

permute ( i, size [, seed ] ) → integer

Permuted value of i, in the range [0, size). This is the new position of i (modulo size) in a pseudorandom permutation of the integers 0…​size-1, parameterized by seed, see below.

permute(0, 4)an integer between 0 and 3

pi () → double

Approximate value of π

pi()3.14159265358979323846

pow ( x, y ) → double

power ( x, y ) → double

x raised to the power of y

pow(2.0, 10)1024.0

random ( lb, ub ) → integer

Computes a uniformly-distributed random integer in [lb, ub].

random(1, 10)an integer between 1 and 10

random_exponential ( lb, ub, parameter ) → integer

Computes an exponentially-distributed random integer in [lb, ub], see below.

random_exponential(1, 10, 3.0)an integer between 1 and 10

random_gaussian ( lb, ub, parameter ) → integer

Computes a Gaussian-distributed random integer in [lb, ub], see below.

random_gaussian(1, 10, 2.5)an integer between 1 and 10

random_zipfian ( lb, ub, parameter ) → integer

Computes a Zipfian-distributed random integer in [lb, ub], see below.

random_zipfian(1, 10, 1.5)an integer between 1 and 10

sqrt ( number ) → double

Square root

sqrt(2.0)1.414213562

random 函数使用均匀分布生成值,即在指定范围内以相等的概率绘制所有值。 random_exponentialrandom_gaussianrandom_zipfian 函数需要一个附加的双精度参数,该参数决定分布的精确形状。

The random function generates values using a uniform distribution, that is all the values are drawn within the specified range with equal probability. The random_exponential, random_gaussian and random_zipfian functions require an additional double parameter which determines the precise shape of the distribution.

f(x) = exp(-parameter * (x - min) / (max - min + 1)) / (1 - exp(-parameter))

f(x) = exp(-parameter * (x - min) / (max - min + 1)) / (1 - exp(-parameter))

f(x) = PHI(2.0 * parameter * (x - mu) / (max - min + 1)) / (2.0 * PHI(parameter) - 1)

f(x) = PHI(2.0 * parameter * (x - mu) / (max - min + 1)) /        (2.0 * PHI(parameter) - 1)

Note

在设计非均匀选择行的基准时,请注意所选的行可能与其他数据相关,例如序列的 ID 或物理行顺序,这可能会影响性能度量。

When designing a benchmark which selects rows non-uniformly, be aware that the rows chosen may be correlated with other data such as IDs from a sequence or the physical row ordering, which may skew performance measurements.

为了避免这种情况,您可能希望使用 permute 函数或具有类似效果的其他附加步骤来对所选行进行混洗并去除此类关联。

To avoid this, you may wish to use the permute function, or some other additional step with similar effect, to shuffle the selected rows and remove such correlations.

哈希函数 hashhash_murmur2hash_fnv1a 接受一个输入值和一个可选的种子参数。如果未提供种子,则使用 :default_seed 的值,除非由命令行 -D 选项设置,否则将随机初始化此值。

Hash functions hash, hash_murmur2 and hash_fnv1a accept an input value and an optional seed parameter. In case the seed isn’t provided the value of :default_seed is used, which is initialized randomly unless set by the command-line -D option.

permute 接受一个输入值、一个大小和一个可选的种子参数。它将生成范围内整数的伪随机排列 [0, size) ,并返回排列值中输入值的位置。所选的排列由种子参数化,如果未指定,则默认为 :default_seed 。与哈希函数不同, permute 确保输出值中没有冲突或空位。区间外部的输入值将解释为模数大小。如果大小不为正,则函数将引发错误。 permute 可用于分散诸如 random_zipfianrandom_exponential 等非均匀随机函数的分布,以便绘制更多的值不会出现简单的相关性。例如,以下 pgbench 脚本模拟了社交媒体和博客平台中的可能真实工作负载,其中几个帐户会产生过多的负载:

permute accepts an input value, a size, and an optional seed parameter. It generates a pseudorandom permutation of integers in the range [0, size), and returns the index of the input value in the permuted values. The permutation chosen is parameterized by the seed, which defaults to :default_seed, if not specified. Unlike the hash functions, permute ensures that there are no collisions or holes in the output values. Input values outside the interval are interpreted modulo the size. The function raises an error if the size is not positive. permute can be used to scatter the distribution of non-uniform random functions such as random_zipfian or random_exponential so that values drawn more often are not trivially correlated. For instance, the following pgbench script simulates a possible real world workload typical for social media and blogging platforms where a few accounts generate excessive load:

\set size 1000000
\set r random_zipfian(1, :size, 1.07)
\set k 1 + permute(:r, :size)

在某些情况下,需要几个互不关联的不同分布,这时可选种子参数就派上用场了:

In some cases several distinct distributions are needed which don’t correlate with each other and this is when the optional seed parameter comes in handy:

\set k1 1 + permute(:r, :size, :default_seed + 123)
\set k2 1 + permute(:r, :size, :default_seed + 321)

一个类似的行为也可以通过 hash 近似:

A similar behavior can also be approximated with hash:

\set size 1000000
\set r random_zipfian(1, 100 * :size, 1.07)
\set k 1 + abs(hash(:r)) % :size

然而,由于 hash 会产生冲突,一些值将无法到达,而其他值将比从原始分布中预期的更加频繁。

However, since hash generates collisions, some values will not be reachable and others will be more frequent than expected from the original distribution.

作为一个示例,内置的类似 TPC-B 的事务的完整定义是:

As an example, the full definition of the built-in TPC-B-like transaction is:

\set aid random(1, 100000 * :scale)
\set bid random(1, 1 * :scale)
\set tid random(1, 10 * :scale)
\set delta random(-5000, 5000)
BEGIN;
UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;
SELECT abalance FROM pgbench_accounts WHERE aid = :aid;
UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;
UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;
INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);
END;

此脚本允许事务的每次迭代引用不同的随机选择的行。(此示例还显示了每个客户端会话拥有自己的变量的重要性,否则它们不会独立接触不同的行。)

This script allows each iteration of the transaction to reference different, randomly-chosen rows. (This example also shows why it’s important for each client session to have its own variables — otherwise they’d not be independently touching different rows.)

Per-Transaction Logging

使用 -l 选项(但没有 —​aggregate-interval 选项),pgbench 会将有关每个事务的信息写入一个日志文件。日志文件会被命名为 prefix.nnn ,其中 prefix 默认为 pgbench_lognnn 是 pgbench 进程的 PID。可以使用 —​log-prefix 选项更改前缀。如果 -j 选项为 2 或更高,以便有多个工作线程,则每个线程都会有自己的日志文件。第一个工作线程将为其日志文件使用与标准单工作线程情况相同的名称。其他工作线程的附加日志文件将被命名为 prefix.nnn.mmm ,其中 mmm 是从 1 开始的每个工作线程的顺序号。

With the -l option (but without the —​aggregate-interval option), pgbench writes information about each transaction to a log file. The log file will be named prefix_.nnn, where _prefix defaults to pgbench_log, and nnn is the PID of the pgbench process. The prefix can be changed by using the —​log-prefix option. If the -j option is 2 or higher, so that there are multiple worker threads, each will have its own log file. The first worker will use the same name for its log file as in the standard single worker case. The additional log files for the other workers will be named prefix_.nnn.mmm, where _mmm is a sequential number for each worker starting with 1.

日志文件中的每一行都描述一个事务。它包含以下空格分隔的字段:

Each line in a log file describes one transaction. It contains the following space-separated fields:

  • client_id

    • identifies the client session that ran the transaction

  • transaction_no

    • counts how many transactions have been run by that session

  • time

    • transaction’s elapsed time, in microseconds

  • script_no

    • identifies the script file that was used for the transaction (useful when multiple scripts are specified with -f or -b)

  • time_epoch

    • transaction’s completion time, as a Unix-epoch time stamp

  • time_us

    • fractional-second part of transaction’s completion time, in microseconds

  • schedule_lag

    • transaction start delay, that is the difference between the transaction’s scheduled start time and the time it actually started, in microseconds (present only if —​rate is specified)

  • retries

    • count of retries after serialization or deadlock errors during the transaction (present only if —​max-tries is not equal to one)

—​rate—​latency-limit 都使用时,跳过的事务的 time 将报告为 skipped 。如果事务以失败告终,其 time 将报告为 failed 。如果你使用 —​failures-detailed 选项,失败事务的 time 将报告为 serializationdeadlock (取决于失败类型,有关详情请参见 Failures and Serialization/Deadlock Retries )。

When both —​rate and —​latency-limit are used, the time for a skipped transaction will be reported as skipped. If the transaction ends with a failure, its time will be reported as failed. If you use the —​failures-detailed option, the time of the failed transaction will be reported as serialization or deadlock depending on the type of failure (see Failures and Serialization/Deadlock Retries for more information).

下面是一个在单客户端运行中生成的日志文件的片段:

Here is a snippet of a log file generated in a single-client run:

0 199 2241 0 1175850568 995598
0 200 2465 0 1175850568 998079
0 201 2513 0 1175850569 608
0 202 2038 0 1175850569 2663

另一个带有 —​rate=100—​latency-limit=5 的示例(注意额外的 schedule_lag 列):

Another example with —​rate=100 and —​latency-limit=5 (note the additional schedule_lag column):

0 81 4621 0 1412881037 912698 3005
0 82 6173 0 1412881037 914578 4304
0 83 skipped 0 1412881037 914578 5217
0 83 skipped 0 1412881037 914578 5099
0 83 4722 0 1412881037 916203 3108
0 84 4142 0 1412881037 918023 2333
0 85 2465 0 1412881037 919759 740

在此示例中,事务 82 迟到了,因为它的延迟(6.173 毫秒)超过了 5 毫秒的限制。后两个事务被跳过,因为它们甚至在启动之前就已经迟到了。

In this example, transaction 82 was late, because its latency (6.173 ms) was over the 5 ms limit. The next two transactions were skipped, because they were already late before they were even started.

以下示例显示了一个带有失败和重试的日志文件片段,最大尝试次数设置为 10(注意额外的 retries 列):

The following example shows a snippet of a log file with failures and retries, with the maximum number of tries set to 10 (note the additional retries column):

3 0 47423 0 1499414498 34501 3
3 1 8333 0 1499414498 42848 0
3 2 8358 0 1499414498 51219 0
4 0 72345 0 1499414498 59433 6
1 3 41718 0 1499414498 67879 4
1 4 8416 0 1499414498 76311 0
3 3 33235 0 1499414498 84469 3
0 0 failed 0 1499414498 84905 9
2 0 failed 0 1499414498 86248 9
3 4 8307 0 1499414498 92788 0

如果使用 —​failures-detailed 选项,则 time 中将以这种方式报告故障类型:

If the —​failures-detailed option is used, the type of failure is reported in the time like this:

3 0 47423 0 1499414498 34501 3
3 1 8333 0 1499414498 42848 0
3 2 8358 0 1499414498 51219 0
4 0 72345 0 1499414498 59433 6
1 3 41718 0 1499414498 67879 4
1 4 8416 0 1499414498 76311 0
3 3 33235 0 1499414498 84469 3
0 0 serialization 0 1499414498 84905 9
2 0 serialization 0 1499414498 86248 9
3 4 8307 0 1499414498 92788 0

在能够处理大量事务的硬件上运行长时间测试时,日志文件可能会变得非常大。可以使用 —​sampling-rate 选项来仅记录随机选择的交易样本。

When running a long test on hardware that can handle a lot of transactions, the log files can become very large. The —​sampling-rate option can be used to log only a random sample of transactions.

Aggregated Logging

使用 —​aggregate-interval 选项,日志文件将使用不同的格式。每行日志描述一个聚合间隔。它包含以下空格分隔的字段:

With the —​aggregate-interval option, a different format is used for the log files. Each log line describes one aggregation interval. It contains the following space-separated fields:

  • interval_start

    • start time of the interval, as a Unix-epoch time stamp

  • num_transactions

    • number of transactions within the interval

  • sum_latency

    • sum of transaction latencies

  • sum_latency_2

    • sum of squares of transaction latencies

  • min_latency

    • minimum transaction latency

  • max_latency

    • maximum transaction latency

  • sum_lag

    • sum of transaction start delays (zero unless —​rate is specified)

  • sum_lag_2

    • sum of squares of transaction start delays (zero unless —​rate is specified)

  • min_lag

    • minimum transaction start delay (zero unless —​rate is specified)

  • max_lag

    • maximum transaction start delay (zero unless —​rate is specified)

  • skipped

    • number of transactions skipped because they would have started too late (zero unless —​rate and —​latency-limit are specified)

  • retried

    • number of retried transactions (zero unless —​max-tries is not equal to one)

  • retries

    • number of retries after serialization or deadlock errors (zero unless —​max-tries is not equal to one)

  • serialization_failures

    • number of transactions that got a serialization error and were not retried afterwards (zero unless —​failures-detailed is specified)

  • deadlock_failures

    • number of transactions that got a deadlock error and were not retried afterwards (zero unless —​failures-detailed is specified)

以下是使用这些选项生成的一些示例输出:

Here is some example output generated with these options:

pgbench --aggregate-interval=10 --time=20 --client=10 --log --rate=1000 --latency-limit=10 --failures-detailed --max-tries=10 test

1650260552 5178 26171317 177284491527 1136 44462 2647617 7321113867 0 9866 64 7564 28340 4148 0
1650260562 4808 25573984 220121792172 1171 62083 3037380 9666800914 0 9998 598 7392 26621 4527 0

请注意,虽然普通(未聚合)日志格式显示了每笔交易中使用的脚本,但聚合格式没有显示。因此,如果您需要每个脚本的数据,则需要自行聚合数据。

Notice that while the plain (unaggregated) log format shows which script was used for each transaction, the aggregated format does not. Therefore if you need per-script data, you need to aggregate the data on your own.

Per-Statement Report

使用 -r 选项,pgbench 会针对每个语句收集以下统计信息:

With the -r option, pgbench collects the following statistics for each statement:

仅当 —​max-tries 选项不等于 1 时,报表才显示重试统计信息。

The report displays retry statistics only if the —​max-tries option is not equal to 1.

所有值是针对每位客户端执行的每条语句计算的,并在基准测试完成后报告。

All values are computed for each statement executed by every client and are reported after the benchmark has finished.

对于默认脚本,输出看起来与此类似:

For the default script, the output will look similar to this:

starting vacuum...end.
transaction type: <builtin: TPC-B (sort of)>
scaling factor: 1
query mode: simple
number of clients: 10
number of threads: 1
maximum number of tries: 1
number of transactions per client: 1000
number of transactions actually processed: 10000/10000
number of failed transactions: 0 (0.000%)
number of transactions above the 50.0 ms latency limit: 1311/10000 (13.110 %)
latency average = 28.488 ms
latency stddev = 21.009 ms
initial connection time = 69.068 ms
tps = 346.224794 (without initial connection time)
statement latencies in milliseconds and failures:
   0.012  0  \set aid random(1, 100000 * :scale)
   0.002  0  \set bid random(1, 1 * :scale)
   0.002  0  \set tid random(1, 10 * :scale)
   0.002  0  \set delta random(-5000, 5000)
   0.319  0  BEGIN;
   0.834  0  UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;
   0.641  0  SELECT abalance FROM pgbench_accounts WHERE aid = :aid;
  11.126  0  UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;
  12.961  0  UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;
   0.634  0  INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);
   1.957  0  END;

另一个使用可序列化默认事务隔离级别 ( PGOPTIONS='-c default_transaction_isolation=serializable' pgbench …​ ) 的默认脚本输出示例:

Another example of output for the default script using serializable default transaction isolation level (PGOPTIONS='-c default_transaction_isolation=serializable' pgbench …​):

starting vacuum...end.
transaction type: <builtin: TPC-B (sort of)>
scaling factor: 1
query mode: simple
number of clients: 10
number of threads: 1
maximum number of tries: 10
number of transactions per client: 1000
number of transactions actually processed: 6317/10000
number of failed transactions: 3683 (36.830%)
number of transactions retried: 7667 (76.670%)
total number of retries: 45339
number of transactions above the 50.0 ms latency limit: 106/6317 (1.678 %)
latency average = 17.016 ms
latency stddev = 13.283 ms
initial connection time = 45.017 ms
tps = 186.792667 (without initial connection time)
statement latencies in milliseconds, failures and retries:
  0.006     0      0  \set aid random(1, 100000 * :scale)
  0.001     0      0  \set bid random(1, 1 * :scale)
  0.001     0      0  \set tid random(1, 10 * :scale)
  0.001     0      0  \set delta random(-5000, 5000)
  0.385     0      0  BEGIN;
  0.773     0      1  UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;
  0.624     0      0  SELECT abalance FROM pgbench_accounts WHERE aid = :aid;
  1.098   320   3762  UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;
  0.582  3363  41576  UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;
  0.465     0      0  INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);
  1.933     0      0  END;

如果指定了多个脚本文件,所有统计信息将针对每个脚本文件单独报告。

If multiple script files are specified, all statistics are reported separately for each script file.

请注意,收集用于每条语句延迟计算所需的额外时间信息会增加一些开销。这会降低平均执行速度,并降低计算出的 TPS。减速量会根据平台和硬件而有很大差异。对比启用和禁用延迟报告后的平均 TPS 值是衡量时间开销是否重大的好方法。

Note that collecting the additional timing information needed for per-statement latency computation adds some overhead. This will slow average execution speed and lower the computed TPS. The amount of slowdown varies significantly depending on platform and hardware. Comparing average TPS values with and without latency reporting enabled is a good way to measure if the timing overhead is significant.

Failures and Serialization/Deadlock Retries

在执行 pgbench 时,有三种主要的错误类型:

When executing pgbench, there are three main types of errors:

如果出现严重错误,则将中止客户端运行;例如,与数据库服务器的连接丢失,或者未完成最后的事务即到达脚本结尾。此外,如果 SQL 或元命令的执行因序列化或死锁错误以外的原因而失败,客户端将被中止。否则,如果 SQL 命令因序列化或死锁错误而失败,则不会中止客户端。在这些情况下,将回滚当前事务,其中还包括将客户端变量设置回执行此事务前的样子(假设一个事务脚本仅包含一个事务;有关更多信息,请参阅 What Is the "Transaction" Actually Performed in pgbench? )。带有序列化或死锁错误的事务在回滚后将重复,直到成功完成或达到最大尝试次数(由 —​max-tries 选项指定)/ 最大重试时间(由 —​latency-limit 选项指定)/ 基准测试结束(由 —​time 选项指定)。如果最后一次试验运行失败,此事务将被报告为失败,但不会中止客户端,客户端将继续工作。

A client’s run is aborted in case of a serious error; for example, the connection with the database server was lost or the end of script was reached without completing the last transaction. In addition, if execution of an SQL or meta command fails for reasons other than serialization or deadlock errors, the client is aborted. Otherwise, if an SQL command fails with serialization or deadlock errors, the client is not aborted. In such cases, the current transaction is rolled back, which also includes setting the client variables as they were before the run of this transaction (it is assumed that one transaction script contains only one transaction; see What Is the "Transaction" Actually Performed in pgbench? for more information). Transactions with serialization or deadlock errors are repeated after rollbacks until they complete successfully or reach the maximum number of tries (specified by the —​max-tries option) / the maximum time of retries (specified by the —​latency-limit option) / the end of benchmark (specified by the —​time option). If the last trial run fails, this transaction will be reported as failed but the client is not aborted and continues to work.

Note

如果不指定 —​max-tries 选项,则事务在序列化或死锁错误后绝不会重试,因为其默认值为 1。使用无限次数的尝试 ( —​max-tries=0 ) 和 —​latency-limit 选项仅限制最大尝试时间。您还可以使用 —​time 选项在无限次数尝试的情况下限制基准测试持续时间。

Without specifying the —​max-tries option, a transaction will never be retried after a serialization or deadlock error because its default value is 1. Use an unlimited number of tries (—​max-tries=0) and the —​latency-limit option to limit only the maximum time of tries. You can also use the —​time option to limit the benchmark duration under an unlimited number of tries.

重复包含多个事务的脚本时要小心:脚本总是会完全重试,因此可能多次执行成功的事务。

Be careful when repeating scripts that contain multiple transactions: the script is always retried completely, so successful transactions can be performed several times.

重复带有 shell 命令的事务时要小心。与 SQL 命令的结果不同,shell 命令的结果不会回滚, \setshell 命令的变量值除外。

Be careful when repeating transactions with shell commands. Unlike the results of SQL commands, the results of shell commands are not rolled back, except for the variable value of the \setshell command.

成功事务的延迟包括带有回滚和重试的整个事务执行时间。仅针对成功事务和命令测量延迟,而不针对失败事务或命令测量。

The latency of a successful transaction includes the entire time of transaction execution with rollbacks and retries. The latency is measured only for successful transactions and commands but not for failed transactions or commands.

主要报告包含失败事务数。如果 —​max-tries 选项不等于 1,则主要报告还将包含与重试相关的统计数据:重新尝试的事务总数和重试总数。每脚本报告从主要报告继承所有这些字段。每条语句报告仅在 —​max-tries 选项不等于 1 时显示重试统计。

The main report contains the number of failed transactions. If the —​max-tries option is not equal to 1, the main report also contains statistics related to retries: the total number of retried transactions and total number of retries. The per-script report inherits all these fields from the main report. The per-statement report displays retry statistics only if the —​max-tries option is not equal to 1.

如果希望按基本类型在事务和汇总日志以及主要和每脚本报告中对故障进行分组,请使用 —​failures-detailed 选项。如果您还希望按类型区分所有错误和故障(不重试的错误),包括已超过的重试限制以及对于序列化/死锁故障超出的程度,请使用 —​verbose-errors 选项。

If you want to group failures by basic types in per-transaction and aggregation logs, as well as in the main and per-script reports, use the —​failures-detailed option. If you also want to distinguish all errors and failures (errors without retrying) by type including which limit for retries was exceeded and how much it was exceeded by for the serialization/deadlock failures, use the —​verbose-errors option.

Table Access Methods

您可以为 pgbench 表指定 Table Access Method 。环境变量 PGOPTIONS 指定通过命令行传递给 PostgreSQL 的数据库配置选项(请参阅 Section 20.1.4 )。例如,可以使用以下方式指定 pgbench 创建的表的假定默认表访问方法,称为 wuzza

You may specify the Table Access Method for the pgbench tables. The environment variable PGOPTIONS specifies database configuration options that are passed to PostgreSQL via the command line (See Section 20.1.4). For example, a hypothetical default Table Access Method for the tables that pgbench creates called wuzza can be specified with:

PGOPTIONS='-c default_table_access_method=wuzza'

Good Practices

使用 pgbench 生成毫无意义的数字非常容易。以下是一些帮助您获得有用结果的指南。

It is very easy to use pgbench to produce completely meaningless numbers. Here are some guidelines to help you get useful results.

首先, never 相信仅运行几秒钟的任何测试。使用 -t-T 选项让运行时间至少持续几分钟,以便消除干扰因素。在某些情况下,您可能需要几个小时才能获得可再现的数字。最好尝试运行测试几次,以找出您的数字是否可重现。

In the first place, never believe any test that runs for only a few seconds. Use the -t or -T option to make the run last at least a few minutes, so as to average out noise. In some cases you could need hours to get numbers that are reproducible. It’s a good idea to try the test run a few times, to find out if your numbers are reproducible or not.

对于默认的 TPC-B 类测试场景,初始化比例因子 ( -s ) 应至少与您打算测试的最大客户端数 ( -c ) 一样大;否则,您将主要测量更新争用。 pgbench_branches 表中只有 -s 行,并且每笔事务都希望更新其中一行,因此 -c 超过 -s 的值无疑会导致大量事务被阻止,等待其他事务。

For the default TPC-B-like test scenario, the initialization scale factor (-s) should be at least as large as the largest number of clients you intend to test (-c); else you’ll mostly be measuring update contention. There are only -s rows in the pgbench_branches table, and every transaction wants to update one of them, so -c values in excess of -s will undoubtedly result in lots of transactions blocked waiting for other transactions.

默认测试场景对于表的初始化时间也相当敏感:表中累积的死行和死空间会改变结果。为理解结果,您必须跟踪更新总数以及何时发生真空。如果启用了自动真空,则会导致测量性能发生不可预测的变化。

The default test scenario is also quite sensitive to how long it’s been since the tables were initialized: accumulation of dead rows and dead space in the tables changes the results. To understand the results you must keep track of the total number of updates and when vacuuming happens. If autovacuum is enabled it can result in unpredictable changes in measured performance.

pgbench 的一个限制是,它本身在尝试测试大量客户端会话时会成为瓶颈。可以通过在与数据库服务器不同的机器上运行 pgbench 来缓解此问题,尽管低网络延迟至关重要。甚至可以在同一数据库服务器上在多个客户端机器上并发运行多个 pgbench 实例。

A limitation of pgbench is that it can itself become the bottleneck when trying to test a large number of client sessions. This can be alleviated by running pgbench on a different machine from the database server, although low network latency will be essential. It might even be useful to run several pgbench instances concurrently, on several client machines, against the same database server.

Security

如果不可信用户可以访问尚未采用 secure schema usage pattern 的数据库,请勿在该数据库中运行 pgbench。pgbench 使用不合格的名称,不操纵搜索路径。

If untrusted users have access to a database that has not adopted a secure schema usage pattern, do not run pgbench in that database. pgbench uses unqualified names and does not manipulate the search path.