Please find attached an updated version "v13" for this patch.
I have (I hope) significanlty improved the documentation, including not so helpful mathematical explanation about the actual meaning of the threshold value. If a native English speaker could check the documentation, it would be nice!
I have improved the implementation of the exponential distribution so as to avoid a loop, which allows to lift the minimum threshold value constraint, and the exponential pgbench summary displays decile and first/last percent drawing probabilities. However, the same simplification cannot be applied on the gaussian distribution part which must rely on a loop, thus needs a minimal threshold for performance. I have also checked (see the 4 attached scripts) the actual distribution against the computed probabilities.
I disagree with the suggestion to remove the included gaussian & exponential tests variants, because (1) it would mean removing the specific summaries as well, which are essential to help feel how the feature works; (2) the corresponding code in the source is rather straightforward; (3) the tests correspond to the schema and data created with -i, so it makes sense that they are stored in pgbench; (4) in order for this feature to be used, it is best that it is available directly and simply from pgbench, and not to be thought for elsewhere.
If this is a commit blocker, then the embedded script will have to be removed, but I really think that they add a significant value to pgbench and its "non uniform" features because they make it easy to test.
If Mitsumasa-san aggrees with these proposed changes, I would suggest to apply this patch. -- Fabien
diff --git a/contrib/pgbench/pgbench.c b/contrib/pgbench/pgbench.c
index 7c1e59e..eb1ecb3 100644
--- a/contrib/pgbench/pgbench.c
+++ b/contrib/pgbench/pgbench.c
@@ -41,6 +41,7 @@
#include <math.h>
#include <signal.h>
#include <sys/time.h>
+#include <assert.h>
#ifdef HAVE_SYS_SELECT_H
#include <sys/select.h>
#endif
@@ -98,6 +99,8 @@ static int pthread_join(pthread_t th, void **thread_return);
#define LOG_STEP_SECONDS 5 /* seconds between log messages */
#define DEFAULT_NXACTS 10 /* default nxacts */
+#define MIN_GAUSSIAN_THRESHOLD 2.0 /* minimum threshold for gauss */
+
int nxacts = 0; /* number of transactions per client */
int duration = 0; /* duration in seconds */
@@ -169,6 +172,14 @@ bool is_connect; /* establish connection for each transaction */
bool is_latencies; /* report per-command latencies */
int main_pid; /* main process id used in log filename */
+/* gaussian distribution tests: */
+double stdev_threshold; /* standard deviation threshold */
+bool use_gaussian = false;
+
+/* exponential distribution tests: */
+double exp_threshold; /* threshold for exponential */
+bool use_exponential = false;
+
char *pghost = "";
char *pgport = "";
char *login = NULL;
@@ -330,6 +341,88 @@ static char *select_only = {
"SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
};
+/* --exponential case */
+static char *exponential_tpc_b = {
+ "\\set nbranches " CppAsString2(nbranches) " * :scale\n"
+ "\\set ntellers " CppAsString2(ntellers) " * :scale\n"
+ "\\set naccounts " CppAsString2(naccounts) " * :scale\n"
+ "\\setrandom aid 1 :naccounts exponential :exp_threshold\n"
+ "\\setrandom bid 1 :nbranches\n"
+ "\\setrandom tid 1 :ntellers\n"
+ "\\setrandom delta -5000 5000\n"
+ "BEGIN;\n"
+ "UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;\n"
+ "SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
+ "UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;\n"
+ "UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;\n"
+ "INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);\n"
+ "END;\n"
+};
+
+/* --exponential with -N case */
+static char *exponential_simple_update = {
+ "\\set nbranches " CppAsString2(nbranches) " * :scale\n"
+ "\\set ntellers " CppAsString2(ntellers) " * :scale\n"
+ "\\set naccounts " CppAsString2(naccounts) " * :scale\n"
+ "\\setrandom aid 1 :naccounts exponential :exp_threshold\n"
+ "\\setrandom bid 1 :nbranches\n"
+ "\\setrandom tid 1 :ntellers\n"
+ "\\setrandom delta -5000 5000\n"
+ "BEGIN;\n"
+ "UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;\n"
+ "SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
+ "INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);\n"
+ "END;\n"
+};
+
+/* --exponential with -S case */
+static char *exponential_select_only = {
+ "\\set naccounts " CppAsString2(naccounts) " * :scale\n"
+ "\\setrandom aid 1 :naccounts exponential :exp_threshold\n"
+ "SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
+};
+
+/* --gaussian case */
+static char *gaussian_tpc_b = {
+ "\\set nbranches " CppAsString2(nbranches) " * :scale\n"
+ "\\set ntellers " CppAsString2(ntellers) " * :scale\n"
+ "\\set naccounts " CppAsString2(naccounts) " * :scale\n"
+ "\\setrandom aid 1 :naccounts gaussian :stdev_threshold\n"
+ "\\setrandom bid 1 :nbranches\n"
+ "\\setrandom tid 1 :ntellers\n"
+ "\\setrandom delta -5000 5000\n"
+ "BEGIN;\n"
+ "UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;\n"
+ "SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
+ "UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;\n"
+ "UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;\n"
+ "INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);\n"
+ "END;\n"
+};
+
+/* --gaussian with -N case */
+static char *gaussian_simple_update = {
+ "\\set nbranches " CppAsString2(nbranches) " * :scale\n"
+ "\\set ntellers " CppAsString2(ntellers) " * :scale\n"
+ "\\set naccounts " CppAsString2(naccounts) " * :scale\n"
+ "\\setrandom aid 1 :naccounts gaussian :stdev_threshold\n"
+ "\\setrandom bid 1 :nbranches\n"
+ "\\setrandom tid 1 :ntellers\n"
+ "\\setrandom delta -5000 5000\n"
+ "BEGIN;\n"
+ "UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;\n"
+ "SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
+ "INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);\n"
+ "END;\n"
+};
+
+/* --gaussian with -S case */
+static char *gaussian_select_only = {
+ "\\set naccounts " CppAsString2(naccounts) " * :scale\n"
+ "\\setrandom aid 1 :naccounts gaussian :stdev_threshold\n"
+ "SELECT abalance FROM pgbench_accounts WHERE aid = :aid;\n"
+};
+
/* Function prototypes */
static void setalarm(int seconds);
static void *threadRun(void *arg);
@@ -373,6 +466,8 @@ usage(void)
" -v, --vacuum-all vacuum all four standard tables before tests\n"
" --aggregate-interval=NUM aggregate data over NUM seconds\n"
" --sampling-rate=NUM fraction of transactions to log (e.g. 0.01 for 1%%)\n"
+ " --exponential=NUM exponential distribution with NUM threshold parameter\n"
+ " --gaussian=NUM gaussian distribution with NUM threshold parameter\n"
"\nCommon options:\n"
" -d, --debug print debugging output\n"
" -h, --host=HOSTNAME database server host or socket directory\n"
@@ -469,6 +564,73 @@ getrand(TState *thread, int64 min, int64 max)
return min + (int64) ((max - min + 1) * pg_erand48(thread->random_state));
}
+/* random number generator: exponential distribution from min to max inclusive.
+ * the threshold is so that the density of probability for the last cut-off max
+ * value is exp(-exp_threshold).
+ */
+static int64
+getExponentialrand(TState *thread, int64 min, int64 max, double exp_threshold)
+{
+ double cut, uniform, rand;
+ assert(exp_threshold > 0.0);
+ cut = exp(-exp_threshold);
+ /* erand in [0, 1), uniform in (0, 1] */
+ uniform = 1.0 - pg_erand48(thread->random_state);
+ /* inner expresion in (cut, 1] (if exp_threshold > 0),
+ * rand in [0, 1)
+ */
+ assert((1.0 - cut) != 0.0);
+ rand = - log(cut + (1.0 - cut) * uniform) / exp_threshold;
+ /* return int64 random number within between min and max */
+ return min + (int64)((max - min + 1) * rand);
+}
+
+/* random number generator: gaussian distribution from min to max inclusive */
+static int64
+getGaussianrand(TState *thread, int64 min, int64 max, double stdev_threshold)
+{
+ double stdev;
+ double rand;
+
+ /*
+ * Get user specified random number from this loop, with
+ * -stdev_threshold < stdev <= stdev_threshold
+ *
+ * This loop is executed until the number is in the expected range.
+ *
+ * As the minimum threshold is 2.0, the probability of looping is low:
+ * sqrt(-2 ln(r)) <= 2 => r >= e^{-2} ~ 0.135, then when taking the average
+ * sinus multiplier as 2/pi, we have a 8.6% looping probability in the
+ * worst case. For a 5.0 threshold value, the looping proability
+ * is about e^{-5} * 2 / pi ~ 0.43%.
+ */
+ do
+ {
+ /*
+ * pg_erand48 generates [0,1), but for the basic version of the
+ * Box-Muller transform the two uniformly distributed random numbers
+ * are expected in (0, 1] (see http://en.wikipedia.org/wiki/Box_muller)
+ */
+ double rand1 = 1.0 - pg_erand48(thread->random_state);
+ double rand2 = 1.0 - pg_erand48(thread->random_state);
+
+ /* Box-Muller basic form transform */
+ double var_sqrt = sqrt(-2.0 * log(rand1));
+ stdev = var_sqrt * sin(2.0 * M_PI * rand2);
+
+ /* we may try with cos, but there may be a bias induced if the previous
+ * value fails the test? To be on the safe side, let us try over.
+ */
+ }
+ while (stdev < -stdev_threshold || stdev >= stdev_threshold);
+
+ /* stdev is in [-threshold, threshold), normalization to [0,1) */
+ rand = (stdev + stdev_threshold) / (stdev_threshold * 2.0);
+
+ /* return int64 random number within between min and max */
+ return min + (int64)((max - min + 1) * rand);
+}
+
/* call PQexec() and exit() on failure */
static void
executeStatement(PGconn *con, const char *sql)
@@ -1312,6 +1474,7 @@ top:
char *var;
int64 min,
max;
+ double threshold = 0;
char res[64];
if (*argv[2] == ':')
@@ -1357,11 +1520,11 @@ top:
}
/*
- * getrand() needs to be able to subtract max from min and add one
- * to the result without overflowing. Since we know max > min, we
- * can detect overflow just by checking for a negative result. But
- * we must check both that the subtraction doesn't overflow, and
- * that adding one to the result doesn't overflow either.
+ * Generate random number functions need to be able to subtract
+ * max from min and add one to the result without overflowing.
+ * Since we know max > min, we can detect overflow just by checking
+ * for a negative result. But we must check both that the subtraction
+ * doesn't overflow, and that adding one to the result doesn't overflow either.
*/
if (max - min < 0 || (max - min) + 1 < 0)
{
@@ -1370,10 +1533,63 @@ top:
return true;
}
+ if (argc == 4) /* uniform */
+ {
+#ifdef DEBUG
+ printf("min: " INT64_FORMAT " max: " INT64_FORMAT " random: " INT64_FORMAT "\n", min, max, getrand(thread, min, max));
+#endif
+ snprintf(res, sizeof(res), INT64_FORMAT, getrand(thread, min, max));
+ }
+ else if ((pg_strcasecmp(argv[4], "gaussian") == 0) ||
+ (pg_strcasecmp(argv[4], "exponential") == 0))
+ {
+ if (*argv[5] == ':')
+ {
+ if ((var = getVariable(st, argv[5] + 1)) == NULL)
+ {
+ fprintf(stderr, "%s: invalid threshold number %s\n", argv[0], argv[5]);
+ st->ecnt++;
+ return true;
+ }
+ threshold = strtod(var, NULL);
+ }
+ else
+ threshold = strtod(argv[5], NULL);
+
+ if (pg_strcasecmp(argv[4], "gaussian") == 0)
+ {
+ if (threshold < MIN_GAUSSIAN_THRESHOLD)
+ {
+ fprintf(stderr, "%s: gaussian threshold must be more than %f\n,", argv[5], MIN_GAUSSIAN_THRESHOLD);
+ st->ecnt++;
+ return true;
+ }
+#ifdef DEBUG
+ printf("min: " INT64_FORMAT " max: " INT64_FORMAT " random: " INT64_FORMAT "\n", min, max, getGaussianrand(thread, min, max, threshold));
+#endif
+ snprintf(res, sizeof(res), INT64_FORMAT, getGaussianrand(thread, min, max, threshold));
+ }
+ else if (pg_strcasecmp(argv[4], "exponential") == 0)
+ {
+ if (threshold <= 0.0)
+ {
+ fprintf(stderr, "%s: exponential threshold must be strictly positive\n,", argv[5]);
+ st->ecnt++;
+ return true;
+ }
+#ifdef DEBUG
+ printf("min: " INT64_FORMAT " max: " INT64_FORMAT " random: " INT64_FORMAT "\n", min, max, getExponentialrand(thread, min, max, threshold));
+#endif
+ snprintf(res, sizeof(res), INT64_FORMAT, getExponentialrand(thread, min, max, threshold));
+ }
+ }
+ else /* uniform with extra arguments */
+ {
#ifdef DEBUG
- printf("min: " INT64_FORMAT " max: " INT64_FORMAT " random: " INT64_FORMAT "\n", min, max, getrand(thread, min, max));
+ printf("min: " INT64_FORMAT " max: " INT64_FORMAT " random: " INT64_FORMAT "\n", min, max, getrand(thread, min, max));
#endif
- snprintf(res, sizeof(res), INT64_FORMAT, getrand(thread, min, max));
+ snprintf(res, sizeof(res), INT64_FORMAT, getrand(thread, min, max));
+ }
if (!putVariable(st, argv[0], argv[1], res))
{
@@ -1903,9 +2119,34 @@ process_commands(char *buf)
exit(1);
}
- for (j = 4; j < my_commands->argc; j++)
- fprintf(stderr, "%s: extra argument \"%s\" ignored\n",
- my_commands->argv[0], my_commands->argv[j]);
+ if (my_commands->argc == 4 ) /* uniform */
+ {
+ /* nothing to do */
+ }
+ else if ((pg_strcasecmp(my_commands->argv[4], "gaussian") == 0) ||
+ (pg_strcasecmp(my_commands->argv[4], "exponential") == 0))
+ {
+ if (my_commands->argc < 6)
+ {
+ fprintf(stderr, "%s(%s): missing argument\n", my_commands->argv[0], my_commands->argv[4]);
+ exit(1);
+ }
+
+ for (j = 6; j < my_commands->argc; j++)
+ fprintf(stderr, "%s(%s): extra argument \"%s\" ignored\n",
+ my_commands->argv[0], my_commands->argv[4], my_commands->argv[j]);
+ }
+ else /* uniform with extra argument */
+ {
+ int arg_pos = 4;
+
+ if (pg_strcasecmp(my_commands->argv[4], "uniform") == 0)
+ arg_pos++;
+
+ for (j = arg_pos; j < my_commands->argc; j++)
+ fprintf(stderr, "%s(uniform): extra argument \"%s\" ignored\n",
+ my_commands->argv[0], my_commands->argv[j]);
+ }
}
else if (pg_strcasecmp(my_commands->argv[0], "set") == 0)
{
@@ -2161,6 +2402,17 @@ process_builtin(char *tb)
return my_commands;
}
+/* compute the probability of the truncated exponential random generation
+ * to draw values in the i-th slot of the range.
+ */
+static double exponentialProbability(int i, int slots, double threshold)
+{
+ assert(1 <= i && i <= slots);
+ return (exp(- threshold * (i-1) / slots) - exp(- threshold * i / slots)) /
+ (1.0 - exp(- threshold));
+}
+
+
/* print out results */
static void
printResults(int ttype, int normal_xacts, int nclients,
@@ -2180,16 +2432,62 @@ printResults(int ttype, int normal_xacts, int nclients,
(INSTR_TIME_GET_DOUBLE(conn_total_time) / nthreads));
if (ttype == 0)
- s = "TPC-B (sort of)";
+ {
+ if (use_gaussian)
+ s = "Gaussian distribution TPC-B (sort of)";
+ else if (use_exponential)
+ s = "Exponential distribution TPC-B (sort of)";
+ else
+ s = "TPC-B (sort of)";
+ }
else if (ttype == 2)
- s = "Update only pgbench_accounts";
+ {
+ if (use_gaussian)
+ s = "Gaussian distribution update only pgbench_accounts";
+ else if (use_exponential)
+ s = "Exponential distribution update only pgbench_accounts";
+ else
+ s = "Update only pgbench_accounts";
+ }
else if (ttype == 1)
- s = "SELECT only";
+ {
+ if (use_gaussian)
+ s = "Gaussian distribution SELECT only";
+ else if (use_exponential)
+ s = "Exponential distribution SELECT only";
+ else
+ s = "SELECT only";
+ }
else
s = "Custom query";
printf("transaction type: %s\n", s);
printf("scaling factor: %d\n", scale);
+
+ /* output in gaussian distribution benchmark */
+ if (use_gaussian)
+ {
+ printf("standard deviation threshold: %.5f\n", stdev_threshold);
+ printf("access probability of top 20%%, 10%% and 5%% records: %.5f %.5f %.5f\n",
+ (double) ((erf (stdev_threshold * 0.2 / sqrt(2.0))) / (erf (stdev_threshold / sqrt(2.0)))),
+ (double) ((erf (stdev_threshold * 0.1 / sqrt(2.0))) / (erf (stdev_threshold / sqrt(2.0)))),
+ (double) ((erf (stdev_threshold * 0.05 / sqrt(2.0))) / (erf (stdev_threshold / sqrt(2.0)))));
+ }
+ /* output in exponential distribution benchmark */
+ else if (use_exponential)
+ {
+ int i;
+ printf("exponential threshold: %.5f\n", exp_threshold);
+ printf("decile percents:");
+ for (i = 1; i <= 10; i++)
+ printf(" %.1f%%",
+ 100.0 * exponentialProbability(i, 10, exp_threshold));
+ printf("\n");
+ printf("highest/lowest percent of the range: %.1f%% %.1f%%\n",
+ 100.0 * exponentialProbability(1, 100, exp_threshold),
+ 100.0 * exponentialProbability(100, 100, exp_threshold));
+ }
+
printf("query mode: %s\n", QUERYMODE[querymode]);
printf("number of clients: %d\n", nclients);
printf("number of threads: %d\n", nthreads);
@@ -2319,6 +2617,8 @@ main(int argc, char **argv)
{"unlogged-tables", no_argument, &unlogged_tables, 1},
{"sampling-rate", required_argument, NULL, 4},
{"aggregate-interval", required_argument, NULL, 5},
+ {"gaussian", required_argument, NULL, 6},
+ {"exponential", required_argument, NULL, 7},
{"rate", required_argument, NULL, 'R'},
{NULL, 0, NULL, 0}
};
@@ -2598,6 +2898,25 @@ main(int argc, char **argv)
}
#endif
break;
+ case 6:
+ use_gaussian = true;
+ stdev_threshold = atof(optarg);
+ if(stdev_threshold < MIN_GAUSSIAN_THRESHOLD)
+ {
+ fprintf(stderr, "--gaussian=NUM must be more than %f: %f\n",
+ MIN_GAUSSIAN_THRESHOLD, stdev_threshold);
+ exit(1);
+ }
+ break;
+ case 7:
+ use_exponential = true;
+ exp_threshold = atof(optarg);
+ if(exp_threshold <= 0.0)
+ {
+ fprintf(stderr, "--exponential=NUM must be more 0.0\n");
+ exit(1);
+ }
+ break;
default:
fprintf(stderr, _("Try \"%s --help\" for more information.\n"), progname);
exit(1);
@@ -2795,6 +3114,28 @@ main(int argc, char **argv)
}
}
+ /* set :stdev_threshold variable */
+ if(getVariable(&state[0], "stdev_threshold") == NULL)
+ {
+ snprintf(val, sizeof(val), "%lf", stdev_threshold);
+ for (i = 0; i < nclients; i++)
+ {
+ if (!putVariable(&state[i], "startup", "stdev_threshold", val))
+ exit(1);
+ }
+ }
+
+ /* set :exp_threshold variable */
+ if(getVariable(&state[0], "exp_threshold") == NULL)
+ {
+ snprintf(val, sizeof(val), "%lf", exp_threshold);
+ for (i = 0; i < nclients; i++)
+ {
+ if (!putVariable(&state[i], "startup", "exp_threshold", val))
+ exit(1);
+ }
+ }
+
if (!is_no_vacuum)
{
fprintf(stderr, "starting vacuum...");
@@ -2820,17 +3161,32 @@ main(int argc, char **argv)
switch (ttype)
{
case 0:
- sql_files[0] = process_builtin(tpc_b);
+ if (use_gaussian)
+ sql_files[0] = process_builtin(gaussian_tpc_b);
+ else if (use_exponential)
+ sql_files[0] = process_builtin(exponential_tpc_b);
+ else
+ sql_files[0] = process_builtin(tpc_b);
num_files = 1;
break;
case 1:
- sql_files[0] = process_builtin(select_only);
+ if (use_gaussian)
+ sql_files[0] = process_builtin(gaussian_select_only);
+ else if (use_exponential)
+ sql_files[0] = process_builtin(exponential_select_only);
+ else
+ sql_files[0] = process_builtin(select_only);
num_files = 1;
break;
case 2:
- sql_files[0] = process_builtin(simple_update);
+ if (use_gaussian)
+ sql_files[0] = process_builtin(gaussian_simple_update);
+ else if (use_exponential)
+ sql_files[0] = process_builtin(exponential_simple_update);
+ else
+ sql_files[0] = process_builtin(simple_update);
num_files = 1;
break;
diff --git a/doc/src/sgml/pgbench.sgml b/doc/src/sgml/pgbench.sgml
index 4367563..3a561a9 100644
--- a/doc/src/sgml/pgbench.sgml
+++ b/doc/src/sgml/pgbench.sgml
@@ -307,6 +307,21 @@ pgbench <optional> <replaceable>options</> </optional> <replaceable>dbname</>
</varlistentry>
<varlistentry>
+ <term><option>--exponential</option><replaceable>threshold</></term>
+ <listitem>
+ <para>
+ Run exponential distribution pgbench test using this threshold parameter.
+ The threshold controls the distribution of access frequency on the
+ <structname>pgbench_accounts</> table.
+ See the <literal>\setrandom</> documentation below for details about
+ the impact of the threshold value.
+ When set, this option applies to all test variants (<option>-N</> for
+ skipping updates, or <option>-S</> for selects).
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
<term><option>-f</option> <replaceable>filename</></term>
<term><option>--file=</option><replaceable>filename</></term>
<listitem>
@@ -320,6 +335,21 @@ pgbench <optional> <replaceable>options</> </optional> <replaceable>dbname</>
</varlistentry>
<varlistentry>
+ <term><option>--gaussian</option><replaceable>threshold</></term>
+ <listitem>
+ <para>
+ Run gaussian distribution pgbench test using this threshold parameter.
+ The threshold controls the distribution of access frequency on the
+ <structname>pgbench_accounts</> table.
+ See the <literal>\setrandom</> documentation below for details about
+ the impact of the threshold value.
+ When set, this option applies to all test variants (<option>-N</> for
+ skipping updates, or <option>-S</> for selects).
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
<term><option>-j</option> <replaceable>threads</></term>
<term><option>--jobs=</option><replaceable>threads</></term>
<listitem>
@@ -748,8 +778,8 @@ pgbench <optional> <replaceable>options</> </optional> <replaceable>dbname</>
<varlistentry>
<term>
- <literal>\setrandom <replaceable>varname</> <replaceable>min</> <replaceable>max</></literal>
- </term>
+ <literal>\setrandom <replaceable>varname</> <replaceable>min</> <replaceable>max</> [ uniform | [ { gaussian | exponential } <replaceable>threshold</> ] ]</literal>
+ </term>
<listitem>
<para>
@@ -761,9 +791,44 @@ pgbench <optional> <replaceable>options</> </optional> <replaceable>dbname</>
</para>
<para>
+ The default random distribution is uniform. The gaussian and exponential
+ options allow to change the distribution. The mandatory
+ <replaceable>threshold</> double value controls the actual distribution.
+ </para>
+
+ <para>
+ With the gaussian option, the larger the <replaceable>threshold</>,
+ the more frequently values close to the middle of the interval are drawn,
+ and the less frequently values close to the <replaceable>min</> and
+ <replaceable>max</> bounds.
+ In other worlds, the larger the <replaceable>threshold</>,
+ the narrower the access range around the middle.
+ the smaller the threshold, the smoother the access pattern
+ distribution. The minimum threshold is 2.0 for performance.
+ </para>
+
+ <para>
+ With the exponential option, the <replaceable>threshold</> parameter
+ controls the distribution by truncating an exponential distribution at
+ a specific value, and then projecting onto integers between the bounds.
+ To be precise, the <replaceable>threshold</> is so that the density of
+ probability of the exponential distribution at the <replaceable>max</>
+ cut-off value is exp(-threshold), the density at the <replaceable>min</>
+ value being 1.
+ Intuitively, the larger the threshold, the more frequently values close to
+ <replaceable>min</> are accessed, and the less frequently values close to
+ <replaceable>max</> are accessed.
+ A crude approximation of the distribution is that the most frequent 1%
+ values are drawn <replaceable>threshold</>% of the time.
+ The closer to 0.0 the threshold, the flatter (more uniform) the access
+ distribution.
+ The threshold value must be strictly positive with the exponential option.
+ </para>
+
+ <para>
Example:
<programlisting>
-\setrandom aid 1 :naccounts
+\setrandom aid 1 :naccounts gaussian 5.0
</programlisting></para>
</listitem>
</varlistentry>
test-0.sql
Description: application/sql
test-clean.sql
Description: application/sql
test-exp.sql
Description: application/sql
test-show.sql
Description: application/sql
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