pgbench: Function to generate random permutations.

This adds a new function, permute(), that generates pseudorandom
permutations of arbitrary sizes. This can be used to randomly shuffle
a set of values to remove unwanted correlations. For example,
permuting the output from a non-uniform random distribution so that
all the most common values aren't collocated, allowing more realistic
tests to be performed.

Formerly, hash() was recommended for this purpose, but that suffers
from collisions that might alter the distribution, so recommend
permute() for this purpose instead.

Fabien Coelho and Hironobu Suzuki, with additional hacking be me.
Reviewed by Thomas Munro, Alvaro Herrera and Muhammad Usama.

Discussion: https://postgr.es/m/alpine.DEB.2.21.1807280944370.5142@lancre

Author: deanrasheed

doc/src/sgml/ref/pgbench.sgml

@@ -1057,7 +1057,7 @@ pgbench <optional> <replaceable>options</replaceable> </optional> <replaceable>d
 
       <row>
        <entry> <literal>default_seed</literal> </entry>
-       <entry>seed used in hash functions by default</entry>
+       <entry>seed used in hash and pseudorandom permutation functions by default</entry>
       </row>
 
       <row>
@@ -1864,6 +1864,24 @@ SELECT 4 AS four \; SELECT 5 AS five \aset
        </para></entry>
       </row>
 
+      <row>
+       <entry role="func_table_entry"><para role="func_signature">
+        <function>permute</function> ( <parameter>i</parameter>, <parameter>size</parameter> [, <parameter>seed</parameter> ] )
+        <returnvalue>integer</returnvalue>
+       </para>
+       <para>
+        Permuted value of <parameter>i</parameter>, in the range
+        <literal>[0, size)</literal>.  This is the new position of
+        <parameter>i</parameter> (modulo <parameter>size</parameter>) in a
+        pseudorandom permutation of the integers <literal>0...size-1</literal>,
+        parameterized by <parameter>seed</parameter>, see below.
+       </para>
+       <para>
+        <literal>permute(0, 4)</literal>
+        <returnvalue>an integer between 0 and 3</returnvalue>
+       </para></entry>
+      </row>
+
       <row>
        <entry role="func_table_entry"><para role="func_signature">
         <function>pi</function> ()
@@ -2071,29 +2089,70 @@ f(x) = PHI(2.0 * parameter * (x - mu) / (max - min + 1)) /
     </listitem>
    </itemizedlist>
 
+   <note>
+    <para>
+      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.
+    </para>
+    <para>
+      To avoid this, you may wish to use the <function>permute</function>
+      function, or some other additional step with similar effect, to shuffle
+      the selected rows and remove such correlations.
+    </para>
+   </note>
+
   <para>
     Hash functions <literal>hash</literal>, <literal>hash_murmur2</literal> and
     <literal>hash_fnv1a</literal> accept an input value and an optional seed parameter.
     In case the seed isn't provided the value of <literal>:default_seed</literal>
     is used, which is initialized randomly unless set by the command-line
-    <literal>-D</literal> option. Hash functions can be used to scatter the
-    distribution of random functions such as <literal>random_zipfian</literal> or
-    <literal>random_exponential</literal>. For instance, the following pgbench
-    script simulates possible real world workload typical for social media and
-    blogging platforms where few accounts generate excessive load:
+    <literal>-D</literal> option.
+  </para>
+
+  <para>
+    <literal>permute</literal> accepts an input value, a size, and an optional
+    seed parameter.  It generates a pseudorandom permutation of integers in
+    the range <literal>[0, size)</literal>, and returns the index of the input
+    value in the permuted values.  The permutation chosen is parameterized by
+    the seed, which defaults to <literal>:default_seed</literal>, if not
+    specified.  Unlike the hash functions, <literal>permute</literal> 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.  <function>permute</function> can be
+    used to scatter the distribution of non-uniform random functions such as
+    <literal>random_zipfian</literal> or <literal>random_exponential</literal>
+    so that values drawn more often are not trivially correlated.  For
+    instance, the following <application>pgbench</application> script
+    simulates a possible real world workload typical for social media and
+    blogging platforms where a few accounts generate excessive load:
 
 <programlisting>
-\set r random_zipfian(0, 100000000, 1.07)
-\set k abs(hash(:r)) % 1000000
+\set size 1000000
+\set r random_zipfian(1, :size, 1.07)
+\set k 1 + permute(:r, :size)
 </programlisting>
 
     In some cases several distinct distributions are needed which don't correlate
-    with each other and this is when implicit seed parameter comes in handy:
+    with each other and this is when the optional seed parameter comes in handy:
 
 <programlisting>
-\set k1 abs(hash(:r, :default_seed + 123)) % 1000000
-\set k2 abs(hash(:r, :default_seed + 321)) % 1000000
+\set k1 1 + permute(:r, :size, :default_seed + 123)
+\set k2 1 + permute(:r, :size, :default_seed + 321)
 </programlisting>
+
+    A similar behavior can also be approximated with <function>hash</function>:
+
+<programlisting>
+\set size 1000000
+\set r random_zipfian(1, 100 * :size, 1.07)
+\set k 1 + abs(hash(:r)) % :size
+</programlisting>
+
+    However, since <function>hash</function> generates collisions, some values
+    will not be reachable and others will be more frequent than expected from
+    the original distribution.
   </para>
 
   <para>

src/bin/pgbench/exprparse.y

@@ -19,6 +19,7 @@
 #define PGBENCH_NARGS_VARIABLE	(-1)
 #define PGBENCH_NARGS_CASE		(-2)
 #define PGBENCH_NARGS_HASH		(-3)
+#define PGBENCH_NARGS_PERMUTE	(-4)
 
 PgBenchExpr *expr_parse_result;
 
@@ -370,6 +371,9 @@ static const struct
 	{
 		"hash_fnv1a", PGBENCH_NARGS_HASH, PGBENCH_HASH_FNV1A
 	},
+	{
+		"permute", PGBENCH_NARGS_PERMUTE, PGBENCH_PERMUTE
+	},
 	/* keep as last array element */
 	{
 		NULL, 0, 0
@@ -482,6 +486,19 @@ make_func(yyscan_t yyscanner, int fnumber, PgBenchExprList *args)
 			}
 			break;
 
+		/* pseudorandom permutation function with optional seed argument */
+		case PGBENCH_NARGS_PERMUTE:
+			if (len < 2 || len > 3)
+				expr_yyerror_more(yyscanner, "unexpected number of arguments",
+								  PGBENCH_FUNCTIONS[fnumber].fname);
+
+			if (len == 2)
+			{
+				PgBenchExpr *var = make_variable("default_seed");
+				args = make_elist(var, args);
+			}
+			break;
+
 		/* common case: positive arguments number */
 		default:
 			Assert(PGBENCH_FUNCTIONS[fnumber].nargs >= 0);

src/bin/pgbench/pgbench.c

@@ -66,6 +66,7 @@
 #include "getopt_long.h"
 #include "libpq-fe.h"
 #include "pgbench.h"
+#include "port/pg_bitutils.h"
 #include "portability/instr_time.h"
 
 #ifndef M_PI
@@ -1127,6 +1128,113 @@ getHashMurmur2(int64 val, uint64 seed)
 	return (int64) result;
 }
 
+/*
+ * Pseudorandom permutation function
+ *
+ * For small sizes, this generates each of the (size!) possible permutations
+ * of integers in the range [0, size) with roughly equal probability.  Once
+ * the size is larger than 20, the number of possible permutations exceeds the
+ * number of distinct states of the internal pseudorandom number generators,
+ * and so not all possible permutations can be generated, but the permutations
+ * chosen should continue to give the appearance of being random.
+ *
+ * THIS FUNCTION IS NOT CRYPTOGRAPHICALLY SECURE.
+ * DO NOT USE FOR SUCH PURPOSE.
+ */
+static int64
+permute(const int64 val, const int64 isize, const int64 seed)
+{
+	RandomState random_state1;
+	RandomState random_state2;
+	uint64		size;
+	uint64		v;
+	int			masklen;
+	uint64		mask;
+	int			i;
+
+	if (isize < 2)
+		return 0;				/* nothing to permute */
+
+	/* Initialize a pair of random states using the seed */
+	random_state1.xseed[0] = seed & 0xFFFF;
+	random_state1.xseed[1] = (seed >> 16) & 0xFFFF;
+	random_state1.xseed[2] = (seed >> 32) & 0xFFFF;
+
+	random_state2.xseed[0] = (((uint64) seed) >> 48) & 0xFFFF;
+	random_state2.xseed[1] = seed & 0xFFFF;
+	random_state2.xseed[2] = (seed >> 16) & 0xFFFF;
+
+	/* Computations are performed on unsigned values */
+	size = (uint64) isize;
+	v = (uint64) val % size;
+
+	/* Mask to work modulo largest power of 2 less than or equal to size */
+	masklen = pg_leftmost_one_pos64(size);
+	mask = (((uint64) 1) << masklen) - 1;
+
+	/*
+	 * Permute the input value by applying several rounds of pseudorandom
+	 * bijective transformations.  The intention here is to distribute each
+	 * input uniformly randomly across the range, and separate adjacent inputs
+	 * approximately uniformly randomly from each other, leading to a fairly
+	 * random overall choice of permutation.
+	 *
+	 * To separate adjacent inputs, we multiply by a random number modulo
+	 * (mask + 1), which is a power of 2.  For this to be a bijection, the
+	 * multiplier must be odd.  Since this is known to lead to less randomness
+	 * in the lower bits, we also apply a rotation that shifts the topmost bit
+	 * into the least significant bit.  In the special cases where size <= 3,
+	 * mask = 1 and each of these operations is actually a no-op, so we also
+	 * XOR the value with a different random number to inject additional
+	 * randomness.  Since the size is generally not a power of 2, we apply
+	 * this bijection on overlapping upper and lower halves of the input.
+	 *
+	 * To distribute the inputs uniformly across the range, we then also apply
+	 * a random offset modulo the full range.
+	 *
+	 * Taken together, these operations resemble a modified linear
+	 * congruential generator, as is commonly used in pseudorandom number
+	 * generators.  The number of rounds is fairly arbitrary, but six has been
+	 * found empirically to give a fairly good tradeoff between performance
+	 * and uniform randomness.  For small sizes it selects each of the (size!)
+	 * possible permutations with roughly equal probability.  For larger
+	 * sizes, not all permutations can be generated, but the intended random
+	 * spread is still produced.
+	 */
+	for (i = 0; i < 6; i++)
+	{
+		uint64		m,
+					r,
+					t;
+
+		/* Random multiply (by an odd number), XOR and rotate of lower half */
+		m = (uint64) getrand(&random_state1, 0, mask) | 1;
+		r = (uint64) getrand(&random_state2, 0, mask);
+		if (v <= mask)
+		{
+			v = ((v * m) ^ r) & mask;
+			v = ((v << 1) & mask) | (v >> (masklen - 1));
+		}
+
+		/* Random multiply (by an odd number), XOR and rotate of upper half */
+		m = (uint64) getrand(&random_state1, 0, mask) | 1;
+		r = (uint64) getrand(&random_state2, 0, mask);
+		t = size - 1 - v;
+		if (t <= mask)
+		{
+			t = ((t * m) ^ r) & mask;
+			t = ((t << 1) & mask) | (t >> (masklen - 1));
+			v = size - 1 - t;
+		}
+
+		/* Random offset */
+		r = (uint64) getrand(&random_state2, 0, size - 1);
+		v = (v + r) % size;
+	}
+
+	return (int64) v;
+}
+
 /*
  * Initialize the given SimpleStats struct to all zeroes
  */
@@ -2475,6 +2583,29 @@ evalStandardFunc(CState *st,
 				return true;
 			}
 
+		case PGBENCH_PERMUTE:
+			{
+				int64		val,
+							size,
+							seed;
+
+				Assert(nargs == 3);
+
+				if (!coerceToInt(&vargs[0], &val) ||
+					!coerceToInt(&vargs[1], &size) ||
+					!coerceToInt(&vargs[2], &seed))
+					return false;
+
+				if (size <= 0)
+				{
+					pg_log_error("permute size parameter must be greater than zero");
+					return false;
+				}
+
+				setIntValue(retval, permute(val, size, seed));
+				return true;
+			}
+
 		default:
 			/* cannot get here */
 			Assert(0);

src/bin/pgbench/pgbench.h

@@ -99,7 +99,8 @@ typedef enum PgBenchFunction
 	PGBENCH_IS,
 	PGBENCH_CASE,
 	PGBENCH_HASH_FNV1A,
-	PGBENCH_HASH_MURMUR2
+	PGBENCH_HASH_MURMUR2,
+	PGBENCH_PERMUTE
 } PgBenchFunction;
 
 typedef struct PgBenchExpr PgBenchExpr;

src/bin/pgbench/t/001_pgbench_with_server.pl

@@ -4,6 +4,7 @@
 use PostgresNode;
 use TestLib;
 use Test::More;
+use Config;
 
 # start a pgbench specific server
 my $node = get_new_node('main');
@@ -483,6 +484,17 @@ sub pgbench
 		qr{command=98.: int 5432\b},                    # :random_seed
 		qr{command=99.: int -9223372036854775808\b},    # min int
 		qr{command=100.: int 9223372036854775807\b},    # max int
+		# pseudorandom permutation tests
+		qr{command=101.: boolean true\b},
+		qr{command=102.: boolean true\b},
+		qr{command=103.: boolean true\b},
+		qr{command=104.: boolean true\b},
+		qr{command=105.: boolean true\b},
+		qr{command=109.: boolean true\b},
+		qr{command=110.: boolean true\b},
+		qr{command=111.: boolean true\b},
+		qr{command=112.: int 9223372036854775797\b},
+		qr{command=113.: boolean true\b},
 	],
 	'pgbench expressions',
 	{
@@ -610,6 +622,33 @@ sub pgbench
 -- minint constant parsing
 \set min debug(-9223372036854775808)
 \set max debug(-(:min + 1))
+-- parametric pseudorandom permutation function
+\set t debug(permute(0, 2) + permute(1, 2) = 1)
+\set t debug(permute(0, 3) + permute(1, 3) + permute(2, 3) = 3)
+\set t debug(permute(0, 4) + permute(1, 4) + permute(2, 4) + permute(3, 4) = 6)
+\set t debug(permute(0, 5) + permute(1, 5) + permute(2, 5) + permute(3, 5) + permute(4, 5) = 10)
+\set t debug(permute(0, 16) + permute(1, 16) + permute(2, 16) + permute(3, 16) + \
+             permute(4, 16) + permute(5, 16) + permute(6, 16) + permute(7, 16) + \
+             permute(8, 16) + permute(9, 16) + permute(10, 16) + permute(11, 16) + \
+             permute(12, 16) + permute(13, 16) + permute(14, 16) + permute(15, 16) = 120)
+-- random sanity checks
+\set size random(2, 1000)
+\set v random(0, :size - 1)
+\set p permute(:v, :size)
+\set t debug(0 <= :p and :p < :size and :p = permute(:v + :size, :size) and :p <> permute(:v + 1, :size))
+-- actual values
+\set t debug(permute(:v, 1) = 0)
+\set t debug(permute(0, 2, 5432) = 0 and permute(1, 2, 5432) = 1 and \
+             permute(0, 2, 5435) = 1 and permute(1, 2, 5435) = 0)
+-- 63 bits tests
+\set size debug(:max - 10)
+\set t debug(permute(:size-1, :size, 5432) = 5301702756001087507 and \
+             permute(:size-2, :size, 5432) = 8968485976055840695 and \
+             permute(:size-3, :size, 5432) = 6708495591295582115 and \
+             permute(:size-4, :size, 5432) = 2801794404574855121 and \
+             permute(:size-5, :size, 5432) = 1489011409218895840 and \
+             permute(:size-6, :size, 5432) = 2267749475878240183 and \
+             permute(:size-7, :size, 5432) = 1300324176838786780)
 }
 	});
 
@@ -1048,6 +1087,10 @@ sub pgbench
 		'bad boolean',                     2,
 		[qr{malformed variable.*trueXXX}], q{\set b :badtrue or true}
 	],
+	[
+		'invalid permute size',				2,
+		[qr{permute size parameter must be greater than zero}], q{\set i permute(0, 0)}
+	],
 
 	# GSET
 	[