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+/*-------------------------------------------------------------------------
+ *
+ * checksum_impl.h
+ * Checksum implementation for data pages.
+ *
+ * This file exists for the benefit of external programs that may wish to
+ * check Postgres page checksums. They can #include this to get the code
+ * referenced by storage/checksum.h. (Note: you may need to redefine
+ * Assert() as empty to compile this successfully externally.)
+ *
+ * Portions Copyright (c) 1996-2020, PostgreSQL Global Development Group
+ * Portions Copyright (c) 1994, Regents of the University of California
+ *
+ * src/include/storage/checksum_impl.h
+ *
+ *-------------------------------------------------------------------------
+ */
+
+/*
+ * The algorithm used to checksum pages is chosen for very fast calculation.
+ * Workloads where the database working set fits into OS file cache but not
+ * into shared buffers can read in pages at a very fast pace and the checksum
+ * algorithm itself can become the largest bottleneck.
+ *
+ * The checksum algorithm itself is based on the FNV-1a hash (FNV is shorthand
+ * for Fowler/Noll/Vo). The primitive of a plain FNV-1a hash folds in data 1
+ * byte at a time according to the formula:
+ *
+ * hash = (hash ^ value) * FNV_PRIME
+ *
+ * FNV-1a algorithm is described at http://www.isthe.com/chongo/tech/comp/fnv/
+ *
+ * PostgreSQL doesn't use FNV-1a hash directly because it has bad mixing of
+ * high bits - high order bits in input data only affect high order bits in
+ * output data. To resolve this we xor in the value prior to multiplication
+ * shifted right by 17 bits. The number 17 was chosen because it doesn't
+ * have common denominator with set bit positions in FNV_PRIME and empirically
+ * provides the fastest mixing for high order bits of final iterations quickly
+ * avalanche into lower positions. For performance reasons we choose to combine
+ * 4 bytes at a time. The actual hash formula used as the basis is:
+ *
+ * hash = (hash ^ value) * FNV_PRIME ^ ((hash ^ value) >> 17)
+ *
+ * The main bottleneck in this calculation is the multiplication latency. To
+ * hide the latency and to make use of SIMD parallelism multiple hash values
+ * are calculated in parallel. The page is treated as a 32 column two
+ * dimensional array of 32 bit values. Each column is aggregated separately
+ * into a partial checksum. Each partial checksum uses a different initial
+ * value (offset basis in FNV terminology). The initial values actually used
+ * were chosen randomly, as the values themselves don't matter as much as that
+ * they are different and don't match anything in real data. After initializing
+ * partial checksums each value in the column is aggregated according to the
+ * above formula. Finally two more iterations of the formula are performed with
+ * value 0 to mix the bits of the last value added.
+ *
+ * The partial checksums are then folded together using xor to form a single
+ * 32-bit checksum. The caller can safely reduce the value to 16 bits
+ * using modulo 2^16-1. That will cause a very slight bias towards lower
+ * values but this is not significant for the performance of the
+ * checksum.
+ *
+ * The algorithm choice was based on what instructions are available in SIMD
+ * instruction sets. This meant that a fast and good algorithm needed to use
+ * multiplication as the main mixing operator. The simplest multiplication
+ * based checksum primitive is the one used by FNV. The prime used is chosen
+ * for good dispersion of values. It has no known simple patterns that result
+ * in collisions. Test of 5-bit differentials of the primitive over 64bit keys
+ * reveals no differentials with 3 or more values out of 100000 random keys
+ * colliding. Avalanche test shows that only high order bits of the last word
+ * have a bias. Tests of 1-4 uncorrelated bit errors, stray 0 and 0xFF bytes,
+ * overwriting page from random position to end with 0 bytes, and overwriting
+ * random segments of page with 0x00, 0xFF and random data all show optimal
+ * 2e-16 false positive rate within margin of error.
+ *
+ * Vectorization of the algorithm requires 32bit x 32bit -> 32bit integer
+ * multiplication instruction. As of 2013 the corresponding instruction is
+ * available on x86 SSE4.1 extensions (pmulld) and ARM NEON (vmul.i32).
+ * Vectorization requires a compiler to do the vectorization for us. For recent
+ * GCC versions the flags -msse4.1 -funroll-loops -ftree-vectorize are enough
+ * to achieve vectorization.
+ *
+ * The optimal amount of parallelism to use depends on CPU specific instruction
+ * latency, SIMD instruction width, throughput and the amount of registers
+ * available to hold intermediate state. Generally, more parallelism is better
+ * up to the point that state doesn't fit in registers and extra load-store
+ * instructions are needed to swap values in/out. The number chosen is a fixed
+ * part of the algorithm because changing the parallelism changes the checksum
+ * result.
+ *
+ * The parallelism number 32 was chosen based on the fact that it is the
+ * largest state that fits into architecturally visible x86 SSE registers while
+ * leaving some free registers for intermediate values. For future processors
+ * with 256bit vector registers this will leave some performance on the table.
+ * When vectorization is not available it might be beneficial to restructure
+ * the computation to calculate a subset of the columns at a time and perform
+ * multiple passes to avoid register spilling. This optimization opportunity
+ * is not used. Current coding also assumes that the compiler has the ability
+ * to unroll the inner loop to avoid loop overhead and minimize register
+ * spilling. For less sophisticated compilers it might be beneficial to
+ * manually unroll the inner loop.
+ */
+
+#include "storage/bufpage.h"
+
+/* number of checksums to calculate in parallel */
+#define N_SUMS 32
+/* prime multiplier of FNV-1a hash */
+#define FNV_PRIME 16777619
+
+/* Use a union so that this code is valid under strict aliasing */
+typedef union
+{
+ PageHeaderData phdr;
+ uint32 data[BLCKSZ / (sizeof(uint32) * N_SUMS)][N_SUMS];
+} PGChecksummablePage;
+
+/*
+ * Base offsets to initialize each of the parallel FNV hashes into a
+ * different initial state.
+ */
+static const uint32 checksumBaseOffsets[N_SUMS] = {
+ 0x5B1F36E9, 0xB8525960, 0x02AB50AA, 0x1DE66D2A,
+ 0x79FF467A, 0x9BB9F8A3, 0x217E7CD2, 0x83E13D2C,
+ 0xF8D4474F, 0xE39EB970, 0x42C6AE16, 0x993216FA,
+ 0x7B093B5D, 0x98DAFF3C, 0xF718902A, 0x0B1C9CDB,
+ 0xE58F764B, 0x187636BC, 0x5D7B3BB1, 0xE73DE7DE,
+ 0x92BEC979, 0xCCA6C0B2, 0x304A0979, 0x85AA43D4,
+ 0x783125BB, 0x6CA8EAA2, 0xE407EAC6, 0x4B5CFC3E,
+ 0x9FBF8C76, 0x15CA20BE, 0xF2CA9FD3, 0x959BD756
+};
+
+/*
+ * Calculate one round of the checksum.
+ */
+#define CHECKSUM_COMP(checksum, value) \
+do { \
+ uint32 __tmp = (checksum) ^ (value); \
+ (checksum) = __tmp * FNV_PRIME ^ (__tmp >> 17); \
+} while (0)
+
+/*
+ * Block checksum algorithm. The page must be adequately aligned
+ * (at least on 4-byte boundary).
+ */
+static uint32
+pg_checksum_block(const PGChecksummablePage *page)
+{
+ uint32 sums[N_SUMS];
+ uint32 result = 0;
+ uint32 i,
+ j;
+
+ /* ensure that the size is compatible with the algorithm */
+ Assert(sizeof(PGChecksummablePage) == BLCKSZ);
+
+ /* initialize partial checksums to their corresponding offsets */
+ memcpy(sums, checksumBaseOffsets, sizeof(checksumBaseOffsets));
+
+ /* main checksum calculation */
+ for (i = 0; i < (uint32) (BLCKSZ / (sizeof(uint32) * N_SUMS)); i++)
+ for (j = 0; j < N_SUMS; j++)
+ CHECKSUM_COMP(sums[j], page->data[i][j]);
+
+ /* finally add in two rounds of zeroes for additional mixing */
+ for (i = 0; i < 2; i++)
+ for (j = 0; j < N_SUMS; j++)
+ CHECKSUM_COMP(sums[j], 0);
+
+ /* xor fold partial checksums together */
+ for (i = 0; i < N_SUMS; i++)
+ result ^= sums[i];
+
+ return result;
+}
+
+/*
+ * Compute the checksum for a Postgres page.
+ *
+ * The page must be adequately aligned (at least on a 4-byte boundary).
+ * Beware also that the checksum field of the page is transiently zeroed.
+ *
+ * The checksum includes the block number (to detect the case where a page is
+ * somehow moved to a different location), the page header (excluding the
+ * checksum itself), and the page data.
+ */
+uint16
+pg_checksum_page(char *page, BlockNumber blkno)
+{
+ PGChecksummablePage *cpage = (PGChecksummablePage *) page;
+ uint16 save_checksum;
+ uint32 checksum;
+
+ /* We only calculate the checksum for properly-initialized pages */
+ Assert(!PageIsNew(&cpage->phdr));
+
+ /*
+ * Save pd_checksum and temporarily set it to zero, so that the checksum
+ * calculation isn't affected by the old checksum stored on the page.
+ * Restore it after, because actually updating the checksum is NOT part of
+ * the API of this function.
+ */
+ save_checksum = cpage->phdr.pd_checksum;
+ cpage->phdr.pd_checksum = 0;
+ checksum = pg_checksum_block(cpage);
+ cpage->phdr.pd_checksum = save_checksum;
+
+ /* Mix in the block number to detect transposed pages */
+ checksum ^= blkno;
+
+ /*
+ * Reduce to a uint16 (to fit in the pd_checksum field) with an offset of
+ * one. That avoids checksums of zero, which seems like a good idea.
+ */
+ return (uint16) ((checksum % 65535) + 1);
+}