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contrib/tsm_system_time
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315
contrib/tsm_system_time/tsm_system_time.c
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315
contrib/tsm_system_time/tsm_system_time.c
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/*-------------------------------------------------------------------------
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*
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* tsm_system_time.c
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* interface routines for system_time tablesample method
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*
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*
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* Portions Copyright (c) 1996-2014, PostgreSQL Global Development Group
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*
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* IDENTIFICATION
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* contrib/tsm_system_time_rowlimit/tsm_system_time.c
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*
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*-------------------------------------------------------------------------
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*/
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#include "postgres.h"
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#include "fmgr.h"
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#include "access/tablesample.h"
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#include "access/relscan.h"
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#include "miscadmin.h"
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#include "nodes/execnodes.h"
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#include "nodes/relation.h"
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#include "optimizer/clauses.h"
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#include "storage/bufmgr.h"
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#include "utils/sampling.h"
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#include "utils/spccache.h"
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#include "utils/timestamp.h"
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PG_MODULE_MAGIC;
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/*
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* State
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*/
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typedef struct
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{
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SamplerRandomState randstate;
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uint32 seed; /* random seed */
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BlockNumber nblocks; /* number of block in relation */
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int32 time; /* time limit for sampling */
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TimestampTz start_time; /* start time of sampling */
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TimestampTz end_time; /* end time of sampling */
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OffsetNumber lt; /* last tuple returned from current block */
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BlockNumber step; /* step size */
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BlockNumber lb; /* last block visited */
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BlockNumber estblocks; /* estimated number of returned blocks (moving) */
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BlockNumber doneblocks; /* number of already returned blocks */
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} SystemSamplerData;
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PG_FUNCTION_INFO_V1(tsm_system_time_init);
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PG_FUNCTION_INFO_V1(tsm_system_time_nextblock);
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PG_FUNCTION_INFO_V1(tsm_system_time_nexttuple);
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PG_FUNCTION_INFO_V1(tsm_system_time_end);
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PG_FUNCTION_INFO_V1(tsm_system_time_reset);
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PG_FUNCTION_INFO_V1(tsm_system_time_cost);
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static uint32 random_relative_prime(uint32 n, SamplerRandomState randstate);
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/*
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* Initializes the state.
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*/
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Datum
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tsm_system_time_init(PG_FUNCTION_ARGS)
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{
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TableSampleDesc *tsdesc = (TableSampleDesc *) PG_GETARG_POINTER(0);
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uint32 seed = PG_GETARG_UINT32(1);
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int32 time = PG_ARGISNULL(2) ? -1 : PG_GETARG_INT32(2);
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HeapScanDesc scan = tsdesc->heapScan;
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SystemSamplerData *sampler;
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if (time < 1)
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ereport(ERROR,
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(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
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errmsg("invalid time limit"),
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errhint("Time limit must be positive integer value.")));
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sampler = palloc0(sizeof(SystemSamplerData));
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/* Remember initial values for reinit */
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sampler->seed = seed;
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sampler->nblocks = scan->rs_nblocks;
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sampler->lt = InvalidOffsetNumber;
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sampler->estblocks = 2;
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sampler->doneblocks = 0;
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sampler->time = time;
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sampler->start_time = GetCurrentTimestamp();
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sampler->end_time = TimestampTzPlusMilliseconds(sampler->start_time,
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sampler->time);
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sampler_random_init_state(sampler->seed, sampler->randstate);
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/* Find relative prime as step size for linear probing. */
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sampler->step = random_relative_prime(sampler->nblocks, sampler->randstate);
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/*
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* Randomize start position so that blocks close to step size don't have
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* higher probability of being chosen on very short scan.
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*/
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sampler->lb = sampler_random_fract(sampler->randstate) * (sampler->nblocks / sampler->step);
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tsdesc->tsmdata = (void *) sampler;
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PG_RETURN_VOID();
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}
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/*
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* Get next block number or InvalidBlockNumber when we're done.
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*
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* Uses linear probing algorithm for picking next block.
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*/
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Datum
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tsm_system_time_nextblock(PG_FUNCTION_ARGS)
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{
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TableSampleDesc *tsdesc = (TableSampleDesc *) PG_GETARG_POINTER(0);
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SystemSamplerData *sampler = (SystemSamplerData *) tsdesc->tsmdata;
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sampler->lb = (sampler->lb + sampler->step) % sampler->nblocks;
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sampler->doneblocks++;
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/* All blocks have been read, we're done */
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if (sampler->doneblocks > sampler->nblocks)
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PG_RETURN_UINT32(InvalidBlockNumber);
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/*
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* Update the estimations for time limit at least 10 times per estimated
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* number of returned blocks to handle variations in block read speed.
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*/
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if (sampler->doneblocks % Max(sampler->estblocks/10, 1) == 0)
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{
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TimestampTz now = GetCurrentTimestamp();
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long secs;
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int usecs;
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int usecs_remaining;
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int time_per_block;
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TimestampDifference(sampler->start_time, now, &secs, &usecs);
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usecs += (int) secs * 1000000;
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time_per_block = usecs / sampler->doneblocks;
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/* No time left, end. */
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TimestampDifference(now, sampler->end_time, &secs, &usecs);
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if (secs <= 0 && usecs <= 0)
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PG_RETURN_UINT32(InvalidBlockNumber);
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/* Remaining microseconds */
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usecs_remaining = usecs + (int) secs * 1000000;
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/* Recalculate estimated returned number of blocks */
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if (time_per_block < usecs_remaining && time_per_block > 0)
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sampler->estblocks = sampler->time * time_per_block;
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}
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PG_RETURN_UINT32(sampler->lb);
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}
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/*
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* Get next tuple offset in current block or InvalidOffsetNumber if we are done
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* with this block.
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*/
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Datum
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tsm_system_time_nexttuple(PG_FUNCTION_ARGS)
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{
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TableSampleDesc *tsdesc = (TableSampleDesc *) PG_GETARG_POINTER(0);
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OffsetNumber maxoffset = PG_GETARG_UINT16(2);
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SystemSamplerData *sampler = (SystemSamplerData *) tsdesc->tsmdata;
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OffsetNumber tupoffset = sampler->lt;
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if (tupoffset == InvalidOffsetNumber)
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tupoffset = FirstOffsetNumber;
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else
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tupoffset++;
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if (tupoffset > maxoffset)
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tupoffset = InvalidOffsetNumber;
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sampler->lt = tupoffset;
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PG_RETURN_UINT16(tupoffset);
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}
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/*
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* Cleanup method.
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*/
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Datum
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tsm_system_time_end(PG_FUNCTION_ARGS)
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{
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TableSampleDesc *tsdesc = (TableSampleDesc *) PG_GETARG_POINTER(0);
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pfree(tsdesc->tsmdata);
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PG_RETURN_VOID();
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}
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/*
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* Reset state (called by ReScan).
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*/
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Datum
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tsm_system_time_reset(PG_FUNCTION_ARGS)
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{
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TableSampleDesc *tsdesc = (TableSampleDesc *) PG_GETARG_POINTER(0);
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SystemSamplerData *sampler = (SystemSamplerData *) tsdesc->tsmdata;
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sampler->lt = InvalidOffsetNumber;
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sampler->start_time = GetCurrentTimestamp();
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sampler->end_time = TimestampTzPlusMilliseconds(sampler->start_time,
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sampler->time);
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sampler->estblocks = 2;
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sampler->doneblocks = 0;
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sampler_random_init_state(sampler->seed, sampler->randstate);
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sampler->step = random_relative_prime(sampler->nblocks, sampler->randstate);
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sampler->lb = sampler_random_fract(sampler->randstate) * (sampler->nblocks / sampler->step);
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PG_RETURN_VOID();
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}
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/*
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* Costing function.
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*/
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Datum
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tsm_system_time_cost(PG_FUNCTION_ARGS)
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{
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PlannerInfo *root = (PlannerInfo *) PG_GETARG_POINTER(0);
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Path *path = (Path *) PG_GETARG_POINTER(1);
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RelOptInfo *baserel = (RelOptInfo *) PG_GETARG_POINTER(2);
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List *args = (List *) PG_GETARG_POINTER(3);
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BlockNumber *pages = (BlockNumber *) PG_GETARG_POINTER(4);
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double *tuples = (double *) PG_GETARG_POINTER(5);
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Node *limitnode;
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int32 time;
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BlockNumber relpages;
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double reltuples;
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double density;
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double spc_random_page_cost;
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limitnode = linitial(args);
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limitnode = estimate_expression_value(root, limitnode);
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if (IsA(limitnode, RelabelType))
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limitnode = (Node *) ((RelabelType *) limitnode)->arg;
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if (IsA(limitnode, Const))
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time = DatumGetInt32(((Const *) limitnode)->constvalue);
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else
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{
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/* Default time (1s) if the estimation didn't return Const. */
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time = 1000;
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}
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relpages = baserel->pages;
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reltuples = baserel->tuples;
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/* estimate the tuple density */
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if (relpages > 0)
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density = reltuples / (double) relpages;
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else
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density = (BLCKSZ - SizeOfPageHeaderData) / baserel->width;
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/*
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* We equal random page cost value to number of ms it takes to read the
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* random page here which is far from accurate but we don't have anything
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* better to base our predicted page reads.
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*/
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get_tablespace_page_costs(baserel->reltablespace,
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&spc_random_page_cost,
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NULL);
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/*
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* Assumption here is that we'll never read less then 1% of table pages,
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* this is here mainly because it is much less bad to overestimate than
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* underestimate and using just spc_random_page_cost will probably lead
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* to underestimations in general.
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*/
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*pages = Min(baserel->pages, Max(time/spc_random_page_cost, baserel->pages/100));
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*tuples = rint(density * (double) *pages * path->rows / baserel->tuples);
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path->rows = *tuples;
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PG_RETURN_VOID();
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}
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static uint32
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gcd (uint32 a, uint32 b)
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{
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uint32 c;
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while (a != 0)
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{
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c = a;
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a = b % a;
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b = c;
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}
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return b;
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}
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static uint32
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random_relative_prime(uint32 n, SamplerRandomState randstate)
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{
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/* Pick random starting number, with some limits on what it can be. */
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uint32 r = (uint32) sampler_random_fract(randstate) * n/2 + n/4,
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t;
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/*
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* This should only take 2 or 3 iterations as the probability of 2 numbers
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* being relatively prime is ~61%.
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*/
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while ((t = gcd(r, n)) > 1)
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{
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CHECK_FOR_INTERRUPTS();
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r /= t;
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}
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return r;
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}
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