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mirror of https://github.com/mariadb-corporation/mariadb-columnstore-engine.git synced 2025-07-29 08:21:15 +03:00

fix(join, UM, perf): UM join is multi-threaded now (#3286)

* chore: UM join is multi-threaded now

* fix(UMjoin):  replace TR1 maps with stdlib versions
This commit is contained in:
drrtuy
2024-08-28 18:18:57 +01:00
committed by Leonid Fedorov
parent 1d40b4bb45
commit 47d01b2d2f
4 changed files with 75 additions and 74 deletions

View File

@ -29,7 +29,7 @@
#include <sstream>
#include <stdexcept>
#include <unistd.h>
//#define NDEBUG
// #define NDEBUG
#include <cassert>
#include <algorithm>
using namespace std;
@ -119,12 +119,9 @@ TupleHashJoinStep::TupleHashJoinStep(const JobInfo& jobInfo)
allowDJS = false;
numCores = resourceManager->numCores();
if (numCores <= 0)
numCores = 8;
/* Debugging, rand() is used to simulate failures
time_t t = time(NULL);
srand(t);
*/
}
TupleHashJoinStep::~TupleHashJoinStep()
@ -139,8 +136,8 @@ TupleHashJoinStep::~TupleHashJoinStep()
for (uint i = 0; i < smallDLs.size(); i++)
{
if (memUsedByEachJoin[i])
resourceManager->returnMemory(memUsedByEachJoin[i], sessionMemLimit);
}
resourceManager->returnMemory(memUsedByEachJoin[i], sessionMemLimit);
}
}
returnMemory();
// cout << "deallocated THJS, UM memory available: " << resourceManager.availableMemory() << endl;
@ -207,7 +204,6 @@ void TupleHashJoinStep::join()
jobstepThreadPool.join(djsReader);
jobstepThreadPool.join(djsRelay);
// cout << "THJS: joined all DJS threads, shared usage = " << *djsSmallUsage << endl;
}
}
@ -228,7 +224,7 @@ void TupleHashJoinStep::trackMem(uint index)
{
gotMem = resourceManager->getMemory(memAfter - memBefore, sessionMemLimit, true);
if (gotMem)
atomicops::atomicAdd(&memUsedByEachJoin[index], memAfter - memBefore);
atomicops::atomicAdd(&memUsedByEachJoin[index], memAfter - memBefore);
else
return;
@ -245,7 +241,7 @@ void TupleHashJoinStep::trackMem(uint index)
gotMem = resourceManager->getMemory(memAfter - memBefore, sessionMemLimit, true);
if (gotMem)
{
atomicops::atomicAdd(&memUsedByEachJoin[index], memAfter - memBefore);
atomicops::atomicAdd(&memUsedByEachJoin[index], memAfter - memBefore);
}
else
{
@ -305,28 +301,32 @@ void TupleHashJoinStep::startSmallRunners(uint index)
handle abort, out of memory, etc
*/
/* To measure wall-time spent constructing the small-side tables...
boost::posix_time::ptime end_time, start_time =
boost::posix_time::microsec_clock::universal_time();
*/
stopMemTracking = false;
utils::VLArray<uint64_t> jobs(numCores);
uint64_t memMonitor = jobstepThreadPool.invoke([this, index] { this->trackMem(index); });
// starting 1 thread when in PM mode, since it's only inserting into a
// vector of rows. The rest will be started when converted to UM mode.
if (joiner->inUM())
{
for (int i = 0; i < numCores; i++)
{
jobs[i] = jobstepThreadPool.invoke([this, i, index, &jobs] { this->smallRunnerFcn(index, i, jobs); });
}
}
else
{
jobs[0] = jobstepThreadPool.invoke([this, index, &jobs] { this->smallRunnerFcn(index, 0, jobs); });
}
// wait for the first thread to join, then decide whether the others exist and need joining
jobstepThreadPool.join(jobs[0]);
if (joiner->inUM())
{
for (int i = 1; i < numCores; i++)
{
jobstepThreadPool.join(jobs[i]);
}
}
// stop the monitor thread
memTrackMutex.lock();
stopMemTracking = true;
@ -435,7 +435,7 @@ void TupleHashJoinStep::smallRunnerFcn(uint32_t index, uint threadID, uint64_t*
gotMem = resourceManager->getMemory(rgSize, sessionMemLimit, true);
if (gotMem)
{
atomicops::atomicAdd(&memUsedByEachJoin[index], rgSize);
atomicops::atomicAdd(&memUsedByEachJoin[index], rgSize);
}
else
{
@ -468,9 +468,12 @@ void TupleHashJoinStep::smallRunnerFcn(uint32_t index, uint threadID, uint64_t*
if (!joiner->inUM() && (memUsedByEachJoin[index] > pmMemLimit))
{
joiner->setInUM(rgData[index]);
for (int i = 1; i < numCores; i++)
{
jobs[i] =
jobstepThreadPool.invoke([this, i, index, jobs] { this->smallRunnerFcn(index, i, jobs); });
}
}
next:
dlMutex.lock();
@ -1727,8 +1730,8 @@ void TupleHashJoinStep::joinOneRG(
std::shared_ptr<Row[]>& smallRowTemplates, RowGroupDL* outputDL,
// disk-join support vars. This param list is insane; refactor attempt would be nice at some point.
vector<std::shared_ptr<joiner::TupleJoiner> >* tjoiners,
std::shared_ptr<std::shared_ptr<int[]>[] >* rgMappings,
std::shared_ptr<std::shared_ptr<int[]>[] >* feMappings,
std::shared_ptr<std::shared_ptr<int[]>[]>* rgMappings,
std::shared_ptr<std::shared_ptr<int[]>[]>* feMappings,
boost::scoped_array<boost::scoped_array<uint8_t> >* smallNullMem)
{
/* Disk-join support.
@ -1765,15 +1768,7 @@ void TupleHashJoinStep::joinOneRG(
for (j = 0; j < smallSideCount; j++)
{
(*tjoiners)[j]->match(largeSideRow, k, threadID, &joinMatches[j]);
/* Debugging code to print the matches
Row r;
smallRGs[j].initRow(&r);
cout << joinMatches[j].size() << " matches: \n";
for (uint32_t z = 0; z < joinMatches[j].size(); z++) {
r.setData(joinMatches[j][z]);
cout << " " << r.toString() << endl;
}
*/
matchCount = joinMatches[j].size();
if ((*tjoiners)[j]->hasFEFilter() && matchCount > 0)
@ -1859,10 +1854,11 @@ void TupleHashJoinStep::joinOneRG(
}
void TupleHashJoinStep::generateJoinResultSet(const vector<vector<Row::Pointer> >& joinerOutput, Row& baseRow,
const std::shared_ptr<std::shared_ptr<int[]>[] >& mappings,
const std::shared_ptr<std::shared_ptr<int[]>[]>& mappings,
const uint32_t depth, RowGroup& l_outputRG, RGData& rgData,
vector<RGData>& outputData, const std::shared_ptr<Row[]>& smallRows,
Row& joinedRow, RowGroupDL* dlp)
vector<RGData>& outputData,
const std::shared_ptr<Row[]>& smallRows, Row& joinedRow,
RowGroupDL* dlp)
{
uint32_t i;
Row& smallRow = smallRows[depth];