TEST_F(TableTupleTest, VolatileStandAloneTuple) {
UniqueEngine engine = UniqueEngineBuilder().build();
// A schema with
// - one fixed size column
// - one inlined variable-length column
// - one non-inlined variable-length column
ScopedTupleSchema schema{Tools::buildSchema(VALUE_TYPE_BIGINT,
std::make_pair(VALUE_TYPE_VARCHAR, 12),
std::make_pair(VALUE_TYPE_VARCHAR, 256))};
StandAloneTupleStorage standAloneTuple{schema.get()};
TableTuple tuple = standAloneTuple.tuple();
Tools::setTupleValues(&tuple, int64_t(0), "foo", "foo bar");
// Stand alone tuples are similar to pool-backed tuples.
ASSERT_TRUE(tuple.inlinedDataIsVolatile());
ASSERT_FALSE(tuple.nonInlinedDataIsVolatile());
NValue nv = tuple.getNValue(0);
ASSERT_FALSE(nv.getVolatile());
nv = tuple.getNValue(1);
ASSERT_TRUE(nv.getVolatile());
nv = tuple.getNValue(2);
ASSERT_FALSE(nv.getVolatile());
}
void MaterializedViewMetadata::processTupleDelete(TableTuple &oldTuple) {
// don't change the view if this tuple doesn't match the predicate
if (m_filterPredicate && (m_filterPredicate->eval(&oldTuple, NULL).isFalse()))
return;
// this will assert if the tuple isn't there as param expected is true
findExistingTuple(oldTuple, true);
// clear the tuple that will be built to insert or overwrite
memset(m_updatedTupleBackingStore, 0, m_target->schema()->tupleLength() + 1);
//printf(" Existing tuple: %s.\n", m_existingTuple.debugNoHeader().c_str());
//fflush(stdout);
// set up the first column, which is a count
NValue count = m_existingTuple.getNValue(m_groupByColumnCount).op_decrement();
//printf(" Count is: %d.\n", (int)(m_existingTuple.getSlimValue(m_groupByColumnCount).getBigInt()));
//fflush(stdout);
// check if we should remove the tuple
if (count.isZero()) {
m_target->deleteTuple(m_existingTuple, true);
return;
}
// assume from here that we're just updating the existing row
int colindex = 0;
// set up the first n columns, based on group-by columns
for (colindex = 0; colindex < m_groupByColumnCount; colindex++) {
m_updatedTuple.setNValue(colindex, oldTuple.getNValue(m_groupByColumns[colindex]));
}
m_updatedTuple.setNValue(colindex, count);
colindex++;
// set values for the other columns
for (int i = colindex; i < m_outputColumnCount; i++) {
NValue oldValue = oldTuple.getNValue(m_outputColumnSrcTableIndexes[i]);
NValue existingValue = m_existingTuple.getNValue(i);
if (m_outputColumnAggTypes[i] == EXPRESSION_TYPE_AGGREGATE_SUM) {
m_updatedTuple.setNValue(i, existingValue.op_subtract(oldValue));
}
else if (m_outputColumnAggTypes[i] == EXPRESSION_TYPE_AGGREGATE_COUNT) {
m_updatedTuple.setNValue(i, existingValue.op_decrement());
}
else {
throw SerializableEEException(VOLT_EE_EXCEPTION_TYPE_EEEXCEPTION,
"Error in materialized view table"
" update.");
}
}
// update the row
// shouldn't need to update indexes as this shouldn't ever change the key
m_target->updateTuple(m_updatedTuple, m_existingTuple, false);
}
void MaterializedViewMetadata::processTupleInsert(TableTuple &newTuple) {
// don't change the view if this tuple doesn't match the predicate
if (m_filterPredicate
&& (m_filterPredicate->eval(&newTuple, NULL).isFalse()))
return;
bool exists = findExistingTuple(newTuple);
if (!exists) {
// create a blank tuple
m_existingTuple.move(m_emptyTupleBackingStore);
}
// clear the tuple that will be built to insert or overwrite
memset(m_updatedTupleBackingStore, 0, m_target->schema()->tupleLength() + 1);
int colindex = 0;
// set up the first n columns, based on group-by columns
for (colindex = 0; colindex < m_groupByColumnCount; colindex++) {
m_updatedTuple.setNValue(colindex,
newTuple.getNValue(m_groupByColumns[colindex]));
}
// set up the next column, which is a count
m_updatedTuple.setNValue(colindex,
m_existingTuple.getNValue(colindex).op_increment());
colindex++;
// set values for the other columns
for (int i = colindex; i < m_outputColumnCount; i++) {
NValue newValue = newTuple.getNValue(m_outputColumnSrcTableIndexes[i]);
NValue existingValue = m_existingTuple.getNValue(i);
if (m_outputColumnAggTypes[i] == EXPRESSION_TYPE_AGGREGATE_SUM) {
m_updatedTuple.setNValue(i, newValue.op_add(existingValue));
}
else if (m_outputColumnAggTypes[i] == EXPRESSION_TYPE_AGGREGATE_COUNT) {
m_updatedTuple.setNValue(i, existingValue.op_increment());
}
else {
char message[128];
sprintf(message, "Error in materialized view table update for"
" col %d. Expression type %d", i, m_outputColumnAggTypes[i]);
throw SerializableEEException(VOLT_EE_EXCEPTION_TYPE_EEEXCEPTION,
message);
}
}
// update or insert the row
if (exists) {
// shouldn't need to update indexes as this shouldn't ever change the
// key
m_target->updateTuple(m_updatedTuple, m_existingTuple, false);
}
else {
m_target->insertTuple(m_updatedTuple);
}
}
TEST_F(TableTupleTest, VolatileTempTuplePersistent) {
UniqueEngine engine = UniqueEngineBuilder().build();
// A schema with
// - one fixed-length column
// - one inlined variable-length column
// - one non-inlined variable-length column
TupleSchema *schema = Tools::buildSchema(VALUE_TYPE_BIGINT,
std::make_pair(VALUE_TYPE_VARCHAR, 12),
std::make_pair(VALUE_TYPE_VARCHAR, 256));
std::vector<std::string> columnNames{"id", "inlined", "noninlined"};
char signature[20];
std::unique_ptr<Table> table{TableFactory::getPersistentTable(0,
"perstbl",
schema,
columnNames,
signature)};
TableTuple tuple = table->tempTuple();
Tools::setTupleValues(&tuple, int64_t(0), "foo", "foo bar");
ASSERT_TRUE(tuple.inlinedDataIsVolatile());
ASSERT_FALSE(tuple.nonInlinedDataIsVolatile());
NValue nv = tuple.getNValue(0);
ASSERT_FALSE(nv.getVolatile());
nv = tuple.getNValue(1);
ASSERT_TRUE(nv.getVolatile());
nv = tuple.getNValue(2);
ASSERT_FALSE(nv.getVolatile());
table->insertTuple(tuple);
TableIterator it = table->iterator();
TableTuple iterTuple{schema};
while (it.next(iterTuple)) {
// Regular, TupleBlock-backed tuples are never volatile.
ASSERT_FALSE(iterTuple.inlinedDataIsVolatile());
ASSERT_FALSE(iterTuple.nonInlinedDataIsVolatile());
nv = iterTuple.getNValue(0);
ASSERT_FALSE(nv.getVolatile());
nv = iterTuple.getNValue(1);
ASSERT_FALSE(nv.getVolatile());
nv = iterTuple.getNValue(2);
ASSERT_FALSE(nv.getVolatile());
}
}
int WindowFunctionExecutor::compareTuples(const TableTuple &tuple1,
const TableTuple &tuple2) const {
const TupleSchema *schema = tuple1.getSchema();
assert (schema == tuple2.getSchema());
for (int ii = schema->columnCount() - 1; ii >= 0; --ii) {
int cmp = tuple2.getNValue(ii)
.compare(tuple1.getNValue(ii));
if (cmp != 0) {
return cmp;
}
}
return 0;
}
TEST_F(TableTupleFilterTest, tableTupleFilterTest)
{
static const int MARKER = 33;
TempTable* table = getTempTable();
TableTupleFilter tableFilter;
tableFilter.init(table);
int tuplePerBlock = table->getTuplesPerBlock();
// make sure table spans more than one block
ASSERT_TRUE(NUM_OF_TUPLES / tuplePerBlock > 1);
TableTuple tuple = table->tempTuple();
TableIterator iterator = table->iterator();
// iterator over and mark every 5th tuple
int counter = 0;
std::multiset<int64_t> control_values;
while(iterator.next(tuple)) {
if (++counter % 5 == 0) {
NValue nvalue = tuple.getNValue(1);
int64_t value = ValuePeeker::peekBigInt(nvalue);
control_values.insert(value);
tableFilter.updateTuple(tuple, MARKER);
}
}
TableTupleFilter_iter<MARKER> endItr = tableFilter.end<MARKER>();
for (TableTupleFilter_iter<MARKER> itr = tableFilter.begin<MARKER>(); itr != endItr; ++itr) {
uint64_t tupleAddr = tableFilter.getTupleAddress(*itr);
tuple.move((char *)tupleAddr);
ASSERT_TRUE(tuple.isActive());
NValue nvalue = tuple.getNValue(1);
int64_t value = ValuePeeker::peekBigInt(nvalue);
ASSERT_FALSE(control_values.empty());
auto it = control_values.find(value);
ASSERT_NE(it, control_values.end());
control_values.erase(it);
}
ASSERT_TRUE(control_values.empty());
}
void DRTupleStream::updateTxnHash(TableTuple &tuple, int partitionColumn) {
if (partitionColumn != -1 && m_txnPkHash != LONG_MAX) {
int64_t txnPkHash = (int64_t)tuple.getNValue(partitionColumn).murmurHash3();
if (m_txnPkHash == LONG_MIN) {
m_txnPkHash = txnPkHash;
}
else if (txnPkHash != m_txnPkHash) {
m_txnPkHash = LONG_MAX;
}
}
}
NValue compare_tuple(const TableTuple& tuple1, const TableTuple& tuple2)
{
assert(tuple1.getSchema()->columnCount() == tuple2.getSchema()->columnCount());
NValue fallback_result = OP::includes_equality() ? NValue::getTrue() : NValue::getFalse();
int schemaSize = tuple1.getSchema()->columnCount();
for (int columnIdx = 0; columnIdx < schemaSize; ++columnIdx) {
NValue value1 = tuple1.getNValue(columnIdx);
if (value1.isNull()) {
fallback_result = NValue::getNullValue(VALUE_TYPE_BOOLEAN);
if (OP::implies_null_for_row()) {
return fallback_result;
}
continue;
}
NValue value2 = tuple2.getNValue(columnIdx);
if (value2.isNull()) {
fallback_result = NValue::getNullValue(VALUE_TYPE_BOOLEAN);
if (OP::implies_null_for_row()) {
return fallback_result;
}
continue;
}
if (OP::compare_withoutNull(value1, tuple2.getNValue(columnIdx)).isTrue()) {
if (OP::implies_true_for_row(value1, value2)) {
// allow early return on strict inequality
return NValue::getTrue();
}
}
else {
if (OP::implies_false_for_row(value1, value2)) {
// allow early return on strict inequality
return NValue::getFalse();
}
}
}
// The only cases that have not already short-circuited involve all equal columns.
// Each op either includes or excludes that particular case.
return fallback_result;
}
TEST_F(PersistentTableMemStatsTest, UpdateAndUndoTest) {
initTable(true);
tableutil::addRandomTuples(m_table, 10);
int64_t orig_size = m_table->nonInlinedMemorySize();
//cout << "Original non-inline size: " << orig_size << endl;
TableTuple tuple(m_tableSchema);
tableutil::getRandomTuple(m_table, tuple);
//cout << "Retrieved random tuple " << endl << tuple.debugNoHeader() << endl;
size_t removed_bytes =
StringRef::computeStringMemoryUsed(ValuePeeker::peekObjectLength(tuple.getNValue(1))) +
StringRef::computeStringMemoryUsed(ValuePeeker::peekObjectLength(tuple.getNValue(2)));
//cout << "Removing bytes from table: " << removed_bytes << endl;
/*
* A copy of the tuple to modify and use as a source tuple when
* updating the new tuple.
*/
TableTuple tempTuple = m_table->tempTuple();
tempTuple.copy(tuple);
string strval = "123456";
NValue new_string = ValueFactory::getStringValue(strval);
tempTuple.setNValue(1, new_string);
//cout << "Created random tuple " << endl << tempTuple.debugNoHeader() << endl;
size_t added_bytes =
StringRef::computeStringMemoryUsed(ValuePeeker::peekObjectLength(tempTuple.getNValue(1))) +
StringRef::computeStringMemoryUsed(ValuePeeker::peekObjectLength(tempTuple.getNValue(2)));
//cout << "Adding bytes to table: " << added_bytes << endl;
m_engine->setUndoToken(INT64_MIN + 2);
// this next line is a testing hack until engine data is
// de-duplicated with executorcontext data
m_engine->getExecutorContext();
m_table->updateTuple(tempTuple, tuple, true);
ASSERT_EQ(orig_size + added_bytes - removed_bytes, m_table->nonInlinedMemorySize());
m_engine->undoUndoToken(INT64_MIN + 2);
ASSERT_EQ(orig_size, m_table->nonInlinedMemorySize());
//tuple.freeObjectColumns();
//tempTuple.freeObjectColumns();
//delete [] tuple.address();
//delete[] tempTuple.address();
new_string.free();
}
bool MaterializedViewMetadata::findExistingTuple(TableTuple &oldTuple, bool expected) {
// find the key for this tuple (which is the group by columns)
for (int i = 0; i < m_groupByColumnCount; i++)
m_searchKey.setNValue(i, oldTuple.getNValue(m_groupByColumns[i]));
// determine if the row exists (create the empty one if it doesn't)
m_index->moveToKey(&m_searchKey);
m_existingTuple = m_index->nextValueAtKey();
if (m_existingTuple.isNullTuple()) {
if (expected) {
throw SerializableEEException(VOLT_EE_EXCEPTION_TYPE_EEEXCEPTION,
"MaterializedViewMetadata went"
" looking for a tuple in the view and"
" expected to find it but didn't");
}
return false;
}
else {
return true;
}
}
bool MaterializedViewMetadata::findExistingTuple(TableTuple &oldTuple, bool expected) {
// find the key for this tuple (which is the group by columns)
for (int i = 0; i < m_groupByColumnCount; i++) {
m_searchKey.setNValue(i, oldTuple.getNValue(m_groupByColumns[i]));
}
// determine if the row exists (create the empty one if it doesn't)
m_index->moveToKey(&m_searchKey);
m_existingTuple = m_index->nextValueAtKey();
if (m_existingTuple.isNullTuple()) {
if (expected) {
std::string name = m_target->name();
throwFatalException("MaterializedViewMetadata for table %s went"
" looking for a tuple in the view and"
" expected to find it but didn't", name.c_str());
}
return false;
}
else {
return true;
}
}
bool UpdateExecutor::p_execute(const NValueArray ¶ms, ReadWriteTracker *tracker) {
assert(m_inputTable);
assert(m_targetTable);
VOLT_TRACE("INPUT TABLE: %s\n", m_inputTable->debug().c_str());
VOLT_TRACE("TARGET TABLE - BEFORE: %s\n", m_targetTable->debug().c_str());
assert(m_inputTuple.sizeInValues() == m_inputTable->columnCount());
assert(m_targetTuple.sizeInValues() == m_targetTable->columnCount());
TableIterator input_iterator(m_inputTable);
while (input_iterator.next(m_inputTuple)) {
//
// OPTIMIZATION: Single-Sited Query Plans
// If our beloved UpdatePlanNode is apart of a single-site query plan,
// then the first column in the input table will be the address of a
// tuple on the target table that we will want to update. This saves us
// the trouble of having to do an index lookup
//
void *target_address = m_inputTuple.getNValue(0).castAsAddress();
m_targetTuple.move(target_address);
// Read/Write Set Tracking
if (tracker != NULL) {
tracker->markTupleWritten(m_targetTable, &m_targetTuple);
}
// Loop through INPUT_COL_IDX->TARGET_COL_IDX mapping and only update
// the values that we need to. The key thing to note here is that we
// grab a temp tuple that is a copy of the target tuple (i.e., the tuple
// we want to update). This insures that if the input tuple is somehow
// bringing garbage with it, we're only going to copy what we really
// need to into the target tuple.
//
TableTuple &tempTuple = m_targetTable->getTempTupleInlined(m_targetTuple);
for (int map_ctr = 0; map_ctr < m_inputTargetMapSize; map_ctr++) {
tempTuple.setNValue(m_inputTargetMap[map_ctr].second,
m_inputTuple.getNValue(m_inputTargetMap[map_ctr].first));
}
// if there is a partition column for the target table
if (m_partitionColumn != -1) {
// check for partition problems
// get the value for the partition column
NValue value = tempTuple.getNValue(m_partitionColumn);
bool isLocal = m_engine->isLocalSite(value);
// if it doesn't map to this site
if (!isLocal) {
VOLT_ERROR("Mispartitioned tuple in single-partition plan for"
" table '%s'", m_targetTable->name().c_str());
return false;
}
}
#ifdef ARIES
if(m_engine->isARIESEnabled()){
// add persistency check:
PersistentTable* table = dynamic_cast<PersistentTable*>(m_targetTable);
// only log if we are writing to a persistent table.
if (table != NULL) {
// before image -- target is old val with no updates
// XXX: what about uninlined fields?
// should we not be doing
// m_targetTable->getTempTupleInlined(m_targetTuple); instead?
TableTuple *beforeImage = &m_targetTuple;
// after image -- temp is NEW, created using target and input
TableTuple *afterImage = &tempTuple;
TableTuple *keyTuple = NULL;
char *keydata = NULL;
std::vector<int32_t> modifiedCols;
int32_t numCols = -1;
// See if we can do better by using an index instead
TableIndex *index = table->primaryKeyIndex();
if (index != NULL) {
// First construct tuple for primary key
keydata = new char[index->getKeySchema()->tupleLength()];
keyTuple = new TableTuple(keydata, index->getKeySchema());
for (int i = 0; i < index->getKeySchema()->columnCount(); i++) {
keyTuple->setNValue(i, beforeImage->getNValue(index->getColumnIndices()[i]));
}
// no before image need be recorded, just the primary key
beforeImage = NULL;
}
// Set the modified column list
numCols = m_inputTargetMapSize;
modifiedCols.resize(m_inputTargetMapSize, -1);
for (int map_ctr = 0; map_ctr < m_inputTargetMapSize; map_ctr++) {
// can't use column-id directly, otherwise we would go over vector bounds
int pos = m_inputTargetMap[map_ctr].first - 1;
modifiedCols.at(pos)
= m_inputTargetMap[map_ctr].second;
}
// Next, let the input tuple be the diff after image
afterImage = &m_inputTuple;
LogRecord *logrecord = new LogRecord(computeTimeStamp(),
LogRecord::T_UPDATE,// this is an update record
LogRecord::T_FORWARD,// the system is running normally
-1,// XXX: prevLSN must be fetched from table!
m_engine->getExecutorContext()->currentTxnId() ,// txn id
m_engine->getSiteId(),// which execution site
m_targetTable->name(),// the table affected
keyTuple,// primary key
numCols,
(numCols > 0) ? &modifiedCols : NULL,
beforeImage,
afterImage
);
size_t logrecordLength = logrecord->getEstimatedLength();
char *logrecordBuffer = new char[logrecordLength];
FallbackSerializeOutput output;
output.initializeWithPosition(logrecordBuffer, logrecordLength, 0);
logrecord->serializeTo(output);
LogManager* m_logManager = this->m_engine->getLogManager();
Logger m_ariesLogger = m_logManager->getAriesLogger();
//VOLT_WARN("m_logManager : %p AriesLogger : %p",&m_logManager, &m_ariesLogger);
const Logger *logger = m_logManager->getThreadLogger(LOGGERID_MM_ARIES);
logger->log(LOGLEVEL_INFO, output.data(), output.position());
delete[] logrecordBuffer;
logrecordBuffer = NULL;
delete logrecord;
logrecord = NULL;
if (keydata != NULL) {
delete[] keydata;
keydata = NULL;
}
if (keyTuple != NULL) {
delete keyTuple;
keyTuple = NULL;
}
}
}
#endif
if (!m_targetTable->updateTuple(tempTuple, m_targetTuple,
m_updatesIndexes)) {
VOLT_INFO("Failed to update tuple from table '%s'",
m_targetTable->name().c_str());
return false;
}
}
VOLT_TRACE("TARGET TABLE - AFTER: %s\n", m_targetTable->debug().c_str());
// TODO lets output result table here, not in result executor. same thing in
// delete/insert
// add to the planfragments count of modified tuples
m_engine->m_tuplesModified += m_inputTable->activeTupleCount();
return true;
}
NValue compare(const TableTuple& tuple) const
{
assert(tuple.getSchema()->columnCount() == 1);
return compare<OP>(tuple.getNValue(0));
}
bool IndexScanExecutor::p_execute(const NValueArray ¶ms)
{
assert(m_node);
assert(m_node == dynamic_cast<IndexScanPlanNode*>(m_abstractNode));
assert(m_outputTable);
assert(m_outputTable == static_cast<TempTable*>(m_node->getOutputTable()));
// update local target table with its most recent reference
Table* targetTable = m_node->getTargetTable();
TableIndex *tableIndex = targetTable->index(m_node->getTargetIndexName());
TableTuple searchKey(tableIndex->getKeySchema());
searchKey.moveNoHeader(m_searchKeyBackingStore);
assert(m_lookupType != INDEX_LOOKUP_TYPE_EQ ||
searchKey.getSchema()->columnCount() == m_numOfSearchkeys);
int activeNumOfSearchKeys = m_numOfSearchkeys;
IndexLookupType localLookupType = m_lookupType;
SortDirectionType localSortDirection = m_sortDirection;
// INLINE PROJECTION
// Set params to expression tree via substitute()
assert(m_numOfColumns == m_outputTable->columnCount());
if (m_projectionNode != NULL && m_projectionAllTupleArray == NULL)
{
for (int ctr = 0; ctr < m_numOfColumns; ctr++)
{
assert(m_projectionNode->getOutputColumnExpressions()[ctr]);
m_projectionExpressions[ctr]->substitute(params);
assert(m_projectionExpressions[ctr]);
}
}
//
// INLINE LIMIT
//
LimitPlanNode* limit_node = dynamic_cast<LimitPlanNode*>(m_abstractNode->getInlinePlanNode(PLAN_NODE_TYPE_LIMIT));
//
// SEARCH KEY
//
searchKey.setAllNulls();
VOLT_TRACE("Initial (all null) search key: '%s'", searchKey.debugNoHeader().c_str());
for (int ctr = 0; ctr < activeNumOfSearchKeys; ctr++) {
m_searchKeyArray[ctr]->substitute(params);
NValue candidateValue = m_searchKeyArray[ctr]->eval(NULL, NULL);
try {
searchKey.setNValue(ctr, candidateValue);
}
catch (const SQLException &e) {
// This next bit of logic handles underflow and overflow while
// setting up the search keys.
// e.g. TINYINT > 200 or INT <= 6000000000
// re-throw if not an overflow or underflow
// currently, it's expected to always be an overflow or underflow
if ((e.getInternalFlags() & (SQLException::TYPE_OVERFLOW | SQLException::TYPE_UNDERFLOW)) == 0) {
throw e;
}
// handle the case where this is a comparison, rather than equality match
// comparison is the only place where the executor might return matching tuples
// e.g. TINYINT < 1000 should return all values
if ((localLookupType != INDEX_LOOKUP_TYPE_EQ) &&
(ctr == (activeNumOfSearchKeys - 1))) {
if (e.getInternalFlags() & SQLException::TYPE_OVERFLOW) {
if ((localLookupType == INDEX_LOOKUP_TYPE_GT) ||
(localLookupType == INDEX_LOOKUP_TYPE_GTE)) {
// gt or gte when key overflows returns nothing
return true;
}
else {
// for overflow on reverse scan, we need to
// do a forward scan to find the correct start
// point, which is exactly what LTE would do.
// so, set the lookupType to LTE and the missing
// searchkey will be handled by extra post filters
localLookupType = INDEX_LOOKUP_TYPE_LTE;
}
}
if (e.getInternalFlags() & SQLException::TYPE_UNDERFLOW) {
if ((localLookupType == INDEX_LOOKUP_TYPE_LT) ||
(localLookupType == INDEX_LOOKUP_TYPE_LTE)) {
// lt or lte when key underflows returns nothing
return true;
}
else {
// don't allow GTE because it breaks null handling
localLookupType = INDEX_LOOKUP_TYPE_GT;
}
}
// if here, means all tuples with the previous searchkey
// columns need to be scaned. Note, if only one column,
// then all tuples will be scanned
activeNumOfSearchKeys--;
if (localSortDirection == SORT_DIRECTION_TYPE_INVALID) {
localSortDirection = SORT_DIRECTION_TYPE_ASC;
}
}
// if a EQ comparison is out of range, then return no tuples
else {
return true;
}
break;
}
}
assert((activeNumOfSearchKeys == 0) || (searchKey.getSchema()->columnCount() > 0));
VOLT_TRACE("Search key after substitutions: '%s'", searchKey.debugNoHeader().c_str());
//
// END EXPRESSION
//
AbstractExpression* end_expression = m_node->getEndExpression();
if (end_expression != NULL) {
end_expression->substitute(params);
VOLT_DEBUG("End Expression:\n%s", end_expression->debug(true).c_str());
}
//
// POST EXPRESSION
//
AbstractExpression* post_expression = m_node->getPredicate();
if (post_expression != NULL) {
post_expression->substitute(params);
VOLT_DEBUG("Post Expression:\n%s", post_expression->debug(true).c_str());
}
// INITIAL EXPRESSION
AbstractExpression* initial_expression = m_node->getInitialExpression();
if (initial_expression != NULL) {
initial_expression->substitute(params);
VOLT_DEBUG("Initial Expression:\n%s", initial_expression->debug(true).c_str());
}
//
// SKIP NULL EXPRESSION
//
AbstractExpression* skipNullExpr = m_node->getSkipNullPredicate();
// For reverse scan edge case NULL values and forward scan underflow case.
if (skipNullExpr != NULL) {
skipNullExpr->substitute(params);
VOLT_DEBUG("COUNT NULL Expression:\n%s", skipNullExpr->debug(true).c_str());
}
ProgressMonitorProxy pmp(m_engine, targetTable);
//
// An index scan has three parts:
// (1) Lookup tuples using the search key
// (2) For each tuple that comes back, check whether the
// end_expression is false.
// If it is, then we stop scanning. Otherwise...
// (3) Check whether the tuple satisfies the post expression.
// If it does, then add it to the output table
//
// Use our search key to prime the index iterator
// Now loop through each tuple given to us by the iterator
//
TableTuple tuple;
if (activeNumOfSearchKeys > 0) {
VOLT_TRACE("INDEX_LOOKUP_TYPE(%d) m_numSearchkeys(%d) key:%s",
localLookupType, activeNumOfSearchKeys, searchKey.debugNoHeader().c_str());
if (localLookupType == INDEX_LOOKUP_TYPE_EQ) {
tableIndex->moveToKey(&searchKey);
}
else if (localLookupType == INDEX_LOOKUP_TYPE_GT) {
tableIndex->moveToGreaterThanKey(&searchKey);
}
else if (localLookupType == INDEX_LOOKUP_TYPE_GTE) {
tableIndex->moveToKeyOrGreater(&searchKey);
} else if (localLookupType == INDEX_LOOKUP_TYPE_LT) {
tableIndex->moveToLessThanKey(&searchKey);
} else if (localLookupType == INDEX_LOOKUP_TYPE_LTE) {
// find the entry whose key is greater than search key,
// do a forward scan using initialExpr to find the correct
// start point to do reverse scan
bool isEnd = tableIndex->moveToGreaterThanKey(&searchKey);
if (isEnd) {
tableIndex->moveToEnd(false);
} else {
while (!(tuple = tableIndex->nextValue()).isNullTuple()) {
pmp.countdownProgress();
if (initial_expression != NULL && !initial_expression->eval(&tuple, NULL).isTrue()) {
// just passed the first failed entry, so move 2 backward
tableIndex->moveToBeforePriorEntry();
break;
}
}
if (tuple.isNullTuple()) {
tableIndex->moveToEnd(false);
}
}
}
else {
return false;
}
} else {
bool toStartActually = (localSortDirection != SORT_DIRECTION_TYPE_DESC);
tableIndex->moveToEnd(toStartActually);
}
int tuple_ctr = 0;
int tuples_skipped = 0; // for offset
int limit = -1;
int offset = -1;
if (limit_node != NULL) {
limit_node->getLimitAndOffsetByReference(params, limit, offset);
}
//
// We have to different nextValue() methods for different lookup types
//
while ((limit == -1 || tuple_ctr < limit) &&
((localLookupType == INDEX_LOOKUP_TYPE_EQ &&
!(tuple = tableIndex->nextValueAtKey()).isNullTuple()) ||
((localLookupType != INDEX_LOOKUP_TYPE_EQ || activeNumOfSearchKeys == 0) &&
!(tuple = tableIndex->nextValue()).isNullTuple()))) {
VOLT_TRACE("LOOPING in indexscan: tuple: '%s'\n", tuple.debug("tablename").c_str());
pmp.countdownProgress();
//
// First check to eliminate the null index rows for UNDERFLOW case only
//
if (skipNullExpr != NULL) {
if (skipNullExpr->eval(&tuple, NULL).isTrue()) {
VOLT_DEBUG("Index scan: find out null rows or columns.");
continue;
} else {
skipNullExpr = NULL;
}
}
//
// First check whether the end_expression is now false
//
if (end_expression != NULL && !end_expression->eval(&tuple, NULL).isTrue()) {
VOLT_TRACE("End Expression evaluated to false, stopping scan");
break;
}
//
// Then apply our post-predicate to do further filtering
//
if (post_expression == NULL || post_expression->eval(&tuple, NULL).isTrue()) {
//
// INLINE OFFSET
//
if (tuples_skipped < offset)
{
tuples_skipped++;
continue;
}
tuple_ctr++;
if (m_projectionNode != NULL)
{
TableTuple &temp_tuple = m_outputTable->tempTuple();
if (m_projectionAllTupleArray != NULL)
{
VOLT_TRACE("sweet, all tuples");
for (int ctr = m_numOfColumns - 1; ctr >= 0; --ctr) {
temp_tuple.setNValue(ctr, tuple.getNValue(m_projectionAllTupleArray[ctr]));
}
}
else
{
for (int ctr = m_numOfColumns - 1; ctr >= 0; --ctr) {
temp_tuple.setNValue(ctr, m_projectionExpressions[ctr]->eval(&tuple, NULL));
}
}
m_outputTable->insertTupleNonVirtual(temp_tuple);
}
else
//
// Straight Insert
//
{
//
// Try to put the tuple into our output table
//
m_outputTable->insertTupleNonVirtual(tuple);
}
pmp.countdownProgress();
}
}
VOLT_DEBUG ("Index Scanned :\n %s", m_outputTable->debug().c_str());
return true;
}
void setSearchKeyFromTuple(TableTuple &source) {
keyTuple.setNValue(0, source.getNValue(1));
keyTuple.setNValue(1, source.getNValue(2));
}
bool DeleteExecutor::p_execute(const NValueArray ¶ms, ReadWriteTracker *tracker) {
assert(m_targetTable);
if (m_truncate) {
VOLT_TRACE("truncating table %s...", m_targetTable->name().c_str());
// count the truncated tuples as deleted
m_engine->m_tuplesModified += m_inputTable->activeTupleCount();
#ifdef ARIES
if(m_engine->isARIESEnabled()){
// no need of persistency check, m_targetTable is
// always persistent for deletes
LogRecord *logrecord = new LogRecord(computeTimeStamp(),
LogRecord::T_TRUNCATE,// this is a truncate record
LogRecord::T_FORWARD,// the system is running normally
-1,// XXX: prevLSN must be fetched from table!
m_engine->getExecutorContext()->currentTxnId() ,// txn id
m_engine->getSiteId(),// which execution site
m_targetTable->name(),// the table affected
NULL,// primary key irrelevant
-1,// irrelevant numCols
NULL,// list of modified cols irrelevant
NULL,// before image irrelevant
NULL// after image irrelevant
);
size_t logrecordLength = logrecord->getEstimatedLength();
char *logrecordBuffer = new char[logrecordLength];
FallbackSerializeOutput output;
output.initializeWithPosition(logrecordBuffer, logrecordLength, 0);
logrecord->serializeTo(output);
LogManager* m_logManager = this->m_engine->getLogManager();
Logger m_ariesLogger = m_logManager->getAriesLogger();
//VOLT_WARN("m_logManager : %p AriesLogger : %p",&m_logManager, &m_ariesLogger);
const Logger *logger = m_logManager->getThreadLogger(LOGGERID_MM_ARIES);
logger->log(LOGLEVEL_INFO, output.data(), output.position());
delete[] logrecordBuffer;
logrecordBuffer = NULL;
delete logrecord;
logrecord = NULL;
}
#endif
//m_engine->context().incrementTuples(m_targetTable->activeTupleCount());
// actually delete all the tuples
m_targetTable->deleteAllTuples(true);
return true;
}
// XXX : ARIES : Not sure if else is needed ?
assert(m_inputTable);
assert(m_inputTuple.sizeInValues() == m_inputTable->columnCount());
assert(m_targetTuple.sizeInValues() == m_targetTable->columnCount());
TableIterator inputIterator(m_inputTable);
while (inputIterator.next(m_inputTuple)) {
//
// OPTIMIZATION: Single-Sited Query Plans
// If our beloved DeletePlanNode is apart of a single-site query plan,
// then the first column in the input table will be the address of a
// tuple on the target table that we will want to blow away. This saves
// us the trouble of having to do an index lookup
//
void *targetAddress = m_inputTuple.getNValue(0).castAsAddress();
m_targetTuple.move(targetAddress);
// Read/Write Set Tracking
if (tracker != NULL) {
tracker->markTupleWritten(m_targetTable, &m_targetTuple);
}
#ifdef ARIES
if(m_engine->isARIESEnabled()){
// no need of persistency check, m_targetTable is
// always persistent for deletes
// before image -- target is tuple to be deleted.
TableTuple *beforeImage = &m_targetTuple;
TableTuple *keyTuple = NULL;
char *keydata = NULL;
// See if we use an index instead
TableIndex *index = m_targetTable->primaryKeyIndex();
if (index != NULL) {
// First construct tuple for primary key
keydata = new char[index->getKeySchema()->tupleLength()];
keyTuple = new TableTuple(keydata, index->getKeySchema());
for (int i = 0; i < index->getKeySchema()->columnCount(); i++) {
keyTuple->setNValue(i, beforeImage->getNValue(index->getColumnIndices()[i]));
}
// no before image need be recorded, just the primary key
beforeImage = NULL;
}
LogRecord *logrecord = new LogRecord(computeTimeStamp(),
LogRecord::T_DELETE,// this is a delete record
LogRecord::T_FORWARD,// the system is running normally
-1,// XXX: prevLSN must be fetched from table!
m_engine->getExecutorContext()->currentTxnId() ,// txn id
m_engine->getSiteId(),// which execution site
m_targetTable->name(),// the table affected
keyTuple,// primary key
-1,// must delete all columns
NULL,// no list of modified cols
beforeImage,
NULL// no after image
);
size_t logrecordLength = logrecord->getEstimatedLength();
char *logrecordBuffer = new char[logrecordLength];
FallbackSerializeOutput output;
output.initializeWithPosition(logrecordBuffer, logrecordLength, 0);
logrecord->serializeTo(output);
LogManager* m_logManager = this->m_engine->getLogManager();
Logger m_ariesLogger = m_logManager->getAriesLogger();
//VOLT_WARN("m_logManager : %p AriesLogger : %p",&m_logManager, &m_ariesLogger);
const Logger *logger = m_logManager->getThreadLogger(LOGGERID_MM_ARIES);
logger->log(LOGLEVEL_INFO, output.data(), output.position());
delete[] logrecordBuffer;
logrecordBuffer = NULL;
delete logrecord;
logrecord = NULL;
if (keydata != NULL) {
delete[] keydata;
keydata = NULL;
}
if (keyTuple != NULL) {
delete keyTuple;
keyTuple = NULL;
}
}
#endif
// Delete from target table
if (!m_targetTable->deleteTuple(m_targetTuple, true)) {
VOLT_ERROR("Failed to delete tuple from table '%s'",
m_targetTable->name().c_str());
return false;
}
}
// add to the planfragments count of modified tuples
m_engine->m_tuplesModified += m_inputTable->activeTupleCount();
//m_engine->context().incrementTuples(m_inputTable->activeTupleCount());
return true;
}
/**
* Generate hash value for key.
*/
ElasticHash ElasticIndex::generateHash(const PersistentTable &table, const TableTuple &tuple)
{
return tuple.getNValue(table.partitionColumn()).murmurHash3();
}
// Scan some records in the table, verifying that points that are
// supposed to be inside are, and those that are not aren't.
// Print out some stats about how long things took.
void scanSomeRecords(PersistentTable *table, int numTuples, int numScans) {
std::cout << " Scanning for containing polygons on " << numScans << " points...\n";
auto start = std::chrono::high_resolution_clock::now();
std::chrono::microseconds usSpentScanning = std::chrono::duration_cast<microseconds>(start - start);
std::chrono::microseconds usSpentContainsing = std::chrono::duration_cast<microseconds>(start - start);
CoveringCellIndex* ccIndex = static_cast<CoveringCellIndex*>(table->index("poly_idx"));
TableTuple tempTuple = table->tempTuple();
StandAloneTupleStorage searchKey(ccIndex->getKeySchema());
int numContainingCells = 0;
int numContainingPolygons = 0;
for (int i = 0; i < numScans; ++i) {
// Pick a tuple at random.
int pk = std::rand() % numTuples;
tempTuple.setNValue(PK_COL_INDEX, ValueFactory::getIntegerValue(pk));
TableTuple sampleTuple = table->lookupTupleByValues(tempTuple);
ASSERT_FALSE(sampleTuple.isNullTuple());
NValue geog = sampleTuple.getNValue(GEOG_COL_INDEX);
if (geog.isNull()) {
// There is one null row in the table.
continue;
}
// The centroid will be inside polygons with one ring, and
// not inside polygons with two rings (because the second
// ring is a hole in the center).
NValue centroid = geog.callUnary<FUNC_VOLT_POLYGON_CENTROID>();
int32_t numInteriorRings = ValuePeeker::peekAsBigInt(geog.callUnary<FUNC_VOLT_POLYGON_NUM_INTERIOR_RINGS>());
bool isValid = ValuePeeker::peekBoolean(geog.callUnary<FUNC_VOLT_VALIDATE_POLYGON>());
if (! isValid) {
std::ostringstream oss;
int32_t len;
const char* reasonChars = ValuePeeker::peekObject_withoutNull(geog.callUnary<FUNC_VOLT_POLYGON_INVALID_REASON>(), &len);
std::string reason = std::string(reasonChars, len);
oss << "At " << i << "th scan, expected a valid polygon at pk "
<< pk << " but isValid says its not because \""
<< reason << "\". WKT:\n"
<< nvalToWkt(geog);
ASSERT_TRUE_WITH_MESSAGE(isValid, oss.str().c_str());
}
start = std::chrono::high_resolution_clock::now();
searchKey.tuple().setNValue(0, centroid);
IndexCursor cursor(ccIndex->getTupleSchema());
bool foundSamplePoly = false;
bool b = ccIndex->moveToCoveringCell(&searchKey.tuple(), cursor);
if (b) {
TableTuple foundTuple = ccIndex->nextValueAtKey(cursor);
while (! foundTuple.isNullTuple()) {
++numContainingCells;
auto startContains = std::chrono::high_resolution_clock::now();
bool polygonContains = ValuePeeker::peekBoolean(NValue::call<FUNC_VOLT_CONTAINS>({geog, centroid}));
auto endContains = std::chrono::high_resolution_clock::now();
usSpentContainsing += std::chrono::duration_cast<microseconds>(endContains - startContains);
if (polygonContains)
++numContainingPolygons;
int foundPk = ValuePeeker::peekAsInteger(foundTuple.getNValue(PK_COL_INDEX));
if (foundPk == pk && polygonContains) {
foundSamplePoly = true;
}
foundTuple = ccIndex->nextValueAtKey(cursor);
}
}
auto end = std::chrono::high_resolution_clock::now();
usSpentScanning += std::chrono::duration_cast<microseconds>(end - start);
ASSERT_TRUE(numInteriorRings == 0 || numInteriorRings == 1);
if (numInteriorRings == 0 && !foundSamplePoly) {
std::ostringstream oss;
oss << "At " << i << "th scan, expected to find centroid in polygon with primary key "
<< pk << ", centroid WKT:\n" << nvalToWkt(centroid)
<< "\npolygon WKT:\n" << nvalToWkt(geog);
ASSERT_TRUE_WITH_MESSAGE(foundSamplePoly, oss.str().c_str());
}
else if (numInteriorRings == 1) {
// There was a hole in the center so the centroid is not in the polygon
ASSERT_TRUE_WITH_MESSAGE(!foundSamplePoly, "Expected to not find centroid contained by polygon with hole in the center");
}
}
auto avgTotalUsSpentScanning = usSpentScanning.count() / numScans;
auto avgUsSpentContainsing = usSpentContainsing.count() / numScans;
auto avgUsSpentScanning = avgTotalUsSpentScanning - avgUsSpentContainsing;
std::cout << " Average duration of each index lookup total: " << avgTotalUsSpentScanning << " us\n";
std::cout << " Average duration spent on CONTAINS: " << avgUsSpentContainsing << " us\n";
std::cout << " Average duration spent on B-tree traversal: " << avgUsSpentScanning << " us\n";
double pctFalsePositives = (double(numContainingCells - numContainingPolygons) / numContainingCells) * 100.0;
std::cout << " Percent false positives (point in cell but not polygon): " << pctFalsePositives << "%\n";
double avgCellsContainingPoint = numContainingCells / double(numScans);
double avgPolygonsContainingPoint = numContainingPolygons / double(numScans);
std::cout << " On average, each point was in " << avgCellsContainingPoint << " cells\n";
std::cout << " On average, each point was in " << avgPolygonsContainingPoint << " polygons\n";
}
bool InsertExecutor::p_execute(const NValueArray ¶ms) {
assert(m_node == dynamic_cast<InsertPlanNode*>(m_abstractNode));
assert(m_node);
assert(m_inputTable == dynamic_cast<TempTable*>(m_node->getInputTable()));
assert(m_inputTable);
// Target table can be StreamedTable or PersistentTable and must not be NULL
// Update target table reference from table delegate
Table* targetTable = m_node->getTargetTable();
assert(targetTable);
assert((targetTable == dynamic_cast<PersistentTable*>(targetTable)) ||
(targetTable == dynamic_cast<StreamedTable*>(targetTable)));
PersistentTable* persistentTable = m_isStreamed ?
NULL : static_cast<PersistentTable*>(targetTable);
TableTuple upsertTuple = TableTuple(targetTable->schema());
VOLT_TRACE("INPUT TABLE: %s\n", m_inputTable->debug().c_str());
// count the number of successful inserts
int modifiedTuples = 0;
Table* outputTable = m_node->getOutputTable();
assert(outputTable);
TableTuple templateTuple = m_templateTuple.tuple();
std::vector<int>::iterator it;
for (it = m_nowFields.begin(); it != m_nowFields.end(); ++it) {
templateTuple.setNValue(*it, NValue::callConstant<FUNC_CURRENT_TIMESTAMP>());
}
VOLT_DEBUG("This is a %s-row insert on partition with id %d",
m_node->getChildren()[0]->getPlanNodeType() == PLAN_NODE_TYPE_MATERIALIZE ?
"single" : "multi", m_engine->getPartitionId());
VOLT_DEBUG("Offset of partition column is %d", m_partitionColumn);
//
// An insert is quite simple really. We just loop through our m_inputTable
// and insert any tuple that we find into our targetTable. It doesn't get any easier than that!
//
TableTuple inputTuple(m_inputTable->schema());
assert (inputTuple.sizeInValues() == m_inputTable->columnCount());
TableIterator iterator = m_inputTable->iterator();
while (iterator.next(inputTuple)) {
for (int i = 0; i < m_node->getFieldMap().size(); ++i) {
// Most executors will just call setNValue instead of
// setNValueAllocateForObjectCopies.
//
// However, We need to call
// setNValueAlocateForObjectCopies here. Sometimes the
// input table's schema has an inlined string field, and
// it's being assigned to the target table's outlined
// string field. In this case we need to tell the NValue
// where to allocate the string data.
templateTuple.setNValueAllocateForObjectCopies(m_node->getFieldMap()[i],
inputTuple.getNValue(i),
ExecutorContext::getTempStringPool());
}
VOLT_TRACE("Inserting tuple '%s' into target table '%s' with table schema: %s",
templateTuple.debug(targetTable->name()).c_str(), targetTable->name().c_str(),
targetTable->schema()->debug().c_str());
// if there is a partition column for the target table
if (m_partitionColumn != -1) {
// get the value for the partition column
NValue value = templateTuple.getNValue(m_partitionColumn);
bool isLocal = m_engine->isLocalSite(value);
// if it doesn't map to this site
if (!isLocal) {
if (!m_multiPartition) {
throw ConstraintFailureException(
dynamic_cast<PersistentTable*>(targetTable),
templateTuple,
"Mispartitioned tuple in single-partition insert statement.");
}
// don't insert
continue;
}
}
// for multi partition export tables, only insert into one
// place (the partition with hash(0)), if the data is from a
// replicated source. If the data is coming from a subquery
// with partitioned tables, we need to perform the insert on
// every partition.
if (m_isStreamed && m_multiPartition && !m_sourceIsPartitioned) {
bool isLocal = m_engine->isLocalSite(ValueFactory::getBigIntValue(0));
if (!isLocal) continue;
}
if (! m_isUpsert) {
// try to put the tuple into the target table
if (m_hasPurgeFragment) {
if (!executePurgeFragmentIfNeeded(&persistentTable))
return false;
// purge fragment might have truncated the table, and
// refreshed the persistent table pointer. Make sure to
// use it when doing the insert below.
targetTable = persistentTable;
}
if (!targetTable->insertTuple(templateTuple)) {
VOLT_ERROR("Failed to insert tuple from input table '%s' into"
" target table '%s'",
m_inputTable->name().c_str(),
targetTable->name().c_str());
return false;
}
} else {
// upsert execution logic
assert(persistentTable->primaryKeyIndex() != NULL);
TableTuple existsTuple = persistentTable->lookupTupleByValues(templateTuple);
if (existsTuple.isNullTuple()) {
// try to put the tuple into the target table
if (m_hasPurgeFragment) {
if (!executePurgeFragmentIfNeeded(&persistentTable))
return false;
}
if (!persistentTable->insertTuple(templateTuple)) {
VOLT_ERROR("Failed to insert tuple from input table '%s' into"
" target table '%s'",
m_inputTable->name().c_str(),
persistentTable->name().c_str());
return false;
}
} else {
// tuple exists already, try to update the tuple instead
upsertTuple.move(templateTuple.address());
TableTuple &tempTuple = persistentTable->getTempTupleInlined(upsertTuple);
if (!persistentTable->updateTupleWithSpecificIndexes(existsTuple, tempTuple,
persistentTable->allIndexes())) {
VOLT_INFO("Failed to update existsTuple from table '%s'",
persistentTable->name().c_str());
return false;
}
}
}
// successfully inserted or updated
modifiedTuples++;
}
TableTuple& count_tuple = outputTable->tempTuple();
count_tuple.setNValue(0, ValueFactory::getBigIntValue(modifiedTuples));
// try to put the tuple into the output table
if (!outputTable->insertTuple(count_tuple)) {
VOLT_ERROR("Failed to insert tuple count (%d) into"
" output table '%s'",
modifiedTuples,
outputTable->name().c_str());
return false;
}
// add to the planfragments count of modified tuples
m_engine->addToTuplesModified(modifiedTuples);
VOLT_DEBUG("Finished inserting %d tuples", modifiedTuples);
return true;
}
int64_t TupleTrackerManager::getPrimaryKey(std::string tableName, uint32_t tupleId){
Table* table = voltDBEngine->getTable(tableName);
TableTuple tuple = TableTuple(table->schema());
tuple.move(table->dataPtrForTuple(tupleId));
TableIndex *m_index = table->primaryKeyIndex();
std::vector<int> column_indices_vector = m_index->getColumnIndices();
std::vector<int>::iterator it = column_indices_vector.begin();
NValue colValue;
int i = 0;
while (it != column_indices_vector.end()) // this is for non composite key
{
colValue = tuple.getNValue(*it);
it++;
i++;
}
return colValue.castAsBigIntAndGetValue();
//return i;
//return colValue.isNull();
/*
it = std::find(column_indices_vector.begin(), column_indices_vector.end(), tupleId);
return (int) std:: distance(column_indices_vector.begin(), it);
TableTuple outputTuple = ... // tuple for your output table
TableTuple inputTuple = ... // tuple from your tracking table
TableTuple origTuple = ... // tuple from the original PersistantTable
foreach (inputTuple in tracking table) {
// (1) Get offset from inputTuple and move the origTuple to that location
origTuple.move(table->dataPtrForTuple(tupleId));
// (2) Now iterate over the pkey column offsets and copy the values into the inputTuple
int col_idx = 0;
for (pkey_offset in m_index->getColumnIndices()) {
NValue colValue = origTuple.getNValue(pkey_offset);
outputTuple.setNValue(col_idx, colValue);
col_idx++;
}
// (3) Insert outputTuple into output table
}
int colCount = (int)column_indices_vector.size();
if (colCount < tupleId)
return -1;
return column_indices_vector[tupleId];
//*/
}
void InsertExecutor::p_execute_tuple_internal(TableTuple &tuple) {
const std::vector<int>& fieldMap = m_node->getFieldMap();
std::size_t mapSize = fieldMap.size();
for (int i = 0; i < mapSize; ++i) {
// Most executors will just call setNValue instead of
// setNValueAllocateForObjectCopies.
//
// However, We need to call
// setNValueAllocateForObjectCopies here. Sometimes the
// input table's schema has an inlined string field, and
// it's being assigned to the target table's non-inlined
// string field. In this case we need to tell the NValue
// where to allocate the string data.
// For an "upsert", this templateTuple setup has two effects --
// It sets the primary key column(s) and it sets the
// updated columns to their new values.
// If the primary key value (combination) is new, the
// templateTuple is the exact combination of new values
// and default values required by the insert.
// If the primary key value (combination) already exists,
// only the NEW values stored on the templateTuple get updated
// in the existing tuple and its other columns keep their existing
// values -- the DEFAULT values that are stored in templateTuple
// DO NOT get copied to an existing tuple.
m_templateTuple.setNValueAllocateForObjectCopies(fieldMap[i],
tuple.getNValue(i),
m_tempPool);
}
VOLT_TRACE("Inserting tuple '%s' into target table '%s' with table schema: %s",
m_templateTuple.debug(m_targetTable->name()).c_str(), m_targetTable->name().c_str(),
m_targetTable->schema()->debug().c_str());
// If there is a partition column for the target table
if (m_partitionColumn != -1) {
// get the value for the partition column
NValue value = m_templateTuple.getNValue(m_partitionColumn);
bool isLocal = m_engine->isLocalSite(value);
// if it doesn't map to this partiton
if (!isLocal) {
if (m_multiPartition) {
// The same row is presumed to also be generated
// on some other partition, where the partition key
// belongs.
return;
}
// When a streamed table has no views, let an SP insert execute.
// This is backward compatible with when there were only export
// tables with no views on them.
// When there are views, be strict and throw mispartitioned
// tuples to force partitioned data to be generated only
// where partitioned view rows are maintained.
if (!m_isStreamed || m_hasStreamView) {
throw ConstraintFailureException(m_targetTable, m_templateTuple,
"Mispartitioned tuple in single-partition insert statement.");
}
}
}
if (m_isUpsert) {
// upsert execution logic
assert(m_persistentTable->primaryKeyIndex() != NULL);
TableTuple existsTuple = m_persistentTable->lookupTupleByValues(m_templateTuple);
if (!existsTuple.isNullTuple()) {
// The tuple exists already, update (only) the templateTuple columns
// that were initialized from the input tuple via the field map.
// Technically, this includes setting primary key values,
// but they are getting set to equivalent values, so that's OK.
// A simple setNValue works here because any required object
// allocations were handled when copying the input values into
// the templateTuple.
m_upsertTuple.move(m_templateTuple.address());
TableTuple &tempTuple = m_persistentTable->copyIntoTempTuple(existsTuple);
for (int i = 0; i < mapSize; ++i) {
tempTuple.setNValue(fieldMap[i],
m_templateTuple.getNValue(fieldMap[i]));
}
m_persistentTable->updateTupleWithSpecificIndexes(existsTuple, tempTuple,
m_persistentTable->allIndexes());
// successfully updated
++m_modifiedTuples;
return;
}
// else, the primary key did not match,
// so fall through to the "insert" logic
}
// try to put the tuple into the target table
if (m_hasPurgeFragment) {
executePurgeFragmentIfNeeded(&m_persistentTable);
// purge fragment might have truncated the table, and
// refreshed the persistent table pointer. Make sure to
// use it when doing the insert below.
m_targetTable = m_persistentTable;
}
m_targetTable->insertTuple(m_templateTuple);
VOLT_TRACE("Target table:\n%s\n", m_targetTable->debug().c_str());
// successfully inserted
++m_modifiedTuples;
return;
}
void MaterializedViewMetadata::processTupleInsert(TableTuple &newTuple, bool fallible) {
// don't change the view if this tuple doesn't match the predicate
if (m_filterPredicate
&& (m_filterPredicate->eval(&newTuple, NULL).isFalse())) {
return;
}
bool exists = findExistingTuple(newTuple);
if (!exists) {
// create a blank tuple
m_existingTuple.move(m_emptyTupleBackingStore);
}
// clear the tuple that will be built to insert or overwrite
memset(m_updatedTupleBackingStore, 0, m_target->schema()->tupleLength() + 1);
int colindex = 0;
// set up the first n columns, based on group-by columns
for (colindex = 0; colindex < m_groupByColumnCount; colindex++) {
// note that if the tuple is in the mv's target table,
// tuple values should be pulled from the existing tuple in
// that table. This works around a memory ownership issue
// related to out-of-line strings.
if (exists) {
m_updatedTuple.setNValue(colindex,
m_existingTuple.getNValue(colindex));
}
else {
m_updatedTuple.setNValue(colindex,
newTuple.getNValue(m_groupByColumns[colindex]));
}
}
// set up the next column, which is a count
m_updatedTuple.setNValue(colindex,
m_existingTuple.getNValue(colindex).op_increment());
colindex++;
// set values for the other columns
for (int i = colindex; i < m_outputColumnCount; i++) {
NValue newValue = newTuple.getNValue(m_outputColumnSrcTableIndexes[i]);
NValue existingValue = m_existingTuple.getNValue(i);
if (m_outputColumnAggTypes[i] == EXPRESSION_TYPE_AGGREGATE_SUM) {
m_updatedTuple.setNValue(i, newValue.op_add(existingValue));
}
else if (m_outputColumnAggTypes[i] == EXPRESSION_TYPE_AGGREGATE_COUNT) {
m_updatedTuple.setNValue(i, existingValue.op_increment());
}
else {
char message[128];
snprintf(message, 128, "Error in materialized view table update for"
" col %d. Expression type %d", i, m_outputColumnAggTypes[i]);
throw SerializableEEException(VOLT_EE_EXCEPTION_TYPE_EEEXCEPTION,
message);
}
}
// update or insert the row
if (exists) {
// Shouldn't need to update group-key-only indexes such as the primary key
// since their keys shouldn't ever change, but do update other indexes.
m_target->updateTupleWithSpecificIndexes(m_existingTuple, m_updatedTuple,
m_updatableIndexList, fallible);
}
else {
m_target->insertPersistentTuple(m_updatedTuple, fallible);
}
}
