bool AggregateExecutorBase::p_init(AbstractPlanNode*, TempTableLimits* limits)
{
AggregatePlanNode* node = dynamic_cast<AggregatePlanNode*>(m_abstractNode);
assert(node);
m_inputExpressions = node->getAggregateInputExpressions();
for (int i = 0; i < m_inputExpressions.size(); i++) {
VOLT_DEBUG("\nAGG INPUT EXPRESSION: %s\n",
m_inputExpressions[i] ? m_inputExpressions[i]->debug().c_str() : "null");
}
/*
* Find the difference between the set of aggregate output columns
* (output columns resulting from an aggregate) and output columns.
* Columns that are not the result of aggregates are being passed
* through from the input table. Do this extra work here rather then
* serialize yet more data.
*/
std::vector<bool> outputColumnsResultingFromAggregates(node->getOutputSchema().size(), false);
m_aggregateOutputColumns = node->getAggregateOutputColumns();
BOOST_FOREACH(int aOC, m_aggregateOutputColumns) {
outputColumnsResultingFromAggregates[aOC] = true;
}
for (int ii = 0; ii < outputColumnsResultingFromAggregates.size(); ii++) {
if (outputColumnsResultingFromAggregates[ii] == false) {
m_passThroughColumns.push_back(ii);
}
}
if (!node->isInline()) {
setTempOutputTable(limits);
}
m_partialSerialGroupByColumns = node->getPartialGroupByColumns();
m_aggTypes = node->getAggregates();
m_distinctAggs = node->getDistinctAggregates();
m_groupByExpressions = node->getGroupByExpressions();
node->collectOutputExpressions(m_outputColumnExpressions);
// m_passThroughColumns.size() == m_groupByExpressions.size() is not true,
// Because group by unique column may be able to select other columns
m_prePredicate = node->getPrePredicate();
m_postPredicate = node->getPostPredicate();
m_groupByKeySchema = constructGroupBySchema(false);
m_groupByKeyPartialHashSchema = NULL;
if (m_partialSerialGroupByColumns.size() > 0) {
for (int ii = 0; ii < m_groupByExpressions.size(); ii++) {
if (std::find(m_partialSerialGroupByColumns.begin(),
m_partialSerialGroupByColumns.end(), ii)
== m_partialSerialGroupByColumns.end() )
{
// Find the partial hash group by columns
m_partialHashGroupByColumns.push_back(ii);;
}
}
m_groupByKeyPartialHashSchema = constructGroupBySchema(true);
}
return true;
}
bool AggregateExecutorBase::p_init(AbstractPlanNode*, TempTableLimits* limits)
{
AggregatePlanNode* node = dynamic_cast<AggregatePlanNode*>(m_abstractNode);
assert(node);
assert(node->getChildren().size() == 1);
assert(node->getChildren()[0] != NULL);
m_inputExpressions = node->getAggregateInputExpressions();
for (int i = 0; i < m_inputExpressions.size(); i++) {
VOLT_DEBUG("\nAGG INPUT EXPRESSION: %s\n",
m_inputExpressions[i] ? m_inputExpressions[i]->debug().c_str() : "null");
}
/*
* Find the difference between the set of aggregate output columns
* (output columns resulting from an aggregate) and output columns.
* Columns that are not the result of aggregates are being passed
* through from the input table. Do this extra work here rather then
* serialize yet more data.
*/
std::vector<bool> outputColumnsResultingFromAggregates(node->getOutputSchema().size(), false);
std::vector<int> aggregateOutputColumns = node->getAggregateOutputColumns();
BOOST_FOREACH(int aOC, aggregateOutputColumns) {
outputColumnsResultingFromAggregates[aOC] = true;
}
/*
* Now collect the indices in the output table of the pass
* through columns.
*/
for (int ii = 0; ii < outputColumnsResultingFromAggregates.size(); ii++) {
if (outputColumnsResultingFromAggregates[ii] == false) {
m_passThroughColumns.push_back(ii);
}
}
setTempOutputTable(limits);
m_aggTypes = node->getAggregates();
m_distinctAggs = node->getDistinctAggregates();
m_groupByExpressions = node->getGroupByExpressions();
node->collectOutputExpressions(m_outputColumnExpressions);
m_aggregateOutputColumns = node->getAggregateOutputColumns();
m_prePredicate = node->getPrePredicate();
m_postPredicate = node->getPostPredicate();
std::vector<ValueType> groupByColumnTypes;
std::vector<int32_t> groupByColumnSizes;
std::vector<bool> groupByColumnAllowNull;
for (int ii = 0; ii < m_groupByExpressions.size(); ii++) {
AbstractExpression* expr = m_groupByExpressions[ii];
groupByColumnTypes.push_back(expr->getValueType());
groupByColumnSizes.push_back(expr->getValueSize());
groupByColumnAllowNull.push_back(true);
}
m_groupByKeySchema = TupleSchema::createTupleSchema(groupByColumnTypes,
groupByColumnSizes,
groupByColumnAllowNull,
true);
return true;
}