/**
* Perform operator-specific checks of input and return the shape of the output. Currently,
* the output array must exist.
* @param schemas the shapes of the input arrays
* @param query the query context
*/
ArrayDesc inferSchema(std::vector< ArrayDesc> schemas, std::shared_ptr< Query> query)
{
SCIDB_ASSERT(schemas.size() == 1);
SCIDB_ASSERT(_parameters.size() == 1);
string arrayNameOrg =
((std::shared_ptr<OperatorParamReference>&)_parameters[0])->getObjectName();
SCIDB_ASSERT(ArrayDesc::isNameUnversioned(arrayNameOrg));
//Ensure attributes names uniqueness.
std::string arrayName;
std::string namespaceName;
query->getNamespaceArrayNames(arrayNameOrg, namespaceName, arrayName);
ArrayDesc dstDesc;
ArrayDesc const& srcDesc = schemas[0];
ArrayID arrayId = query->getCatalogVersion(namespaceName, arrayName);
bool fArrayDesc = scidb::namespaces::Communicator::getArrayDesc(
namespaceName, arrayName, arrayId, dstDesc, false);
if (!fArrayDesc) {
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_ARRAY_DOESNT_EXIST) << arrayName;
}
ArrayDesc::checkConformity(srcDesc, dstDesc,
ArrayDesc::IGNORE_PSCHEME |
ArrayDesc::IGNORE_OVERLAP |
ArrayDesc::IGNORE_INTERVAL); // allows auto-repart()
SCIDB_ASSERT(dstDesc.getId() == dstDesc.getUAId());
SCIDB_ASSERT(dstDesc.getName() == arrayName);
SCIDB_ASSERT(dstDesc.getUAId() > 0);
return dstDesc;
}
//param desc --> the input array schema
inline ArrayDesc createWindowDesc(ArrayDesc const& desc)
{
//get dimensions for output array
Dimensions const& dims = desc.getDimensions();
Dimensions aggrDims(dims.size());
for (size_t i = 0; i < dims.size(); i++)
{
DimensionDesc const& srcDim = dims[i];
aggrDims[i] = DimensionDesc(srcDim.getBaseName(),
srcDim.getNamesAndAliases(),
srcDim.getStartMin(),
srcDim.getCurrStart(),
srcDim.getCurrEnd(),
srcDim.getEndMax(),
srcDim.getChunkInterval(),
0);
}
ArrayDesc output(desc.getName(), Attributes(), aggrDims);
//get the aggregates, check if they make sense, make attributes for output array
//_parameters[0~dims.size()*2-1] --> window boundaries, already get in inferSchema
for (size_t i = dims.size()*2; i < _parameters.size(); i++)
{
boost::shared_ptr<scidb::OperatorParam> param = _parameters[i];
if ( param->getParamType() != PARAM_AGGREGATE_CALL) {
throw USER_QUERY_EXCEPTION(SCIDB_SE_INFER_SCHEMA,
SCIDB_LE_OP_WINDOW_ERROR5,
_parameters[i]->getParsingContext());
}
addAggregatedAttribute( (shared_ptr<OperatorParamAggregateCall> &) param, desc, output, true);
}
if ( desc.getEmptyBitmapAttribute()) //?
{
AttributeDesc const* eAttr = desc.getEmptyBitmapAttribute();
output.addAttribute(AttributeDesc(output.getAttributes().size(),
eAttr->getName(),
eAttr->getType(),
eAttr->getFlags(),
eAttr->getDefaultCompressionMethod()));
}
return output;
}
inline ArrayDesc createWindowDesc(ArrayDesc const& desc)
{
Dimensions const& dims = desc.getDimensions();
Dimensions aggDims(dims.size());
for (size_t i = 0, n = dims.size(); i < n; i++)
{
DimensionDesc const& srcDim = dims[i];
aggDims[i] = DimensionDesc(srcDim.getBaseName(),
srcDim.getNamesAndAliases(),
srcDim.getStartMin(),
srcDim.getCurrStart(),
srcDim.getCurrEnd(),
srcDim.getEndMax(),
srcDim.getChunkInterval(),
0,
srcDim.getType(),
srcDim.getFlags(),
srcDim.getMappingArrayName(),
srcDim.getComment(),
srcDim.getFuncMapOffset(),
srcDim.getFuncMapScale());
}
ArrayDesc output (desc.getName(), Attributes(), aggDims);
for (size_t i = dims.size() * 2, size = _parameters.size(); i < size; i++)
{
addAggregatedAttribute( (shared_ptr <OperatorParamAggregateCall> &) _parameters[i], desc, output);
}
if ( desc.getEmptyBitmapAttribute())
{
AttributeDesc const* eAtt = desc.getEmptyBitmapAttribute();
output.addAttribute(AttributeDesc(output.getAttributes().size(), eAtt->getName(),
eAtt->getType(), eAtt->getFlags(), eAtt->getDefaultCompressionMethod()));
}
return output;
}
//param desc --> the input array schema
ArrayDesc createWindowDesc(ArrayDesc const& desc)
{
//get dimensions for output array
Attributes const &attrs = desc.getAttributes();
/*
Dimensions aggrDims(dims.size());
for (size_t i = 0; i < dims.size(); i++)
{
DimensionDesc const& srcDim = dims[i];
aggrDims[i] = DimensionDesc(srcDim.getBaseName(),
srcDim.getNamesAndAliases(),
srcDim.getStartMin(),
srcDim.getCurrStart(),
srcDim.getCurrEnd(),
srcDim.getEndMax(),
srcDim.getChunkInterval(),
0);
}
*/
Attributes newAttributes;
size_t n = 0;
for (size_t i=desc.getDimensions().size()*2; i < _parameters.size()-1; i=i+2)
{
const AttributeDesc &attr = attrs[((boost::shared_ptr<OperatorParamReference>&)_parameters[i])->getObjectNo()];
newAttributes.push_back(AttributeDesc(n, attr.getName(),
attr.getType(),
attr.getFlags(),
attr.getDefaultCompressionMethod(),
attr.getAliases()));
}
return ArrayDesc(desc.getName(), newAttributes, desc.getDimensions());
}
ArrayDesc inferSchema(std::vector< ArrayDesc> schemas, boost::shared_ptr< Query> query)
{
assert(schemas.size() == 1);
ArrayDesc const& srcDesc = schemas[0];
ArrayDesc dstDesc = ((boost::shared_ptr<OperatorParamSchema>&)_parameters[0])->getSchema();
//Compile a desc of all possible attributes (aggregate calls first) and source dimensions
ArrayDesc aggregationDesc (srcDesc.getName(), Attributes(), srcDesc.getDimensions());
vector<string> aggregatedNames;
//add aggregate calls first
for (size_t i = 1; i < _parameters.size(); i++)
{
addAggregatedAttribute( (shared_ptr <OperatorParamAggregateCall>&) _parameters[i], srcDesc, aggregationDesc);
string aggName = aggregationDesc.getAttributes()[aggregationDesc.getAttributes().size()-1].getName();
bool aggFound = false;
BOOST_FOREACH(const AttributeDesc &dstAttr, dstDesc.getAttributes()) {
if (dstAttr.getName() == aggName) {
aggFound = true;
break;
}
}
if (!aggFound) {
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_ATTRIBUTE_DOESNT_EXIST) << aggName << dstDesc.getName();
}
aggregatedNames.push_back(aggName);
}
//add other attributes
BOOST_FOREACH(const AttributeDesc &srcAttr, srcDesc.getAttributes())
{
//if there's an attribute with same name as an aggregate call - skip the attribute
bool found = false;
BOOST_FOREACH(const AttributeDesc &aggAttr, aggregationDesc.getAttributes())
{
if( aggAttr.getName() == srcAttr.getName())
{
found = true;
}
}
if (!found)
{
aggregationDesc.addAttribute(AttributeDesc( aggregationDesc.getAttributes().size(),
srcAttr.getName(),
srcAttr.getType(),
srcAttr.getFlags(),
srcAttr.getDefaultCompressionMethod(),
srcAttr.getAliases(),
&srcAttr.getDefaultValue(),
srcAttr.getDefaultValueExpr(),
srcAttr.getVarSize()));
}
}
//Ensure attributes names uniqueness.
if (!dstDesc.getEmptyBitmapAttribute())
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_OP_REDIMENSION_ERROR1);
BOOST_FOREACH(const AttributeDesc &dstAttr, dstDesc.getAttributes())
{
BOOST_FOREACH(const AttributeDesc &srcAttr, aggregationDesc.getAttributes())
{
if (srcAttr.getName() == dstAttr.getName())
{
if (srcAttr.getType() != dstAttr.getType())
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_WRONG_ATTRIBUTE_TYPE)
<< srcAttr.getName() << srcAttr.getType() << dstAttr.getType();
}
if (!dstAttr.isNullable() && srcAttr.isNullable())
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_WRONG_ATTRIBUTE_FLAGS)
<< srcAttr.getName();
}
goto NextAttr;
}
}
BOOST_FOREACH(const DimensionDesc &srcDim, aggregationDesc.getDimensions())
{
if (srcDim.hasNameAndAlias(dstAttr.getName()))
{
if (dstAttr.getType() != TID_INT64)
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_WRONG_DESTINATION_ATTRIBUTE_TYPE)
<< dstAttr.getName() << TID_INT64;
}
if (dstAttr.getFlags() != 0)
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_WRONG_DESTINATION_ATTRIBUTE_FLAGS)
<< dstAttr.getName();
}
goto NextAttr;
}
}
if (dstAttr.isEmptyIndicator() == false)
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_UNEXPECTED_DESTINATION_ATTRIBUTE)
<< dstAttr.getName();
}
NextAttr:;
}
Dimensions outputDims;
size_t nNewDims = 0;
BOOST_FOREACH(const DimensionDesc &dstDim, dstDesc.getDimensions())
{
if (dstDim.getChunkOverlap() > dstDim.getChunkInterval())
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_OVERLAP_CANT_BE_LARGER_CHUNK);
}
BOOST_FOREACH(const AttributeDesc &srcAttr, aggregationDesc.getAttributes())
{
if (dstDim.hasNameAndAlias(srcAttr.getName()))
{
for (size_t i = 0; i< aggregatedNames.size(); i++)
{
if (srcAttr.getName() == aggregatedNames[i])
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_OP_REDIMENSION_ERROR2);
}
if ( !IS_INTEGRAL(srcAttr.getType()) || srcAttr.getType() == TID_UINT64 )
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_WRONG_SOURCE_ATTRIBUTE_TYPE)
<< srcAttr.getName() << TID_INT64;
}
outputDims.push_back(dstDim);
goto NextDim;
}
}
BOOST_FOREACH(const DimensionDesc &srcDim, aggregationDesc.getDimensions())
{
if (srcDim.hasNameAndAlias(dstDim.getBaseName()))
{
DimensionDesc outputDim = dstDim;
outputDims.push_back(outputDim);
goto NextDim;
}
}
//one synthetic dimension allowed
if (nNewDims++ != 0 || !aggregatedNames.empty() )
{
throw USER_EXCEPTION(SCIDB_SE_INFER_SCHEMA, SCIDB_LE_UNEXPECTED_DESTINATION_DIMENSION) << dstDim.getBaseName();
}
outputDims.push_back(dstDim);
NextDim:;
}
return ArrayDesc(srcDesc.getName(), dstDesc.getAttributes(), outputDims, dstDesc.getFlags());
}
void InputArray::redistributeShadowArray(boost::shared_ptr<Query> const& query)
{
SCIDB_ASSERT(shadowArray);
//All arrays are currently stored as round-robin. Let's store shadow arrays round-robin as well
//TODO: revisit this when we allow users to store arrays with specified distributions
PartitioningSchema ps = psHashPartitioned;
ArrayDesc shadowArrayDesc = shadowArray->getArrayDesc();
string shadowArrayVersionName;
LOG4CXX_DEBUG(logger, "Redistribute shadow array " << shadowArrayDesc.getName());
if (! query->isCoordinator()) {
// worker
string shadowArrayName = shadowArrayDesc.getName();
SCIDB_ASSERT(ArrayDesc::isNameUnversioned(shadowArrayName));
shared_ptr<SystemCatalog::LockDesc> lock(new SystemCatalog::LockDesc(shadowArrayName,
query->getQueryID(),
Cluster::getInstance()->getLocalInstanceId(),
SystemCatalog::LockDesc::WORKER,
SystemCatalog::LockDesc::WR));
shared_ptr<Query::ErrorHandler> ptr(new UpdateErrorHandler(lock));
query->pushErrorHandler(ptr);
Query::Finalizer f = bind(&UpdateErrorHandler::releaseLock, lock, _1);
query->pushFinalizer(f);
SystemCatalog::ErrorChecker errorChecker = bind(&Query::validate, query);
if (!SystemCatalog::getInstance()->lockArray(lock, errorChecker)) {
throw USER_EXCEPTION(SCIDB_SE_SYSCAT, SCIDB_LE_CANT_INCREMENT_LOCK) << shadowArrayName;
}
ArrayDesc desc;
bool arrayExists = SystemCatalog::getInstance()->getArrayDesc(shadowArrayName, desc, false);
VersionID lastVersion = 0;
if (arrayExists) {
lastVersion = SystemCatalog::getInstance()->getLastVersion(desc.getId());
}
VersionID version = lastVersion+1;
lock->setArrayVersion(version);
bool rc = SystemCatalog::getInstance()->updateArrayLock(lock);
SCIDB_ASSERT(rc);
LOG4CXX_DEBUG(logger, "Use version " << version << " of shadow array " << shadowArrayName);
shadowArrayVersionName = ArrayDesc::makeVersionedName(shadowArrayName, version);
} else {
// coordinator
shadowArrayVersionName = shadowArrayDesc.getName();
SCIDB_ASSERT(ArrayDesc::isNameVersioned(shadowArrayVersionName));
}
shared_ptr<Array> persistentShadowArray(DBArray::newDBArray(shadowArrayVersionName, query));
ArrayDesc const& dstArrayDesc = persistentShadowArray->getArrayDesc();
query->getReplicationContext()->enableInboundQueue(dstArrayDesc.getId(),
persistentShadowArray);
set<Coordinates, CoordinatesLess> newChunkCoordinates;
redistributeToArray(shadowArray, persistentShadowArray, &newChunkCoordinates,
query, ps,
ALL_INSTANCE_MASK,
boost::shared_ptr <DistributionMapper>(),
0,
shared_ptr<PartitioningSchemaData>());
StorageManager::getInstance().removeDeadChunks(dstArrayDesc, newChunkCoordinates, query);
query->getReplicationContext()->replicationSync(dstArrayDesc.getId());
query->getReplicationContext()->removeInboundQueue(dstArrayDesc.getId());
StorageManager::getInstance().flush();
PhysicalBoundaries bounds = PhysicalBoundaries::createFromChunkList(persistentShadowArray,
newChunkCoordinates);
SystemCatalog::getInstance()->updateArrayBoundaries(dstArrayDesc, bounds);
// XXX TODO: add: getInjectedErrorListener().check();
}
