use of org.apache.asterix.metadata.entities.InternalDatasetDetails in project asterixdb by apache.
the class DatasetTupleTranslator method createDatasetFromARecord.
protected Dataset createDatasetFromARecord(ARecord datasetRecord) throws HyracksDataException {
String dataverseName = ((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_DATAVERSENAME_FIELD_INDEX)).getStringValue();
String datasetName = ((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_DATASETNAME_FIELD_INDEX)).getStringValue();
String typeName = ((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_DATATYPENAME_FIELD_INDEX)).getStringValue();
String typeDataverseName = ((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_DATATYPEDATAVERSENAME_FIELD_INDEX)).getStringValue();
DatasetType datasetType = DatasetType.valueOf(((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_DATASETTYPE_FIELD_INDEX)).getStringValue());
IDatasetDetails datasetDetails = null;
int datasetId = ((AInt32) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_DATASETID_FIELD_INDEX)).getIntegerValue();
int pendingOp = ((AInt32) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_PENDINGOP_FIELD_INDEX)).getIntegerValue();
String nodeGroupName = ((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_GROUPNAME_FIELD_INDEX)).getStringValue();
String compactionPolicy = ((AString) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_COMPACTION_POLICY_FIELD_INDEX)).getStringValue();
IACursor cursor = ((AOrderedList) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_COMPACTION_POLICY_PROPERTIES_FIELD_INDEX)).getCursor();
Map<String, String> compactionPolicyProperties = new LinkedHashMap<>();
String key;
String value;
while (cursor.next()) {
ARecord field = (ARecord) cursor.get();
key = ((AString) field.getValueByPos(MetadataRecordTypes.PROPERTIES_NAME_FIELD_INDEX)).getStringValue();
value = ((AString) field.getValueByPos(MetadataRecordTypes.PROPERTIES_VALUE_FIELD_INDEX)).getStringValue();
compactionPolicyProperties.put(key, value);
}
switch(datasetType) {
case INTERNAL:
{
ARecord datasetDetailsRecord = (ARecord) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_INTERNALDETAILS_FIELD_INDEX);
FileStructure fileStructure = FileStructure.valueOf(((AString) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.INTERNAL_DETAILS_ARECORD_FILESTRUCTURE_FIELD_INDEX)).getStringValue());
PartitioningStrategy partitioningStrategy = PartitioningStrategy.valueOf(((AString) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.INTERNAL_DETAILS_ARECORD_PARTITIONSTRATEGY_FIELD_INDEX)).getStringValue());
cursor = ((AOrderedList) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.INTERNAL_DETAILS_ARECORD_PARTITIONKEY_FIELD_INDEX)).getCursor();
List<List<String>> partitioningKey = new ArrayList<>();
List<IAType> partitioningKeyType = new ArrayList<>();
AOrderedList fieldNameList;
while (cursor.next()) {
fieldNameList = (AOrderedList) cursor.get();
IACursor nestedFieldNameCursor = (fieldNameList.getCursor());
List<String> nestedFieldName = new ArrayList<>();
while (nestedFieldNameCursor.next()) {
nestedFieldName.add(((AString) nestedFieldNameCursor.get()).getStringValue());
}
partitioningKey.add(nestedFieldName);
partitioningKeyType.add(BuiltinType.ASTRING);
}
boolean autogenerated = ((ABoolean) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.INTERNAL_DETAILS_ARECORD_AUTOGENERATED_FIELD_INDEX)).getBoolean();
// Check if there is a filter field.
List<String> filterField = null;
int filterFieldPos = datasetDetailsRecord.getType().getFieldIndex(InternalDatasetDetails.FILTER_FIELD_NAME);
if (filterFieldPos >= 0) {
filterField = new ArrayList<>();
cursor = ((AOrderedList) datasetDetailsRecord.getValueByPos(filterFieldPos)).getCursor();
while (cursor.next()) {
filterField.add(((AString) cursor.get()).getStringValue());
}
}
// Read a field-source-indicator field.
List<Integer> keyFieldSourceIndicator = new ArrayList<>();
int keyFieldSourceIndicatorIndex = datasetDetailsRecord.getType().getFieldIndex(InternalDatasetDetails.KEY_FILD_SOURCE_INDICATOR_FIELD_NAME);
if (keyFieldSourceIndicatorIndex >= 0) {
cursor = ((AOrderedList) datasetDetailsRecord.getValueByPos(keyFieldSourceIndicatorIndex)).getCursor();
while (cursor.next()) {
keyFieldSourceIndicator.add((int) ((AInt8) cursor.get()).getByteValue());
}
} else {
for (int index = 0; index < partitioningKey.size(); ++index) {
keyFieldSourceIndicator.add(0);
}
}
// Temporary dataset only lives in the compiler therefore the temp field is false.
// DatasetTupleTranslator always read from the metadata node, so the temp flag should be always false.
datasetDetails = new InternalDatasetDetails(fileStructure, partitioningStrategy, partitioningKey, partitioningKey, keyFieldSourceIndicator, partitioningKeyType, autogenerated, filterField, false);
break;
}
case EXTERNAL:
ARecord datasetDetailsRecord = (ARecord) datasetRecord.getValueByPos(MetadataRecordTypes.DATASET_ARECORD_EXTERNALDETAILS_FIELD_INDEX);
String adapter = ((AString) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.EXTERNAL_DETAILS_ARECORD_DATASOURCE_ADAPTER_FIELD_INDEX)).getStringValue();
cursor = ((AOrderedList) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.EXTERNAL_DETAILS_ARECORD_PROPERTIES_FIELD_INDEX)).getCursor();
Map<String, String> properties = new HashMap<>();
while (cursor.next()) {
ARecord field = (ARecord) cursor.get();
key = ((AString) field.getValueByPos(MetadataRecordTypes.PROPERTIES_NAME_FIELD_INDEX)).getStringValue();
value = ((AString) field.getValueByPos(MetadataRecordTypes.PROPERTIES_VALUE_FIELD_INDEX)).getStringValue();
properties.put(key, value);
}
// Timestamp
Date timestamp = new Date((((ADateTime) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.EXTERNAL_DETAILS_ARECORD_LAST_REFRESH_TIME_FIELD_INDEX))).getChrononTime());
// State
TransactionState state = TransactionState.values()[((AInt32) datasetDetailsRecord.getValueByPos(MetadataRecordTypes.EXTERNAL_DETAILS_ARECORD_TRANSACTION_STATE_FIELD_INDEX)).getIntegerValue()];
datasetDetails = new ExternalDatasetDetails(adapter, properties, timestamp, state);
}
Map<String, String> hints = getDatasetHints(datasetRecord);
String metaTypeDataverseName = null;
String metaTypeName = null;
int metaTypeDataverseNameIndex = datasetRecord.getType().getFieldIndex(MetadataRecordTypes.FIELD_NAME_METADATA_DATAVERSE);
if (metaTypeDataverseNameIndex >= 0) {
metaTypeDataverseName = ((AString) datasetRecord.getValueByPos(metaTypeDataverseNameIndex)).getStringValue();
int metaTypeNameIndex = datasetRecord.getType().getFieldIndex(MetadataRecordTypes.FIELD_NAME_METATYPE_NAME);
metaTypeName = ((AString) datasetRecord.getValueByPos(metaTypeNameIndex)).getStringValue();
}
// Read the rebalance count if there is one.
int rebalanceCountIndex = datasetRecord.getType().getFieldIndex(REBALANCE_ID_FIELD_NAME);
long rebalanceCount = rebalanceCountIndex >= 0 ? ((AInt64) datasetRecord.getValueByPos(rebalanceCountIndex)).getLongValue() : 0;
return new Dataset(dataverseName, datasetName, typeDataverseName, typeName, metaTypeDataverseName, metaTypeName, nodeGroupName, compactionPolicy, compactionPolicyProperties, datasetDetails, hints, datasetType, datasetId, pendingOp, rebalanceCount);
}
use of org.apache.asterix.metadata.entities.InternalDatasetDetails in project asterixdb by apache.
the class DatasetDataSource method initInternalDataset.
private void initInternalDataset(IAType itemType, IAType metaItemType, IDatasetDetails datasetDetails) throws AlgebricksException {
InternalDatasetDetails internalDatasetDetails = (InternalDatasetDetails) datasetDetails;
ARecordType recordType = (ARecordType) itemType;
ARecordType metaRecordType = (ARecordType) metaItemType;
List<IAType> partitioningKeyTypes = KeyFieldTypeUtil.getPartitioningKeyTypes(internalDatasetDetails, recordType, metaRecordType);
int n = partitioningKeyTypes.size();
schemaTypes = metaItemType == null ? new IAType[n + 1] : new IAType[n + 2];
for (int keyIndex = 0; keyIndex < n; ++keyIndex) {
schemaTypes[keyIndex] = partitioningKeyTypes.get(keyIndex);
}
schemaTypes[n] = itemType;
if (metaItemType != null) {
schemaTypes[n + 1] = metaItemType;
}
}
use of org.apache.asterix.metadata.entities.InternalDatasetDetails in project asterixdb by apache.
the class IntroduceSecondaryIndexInsertDeleteRule method rewritePost.
@Override
public boolean rewritePost(Mutable<ILogicalOperator> opRef, IOptimizationContext context) throws AlgebricksException {
AbstractLogicalOperator op0 = (AbstractLogicalOperator) opRef.getValue();
if (op0.getOperatorTag() != LogicalOperatorTag.DELEGATE_OPERATOR && op0.getOperatorTag() != LogicalOperatorTag.SINK) {
return false;
}
if (op0.getOperatorTag() == LogicalOperatorTag.DELEGATE_OPERATOR) {
DelegateOperator eOp = (DelegateOperator) op0;
if (!(eOp.getDelegate() instanceof CommitOperator)) {
return false;
}
}
AbstractLogicalOperator op1 = (AbstractLogicalOperator) op0.getInputs().get(0).getValue();
if (op1.getOperatorTag() != LogicalOperatorTag.INSERT_DELETE_UPSERT) {
return false;
}
/** find the record variable */
InsertDeleteUpsertOperator primaryIndexModificationOp = (InsertDeleteUpsertOperator) op0.getInputs().get(0).getValue();
boolean isBulkload = primaryIndexModificationOp.isBulkload();
ILogicalExpression newRecordExpr = primaryIndexModificationOp.getPayloadExpression().getValue();
List<Mutable<ILogicalExpression>> newMetaExprs = primaryIndexModificationOp.getAdditionalNonFilteringExpressions();
LogicalVariable newRecordVar;
LogicalVariable newMetaVar = null;
/**
* inputOp is the assign operator which extracts primary keys from the input
* variables (record or meta)
*/
AbstractLogicalOperator inputOp = (AbstractLogicalOperator) primaryIndexModificationOp.getInputs().get(0).getValue();
newRecordVar = getRecordVar(context, inputOp, newRecordExpr, 0);
if (newMetaExprs != null && !newMetaExprs.isEmpty()) {
if (newMetaExprs.size() > 1) {
throw new AlgebricksException("Number of meta records can't be more than 1. Number of meta records found = " + newMetaExprs.size());
}
newMetaVar = getRecordVar(context, inputOp, newMetaExprs.get(0).getValue(), 1);
}
/*
* At this point, we have the record variable and the insert/delete/upsert operator
* Note: We have two operators:
* 1. An InsertDeleteOperator (primary)
* 2. An IndexInsertDeleteOperator (secondary)
* The current primaryIndexModificationOp is of the first type
*/
DataSource datasetSource = (DataSource) primaryIndexModificationOp.getDataSource();
MetadataProvider mp = (MetadataProvider) context.getMetadataProvider();
String dataverseName = datasetSource.getId().getDataverseName();
String datasetName = datasetSource.getId().getDatasourceName();
Dataset dataset = mp.findDataset(dataverseName, datasetName);
if (dataset == null) {
throw new AlgebricksException("Unknown dataset " + datasetName + " in dataverse " + dataverseName);
}
if (dataset.getDatasetType() == DatasetType.EXTERNAL) {
return false;
}
// Create operators for secondary index insert / delete.
String itemTypeName = dataset.getItemTypeName();
IAType itemType = mp.findType(dataset.getItemTypeDataverseName(), itemTypeName);
if (itemType.getTypeTag() != ATypeTag.OBJECT) {
throw new AlgebricksException("Only record types can be indexed.");
}
ARecordType recType = (ARecordType) itemType;
// meta type
ARecordType metaType = null;
if (dataset.hasMetaPart()) {
metaType = (ARecordType) mp.findType(dataset.getMetaItemTypeDataverseName(), dataset.getMetaItemTypeName());
}
List<Index> indexes = mp.getDatasetIndexes(dataset.getDataverseName(), dataset.getDatasetName());
// Set the top operator pointer to the primary IndexInsertDeleteOperator
ILogicalOperator currentTop = primaryIndexModificationOp;
boolean hasSecondaryIndex = false;
// Put an n-gram or a keyword index in the later stage of index-update,
// since TokenizeOperator needs to be involved.
Collections.sort(indexes, (o1, o2) -> o1.getIndexType().ordinal() - o2.getIndexType().ordinal());
// At this point, we have the data type info, and the indexes info as well
int secondaryIndexTotalCnt = indexes.size() - 1;
if (secondaryIndexTotalCnt > 0) {
op0.getInputs().clear();
} else {
return false;
}
// Initialize inputs to the SINK operator Op0 (The SINK) is now without input
// Prepare filtering field information (This is the filter created using the "filter with" key word in the
// create dataset ddl)
List<String> filteringFields = ((InternalDatasetDetails) dataset.getDatasetDetails()).getFilterField();
List<LogicalVariable> filteringVars;
List<Mutable<ILogicalExpression>> filteringExpressions = null;
if (filteringFields != null) {
// The filter field var already exists. we can simply get it from the insert op
filteringVars = new ArrayList<>();
filteringExpressions = new ArrayList<>();
for (Mutable<ILogicalExpression> filteringExpression : primaryIndexModificationOp.getAdditionalFilteringExpressions()) {
filteringExpression.getValue().getUsedVariables(filteringVars);
for (LogicalVariable var : filteringVars) {
filteringExpressions.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(var)));
}
}
}
// Replicate Operator is applied only when doing the bulk-load.
ReplicateOperator replicateOp = null;
if (secondaryIndexTotalCnt > 1 && primaryIndexModificationOp.isBulkload()) {
// Split the logical plan into "each secondary index update branch"
// to replicate each <PK,OBJECT> pair.
replicateOp = new ReplicateOperator(secondaryIndexTotalCnt);
replicateOp.getInputs().add(new MutableObject<ILogicalOperator>(currentTop));
replicateOp.setExecutionMode(ExecutionMode.PARTITIONED);
context.computeAndSetTypeEnvironmentForOperator(replicateOp);
currentTop = replicateOp;
}
/*
* The two maps are used to store variables to which [casted] field access is assigned.
* One for the beforeOp record and the other for the new record.
* There are two uses for these maps:
* 1. used for shared fields in indexes with overlapping keys.
* 2. used for setting variables of secondary keys for each secondary index operator.
*/
Map<IndexFieldId, LogicalVariable> fieldVarsForBeforeOperation = new HashMap<>();
Map<IndexFieldId, LogicalVariable> fieldVarsForNewRecord = new HashMap<>();
/*
* if the index is enforcing field types (For open indexes), We add a cast
* operator to ensure type safety
*/
try {
if (primaryIndexModificationOp.getOperation() == Kind.INSERT || primaryIndexModificationOp.getOperation() == Kind.UPSERT || /* Actually, delete should not be here but it is now until issue
* https://issues.apache.org/jira/browse/ASTERIXDB-1507
* is solved
*/
primaryIndexModificationOp.getOperation() == Kind.DELETE) {
injectFieldAccessesForIndexes(context, dataset, indexes, fieldVarsForNewRecord, recType, metaType, newRecordVar, newMetaVar, primaryIndexModificationOp, false);
if (replicateOp != null) {
context.computeAndSetTypeEnvironmentForOperator(replicateOp);
}
}
if (primaryIndexModificationOp.getOperation() == Kind.UPSERT) /* Actually, delete should be here but it is not until issue
* https://issues.apache.org/jira/browse/ASTERIXDB-1507
* is solved
*/
{
List<LogicalVariable> beforeOpMetaVars = primaryIndexModificationOp.getBeforeOpAdditionalNonFilteringVars();
LogicalVariable beforeOpMetaVar = beforeOpMetaVars == null ? null : beforeOpMetaVars.get(0);
currentTop = injectFieldAccessesForIndexes(context, dataset, indexes, fieldVarsForBeforeOperation, recType, metaType, primaryIndexModificationOp.getBeforeOpRecordVar(), beforeOpMetaVar, currentTop, true);
}
} catch (AsterixException e) {
throw new AlgebricksException(e);
}
// At first, op1 is the index insert op insertOp
for (Index index : indexes) {
if (!index.isSecondaryIndex()) {
continue;
}
hasSecondaryIndex = true;
// Get the secondary fields names and types
List<List<String>> secondaryKeyFields = index.getKeyFieldNames();
List<LogicalVariable> secondaryKeyVars = new ArrayList<>();
List<Mutable<ILogicalExpression>> secondaryExpressions = new ArrayList<>();
List<Mutable<ILogicalExpression>> beforeOpSecondaryExpressions = new ArrayList<>();
ILogicalOperator replicateOutput;
for (int i = 0; i < secondaryKeyFields.size(); i++) {
IndexFieldId indexFieldId = new IndexFieldId(index.getKeyFieldSourceIndicators().get(i), secondaryKeyFields.get(i));
LogicalVariable skVar = fieldVarsForNewRecord.get(indexFieldId);
secondaryKeyVars.add(skVar);
secondaryExpressions.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(skVar)));
if (primaryIndexModificationOp.getOperation() == Kind.UPSERT) {
beforeOpSecondaryExpressions.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(fieldVarsForBeforeOperation.get(indexFieldId))));
}
}
IndexInsertDeleteUpsertOperator indexUpdate;
if (index.getIndexType() != IndexType.RTREE) {
// Create an expression per key
Mutable<ILogicalExpression> filterExpression = (primaryIndexModificationOp.getOperation() == Kind.UPSERT) ? null : createFilterExpression(secondaryKeyVars, context.getOutputTypeEnvironment(currentTop), index.isEnforcingKeyFileds());
DataSourceIndex dataSourceIndex = new DataSourceIndex(index, dataverseName, datasetName, mp);
// and index type is keyword or n-gram.
if (index.getIndexType() != IndexType.BTREE && primaryIndexModificationOp.isBulkload()) {
// Note: Bulk load case, we don't need to take care of it for upsert operation
// Check whether the index is length-partitioned or not.
// If partitioned, [input variables to TokenizeOperator,
// token, number of token] pairs will be generated and
// fed into the IndexInsertDeleteOperator.
// If not, [input variables, token] pairs will be generated
// and fed into the IndexInsertDeleteOperator.
// Input variables are passed since TokenizeOperator is not an
// filtering operator.
boolean isPartitioned = index.getIndexType() == IndexType.LENGTH_PARTITIONED_WORD_INVIX || index.getIndexType() == IndexType.LENGTH_PARTITIONED_NGRAM_INVIX;
// Create a new logical variable - token
List<LogicalVariable> tokenizeKeyVars = new ArrayList<>();
List<Mutable<ILogicalExpression>> tokenizeKeyExprs = new ArrayList<>();
LogicalVariable tokenVar = context.newVar();
tokenizeKeyVars.add(tokenVar);
tokenizeKeyExprs.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(tokenVar)));
// Check the field type of the secondary key.
IAType secondaryKeyType;
Pair<IAType, Boolean> keyPairType = Index.getNonNullableOpenFieldType(index.getKeyFieldTypes().get(0), secondaryKeyFields.get(0), recType);
secondaryKeyType = keyPairType.first;
List<Object> varTypes = new ArrayList<>();
varTypes.add(NonTaggedFormatUtil.getTokenType(secondaryKeyType));
// The type is short, and this does not contain type info.
if (isPartitioned) {
LogicalVariable lengthVar = context.newVar();
tokenizeKeyVars.add(lengthVar);
tokenizeKeyExprs.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(lengthVar)));
varTypes.add(BuiltinType.SHORTWITHOUTTYPEINFO);
}
// TokenizeOperator to tokenize [SK, PK] pairs
TokenizeOperator tokenUpdate = new TokenizeOperator(dataSourceIndex, primaryIndexModificationOp.getPrimaryKeyExpressions(), secondaryExpressions, tokenizeKeyVars, filterExpression, primaryIndexModificationOp.getOperation(), primaryIndexModificationOp.isBulkload(), isPartitioned, varTypes);
tokenUpdate.getInputs().add(new MutableObject<ILogicalOperator>(currentTop));
context.computeAndSetTypeEnvironmentForOperator(tokenUpdate);
replicateOutput = tokenUpdate;
indexUpdate = new IndexInsertDeleteUpsertOperator(dataSourceIndex, primaryIndexModificationOp.getPrimaryKeyExpressions(), tokenizeKeyExprs, filterExpression, primaryIndexModificationOp.getOperation(), primaryIndexModificationOp.isBulkload(), primaryIndexModificationOp.getAdditionalNonFilteringExpressions() == null ? 0 : primaryIndexModificationOp.getAdditionalNonFilteringExpressions().size());
indexUpdate.setAdditionalFilteringExpressions(filteringExpressions);
indexUpdate.getInputs().add(new MutableObject<ILogicalOperator>(tokenUpdate));
} else {
// When TokenizeOperator is not needed
indexUpdate = new IndexInsertDeleteUpsertOperator(dataSourceIndex, primaryIndexModificationOp.getPrimaryKeyExpressions(), secondaryExpressions, filterExpression, primaryIndexModificationOp.getOperation(), primaryIndexModificationOp.isBulkload(), primaryIndexModificationOp.getAdditionalNonFilteringExpressions() == null ? 0 : primaryIndexModificationOp.getAdditionalNonFilteringExpressions().size());
indexUpdate.setAdditionalFilteringExpressions(filteringExpressions);
replicateOutput = indexUpdate;
// We add the necessary expressions for upsert
if (primaryIndexModificationOp.getOperation() == Kind.UPSERT) {
indexUpdate.setBeforeOpSecondaryKeyExprs(beforeOpSecondaryExpressions);
if (filteringFields != null) {
indexUpdate.setBeforeOpAdditionalFilteringExpression(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(primaryIndexModificationOp.getBeforeOpFilterVar())));
}
}
indexUpdate.getInputs().add(new MutableObject<ILogicalOperator>(currentTop));
}
} else {
// Get type, dimensions and number of keys
Pair<IAType, Boolean> keyPairType = Index.getNonNullableOpenFieldType(index.getKeyFieldTypes().get(0), secondaryKeyFields.get(0), recType);
IAType spatialType = keyPairType.first;
boolean isPointMBR = spatialType.getTypeTag() == ATypeTag.POINT || spatialType.getTypeTag() == ATypeTag.POINT3D;
int dimension = NonTaggedFormatUtil.getNumDimensions(spatialType.getTypeTag());
int numKeys = (isPointMBR && isBulkload) ? dimension : dimension * 2;
// Get variables and expressions
List<LogicalVariable> keyVarList = new ArrayList<>();
List<Mutable<ILogicalExpression>> keyExprList = new ArrayList<>();
for (int i = 0; i < numKeys; i++) {
LogicalVariable keyVar = context.newVar();
keyVarList.add(keyVar);
AbstractFunctionCallExpression createMBR = new ScalarFunctionCallExpression(FunctionUtil.getFunctionInfo(BuiltinFunctions.CREATE_MBR));
createMBR.getArguments().add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(secondaryKeyVars.get(0))));
createMBR.getArguments().add(new MutableObject<ILogicalExpression>(new ConstantExpression(new AsterixConstantValue(new AInt32(dimension)))));
createMBR.getArguments().add(new MutableObject<ILogicalExpression>(new ConstantExpression(new AsterixConstantValue(new AInt32(i)))));
keyExprList.add(new MutableObject<ILogicalExpression>(createMBR));
}
secondaryExpressions.clear();
for (LogicalVariable secondaryKeyVar : keyVarList) {
secondaryExpressions.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(secondaryKeyVar)));
}
if (isPointMBR && isBulkload) {
//createFieldPermutationForBulkLoadOp(int) for more details.
for (LogicalVariable secondaryKeyVar : keyVarList) {
secondaryExpressions.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(secondaryKeyVar)));
}
}
AssignOperator assignCoordinates = new AssignOperator(keyVarList, keyExprList);
assignCoordinates.getInputs().add(new MutableObject<ILogicalOperator>(currentTop));
context.computeAndSetTypeEnvironmentForOperator(assignCoordinates);
replicateOutput = assignCoordinates;
Mutable<ILogicalExpression> filterExpression = null;
AssignOperator originalAssignCoordinates = null;
// We do something similar for beforeOp key if the operation is an upsert
if (primaryIndexModificationOp.getOperation() == Kind.UPSERT) {
List<LogicalVariable> originalKeyVarList = new ArrayList<>();
List<Mutable<ILogicalExpression>> originalKeyExprList = new ArrayList<>();
// we don't do any filtering since nulls are expected here and there
for (int i = 0; i < numKeys; i++) {
LogicalVariable keyVar = context.newVar();
originalKeyVarList.add(keyVar);
AbstractFunctionCallExpression createMBR = new ScalarFunctionCallExpression(FunctionUtil.getFunctionInfo(BuiltinFunctions.CREATE_MBR));
createMBR.getArguments().add(beforeOpSecondaryExpressions.get(0));
createMBR.getArguments().add(new MutableObject<ILogicalExpression>(new ConstantExpression(new AsterixConstantValue(new AInt32(dimension)))));
createMBR.getArguments().add(new MutableObject<ILogicalExpression>(new ConstantExpression(new AsterixConstantValue(new AInt32(i)))));
originalKeyExprList.add(new MutableObject<ILogicalExpression>(createMBR));
}
beforeOpSecondaryExpressions.clear();
for (LogicalVariable secondaryKeyVar : originalKeyVarList) {
beforeOpSecondaryExpressions.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(secondaryKeyVar)));
}
originalAssignCoordinates = new AssignOperator(originalKeyVarList, originalKeyExprList);
originalAssignCoordinates.getInputs().add(new MutableObject<ILogicalOperator>(assignCoordinates));
context.computeAndSetTypeEnvironmentForOperator(originalAssignCoordinates);
} else {
// We must enforce the filter if the originating spatial type is
// nullable.
boolean forceFilter = keyPairType.second;
filterExpression = createFilterExpression(keyVarList, context.getOutputTypeEnvironment(assignCoordinates), forceFilter);
}
DataSourceIndex dataSourceIndex = new DataSourceIndex(index, dataverseName, datasetName, mp);
indexUpdate = new IndexInsertDeleteUpsertOperator(dataSourceIndex, primaryIndexModificationOp.getPrimaryKeyExpressions(), secondaryExpressions, filterExpression, primaryIndexModificationOp.getOperation(), primaryIndexModificationOp.isBulkload(), primaryIndexModificationOp.getAdditionalNonFilteringExpressions() == null ? 0 : primaryIndexModificationOp.getAdditionalNonFilteringExpressions().size());
indexUpdate.setAdditionalFilteringExpressions(filteringExpressions);
if (primaryIndexModificationOp.getOperation() == Kind.UPSERT) {
// set before op secondary key expressions
if (filteringFields != null) {
indexUpdate.setBeforeOpAdditionalFilteringExpression(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(primaryIndexModificationOp.getBeforeOpFilterVar())));
}
// set filtering expressions
indexUpdate.setBeforeOpSecondaryKeyExprs(beforeOpSecondaryExpressions);
// assign --> assign beforeOp values --> secondary index upsert
indexUpdate.getInputs().add(new MutableObject<ILogicalOperator>(originalAssignCoordinates));
} else {
indexUpdate.getInputs().add(new MutableObject<ILogicalOperator>(assignCoordinates));
}
}
context.computeAndSetTypeEnvironmentForOperator(indexUpdate);
if (!primaryIndexModificationOp.isBulkload() || secondaryIndexTotalCnt == 1) {
currentTop = indexUpdate;
} else {
replicateOp.getOutputs().add(new MutableObject<>(replicateOutput));
}
if (primaryIndexModificationOp.isBulkload()) {
// For bulk load, we connect all fanned out insert operator to a single SINK operator
op0.getInputs().add(new MutableObject<ILogicalOperator>(indexUpdate));
}
}
if (!hasSecondaryIndex) {
return false;
}
if (!primaryIndexModificationOp.isBulkload()) {
// If this is an upsert, we need to
// Remove the current input to the SINK operator (It is actually already removed above)
op0.getInputs().clear();
// Connect the last index update to the SINK
op0.getInputs().add(new MutableObject<ILogicalOperator>(currentTop));
}
return true;
}
use of org.apache.asterix.metadata.entities.InternalDatasetDetails in project asterixdb by apache.
the class RemoveUnusedOneToOneEquiJoinRule method fillPKVars.
private void fillPKVars(DataSourceScanOperator dataScan, List<LogicalVariable> pkVars) {
pkVars.clear();
DatasetDataSource datasetDataSource = (DatasetDataSource) dataScan.getDataSource();
pkVars.clear();
if (datasetDataSource.getDataset().getDatasetDetails() instanceof InternalDatasetDetails) {
int numPKs = datasetDataSource.getDataset().getPrimaryKeys().size();
for (int i = 0; i < numPKs; i++) {
pkVars.add(dataScan.getVariables().get(i));
}
}
}
use of org.apache.asterix.metadata.entities.InternalDatasetDetails in project asterixdb by apache.
the class IntroduceAutogenerateIDRule method rewritePost.
@Override
public boolean rewritePost(Mutable<ILogicalOperator> opRef, IOptimizationContext context) throws AlgebricksException {
// match: commit OR distribute-result OR SINK - ... followed by:
// [insert to internal dataset with autogenerated id] - assign - project
// produce: insert - assign - assign* - project
// **
// OR [insert to internal dataset with autogenerated id] - assign - [datasource scan]
// produce insert - assign - assign* - datasource scan
AbstractLogicalOperator currentOp = (AbstractLogicalOperator) opRef.getValue();
if (currentOp.getOperatorTag() == LogicalOperatorTag.DELEGATE_OPERATOR) {
DelegateOperator dOp = (DelegateOperator) currentOp;
if (!(dOp.getDelegate() instanceof CommitOperator)) {
return false;
} else if (!((CommitOperator) dOp.getDelegate()).isSink()) {
return false;
}
} else if (currentOp.getOperatorTag() != LogicalOperatorTag.DISTRIBUTE_RESULT && currentOp.getOperatorTag() != LogicalOperatorTag.SINK) {
return false;
}
ArrayDeque<AbstractLogicalOperator> opStack = new ArrayDeque<>();
opStack.push(currentOp);
while (currentOp.getInputs().size() == 1) {
currentOp = (AbstractLogicalOperator) currentOp.getInputs().get(0).getValue();
if (currentOp.getOperatorTag() == LogicalOperatorTag.INSERT_DELETE_UPSERT) {
break;
}
opStack.push(currentOp);
}
if (currentOp.getOperatorTag() != LogicalOperatorTag.INSERT_DELETE_UPSERT) {
return false;
}
InsertDeleteUpsertOperator insertOp = (InsertDeleteUpsertOperator) currentOp;
if (insertOp.getOperation() != Kind.INSERT && insertOp.getOperation() != Kind.UPSERT) {
return false;
}
DatasetDataSource dds = (DatasetDataSource) insertOp.getDataSource();
boolean autogenerated = ((InternalDatasetDetails) dds.getDataset().getDatasetDetails()).isAutogenerated();
if (!autogenerated) {
return false;
}
if (((DataSource) insertOp.getDataSource()).getDatasourceType() != Type.INTERNAL_DATASET) {
return false;
}
AbstractLogicalOperator parentOp = (AbstractLogicalOperator) currentOp.getInputs().get(0).getValue();
if (parentOp.getOperatorTag() != LogicalOperatorTag.ASSIGN) {
return false;
}
AssignOperator assignOp = (AssignOperator) parentOp;
LogicalVariable inputRecord;
//TODO: bug here. will not work for internal datasets with filters since the pattern becomes
//[project-assign-assign-insert]
AbstractLogicalOperator grandparentOp = (AbstractLogicalOperator) parentOp.getInputs().get(0).getValue();
if (grandparentOp.getOperatorTag() == LogicalOperatorTag.PROJECT) {
ProjectOperator projectOp = (ProjectOperator) grandparentOp;
inputRecord = projectOp.getVariables().get(0);
} else if (grandparentOp.getOperatorTag() == LogicalOperatorTag.DATASOURCESCAN) {
DataSourceScanOperator dssOp = (DataSourceScanOperator) grandparentOp;
inputRecord = dssOp.getVariables().get(0);
} else {
return false;
}
List<String> pkFieldName = ((InternalDatasetDetails) dds.getDataset().getDatasetDetails()).getPrimaryKey().get(0);
ILogicalExpression rec0 = new VariableReferenceExpression(inputRecord);
ILogicalExpression rec1 = createPrimaryKeyRecordExpression(pkFieldName);
ILogicalExpression mergedRec = createRecordMergeFunction(rec0, rec1);
ILogicalExpression nonNullMergedRec = createNotNullFunction(mergedRec);
LogicalVariable v = context.newVar();
AssignOperator newAssign = new AssignOperator(v, new MutableObject<ILogicalExpression>(nonNullMergedRec));
newAssign.getInputs().add(new MutableObject<ILogicalOperator>(grandparentOp));
assignOp.getInputs().set(0, new MutableObject<ILogicalOperator>(newAssign));
VariableUtilities.substituteVariables(assignOp, inputRecord, v, context);
VariableUtilities.substituteVariables(insertOp, inputRecord, v, context);
context.computeAndSetTypeEnvironmentForOperator(newAssign);
context.computeAndSetTypeEnvironmentForOperator(assignOp);
context.computeAndSetTypeEnvironmentForOperator(insertOp);
;
for (AbstractLogicalOperator op : opStack) {
VariableUtilities.substituteVariables(op, inputRecord, v, context);
context.computeAndSetTypeEnvironmentForOperator(op);
}
return true;
}
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