def init_docs(self):
if not hasattr(self.ws, 'doc_gen') or self.ws.doc_gen == 'basic':
self.docs = Document(self.ws.size)
elif self.ws.doc_gen == 'string':
self.docs = String(self.ws.size)
elif self.ws.doc_gen == 'nested':
self.docs = NestedDocument(self.ws.size)
elif self.ws.doc_gen == 'reverse_lookup':
self.docs = ReverseLookupDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'reverse_range_lookup':
self.docs = ReverseRangeLookupDocument(self.ws.size,
self.ts.prefix,
self.ws.range_distance)
elif self.ws.doc_gen == 'ext_reverse_lookup':
self.docs = ExtReverseLookupDocument(self.ws.size, self.ts.prefix,
self.ws.items)
elif self.ws.doc_gen == 'hash_join':
self.docs = HashJoinDocument(self.ws.size, self.ts.prefix,
self.ws.range_distance)
elif self.ws.doc_gen == 'join':
self.docs = JoinedDocument(self.ws.size, self.ts.prefix,
self.ws.items, self.ws.num_categories,
self.ws.num_replies)
elif self.ws.doc_gen == 'ref':
self.docs = RefDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'array_indexing':
self.docs = ArrayIndexingDocument(self.ws.size, self.ts.prefix,
self.ws.array_size,
self.ws.items)
elif self.ws.doc_gen == 'profile':
self.docs = ProfileDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'import_export_simple':
self.docs = ImportExportDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'import_export_array':
self.docs = ImportExportDocumentArray(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'import_export_nested':
self.docs = ImportExportDocumentNested(self.ws.size,
self.ts.prefix)
elif self.ws.doc_gen == 'large':
self.docs = LargeDocument(self.ws.size)
elif self.ws.doc_gen == 'gsi_multiindex':
self.docs = GSIMultiIndexDocument(self.ws.size)
elif self.ws.doc_gen == 'small_plasma':
self.docs = SmallPlasmaDocument(self.ws.size)
elif self.ws.doc_gen == 'sequential_plasma':
self.docs = SequentialPlasmaDocument(self.ws.size)
elif self.ws.doc_gen == 'large_item_plasma':
self.docs = LargeItemPlasmaDocument(self.ws.size,
self.ws.item_size)
elif self.ws.doc_gen == 'varying_item_plasma':
self.docs = VaryingItemSizePlasmaDocument(
self.ws.size, self.ws.size_variation_min,
self.ws.size_variation_max)
elif self.ws.doc_gen == 'eventing_small':
self.docs = EventingSmallDocument(self.ws.size)
elif self.ws.doc_gen == 'tpc_ds':
self.docs = TpcDsDocument()
elif self.ws.doc_gen == 'package':
self.docs = PackageDocument(self.ws.size)
elif self.ws.doc_gen == 'incompressible':
self.docs = IncompressibleString(self.ws.size)
elif self.ws.doc_gen == 'big_fun':
self.docs = BigFunDocument()
def init_docs(self):
if not hasattr(self.ws, 'doc_gen') or self.ws.doc_gen == 'basic':
self.docs = Document(self.ws.size)
elif self.ws.doc_gen == 'eventing_counter':
self.docs = EventingCounterDocument(self.ws.size)
elif self.ws.doc_gen == 'grouped':
self.docs = GroupedDocument(self.ws.size, self.ws.doc_groups)
elif self.ws.doc_gen == 'large_item_grouped':
self.docs = LargeItemGroupedDocument(self.ws.size,
self.ws.doc_groups,
self.ws.item_size)
elif self.ws.doc_gen == 'large_item_grouped_keysize':
self.docs = LargeItemGroupedDocumentKeySize(
self.ws.size, self.ws.doc_groups, self.ws.item_size)
elif self.ws.doc_gen == 'small_plasma_grouped':
self.docs = SmallPlasmaGroupedDocument(self.ws.size,
self.ws.doc_groups)
elif self.ws.doc_gen == 'string':
self.docs = String(self.ws.size)
elif self.ws.doc_gen == 'nested':
self.docs = NestedDocument(self.ws.size)
elif self.ws.doc_gen == 'reverse_lookup':
self.docs = ReverseLookupDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'reverse_range_lookup':
self.docs = ReverseRangeLookupDocument(self.ws.size,
self.ts.prefix,
self.ws.range_distance)
elif self.ws.doc_gen == 'ext_reverse_lookup':
self.docs = ExtReverseLookupDocument(self.ws.size, self.ts.prefix,
self.ws.items)
elif self.ws.doc_gen == 'hash_join':
self.docs = HashJoinDocument(self.ws.size, self.ts.prefix,
self.ws.range_distance)
elif self.ws.doc_gen == 'join':
self.docs = JoinedDocument(self.ws.size, self.ts.prefix,
self.ws.items, self.ws.num_categories,
self.ws.num_replies)
elif self.ws.doc_gen == 'ref':
self.docs = RefDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'array_indexing':
self.docs = ArrayIndexingDocument(self.ws.size, self.ts.prefix,
self.ws.array_size,
self.ws.items)
elif self.ws.doc_gen == 'array_indexing_unique':
self.docs = ArrayIndexingUniqueDocument(self.ws.size,
self.ts.prefix,
self.ws.array_size,
self.ws.items)
elif self.ws.doc_gen == 'array_indexing_range_scan':
self.docs = ArrayIndexingRangeScanDocument(self.ws.size,
self.ts.prefix,
self.ws.array_size,
self.ws.items)
elif self.ws.doc_gen == 'profile':
self.docs = ProfileDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'import_export_simple':
self.docs = ImportExportDocument(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'import_export_array':
self.docs = ImportExportDocumentArray(self.ws.size, self.ts.prefix)
elif self.ws.doc_gen == 'import_export_nested':
self.docs = ImportExportDocumentNested(self.ws.size,
self.ts.prefix)
elif self.ws.doc_gen == 'large':
self.docs = LargeDocument(self.ws.size)
elif self.ws.doc_gen == 'gsi_multiindex':
self.docs = GSIMultiIndexDocument(self.ws.size)
elif self.ws.doc_gen == 'small_plasma':
self.docs = SmallPlasmaDocument(self.ws.size)
elif self.ws.doc_gen == 'sequential_plasma':
self.docs = SequentialPlasmaDocument(self.ws.size)
elif self.ws.doc_gen == 'large_item_plasma':
self.docs = LargeItemPlasmaDocument(self.ws.size,
self.ws.item_size)
elif self.ws.doc_gen == 'varying_item_plasma':
self.docs = VaryingItemSizePlasmaDocument(
self.ws.size, self.ws.size_variation_min,
self.ws.size_variation_max)
elif self.ws.doc_gen == 'eventing_small':
self.docs = EventingSmallDocument(self.ws.size)
elif self.ws.doc_gen == 'tpc_ds':
self.docs = TpcDsDocument()
elif self.ws.doc_gen == 'package':
self.docs = PackageDocument(self.ws.size)
elif self.ws.doc_gen == 'incompressible':
self.docs = IncompressibleString(self.ws.size)
elif self.ws.doc_gen == 'big_fun':
self.docs = BigFunDocument()
elif self.ws.doc_gen == 'multibucket':
self.docs = MultiBucketDocument(self.ws.size)
elif self.ws.doc_gen == 'advancedfilter':
self.docs = AdvFilterDocument(self.ws.size)
elif self.ws.doc_gen == 'advancedfilterxattr':
self.docs = AdvFilterXattrBody(self.ws.size)
elif self.ws.doc_gen == 'hundred_index_doc':
self.docs = HundredIndexDocument(self.ws.size,
self.ws.size_variation_min,
self.ws.size_variation_max)
elif self.ws.doc_gen == 'large_grouped_doc':
self.docs = LargeGroupedDocument(self.ws.size, self.ws.doc_groups)