def prepare(self):
# Denormalization
# STEP 1: Reconstruct database and workload based on the given design
LOG.info("Denormalizing database")
d = DBDenormalizer(self.metadata_db, self.new_meta, self.ori_db, self.new_db, self.design)
d.process()
# STEP 2: Put indexs on the dataset_db based on the given design
self.setIndexes(self.new_db, self.design)
self.setupShardKeys()
from design_deserializer import Deserializer
from design import Design
def test_combine_deletes(combiner, operations):
return combiner.combineDeletes(operations)
if __name__=="__main__":
design_path = r"/home/ruiz1/mongodb-d4/exps/tpcc_design"
print design_path
deserializer = Deserializer()
deserializer.loadDesignFile(design_path)
design = Design()
design.data = deserializer.json_doc
print design.data
dm = DBDenormalizer(None, None, None, None, design)
graph = dm.constructGraph()
dm.metadata_db = pymongo.Connection('localhost:27017')['tpcc_meta']
parent_keys = dm.readSchema('schema')
combiner = DBCombiner(None, design, graph, parent_keys)
operations = []
for i in range(5):
op = dict()
op['query_content'] = []
op['query_fields'] = None
op['collection'] = 'order_line'
op['query_content'].append({'ol_o_id':i,'ol_id':i+1})
op['predicates'] = {'ol_o_id':'eq','ol_id':'eq'}
operations.append(op)
