import griddb_python as griddb

import sys

containerName = "SamplePython_TQLAggregation"

rowCount = 5

nameList = ["notebook PC", "desktop PC", "keyboard", "mouse", "printer"]

numberList = [108, 72, 25, 45, 62 ]

queryStr = "SELECT MAX(count)"

factory = griddb.StoreFactory.get_instance()

argv = sys.argv

try:

# Get GridStore object

gridstore = factory.get_store(host=argv[1], port=int(argv[2]), cluster_name=argv[3], username=argv[4], password=argv[5])

# When operations such as container creation and acquisition are performed, it is connected to the cluster.

gridstore.get_container("containerName")

print("Connect to Cluster")

# Create Collection

conInfo = griddb.ContainerInfo(name=containerName,

column_info_list=

[["id", griddb.Type.INTEGER],

["productName", griddb.Type.STRING],

["count", griddb.Type.INTEGER]],

type=griddb.ContainerType.COLLECTION,

row_key=True)

col = gridstore.put_container(conInfo)

print("Create Collection name=", containerName)

# Register multiple rows

rowList = []

for i in range(0, rowCount):

rowList.append([i, nameList[i], numberList[i]])

print("Sample data generation: row = (", i, ",", nameList[i], ",", numberList[i], ")")

col.multi_put(rowList)

# Search by TQL

# (1)Get the container

col1 = gridstore.get_container(containerName)

if col1 == None:

print( "ERROR Container not found. name=", containerName)

# (2)Executing aggregation operation with TQL

print("TQL query : ", queryStr)

query = col1.query(queryStr)

rs = query.fetch()

# (3)Get the result

while rs.has_next():

aggregationResult = rs.next()

max = aggregationResult.get(griddb.Type.LONG)

print("TQL result: max=", max)

print("success!")

except griddb.GSException as e:

for i in range(e.get_error_stack_size()):

print("[", i, "]")

print(e.get_error_code(i))

print(e.get_location(i))

print(e.get_message(i))