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#------------------------------------------------------------------------------
# Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved.
#------------------------------------------------------------------------------
#------------------------------------------------------------------------------
# ArrayDMLRowCounts.py
# Demonstrate the use of the 12.1 feature that allows cursor.executemany()
# to return the number of rows affected by each individual execution as a list.
# The parameter "arraydmlrowcounts" must be set to True in the call to
# cursor.executemany() after which cursor.getarraydmlrowcounts() can be called.
# This script requires cx_Oracle 5.2 and higher.
#------------------------------------------------------------------------------
import cx_Oracle
import SampleEnv
connection = cx_Oracle.connect(SampleEnv.GetMainConnectString())
cursor = connection.cursor()
# show the number of rows for each parent ID as a means of verifying the
# output from the delete statement
for parentId, count in cursor.execute("""
        select ParentId, count(*)
        from ChildTable
        group by ParentId
        order by ParentId"""):
    print("Parent ID:", parentId, "has", int(count), "rows.")
# delete the following parent IDs only
parentIdsToDelete = [20, 30, 50]
print("Deleting Parent IDs:", parentIdsToDelete)
# enable array DML row counts for each iteration executed in executemany()
cursor.executemany("""
        delete from ChildTable
        where ParentId = :1""",
        [(i,) for i in parentIdsToDelete],
        arraydmlrowcounts = True)
# display the number of rows deleted for each parent ID
rowCounts = cursor.getarraydmlrowcounts()
for parentId, count in zip(parentIdsToDelete, rowCounts):
    print("Parent ID:", parentId, "deleted", count, "rows.")

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