I am struggling with mapping Oracle data types to the corresponding GridDB data types. For instance, how should I handle Oracle’s and types when inserting them into GridDB? Are there specific best practices for ensuring data integrity during this conversion? VARCHAR2 NUMBER
import oracledb
import griddb_python as griddb
# Connect to Oracle Database
oracle_conn = oracledb.connect("admin/ali_786@localhost:1521/ORCL")
oracle_cursor = oracle_conn.cursor()
# Fetch data from Oracle table
oracle_cursor.execute("SELECT * FROM Customers")
# Connect to GridDB
factory = griddb.StoreFactory.get_instance()
griddb_store = factory.get_store(host="192.168.0.13", port=10001, cluster_name="zaigham", username="admin", password="ali_786")
container = griddb_store.get_container("conn")
# Ensure the container is ready to accept data
container.set_auto_commit(False)
# Insert data into GridDB
for row in oracle_cursor:
# Mapping Oracle row to GridDB types here, assuming the structure is compatible
container.put(row)
# Commit the transaction to GridDB
container.commit()
# Close connections
oracle_cursor.close()
oracle_conn.close()
migration from Oracle to GridDB is accurate data type mapping. Here are some mappings that have worked well for me:
Oracle NUMBER ➡️ GridDB DOUBLE or INTEGER: Depending on whether you are dealing with whole numbers or decimals, mapping NUMBER fields to DOUBLE or INTEGER can maintain data integrity.
Oracle VARCHAR2 ➡️ GridDB STRING: Both types handle text, but keep an eye on any maximum length differences between your Oracle schema and GridDB to avoid truncation issues.
Oracle DATE or TIMESTAMP ➡️ GridDB TIMESTAMP: Oracle’s DATE and TIMESTAMP fields should map to TIMESTAMP in GridDB, which is suitable for datetime values.