How to use the ddlparse.DdlParse.DATABASE function in ddlparse

print(table.to_bigquery_fields())


# parse pattern (2-2) : Specify source database
parser = DdlParse(ddl=sample_ddl, source_database=DdlParse.DATABASE.oracle)
table = parser.parse()


# parse pattern (3-1)
parser = DdlParse()
parser.ddl = sample_ddl
table = parser.parse()

# parse pattern (3-2) : Specify source database
parser = DdlParse()
parser.source_database = DdlParse.DATABASE.oracle
parser.ddl = sample_ddl
table = parser.parse()

print("* BigQuery Fields * : Oracle")
print(table.to_bigquery_fields())


print("* TABLE *")
print("schema = {} : name = {} : is_temp = {}".format(table.schema, table.name, table.is_temp))

print("* BigQuery Fields *")
print(table.to_bigquery_fields())

print("* BigQuery Fields - column name to lower case / upper case *")
print(table.to_bigquery_fields(DdlParse.NAME_CASE.lower))
print(table.to_bigquery_fields(DdlParse.NAME_CASE.upper))

Name varchar(100) NOT NULL COMMENT 'User name',
  Total bigint NOT NULL,
  Avg decimal(5,1) NOT NULL,
  Point int(10) unsigned,
  Zerofill_Id integer unsigned zerofill NOT NULL,
  Created_At date, -- Oracle 'DATE' -> BigQuery 'DATETIME'
  UNIQUE (NAME)
);
"""


# parse pattern (1-1)
table = DdlParse().parse(sample_ddl)

# parse pattern (1-2) : Specify source database
table = DdlParse().parse(ddl=sample_ddl, source_database=DdlParse.DATABASE.oracle)


# parse pattern (2-1)
parser = DdlParse(sample_ddl)
table = parser.parse()

print("* BigQuery Fields * : normal")
print(table.to_bigquery_fields())


# parse pattern (2-2) : Specify source database
parser = DdlParse(ddl=sample_ddl, source_database=DdlParse.DATABASE.oracle)
table = parser.parse()


# parse pattern (3-1)