ddlparse 1.1.3

DDL parase and Convert to BigQuery JSON schema

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DDL parase and Convert to BigQuery JSON schema module, available in Python.

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Features

• DDL parse and get table schema information.
• Currently, only the CREATE TABLE statement is supported.
• Supported databases are MySQL, PostgreSQL, Oracle, Redshift.
• Convert to BigQuery JSON schema.

Requirement

1. Python >= 3.4
2. pyparsing

Installation

Install

pip install:

$ pip install ddlparse

command install:

$ python setup.py install

Update

pip update:

$ pip install ddlparse --upgrade

Usage

Example

from ddlparse import DdlParse

sample_ddl = """
CREATE TABLE My_Schema.Sample_Table (
  ID integer PRIMARY KEY,
  NAME varchar(100) NOT NULL,
  TOTAL bigint NOT NULL,
  AVG decimal(5,1) 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)
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))

print("* COLUMN *")
for col in table.columns.values():
    print("name = {} : data_type = {} : length = {} : precision(=length) = {} : scale = {} : constraint = {} : not_null =  {} : PK =  {} : unique =  {} : BQ {}".format(
        col.name,
        col.data_type,
        col.length,
        col.precision,
        col.scale,
        col.constraint,
        col.not_null,
        col.primary_key,
        col.unique,
        col.to_bigquery_field()
        ))

print("* Get Column object (case insensitive) *")
print(table.columns["total"])

License

BSD 3-Clause License

Author

Shinichi Takii [e-mail]

Links

• Repository : https://github.com/shinichi-takii/ddlparse
• PyPI Package : https://pypi.python.org/pypi/ddlparse

Special Thanks

• pyparsing : http://pyparsing.wikispaces.com/