ddlparse 1.0.2

DDL parase and Convert to BigQuery JSON schema

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

---

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 timestamp,
  UNIQUE (NAME)
);
"""

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

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

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/