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Comments (3)

shinichi-takii avatar shinichi-takii commented on May 10, 2024

@SarathVakacharla
Thank you for the report.
I just noticed the issue ticket.
I would like to consider a solution.

from ddlparse.

clowtown avatar clowtown commented on May 10, 2024

@shinichi-takii - would you accept a PR with this capability? I'd like to simply iterate with pyparse @

ret = self._DDL_PARSE_EXPR.parseString(self._ddl)

from ddlparse.

Valdanitooooo avatar Valdanitooooo commented on May 10, 2024

Using it with sqlparse package can achieve what I want.

import re
import sqlparse
from ddlparse import DdlParse

def main():
    with open("/path/to/ddl.sql", "r") as ddl_file:
        sql = ddl_file.read()
        ddls = sqlparse.split(sql)
        tmp_tables_regex = re.compile("^CREATE TABLE.*.*\(")
        for ddl in ddls:
            if(tmp_tables_regex.match(ddl)):
                parser = DdlParse(ddl=ddl, source_database=DdlParse.DATABASE.postgresql)
                table = parser.parse()
                print("table_name: %s"%table.name)
                for column in table.columns.values():
                    print("     column_name: %s, data_type: %s"%(column.name,column.bigquery_standard_data_type))

if __name__ == "__main__":
    main()

from ddlparse.

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