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|
%global _empty_manifest_terminate_build 0
Name: python-ddlparse
Version: 1.10.0
Release: 1
Summary: DDL parase and Convert to BigQuery JSON schema
License: BSD-3-Clause
URL: http://github.com/shinichi-takii/ddlparse
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1b/3c/a9ece2adfd4ee8f5030669804df58532d5b8934e955e1399e11379af535e/ddlparse-1.10.0.tar.gz
BuildArch: noarch
Requires: python3-pyparsing
%description
## Features
- DDL parse and get table schema information.
- Currently, only the `CREATE TABLE` statement is supported.
- Convert to [BigQuery JSON schema](https://cloud.google.com/bigquery/docs/schemas#creating_a_json_schema_file) and [BigQuery DDL statements](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language).
- Supported databases are MySQL/MariaDB, PostgreSQL, Oracle, Redshift.
## Requirement
1. Python >= 3.5
1. [pyparsing](https://github.com/pyparsing/pyparsing)
## Installation
### Install
pip install:
```bash
$ pip install ddlparse
```
command install:
```bash
$ python setup.py install
```
### Update
pip update:
```bash
$ pip install ddlparse --upgrade
```
## Usage
### Example
```python
import json
from ddlparse import DdlParse
sample_ddl = """
CREATE TABLE My_Schema.Sample_Table (
Id integer PRIMARY KEY COMMENT 'User ID',
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)
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():
col_info = {}
col_info["name"] = col.name
col_info["data_type"] = col.data_type
col_info["length"] = col.length
col_info["precision(=length)"] = col.precision
col_info["scale"] = col.scale
col_info["is_unsigned"] = col.is_unsigned
col_info["is_zerofill"] = col.is_zerofill
col_info["constraint"] = col.constraint
col_info["not_null"] = col.not_null
col_info["PK"] = col.primary_key
col_info["unique"] = col.unique
col_info["auto_increment"] = col.auto_increment
col_info["distkey"] = col.distkey
col_info["sortkey"] = col.sortkey
col_info["encode"] = col.encode
col_info["default"] = col.default
col_info["character_set"] = col.character_set
col_info["bq_legacy_data_type"] = col.bigquery_legacy_data_type
col_info["bq_standard_data_type"] = col.bigquery_standard_data_type
col_info["comment"] = col.comment
col_info["description(=comment)"] = col.description
col_info["bigquery_field"] = json.loads(col.to_bigquery_field())
print(json.dumps(col_info, indent=2, ensure_ascii=False))
print("* DDL (CREATE TABLE) statements *")
print(table.to_bigquery_ddl())
print("* DDL (CREATE TABLE) statements - dataset name, table name and column name to lower case / upper case *")
print(table.to_bigquery_ddl(DdlParse.NAME_CASE.lower))
print(table.to_bigquery_ddl(DdlParse.NAME_CASE.upper))
print("* Get Column object (case insensitive) *")
print(table.columns["total"])
print(table.columns["total"].data_type)
```
## License
[BSD 3-Clause License](https://github.com/shinichi-takii/ddlparse/blob/master/LICENSE.md)
## Author
Shinichi Takii <shinichi.takii@shaketh.com>
## Links
- Repository : https://github.com/shinichi-takii/ddlparse
- PyPI Package : https://pypi.org/project/ddlparse/
## Special Thanks
- pyparsing : https://github.com/pyparsing/pyparsing
%package -n python3-ddlparse
Summary: DDL parase and Convert to BigQuery JSON schema
Provides: python-ddlparse
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ddlparse
## Features
- DDL parse and get table schema information.
- Currently, only the `CREATE TABLE` statement is supported.
- Convert to [BigQuery JSON schema](https://cloud.google.com/bigquery/docs/schemas#creating_a_json_schema_file) and [BigQuery DDL statements](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language).
- Supported databases are MySQL/MariaDB, PostgreSQL, Oracle, Redshift.
## Requirement
1. Python >= 3.5
1. [pyparsing](https://github.com/pyparsing/pyparsing)
## Installation
### Install
pip install:
```bash
$ pip install ddlparse
```
command install:
```bash
$ python setup.py install
```
### Update
pip update:
```bash
$ pip install ddlparse --upgrade
```
## Usage
### Example
```python
import json
from ddlparse import DdlParse
sample_ddl = """
CREATE TABLE My_Schema.Sample_Table (
Id integer PRIMARY KEY COMMENT 'User ID',
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)
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():
col_info = {}
col_info["name"] = col.name
col_info["data_type"] = col.data_type
col_info["length"] = col.length
col_info["precision(=length)"] = col.precision
col_info["scale"] = col.scale
col_info["is_unsigned"] = col.is_unsigned
col_info["is_zerofill"] = col.is_zerofill
col_info["constraint"] = col.constraint
col_info["not_null"] = col.not_null
col_info["PK"] = col.primary_key
col_info["unique"] = col.unique
col_info["auto_increment"] = col.auto_increment
col_info["distkey"] = col.distkey
col_info["sortkey"] = col.sortkey
col_info["encode"] = col.encode
col_info["default"] = col.default
col_info["character_set"] = col.character_set
col_info["bq_legacy_data_type"] = col.bigquery_legacy_data_type
col_info["bq_standard_data_type"] = col.bigquery_standard_data_type
col_info["comment"] = col.comment
col_info["description(=comment)"] = col.description
col_info["bigquery_field"] = json.loads(col.to_bigquery_field())
print(json.dumps(col_info, indent=2, ensure_ascii=False))
print("* DDL (CREATE TABLE) statements *")
print(table.to_bigquery_ddl())
print("* DDL (CREATE TABLE) statements - dataset name, table name and column name to lower case / upper case *")
print(table.to_bigquery_ddl(DdlParse.NAME_CASE.lower))
print(table.to_bigquery_ddl(DdlParse.NAME_CASE.upper))
print("* Get Column object (case insensitive) *")
print(table.columns["total"])
print(table.columns["total"].data_type)
```
## License
[BSD 3-Clause License](https://github.com/shinichi-takii/ddlparse/blob/master/LICENSE.md)
## Author
Shinichi Takii <shinichi.takii@shaketh.com>
## Links
- Repository : https://github.com/shinichi-takii/ddlparse
- PyPI Package : https://pypi.org/project/ddlparse/
## Special Thanks
- pyparsing : https://github.com/pyparsing/pyparsing
%package help
Summary: Development documents and examples for ddlparse
Provides: python3-ddlparse-doc
%description help
## Features
- DDL parse and get table schema information.
- Currently, only the `CREATE TABLE` statement is supported.
- Convert to [BigQuery JSON schema](https://cloud.google.com/bigquery/docs/schemas#creating_a_json_schema_file) and [BigQuery DDL statements](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language).
- Supported databases are MySQL/MariaDB, PostgreSQL, Oracle, Redshift.
## Requirement
1. Python >= 3.5
1. [pyparsing](https://github.com/pyparsing/pyparsing)
## Installation
### Install
pip install:
```bash
$ pip install ddlparse
```
command install:
```bash
$ python setup.py install
```
### Update
pip update:
```bash
$ pip install ddlparse --upgrade
```
## Usage
### Example
```python
import json
from ddlparse import DdlParse
sample_ddl = """
CREATE TABLE My_Schema.Sample_Table (
Id integer PRIMARY KEY COMMENT 'User ID',
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)
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():
col_info = {}
col_info["name"] = col.name
col_info["data_type"] = col.data_type
col_info["length"] = col.length
col_info["precision(=length)"] = col.precision
col_info["scale"] = col.scale
col_info["is_unsigned"] = col.is_unsigned
col_info["is_zerofill"] = col.is_zerofill
col_info["constraint"] = col.constraint
col_info["not_null"] = col.not_null
col_info["PK"] = col.primary_key
col_info["unique"] = col.unique
col_info["auto_increment"] = col.auto_increment
col_info["distkey"] = col.distkey
col_info["sortkey"] = col.sortkey
col_info["encode"] = col.encode
col_info["default"] = col.default
col_info["character_set"] = col.character_set
col_info["bq_legacy_data_type"] = col.bigquery_legacy_data_type
col_info["bq_standard_data_type"] = col.bigquery_standard_data_type
col_info["comment"] = col.comment
col_info["description(=comment)"] = col.description
col_info["bigquery_field"] = json.loads(col.to_bigquery_field())
print(json.dumps(col_info, indent=2, ensure_ascii=False))
print("* DDL (CREATE TABLE) statements *")
print(table.to_bigquery_ddl())
print("* DDL (CREATE TABLE) statements - dataset name, table name and column name to lower case / upper case *")
print(table.to_bigquery_ddl(DdlParse.NAME_CASE.lower))
print(table.to_bigquery_ddl(DdlParse.NAME_CASE.upper))
print("* Get Column object (case insensitive) *")
print(table.columns["total"])
print(table.columns["total"].data_type)
```
## License
[BSD 3-Clause License](https://github.com/shinichi-takii/ddlparse/blob/master/LICENSE.md)
## Author
Shinichi Takii <shinichi.takii@shaketh.com>
## Links
- Repository : https://github.com/shinichi-takii/ddlparse
- PyPI Package : https://pypi.org/project/ddlparse/
## Special Thanks
- pyparsing : https://github.com/pyparsing/pyparsing
%prep
%autosetup -n ddlparse-1.10.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-ddlparse -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.10.0-1
- Package Spec generated
|
