Releases: aliyun/aliyun-odps-python-sdk
Releases · aliyun/aliyun-odps-python-sdk
v0.7.20
- Support referencing resources in other projects when creating functions
- Support reading Instance result in binary form
- Bug fixes
v0.7.19
- Add support for new window functions (cumstd, qcut, nth_value, cume_dist)
- Upgrade cloudpickle to the latest version to support recursions and more
- Support
quantile(x)
in pivot_table
- Support visiting negative indices in List types in DataFrame
- Bug fixes
v0.7.18
- Add fast tunnel for simple types (bigint, double, boolean) for pandas
- Add unique aggregation support
- Add keep_nulls to support outer lateral view
- Make aggregations on pandas backend consistent with ODPS SQL backend
- Fix internal table ddl
- Add api_proxy options
- Add iter_xflow_sub_instances method to simplify fetching xflow sub instances
- Add support for Python 3.7 wheels
- Bug & doc fixes
v0.6.10
Fix job submission problem for v0.6.x
v0.5.9
Fix job submission problem for v0.5.x
v0.7.17
- Make PyODPS compatible with Python 3.7, changes including support for the new method invocation instruction as well as changing
async
args into async_
to avoid conflicts with the new keyword
- Support creating DDLs for external tables
- Support creating table resources referencing other projects
- Support using
project
arg on odps.df.func
- Add English docs
- Bug fixes
v0.7.16
- Add support for percentile in DataFrame
- Allow using collections in %sql parameters (#58)
- Bug fixes
v0.7.15
- Update cloudpickle. Now supports Python 3.6 and fixes WorkerCrashfile under several scenarios
- Add execution hints for XFlow
- Allow using as_type when constructing DataFrame with composite types with pandas
- Bug fixes
v0.7.14
- Add support for lateral views (see this link for more details)
- Add primitive support for arrays and maps in MaxCompute
- Bug fixes
v0.7.13
- Add method filter_parts to DataFrame, to provide a more straightforward partition representation compatible with MaxCompute representation
- Bug fixes