This topic provides answers to some frequently asked questions about DataStudio.
FAQ about node development
FAQ about operations based on compute engine instances in DataWorks
Table-related operations
Resource-related operations
Node-related operations
API calls
Operations related to node running and run logs
How do I query historical operational logs on the DataStudio page?
How long are operational logs on the DataStudio page retained?
FAQ about operations on compute engines
EMR compute engine
Hive: FAQ about Hive
Spark: FAQ about Spark
MaxCompute compute engine
Development:
SQL: FAQ about SQL
Built-in functions: FAQ about built-in functions
User-defined functions (UDFs): FAQ about MaxCompute Java UDFs and FAQ about MaxCompute Python UDFs
MapReduce: FAQ about MaxCompute MapReduce
PyODPS: Can PyODPS call custom functions to use third-party packages?, When I call a pickle file in a PyODPS 3 node, the following error message appears: _pickle.UnpicklingError: invalid load key, '\xef. What do I do?, and FAQ about PyODPS
Security management:
O&M management:
Data download: How do I download more than 10,000 data records? and How do I disable the MaxCompute Query Acceleration (MCQA) feature if I want to obtain the instance ID that is used to download more than 10,000 data records?
BI connections: What do I do if an error is reported when I connect Power BI to MaxCompute?
FAQ about scheduling settings
FAQ about scheduling parameters
Typical use scenarios of scheduling parameters
Testing of scheduling parameters
O&M of scheduling parameters and check of the configurations of the scheduling parameters
FAQ about scheduling dependencies
Information that you must understand before you configure scheduling dependencies
Use scenarios of scheduling parameters
Node deletion or changes
Configuration of cross-cycle scheduling dependencies in different scenarios
Other frequently asked questions