MaxCompute:Examples of using the SDK for Python: configurations

PyODPS provides a series of configuration options, which can be obtained by using odps.options The following table describes configurable MaxCompute options.

• General configurations

  Option	Description	Default value
  end_point	The MaxCompute endpoint.	None
  default_project	The default project.	None
  log_view_host	The hostname in the Logview URL.	None
  log_view_hours	The holding time of Logview. Unit: hours.	24
  local_timezone	The time zone that is used. True indicates the local time, and False indicates UTC. The time zone pytz can also be used.	1
  lifecycle	The lifecycle of all tables.	None
  temp_lifecycle	The lifecycle of temporary tables.	1
  biz_id	The ID of a user.	None
  verbose	Specifies whether to display logs.	False
  verbose_log	The log receiver.	None
  chunk_size	The size of the write buffer.	1496
  retry_times	The number of request retries.	4
  pool_connections	The number of cached connections in the connection pool.	10
  pool_maxsize	The maximum capacity of the connection pool.	10
  connect_timeout	The connection timeout.	5
  read_timeout	The time to wait before the read operation times out.	120
  completion_size	The limit on the number of object completion listing items.	10
  notebook_repr_widget	Specifies whether to use interactive graphs.	True
  sql.settings	MaxCompute SQL runs global hints.	None
  sql.use_odps2_extension	Specifies whether to enable MaxCompute 2.0 language extension.	False

• Data upload or download configurations

  Option	Description	Default value
  tunnel.endpoint	The Tunnel endpoint.	None
  tunnel.use_instance_tunnel	Specifies whether to use Instance Tunnel to obtain the upload or download results.	True
  tunnel.limited_instance_tunnel	Specifies whether to limit the number of data records obtained by using Instance Tunnel.	True
  tunnel.string_as_binary	Specifies whether to use bytes instead of unicode for data of the STRING type.	False

• DataFrame configurations

  Option	Description	Default value
  interactive	Specifies whether DataFrame is used in an interactive environment.	Based on the measured value
  df.analyze	Specifies whether to enable non-MaxCompute built-in functions.	True
  df.optimize	Specifies whether to enable full DataFrame optimization.	True
  df.optimizes.pp	Specifies whether to enable DataFrame predicate push optimization.	True
  df.optimizes.cp	Specifies whether to enable DataFrame column pruning optimization.	True
  df.optimizes.tunnel	Specifies whether to enable DataFrame tunnel optimization.	True
  df.quote	Specifies whether to use a pair of grave accents (``) to mark fields and table names in the backend of MaxCompute SQL.	True
  df.libraries	The resource name of the third-party library that is used for the DataFrame operation.	None

• PyODPS ML configurations

  Option	Description	Default value
  ml.xflow_project	The default name of the XFlow project.	algo_public
  ml.use_model_transfer	Specifies whether to use ModelTransfer to obtain the PMML model.	True
  ml.model_volume	The volume name used when ModelTransfer is used.	pyodps_volume