ClassifyColumn¶

class oci.log_analytics.models.ClassifyColumn(**kwargs)¶

Bases: oci.log_analytics.models.abstract_column.AbstractColumn

Column containing query results produced by the query language classify command.

Attributes

`SUB_SYSTEM_LOG`	str(object=’’) -> str
`TYPE_CHART_COLUMN`	str(object=’’) -> str
`TYPE_CHART_DATA_COLUMN`	str(object=’’) -> str
`TYPE_CLASSIFY_COLUMN`	str(object=’’) -> str
`TYPE_COLUMN`	str(object=’’) -> str
`TYPE_TABLE_COLUMN`	str(object=’’) -> str
`TYPE_TIME_CLUSTER_COLUMN`	str(object=’’) -> str
`TYPE_TIME_CLUSTER_DATA_COLUMN`	str(object=’’) -> str
`TYPE_TIME_COLUMN`	str(object=’’) -> str
`TYPE_TIME_STATS_COLUMN`	str(object=’’) -> str
`TYPE_TIME_STATS_DATA_COLUMN`	str(object=’’) -> str
`TYPE_TREND_COLUMN`	str(object=’’) -> str
`VALUE_TYPE_BOOLEAN`	str(object=’’) -> str
`VALUE_TYPE_DOUBLE`	str(object=’’) -> str
`VALUE_TYPE_FACET`	str(object=’’) -> str
`VALUE_TYPE_FLOAT`	str(object=’’) -> str
`VALUE_TYPE_INTEGER`	str(object=’’) -> str
`VALUE_TYPE_LONG`	str(object=’’) -> str
`VALUE_TYPE_STRING`	str(object=’’) -> str
`VALUE_TYPE_TABLE`	str(object=’’) -> str
`VALUE_TYPE_TIMESTAMP`	str(object=’’) -> str
`classify_anomaly_interval_counts`	Gets the classify_anomaly_interval_counts of this ClassifyColumn.
`classify_columns`	Gets the classify_columns of this ClassifyColumn.
`classify_correlate_columns`	Gets the classify_correlate_columns of this ClassifyColumn.
`classify_correlate_result`	Gets the classify_correlate_result of this ClassifyColumn.
`classify_field_names`	Gets the classify_field_names of this ClassifyColumn.
`classify_field_null_count`	Gets the classify_field_null_count of this ClassifyColumn.
`classify_result`	Gets the classify_result of this ClassifyColumn.
`display_name`	Gets the display_name of this AbstractColumn.
`internal_name`	Gets the internal_name of this AbstractColumn.
`is_case_sensitive`	Gets the is_case_sensitive of this AbstractColumn.
`is_evaluable`	Gets the is_evaluable of this AbstractColumn.
`is_groupable`	Gets the is_groupable of this AbstractColumn.
`is_hidden`	Gets the is_hidden of this AbstractColumn.
`is_list_of_values`	Gets the is_list_of_values of this AbstractColumn.
`is_multi_valued`	Gets the is_multi_valued of this AbstractColumn.
`original_display_name`	Gets the original_display_name of this AbstractColumn.
`sub_system`	Gets the sub_system of this AbstractColumn.
`type`	[Required] Gets the type of this AbstractColumn.
`value_type`	Gets the value_type of this AbstractColumn.
`values`	Gets the values of this AbstractColumn.

Methods

`__init__`(**kwargs)	Initializes a new ClassifyColumn object with values from keyword arguments.
`get_subtype`(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

SUB_SYSTEM_LOG = 'LOG'¶

TYPE_CHART_COLUMN = 'CHART_COLUMN'¶

TYPE_CHART_DATA_COLUMN = 'CHART_DATA_COLUMN'¶

TYPE_CLASSIFY_COLUMN = 'CLASSIFY_COLUMN'¶

TYPE_COLUMN = 'COLUMN'¶

TYPE_TABLE_COLUMN = 'TABLE_COLUMN'¶

TYPE_TIME_CLUSTER_COLUMN = 'TIME_CLUSTER_COLUMN'¶

TYPE_TIME_CLUSTER_DATA_COLUMN = 'TIME_CLUSTER_DATA_COLUMN'¶

TYPE_TIME_COLUMN = 'TIME_COLUMN'¶

TYPE_TIME_STATS_COLUMN = 'TIME_STATS_COLUMN'¶

TYPE_TIME_STATS_DATA_COLUMN = 'TIME_STATS_DATA_COLUMN'¶

TYPE_TREND_COLUMN = 'TREND_COLUMN'¶

VALUE_TYPE_BOOLEAN = 'BOOLEAN'¶

VALUE_TYPE_DOUBLE = 'DOUBLE'¶

VALUE_TYPE_FACET = 'FACET'¶

VALUE_TYPE_FLOAT = 'FLOAT'¶

VALUE_TYPE_INTEGER = 'INTEGER'¶

VALUE_TYPE_LONG = 'LONG'¶

VALUE_TYPE_STRING = 'STRING'¶

VALUE_TYPE_TABLE = 'TABLE'¶

VALUE_TYPE_TIMESTAMP = 'TIMESTAMP'¶

__init__(**kwargs)¶

Initializes a new ClassifyColumn object with values from keyword arguments. The default value of the type attribute of this class is CLASSIFY_COLUMN and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:

type (str) – The value to assign to the type property of this ClassifyColumn. Allowed values for this property are: “COLUMN”, “CHART_COLUMN”, “CHART_DATA_COLUMN”, “TIME_STATS_COLUMN”, “TIME_STATS_DATA_COLUMN”, “TIME_CLUSTER_COLUMN”, “TIME_CLUSTER_DATA_COLUMN”, “TABLE_COLUMN”, “TIME_COLUMN”, “TREND_COLUMN”, “CLASSIFY_COLUMN”
display_name (str) – The value to assign to the display_name property of this ClassifyColumn.
sub_system (str) – The value to assign to the sub_system property of this ClassifyColumn. Allowed values for this property are: “LOG”
values (list[oci.log_analytics.models.FieldValue]) – The value to assign to the values property of this ClassifyColumn.
is_list_of_values (bool) – The value to assign to the is_list_of_values property of this ClassifyColumn.
is_multi_valued (bool) – The value to assign to the is_multi_valued property of this ClassifyColumn.
is_case_sensitive (bool) – The value to assign to the is_case_sensitive property of this ClassifyColumn.
is_groupable (bool) – The value to assign to the is_groupable property of this ClassifyColumn.
is_evaluable (bool) – The value to assign to the is_evaluable property of this ClassifyColumn.
is_hidden (bool) – The value to assign to the is_hidden property of this ClassifyColumn.
value_type (str) – The value to assign to the value_type property of this ClassifyColumn. Allowed values for this property are: “BOOLEAN”, “STRING”, “DOUBLE”, “FLOAT”, “LONG”, “INTEGER”, “TIMESTAMP”, “FACET”, “TABLE”
original_display_name (str) – The value to assign to the original_display_name property of this ClassifyColumn.
internal_name (str) – The value to assign to the internal_name property of this ClassifyColumn.
classify_field_names (list[str]) – The value to assign to the classify_field_names property of this ClassifyColumn.
classify_field_null_count (list[int]) – The value to assign to the classify_field_null_count property of this ClassifyColumn.
classify_anomaly_interval_counts (list[int]) – The value to assign to the classify_anomaly_interval_counts property of this ClassifyColumn.
classify_columns (list[oci.log_analytics.models.AbstractColumn]) – The value to assign to the classify_columns property of this ClassifyColumn.
classify_result (list[dict(str, object)]) – The value to assign to the classify_result property of this ClassifyColumn.
classify_correlate_columns (list[oci.log_analytics.models.AbstractColumn]) – The value to assign to the classify_correlate_columns property of this ClassifyColumn.
classify_correlate_result (list[dict(str, object)]) – The value to assign to the classify_correlate_result property of this ClassifyColumn.

classify_anomaly_interval_counts¶

Gets the classify_anomaly_interval_counts of this ClassifyColumn. Count of anomalies for each timeseries datapoint.

Returns:	The classify_anomaly_interval_counts of this ClassifyColumn.
Return type:	list[int]

classify_columns¶

Gets the classify_columns of this ClassifyColumn. Column descriptors for the classify result.

Returns:	The classify_columns of this ClassifyColumn.
Return type:	list[oci.log_analytics.models.AbstractColumn]

classify_correlate_columns¶

Gets the classify_correlate_columns of this ClassifyColumn. Column descriptors of fields with strong correlation with the classify fields.

Returns:	The classify_correlate_columns of this ClassifyColumn.
Return type:	list[oci.log_analytics.models.AbstractColumn]

classify_correlate_result¶

Gets the classify_correlate_result of this ClassifyColumn. Correlation results of the classify command.

Returns:	The classify_correlate_result of this ClassifyColumn.
Return type:	list[dict(str, object)]

classify_field_names¶

Gets the classify_field_names of this ClassifyColumn. A list of fields specified in the classify command in the query string.

Returns:	The classify_field_names of this ClassifyColumn.
Return type:	list[str]

classify_field_null_count¶

Gets the classify_field_null_count of this ClassifyColumn. Count of nulls found in each of the fields specified in the classify command in the query string.

Returns:	The classify_field_null_count of this ClassifyColumn.
Return type:	list[int]

classify_result¶

Gets the classify_result of this ClassifyColumn. Results of the classify command.

Returns:	The classify_result of this ClassifyColumn.
Return type:	list[dict(str, object)]

display_name¶

Gets the display_name of this AbstractColumn. Column display name - will be alias if column is renamed by queryStrng.

Returns:	The display_name of this AbstractColumn.
Return type:	str

static get_subtype(object_dictionary)¶: Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

internal_name¶

Gets the internal_name of this AbstractColumn. Internal identifier for the column.

Returns:	The internal_name of this AbstractColumn.
Return type:	str

is_case_sensitive¶

Gets the is_case_sensitive of this AbstractColumn. A flag indicating whether or not the field is a case sensitive field. Only applies to string fields.

Returns:	The is_case_sensitive of this AbstractColumn.
Return type:	bool

is_evaluable¶

Gets the is_evaluable of this AbstractColumn. Identifies if this column can be used as an expression parameter in any command that accepts querylanguage expressions.

Returns:	The is_evaluable of this AbstractColumn.
Return type:	bool

is_groupable¶

Gets the is_groupable of this AbstractColumn. Identifies if this column can be used as a grouping field in any grouping command.

Returns:	The is_groupable of this AbstractColumn.
Return type:	bool

is_hidden¶

Gets the is_hidden of this AbstractColumn. Identifies if this column should be hidden by default but can be displayed in the UI on demand.

Returns:	The is_hidden of this AbstractColumn.
Return type:	bool

is_list_of_values¶

Gets the is_list_of_values of this AbstractColumn. Identifies if all values in this column come from a pre-defined list of values.

Returns:	The is_list_of_values of this AbstractColumn.
Return type:	bool

is_multi_valued¶

Gets the is_multi_valued of this AbstractColumn. Identifies if this column allows multiple values to exist in a single row.

Returns:	The is_multi_valued of this AbstractColumn.
Return type:	bool

original_display_name¶

Gets the original_display_name of this AbstractColumn. Same as displayName unless column renamed in which case this will hold the original display name for the column.

Returns:	The original_display_name of this AbstractColumn.
Return type:	str

sub_system¶

Gets the sub_system of this AbstractColumn. Subsystem column belongs to.

Allowed values for this property are: “LOG”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The sub_system of this AbstractColumn.
Return type:	str

type¶

[Required] Gets the type of this AbstractColumn. Column classification when column requires special designation.

Allowed values for this property are: “COLUMN”, “CHART_COLUMN”, “CHART_DATA_COLUMN”, “TIME_STATS_COLUMN”, “TIME_STATS_DATA_COLUMN”, “TIME_CLUSTER_COLUMN”, “TIME_CLUSTER_DATA_COLUMN”, “TABLE_COLUMN”, “TIME_COLUMN”, “TREND_COLUMN”, “CLASSIFY_COLUMN”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The type of this AbstractColumn.
Return type:	str

value_type¶

Gets the value_type of this AbstractColumn. Field denoting column data type.

Allowed values for this property are: “BOOLEAN”, “STRING”, “DOUBLE”, “FLOAT”, “LONG”, “INTEGER”, “TIMESTAMP”, “FACET”, “TABLE”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The value_type of this AbstractColumn.
Return type:	str

values¶

Gets the values of this AbstractColumn. If the column is a ‘List of Values’ column, this array contains the field values that are applicable to query results or all if no filters applied.

Returns:	The values of this AbstractColumn.
Return type:	list[oci.log_analytics.models.FieldValue]