latest--aws-quicksight-dataset
shared| Type | object |
|---|---|
| Schema URL | https://catalog.lintel.tools/schemas/schemastore/serverless-framework-configuration/_shared/latest--aws-quicksight-dataset.json |
| Parent schema | serverless-framework-configuration |
Definition of the AWS::QuickSight::DataSet Resource Type.. Source:- No source definition found, add manually please
Properties
Groupings of columns that work together in certain QuickSight features. Currently, only geospatial hierarchy is supported.
The display name for the dataset.
A list of resource permissions on the dataset.
The row-level security configuration for the dataset.
5 nested properties
The Amazon Resource Name (ARN) of the permission dataset.
The namespace associated with the row-level permissions dataset.
The configuration of tags on a dataset to set row-level security.
3 nested properties
A set of rules associated with row-level security, such as the tag names and columns that they are assigned to.
A list of tag configuration rules to apply to a dataset. All tag configurations have the OR condition. Tags within each tile will be joined (AND). At least one rule in this structure must have all tag values assigned to it to apply Row-level security (RLS) to the dataset.
Contains a map of the key-value pairs for the resource tag or tags assigned to the dataset.
Wait policy to use when creating/updating dataset. Default is to wait for SPICE ingestion to finish with timeout of 36 hours.
2 nested properties
Wait for SPICE ingestion to finish to mark dataset creation/update successful. Default (true). Applicable only when DataSetImportMode mode is set to SPICE.
The maximum time (in hours) to wait for Ingestion to complete. Default timeout is 36 hours. Applicable only when DataSetImportMode mode is set to SPICE and WaitForSpiceIngestion is set to true.
The dataset usage configuration for the dataset.
2 nested properties
Definitions
A calculated column for a dataset.
A unique ID to identify a calculated column. During a dataset update, if the column ID of a calculated column matches that of an existing calculated column, Amazon QuickSight preserves the existing calculated column.
Column name.
An expression that defines the calculated column.
A transform operation that casts a column to a different type.
Column name.
When casting a column from string to datetime type, you can supply a string in a format supported by Amazon QuickSight to denote the source data format.
Metadata that contains a description for a column.
The text of a description for a column.
Groupings of columns that work together in certain Amazon QuickSight features. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.
Geospatial column group that denotes a hierarchy.
3 nested properties
Columns in this hierarchy.
A display name for the hierarchy.
A tag for a column in a TagColumnOperation structure. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.
Metadata that contains a description for a column.
1 nested properties
The text of a description for a column.
A transform operation that creates calculated columns. Columns created in one such operation form a lexical closure.
A physical table type built from the results of the custom SQL query.
The Amazon Resource Name (ARN) of the data source.
The SQL query.
The column schema from the SQL query result set.
A display name for the SQL query result.
A parameter created in the dataset that could be of any one data type such as string, integer, decimal or datetime.
A parameter created in the dataset of string data type.
4 nested properties
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
A parameter created in the dataset of decimal data type.
4 nested properties
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
A parameter created in the dataset of integer data type.
4 nested properties
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
A parameter created in the dataset of date time data type.
5 nested properties
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
A parameter created in the dataset of date time data type.
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
List of default values defined for a given string date time parameter type. Currently only static values are supported.
A parameter created in the dataset of decimal data type.
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
List of default values defined for a given decimal dataset parameter type. Currently only static values are supported.
A parameter created in the dataset of integer data type.
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
List of default values defined for a given integer dataset parameter type. Currently only static values are supported.
A parameter created in the dataset of string data type.
Identifier of the parameter created in the dataset.
Name of the parameter created in the dataset.
Every parameter value could be either a single value or multi value which helps to validate before evaluation.
List of default values defined for a given string dataset parameter type. Currently only static values are supported.
A transform operation that filters rows based on a condition.
An expression that must evaluate to a Boolean value. Rows for which the expression evaluates to true are kept in the dataset.
Geospatial column group that denotes a hierarchy.
Columns in this hierarchy.
A display name for the hierarchy.
Metadata for a column that is used as the input of a transform operation.
The name of this column in the underlying data source.
Refresh Configuration.
Incremental Refresh
1 nested properties
3 nested properties
Column Name
Size
Incremental Refresh
3 nested properties
Column Name
Size
Column Name
Size
A logical table is a unit that joins and that data transformations operate on. A logical table has a source, which can be either a physical table or result of a join. When a logical table points to a physical table, the logical table acts as a mutable copy of that physical table through transform operations.
A display name for the logical table.
Information about the source of a logical table. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.
3 nested properties
Physical table ID.
Join instruction.
The Amazon Resource Name (ARN) for the dataset.
Transform operations that act on this logical table.
Information about the source of a logical table. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.
Physical table ID.
Join instruction.
The Amazon Resource Name (ARN) for the dataset.
Output column.
A description for a column.
A display name for the dataset.
A transform operation that overrides the dataset parameter values defined in another dataset.
Name of the parameter created in the dataset.
Name of the parameter created in the dataset.
A view of a data source that contains information about the shape of the data in the underlying source. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.
A physical table type for relational data sources.
5 nested properties
The Amazon Resource Name (ARN) for the data source.
The name of the relational table.
The schema name. This name applies to certain relational database engines.
The catalog associated with a table.
A physical table type built from the results of the custom SQL query.
4 nested properties
The Amazon Resource Name (ARN) of the data source.
The SQL query.
The column schema from the SQL query result set.
A display name for the SQL query result.
A physical table type for as S3 data source.
3 nested properties
The amazon Resource Name (ARN) for the data source.
A physical table type for as S3 data source.
Information about the format for a source file or files.
5 nested properties
Whether the file has a header row, or the files each have a header row.
A row number to start reading data from.
The delimiter between values in the file.
A transform operation that projects columns. Operations that come after a projection can only refer to projected columns.
Projected columns.
A physical table type for relational data sources.
The Amazon Resource Name (ARN) for the data source.
The name of the relational table.
The schema name. This name applies to certain relational database engines.
The catalog associated with a table.
A transform operation that renames a column.
The new name for the column.
The name of the column to be renamed.
Permission for the resource.
The IAM action to grant or revoke permissions on.
The Amazon Resource Name (ARN) of the principal. This can be one of the following:
-
The ARN of an Amazon QuickSight user or group associated with a data source or dataset. (This is common.)
-
The ARN of an Amazon QuickSight user, group, or namespace associated with an analysis, dashboard, template, or theme. (This is common.)
-
The ARN of an AWS account root: This is an IAM ARN rather than a QuickSight ARN. Use this option only to share resources (templates) across AWS accounts. (This is less common.)
The row-level security configuration for the dataset.
The Amazon Resource Name (ARN) of the permission dataset.
The namespace associated with the row-level permissions dataset.
The configuration of tags on a dataset to set row-level security.
A set of rules associated with row-level security, such as the tag names and columns that they are assigned to.
A list of tag configuration rules to apply to a dataset. All tag configurations have the OR condition. Tags within each tile will be joined (AND). At least one rule in this structure must have all tag values assigned to it to apply Row-level security (RLS) to the dataset.
Permission for the resource.
The column name that a tag key is assigned to.
The unique key for a tag.
A string that you want to use to filter by all the values in a column in the dataset and don’t want to list the values one by one. For example, you can use an asterisk as your match all value.
A string that you want to use to delimit the values when you pass the values at run time. For example, you can delimit the values with a comma.
A physical table type for as S3 data source.
The amazon Resource Name (ARN) for the data source.
A physical table type for as S3 data source.
Information about the format for a source file or files.
5 nested properties
Whether the file has a header row, or the files each have a header row.
A row number to start reading data from.
The delimiter between values in the file.
The key or keys of the key-value pairs for the resource tag or tags assigned to the resource.
Tag value.
Tag key.
A transform operation that tags a column with additional information.
The column that this operation acts on.
The dataset column tag, currently only used for geospatial type tagging. .
This is not tags for the AWS tagging feature. .
A data transformation on a logical table. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.
A transform operation that tags a column with additional information.
2 nested properties
The column that this operation acts on.
The dataset column tag, currently only used for geospatial type tagging. .
This is not tags for the AWS tagging feature. .
A transform operation that filters rows based on a condition.
1 nested properties
An expression that must evaluate to a Boolean value. Rows for which the expression evaluates to true are kept in the dataset.
A transform operation that casts a column to a different type.
3 nested properties
Column name.
When casting a column from string to datetime type, you can supply a string in a format supported by Amazon QuickSight to denote the source data format.
A transform operation that creates calculated columns. Columns created in one such operation form a lexical closure.
1 nested properties
A transform operation that renames a column.
2 nested properties
The new name for the column.
The name of the column to be renamed.
A transform operation that projects columns. Operations that come after a projection can only refer to projected columns.
1 nested properties
Projected columns.
A transform operation that overrides the dataset parameter values defined in another dataset.
3 nested properties
Name of the parameter created in the dataset.
Name of the parameter created in the dataset.
Information about the format for a source file or files.
Whether the file has a header row, or the files each have a header row.
A row number to start reading data from.
The delimiter between values in the file.
Wait policy to use when creating/updating dataset. Default is to wait for SPICE ingestion to finish with timeout of 36 hours.
Wait for SPICE ingestion to finish to mark dataset creation/update successful. Default (true). Applicable only when DataSetImportMode mode is set to SPICE.
The maximum time (in hours) to wait for Ingestion to complete. Default timeout is 36 hours. Applicable only when DataSetImportMode mode is set to SPICE and WaitForSpiceIngestion is set to true.
The dataset usage configuration for the dataset.