describe-data-set¶

Description¶

Describes a dataset. This operation doesn’t support datasets that include uploaded files as a source.

Synopsis¶

  describe-data-set
--aws-account-id <value>
--data-set-id <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options¶

--aws-account-id (string) [required]

The Amazon Web Services account ID.

Constraints:

min: 12

max: 12

pattern: ^[0-9]{12}$

--data-set-id (string) [required]

The ID for the dataset that you want to describe. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options¶

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

json
text
table
yaml
yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

on
off
auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

base64
raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Output¶

DataSet -> (structure)

Information on the dataset.

Arn -> (string)

The Amazon Resource Name (ARN) of the resource.

DataSetId -> (string)

The ID of the dataset. Limited to 96 characters.

Name -> (string)

A display name for the dataset.

Constraints:

min: 1

max: 128

CreatedTime -> (timestamp)

The time that this dataset was created.

LastUpdatedTime -> (timestamp)

The last time that this dataset was updated.

PhysicalTableMap -> (map)

Declares the physical tables that are available in the underlying data sources.

Constraints:

min: 0

max: 32

key -> (string)

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

value -> (structure)

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.

RelationalTable -> (structure)

A physical table type for relational data sources.

DataSourceArn -> (string) [required]

The Amazon Resource Name (ARN) for the data source.

Catalog -> (string)

The catalog associated with a table.

Constraints:

max: 256

Schema -> (string)

The schema name. This name applies to certain relational database engines.

Constraints:

max: 256

Name -> (string) [required]

The name of the relational table.

Constraints:

min: 1

max: 256

InputColumns -> (list) [required]

The column schema of the table.

Constraints:

min: 0

max: 2048

(structure)

Metadata for a column that is used as the input of a transform operation.

Name -> (string) [required]

The name of this column in the underlying data source.

Constraints:

min: 1

max: 128

Id -> (string)

A unique identifier for the input column.

Constraints:

min: 1

max: 64

Type -> (string) [required]

The data type of the column.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

BIT

BOOLEAN

JSON

SubType -> (string)

The sub data type of the column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

CustomSql -> (structure)

A physical table type built from the results of the custom SQL query.

DataSourceArn -> (string) [required]

The Amazon Resource Name (ARN) of the data source.

Name -> (string) [required]

A display name for the SQL query result.

Constraints:

min: 1

max: 128

SqlQuery -> (string) [required]

The SQL query.

Constraints:

min: 1

max: 168000

Columns -> (list)

The column schema from the SQL query result set.

Constraints:

min: 0

max: 2048

(structure)

Metadata for a column that is used as the input of a transform operation.

Name -> (string) [required]

The name of this column in the underlying data source.

Constraints:

min: 1

max: 128

Id -> (string)

A unique identifier for the input column.

Constraints:

min: 1

max: 64

Type -> (string) [required]

The data type of the column.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

BIT

BOOLEAN

JSON

SubType -> (string)

The sub data type of the column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

S3Source -> (structure)

A physical table type for as S3 data source.

DataSourceArn -> (string) [required]

The Amazon Resource Name (ARN) for the data source.

UploadSettings -> (structure)

Information about the format for the S3 source file or files.

Format -> (string)

File format.

Possible values:

CSV

TSV

CLF

ELF

XLSX

JSON

StartFromRow -> (integer)

A row number to start reading data from.

Constraints:

min: 1

ContainsHeader -> (boolean)

Whether the file has a header row, or the files each have a header row.

TextQualifier -> (string)

Text qualifier.

Possible values:

DOUBLE_QUOTE

SINGLE_QUOTE

Delimiter -> (string)

The delimiter between values in the file.

Constraints:

min: 1

max: 1

CustomCellAddressRange -> (string)

A custom cell address range for Excel files, specifying which cells to import from the spreadsheet.

InputColumns -> (list) [required]

A physical table type for an S3 data source.

Note
For files that aren’t JSON, only STRING data types are supported in input columns.

Constraints:

min: 0

max: 2048

(structure)

Metadata for a column that is used as the input of a transform operation.

Name -> (string) [required]

The name of this column in the underlying data source.

Constraints:

min: 1

max: 128

Id -> (string)

A unique identifier for the input column.

Constraints:

min: 1

max: 64

Type -> (string) [required]

The data type of the column.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

BIT

BOOLEAN

JSON

SubType -> (string)

The sub data type of the column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

SaaSTable -> (structure)

A physical table type for Software-as-a-Service (SaaS) sources.

DataSourceArn -> (string) [required]

The Amazon Resource Name (ARN) of the SaaS data source.

TablePath -> (list) [required]

The hierarchical path to the table within the SaaS data source.

Constraints:

min: 1

max: 32

(structure)

An element in the hierarchical path to a table within a data source, containing both name and identifier.

Name -> (string)

The name of the path element.

Constraints:

min: 1

max: 256

Id -> (string)

The unique identifier of the path element.

Constraints:

min: 1

max: 256

InputColumns -> (list) [required]

The list of input columns available from the SaaS table.

Constraints:

min: 0

max: 2048

(structure)

Metadata for a column that is used as the input of a transform operation.

Name -> (string) [required]

The name of this column in the underlying data source.

Constraints:

min: 1

max: 128

Id -> (string)

A unique identifier for the input column.

Constraints:

min: 1

max: 64

Type -> (string) [required]

The data type of the column.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

BIT

BOOLEAN

JSON

SubType -> (string)

The sub data type of the column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

LogicalTableMap -> (map)

Configures the combination and transformation of the data from the physical tables.

Constraints:

min: 1

max: 64

key -> (string)

An identifier for the logical table that is defined in the dataset

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

value -> (structure)

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.

Alias -> (string) [required]

A display name for the logical table.

Constraints:

min: 1

max: 64

DataTransforms -> (list)

Transform operations that act on this logical table. For this structure to be valid, only one of the attributes can be non-null.

Constraints:

min: 1

max: 2048

(structure)

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.

ProjectOperation -> (structure)

An operation that projects columns. Operations that come after a projection can only refer to projected columns.

Alias -> (string)

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure)

The source transform operation that provides input data for column projection.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

ProjectedColumns -> (list) [required]

Projected columns.

Constraints:

min: 0

max: 2048

(string)

FilterOperation -> (structure)

An operation that filters rows based on some condition.

ConditionExpression -> (string)

An expression that must evaluate to a Boolean value. Rows for which the expression evaluates to true are kept in the dataset.

Constraints:

min: 1

max: 4096

StringFilterCondition -> (structure)

A string-based filter condition within a filter operation.

ColumnName -> (string)

The name of the string column to filter.

Constraints:

min: 1

max: 128

ComparisonFilterCondition -> (structure)

A comparison-based filter condition for the string column.

Operator -> (string) [required]

The comparison operator to use, such as EQUALS , CONTAINS , STARTS_WITH , ENDS_WITH , or their negations.

Possible values:

EQUALS

DOES_NOT_EQUAL

CONTAINS

DOES_NOT_CONTAIN

STARTS_WITH

ENDS_WITH

Value -> (structure)

The string value to compare against.

StaticValue -> (string)

A static string value used for filtering.

Constraints:

max: 512

ListFilterCondition -> (structure)

A list-based filter condition that includes or excludes values from a specified list.

Operator -> (string) [required]

The list operator to use, either INCLUDE to match values in the list or EXCLUDE to filter out values in the list.

Possible values:

INCLUDE

EXCLUDE

Values -> (structure)

The list of string values to include or exclude in the filter.

StaticValues -> (list)

A list of static string values used for filtering.

Constraints:

max: 1000

(string)

Constraints:

max: 512

NumericFilterCondition -> (structure)

A numeric-based filter condition within a filter operation.

ColumnName -> (string)

The name of the numeric column to filter.

Constraints:

min: 1

max: 128

ComparisonFilterCondition -> (structure)

A comparison-based filter condition for the numeric column.

Operator -> (string) [required]

The comparison operator to use, such as EQUALS , GREATER_THAN , LESS_THAN , or their variants.

Possible values:

EQUALS

DOES_NOT_EQUAL

GREATER_THAN

GREATER_THAN_OR_EQUALS_TO

LESS_THAN

LESS_THAN_OR_EQUALS_TO

Value -> (structure)

The numeric value to compare against.

StaticValue -> (double)

A static numeric value used for filtering.

RangeFilterCondition -> (structure)

A range-based filter condition for the numeric column, filtering values between minimum and maximum numbers.

RangeMinimum -> (structure)

The minimum numeric value for the range filter.

StaticValue -> (double)

A static numeric value used for filtering.

RangeMaximum -> (structure)

The maximum numeric value for the range filter.

StaticValue -> (double)

A static numeric value used for filtering.

IncludeMinimum -> (boolean)

Whether to include the minimum value in the filter range.

IncludeMaximum -> (boolean)

Whether to include the maximum value in the filter range.

DateFilterCondition -> (structure)

A date-based filter condition within a filter operation.

ColumnName -> (string)

The name of the date column to filter.

Constraints:

min: 1

max: 128

ComparisonFilterCondition -> (structure)

A comparison-based filter condition for the date column.

Operator -> (string) [required]

The comparison operator to use, such as BEFORE , BEFORE_OR_EQUALS_TO , AFTER , or AFTER_OR_EQUALS_TO .

Possible values:

BEFORE

BEFORE_OR_EQUALS_TO

AFTER

AFTER_OR_EQUALS_TO

Value -> (structure)

The date value to compare against.

StaticValue -> (timestamp)

A static date value used for filtering.

RangeFilterCondition -> (structure)

A range-based filter condition for the date column, filtering values between minimum and maximum dates.

RangeMinimum -> (structure)

The minimum date value for the range filter.

StaticValue -> (timestamp)

A static date value used for filtering.

RangeMaximum -> (structure)

The maximum date value for the range filter.

StaticValue -> (timestamp)

A static date value used for filtering.

IncludeMinimum -> (boolean)

Whether to include the minimum value in the filter range.

IncludeMaximum -> (boolean)

Whether to include the maximum value in the filter range.

CreateColumnsOperation -> (structure)

An operation that creates calculated columns. Columns created in one such operation form a lexical closure.

Alias -> (string)

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure)

The source transform operation that provides input data for creating new calculated columns.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

Columns -> (list) [required]

Calculated columns to create.

Constraints:

min: 0

max: 256

(structure)

A calculated column for a dataset.

ColumnName -> (string) [required]

Column name.

Constraints:

min: 1

max: 128

ColumnId -> (string) [required]

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, Quick Sight preserves the existing calculated column.

Constraints:

min: 1

max: 64

Expression -> (string) [required]

An expression that defines the calculated column.

Constraints:

min: 1

max: 250000

RenameColumnOperation -> (structure)

An operation that renames a column.

ColumnName -> (string) [required]

The name of the column to be renamed.

Constraints:

min: 1

max: 128

NewColumnName -> (string) [required]

The new name for the column.

Constraints:

min: 1

max: 128

CastColumnTypeOperation -> (structure)

A transform operation that casts a column to a different type.

ColumnName -> (string) [required]

Column name.

Constraints:

min: 1

max: 128

NewColumnType -> (string) [required]

New column data type.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

SubType -> (string)

The sub data type of the new column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

Format -> (string)

When casting a column from string to datetime type, you can supply a string in a format supported by Quick Sight to denote the source data format.

Constraints:

max: 32

TagColumnOperation -> (structure)

An operation that tags a column with additional information.

ColumnName -> (string) [required]

The column that this operation acts on.

Constraints:

min: 1

max: 128

Tags -> (list) [required]

The dataset column tag, currently only used for geospatial type tagging.

Note
This is not tags for the Amazon Web Services tagging feature.

Constraints:

min: 1

max: 16

(structure)

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.

ColumnGeographicRole -> (string)

A geospatial role for a column.

Possible values:

COUNTRY

STATE

COUNTY

CITY

POSTCODE

LONGITUDE

LATITUDE

ColumnDescription -> (structure)

A description for a column.

Text -> (string)

The text of a description for a column.

Constraints:

min: 0

max: 500

UntagColumnOperation -> (structure)

A transform operation that removes tags associated with a column.

ColumnName -> (string) [required]

The column that this operation acts on.

Constraints:

min: 1

max: 128

TagNames -> (list) [required]

The column tags to remove from this column.

(string)

Possible values:

COLUMN_GEOGRAPHIC_ROLE

COLUMN_DESCRIPTION

OverrideDatasetParameterOperation -> (structure)

A transform operation that overrides the dataset parameter values that are defined in another dataset.

ParameterName -> (string) [required]

The name of the parameter to be overridden with different values.

Constraints:

min: 1

max: 2048

pattern: ^[a-zA-Z0-9]+$

NewParameterName -> (string)

The new name for the parameter.

Constraints:

min: 1

max: 2048

pattern: ^[a-zA-Z0-9]+$

NewDefaultValues -> (structure)

The new default values for the parameter.

StringStaticValues -> (list)

A list of static default values for a given string parameter.

Constraints:

min: 1

max: 32

(string)

The default value for the string parameter.

Constraints:

min: 0

max: 512

DecimalStaticValues -> (list)

A list of static default values for a given decimal parameter.

Constraints:

min: 1

max: 32

(double)

The default value for the decimal parameter.

DateTimeStaticValues -> (list)

A list of static default values for a given date time parameter.

Constraints:

min: 1

max: 32

(timestamp)

The default value for the date time parameter.

IntegerStaticValues -> (list)

A list of static default values for a given integer parameter.

Constraints:

min: 1

max: 32

(long)

The default value for the integer parameter.

Source -> (structure) [required]

Source of this logical table.

JoinInstruction -> (structure)

Specifies the result of a join of two logical tables.

LeftOperand -> (string) [required]

The operand on the left side of a join.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

RightOperand -> (string) [required]

The operand on the right side of a join.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

LeftJoinKeyProperties -> (structure)

Join key properties of the left operand.

UniqueKey -> (boolean)

A value that indicates that a row in a table is uniquely identified by the columns in a join key. This is used by Quick Sight to optimize query performance.

RightJoinKeyProperties -> (structure)

Join key properties of the right operand.

UniqueKey -> (boolean)

A value that indicates that a row in a table is uniquely identified by the columns in a join key. This is used by Quick Sight to optimize query performance.

Type -> (string) [required]

The type of join that it is.

Possible values:

INNER

OUTER

LEFT

RIGHT

OnClause -> (string) [required]

The join instructions provided in the ON clause of a join.

Constraints:

min: 1

max: 512

PhysicalTableId -> (string)

Physical table ID.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

DataSetArn -> (string)

The Amazon Resource Number (ARN) of the parent dataset.

OutputColumns -> (list)

The list of columns after all transforms. These columns are available in templates, analyses, and dashboards.

(structure)

Output column.

Name -> (string)

The display name of the column..

Constraints:

min: 1

max: 128

Id -> (string)

A unique identifier for the output column.

Constraints:

min: 1

max: 64

Description -> (string)

A description for a column.

Constraints:

min: 0

max: 500

Type -> (string)

The data type of the column.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

SubType -> (string)

The sub data type of the column.

Possible values:

FLOAT

FIXED

ImportMode -> (string)

A value that indicates whether you want to import the data into SPICE.

Possible values:

SPICE

DIRECT_QUERY

ConsumedSpiceCapacityInBytes -> (long)

The amount of SPICE capacity used by this dataset. This is 0 if the dataset isn’t imported into SPICE.

ColumnGroups -> (list)

Groupings of columns that work together in certain Quick Sight features. Currently, only geospatial hierarchy is supported.

Constraints:

min: 1

max: 8

(structure)

Groupings of columns that work together in certain Quick Sight features. This is a variant type structure. For this structure to be valid, only one of the attributes can be non-null.

GeoSpatialColumnGroup -> (structure)

Geospatial column group that denotes a hierarchy.

Name -> (string) [required]

A display name for the hierarchy.

Constraints:

min: 1

max: 64

CountryCode -> (string)

Country code.

Possible values:

US

Columns -> (list) [required]

Columns in this hierarchy.

Constraints:

min: 1

max: 16

(string)

Constraints:

min: 1

max: 128

FieldFolders -> (map)

The folder that contains fields and nested subfolders for your dataset.

key -> (string)

Constraints:

min: 1

max: 1000

value -> (structure)

A FieldFolder element is a folder that contains fields and nested subfolders.

description -> (string)

The description for a field folder.

Constraints:

max: 500

columns -> (list)

A folder has a list of columns. A column can only be in one folder.

Constraints:

max: 5000

(string)

RowLevelPermissionDataSet -> (structure)

The row-level security configuration for the dataset.

Namespace -> (string)

The namespace associated with the dataset that contains permissions for RLS.

Constraints:

max: 64

pattern: ^[a-zA-Z0-9._-]*$

Arn -> (string) [required]

The Amazon Resource Name (ARN) of the dataset that contains permissions for RLS.

PermissionPolicy -> (string) [required]

The type of permissions to use when interpreting the permissions for RLS. DENY_ACCESS is included for backward compatibility only.

Possible values:

GRANT_ACCESS

DENY_ACCESS

FormatVersion -> (string)

The user or group rules associated with the dataset that contains permissions for RLS.

By default, FormatVersion is VERSION_1 . When FormatVersion is VERSION_1 , UserName and GroupName are required. When FormatVersion is VERSION_2 , UserARN and GroupARN are required, and Namespace must not exist.

Possible values:

VERSION_1

VERSION_2

Status -> (string)

The status of the row-level security permission dataset. If enabled, the status is ENABLED . If disabled, the status is DISABLED .

Possible values:

ENABLED

DISABLED

RowLevelPermissionTagConfiguration -> (structure)

The element you can use to define tags for row-level security.

Status -> (string)

The status of row-level security tags. If enabled, the status is ENABLED . If disabled, the status is DISABLED .

Possible values:

ENABLED

DISABLED

TagRules -> (list) [required]

A set of rules associated with row-level security, such as the tag names and columns that they are assigned to.

Constraints:

min: 1

max: 50

(structure)

A set of rules associated with a tag.

TagKey -> (string) [required]

The unique key for a tag.

Constraints:

min: 1

max: 128

ColumnName -> (string) [required]

The column name that a tag key is assigned to.

TagMultiValueDelimiter -> (string)

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.

Constraints:

max: 10

MatchAllValue -> (string)

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.

Constraints:

min: 1

max: 256

TagRuleConfigurations -> (list)

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.

Constraints:

min: 1

max: 50

(list)

Constraints:

min: 1

max: 50

(string)

Constraints:

min: 1

max: 128

ColumnLevelPermissionRules -> (list)

A set of one or more definitions of a `` ColumnLevelPermissionRule `` .

Constraints:

min: 1

(structure)

A rule defined to grant access on one or more restricted columns. Each dataset can have multiple rules. To create a restricted column, you add it to one or more rules. Each rule must contain at least one column and at least one user or group. To be able to see a restricted column, a user or group needs to be added to a rule for that column.

Principals -> (list)

An array of Amazon Resource Names (ARNs) for Quick Sight users or groups.

Constraints:

min: 1

max: 100

(string)

ColumnNames -> (list)

An array of column names.

Constraints:

min: 1

(string)

DataSetUsageConfiguration -> (structure)

The usage configuration to apply to child datasets that reference this dataset as a source.

DisableUseAsDirectQuerySource -> (boolean)

An option that controls whether a child dataset of a direct query can use this dataset as a source.

DisableUseAsImportedSource -> (boolean)

An option that controls whether a child dataset that’s stored in Quick Sight can use this dataset as a source.

DatasetParameters -> (list)

The parameters that are declared in a dataset.

Constraints:

min: 1

max: 32

(structure)

A parameter that is created in a dataset. The parameter can be a string, integer, decimal, or datetime data type.

StringDatasetParameter -> (structure)

A string parameter that is created in the dataset.

Id -> (string) [required]

An identifier for the string parameter that is created in the dataset.

Constraints:

min: 1

max: 128

pattern: ^[a-zA-Z0-9-]+$

Name -> (string) [required]

The name of the string parameter that is created in the dataset.

Constraints:

min: 1

max: 2048

pattern: ^[a-zA-Z0-9]+$

ValueType -> (string) [required]

The value type of the dataset parameter. Valid values are single value or multi value .

Possible values:

MULTI_VALUED

SINGLE_VALUED

DefaultValues -> (structure)

A list of default values for a given string dataset parameter type. This structure only accepts static values.

StaticValues -> (list)

A list of static default values for a given string parameter.

Constraints:

min: 1

max: 32

(string)

The default value for the string parameter.

Constraints:

min: 0

max: 512

DecimalDatasetParameter -> (structure)

A decimal parameter that is created in the dataset.

Id -> (string) [required]

An identifier for the decimal parameter created in the dataset.

Constraints:

min: 1

max: 128

pattern: ^[a-zA-Z0-9-]+$

Name -> (string) [required]

The name of the decimal parameter that is created in the dataset.

Constraints:

min: 1

max: 2048

pattern: ^[a-zA-Z0-9]+$

ValueType -> (string) [required]

The value type of the dataset parameter. Valid values are single value or multi value .

Possible values:

MULTI_VALUED

SINGLE_VALUED

DefaultValues -> (structure)

A list of default values for a given decimal parameter. This structure only accepts static values.

StaticValues -> (list)

A list of static default values for a given decimal parameter.

Constraints:

min: 1

max: 32

(double)

The default value for the decimal parameter.

IntegerDatasetParameter -> (structure)

An integer parameter that is created in the dataset.

Id -> (string) [required]

An identifier for the integer parameter created in the dataset.

Constraints:

min: 1

max: 128

pattern: ^[a-zA-Z0-9-]+$

Name -> (string) [required]

The name of the integer parameter that is created in the dataset.

Constraints:

min: 1

max: 2048

pattern: ^[a-zA-Z0-9]+$

ValueType -> (string) [required]

The value type of the dataset parameter. Valid values are single value or multi value .

Possible values:

MULTI_VALUED

SINGLE_VALUED

DefaultValues -> (structure)

A list of default values for a given integer parameter. This structure only accepts static values.

StaticValues -> (list)

A list of static default values for a given integer parameter.

Constraints:

min: 1

max: 32

(long)

The default value for the integer parameter.

DateTimeDatasetParameter -> (structure)

A date time parameter that is created in the dataset.

Id -> (string) [required]

An identifier for the parameter that is created in the dataset.

Constraints:

min: 1

max: 128

pattern: ^[a-zA-Z0-9-]+$

Name -> (string) [required]

The name of the date time parameter that is created in the dataset.

Constraints:

min: 1

max: 2048

pattern: ^[a-zA-Z0-9]+$

ValueType -> (string) [required]

The value type of the dataset parameter. Valid values are single value or multi value .

Possible values:

MULTI_VALUED

SINGLE_VALUED

TimeGranularity -> (string)

The time granularity of the date time parameter.

Possible values:

YEAR

QUARTER

MONTH

WEEK

DAY

HOUR

MINUTE

SECOND

MILLISECOND

DefaultValues -> (structure)

A list of default values for a given date time parameter. This structure only accepts static values.

StaticValues -> (list)

A list of static default values for a given date time parameter.

Constraints:

min: 1

max: 32

(timestamp)

The default value for the date time parameter.

PerformanceConfiguration -> (structure)

The performance optimization configuration of a dataset.

UniqueKeys -> (list)

A UniqueKey configuration.

Constraints:

min: 1

max: 1

(structure)

A UniqueKey configuration that references a dataset column.

ColumnNames -> (list) [required]

The name of the column that is referenced in the UniqueKey configuration.

Constraints:

min: 1

max: 1

(string)

Constraints:

min: 1

max: 128

UseAs -> (string)

The usage of the dataset.

Possible values:

RLS_RULES

DataPrepConfiguration -> (structure)

The data preparation configuration associated with this dataset.

SourceTableMap -> (map) [required]

A map of source tables that provide information about underlying sources.

Constraints:

min: 1

max: 32

key -> (string)

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

value -> (structure)

A source table that provides initial data from either a physical table or parent dataset.

PhysicalTableId -> (string)

The identifier of the physical table that serves as the data source.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

DataSet -> (structure)

A parent dataset that serves as the data source instead of a physical table.

DataSetArn -> (string) [required]

The Amazon Resource Name (ARN) of the parent dataset.

InputColumns -> (list) [required]

The list of input columns available from the parent dataset.

Constraints:

min: 0

max: 2048

(structure)

Metadata for a column that is used as the input of a transform operation.

Name -> (string) [required]

The name of this column in the underlying data source.

Constraints:

min: 1

max: 128

Id -> (string)

A unique identifier for the input column.

Constraints:

min: 1

max: 64

Type -> (string) [required]

The data type of the column.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

BIT

BOOLEAN

JSON

SubType -> (string)

The sub data type of the column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

TransformStepMap -> (map) [required]

A map of transformation steps that process the data.

Constraints:

min: 1

max: 256

key -> (string)

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

value -> (structure)

A step in data preparation that performs a specific operation on the data.

ImportTableStep -> (structure)

A transform step that brings data from a source table.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source configuration that specifies which source table to import and any column mappings.

SourceTableId -> (string) [required]

The identifier of the source table to import data from.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers during the import.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

ProjectStep -> (structure)

A transform operation that projects columns. Operations that come after a projection can only refer to projected columns.

Alias -> (string)

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure)

The source transform operation that provides input data for column projection.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

ProjectedColumns -> (list) [required]

Projected columns.

Constraints:

min: 0

max: 2048

(string)

FiltersStep -> (structure)

A transform step that applies filter conditions.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source transform operation that provides input data for filtering.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

FilterOperations -> (list) [required]

The list of filter operations to apply.

Constraints:

min: 0

max: 128

(structure)

A transform operation that filters rows based on a condition.

ConditionExpression -> (string)

An expression that must evaluate to a Boolean value. Rows for which the expression evaluates to true are kept in the dataset.

Constraints:

min: 1

max: 4096

StringFilterCondition -> (structure)

A string-based filter condition within a filter operation.

ColumnName -> (string)

The name of the string column to filter.

Constraints:

min: 1

max: 128

ComparisonFilterCondition -> (structure)

A comparison-based filter condition for the string column.

Operator -> (string) [required]

The comparison operator to use, such as EQUALS , CONTAINS , STARTS_WITH , ENDS_WITH , or their negations.

Possible values:

EQUALS

DOES_NOT_EQUAL

CONTAINS

DOES_NOT_CONTAIN

STARTS_WITH

ENDS_WITH

Value -> (structure)

The string value to compare against.

StaticValue -> (string)

A static string value used for filtering.

Constraints:

max: 512

ListFilterCondition -> (structure)

A list-based filter condition that includes or excludes values from a specified list.

Operator -> (string) [required]

The list operator to use, either INCLUDE to match values in the list or EXCLUDE to filter out values in the list.

Possible values:

INCLUDE

EXCLUDE

Values -> (structure)

The list of string values to include or exclude in the filter.

StaticValues -> (list)

A list of static string values used for filtering.

Constraints:

max: 1000

(string)

Constraints:

max: 512

NumericFilterCondition -> (structure)

A numeric-based filter condition within a filter operation.

ColumnName -> (string)

The name of the numeric column to filter.

Constraints:

min: 1

max: 128

ComparisonFilterCondition -> (structure)

A comparison-based filter condition for the numeric column.

Operator -> (string) [required]

The comparison operator to use, such as EQUALS , GREATER_THAN , LESS_THAN , or their variants.

Possible values:

EQUALS

DOES_NOT_EQUAL

GREATER_THAN

GREATER_THAN_OR_EQUALS_TO

LESS_THAN

LESS_THAN_OR_EQUALS_TO

Value -> (structure)

The numeric value to compare against.

StaticValue -> (double)

A static numeric value used for filtering.

RangeFilterCondition -> (structure)

A range-based filter condition for the numeric column, filtering values between minimum and maximum numbers.

RangeMinimum -> (structure)

The minimum numeric value for the range filter.

StaticValue -> (double)

A static numeric value used for filtering.

RangeMaximum -> (structure)

The maximum numeric value for the range filter.

StaticValue -> (double)

A static numeric value used for filtering.

IncludeMinimum -> (boolean)

Whether to include the minimum value in the filter range.

IncludeMaximum -> (boolean)

Whether to include the maximum value in the filter range.

DateFilterCondition -> (structure)

A date-based filter condition within a filter operation.

ColumnName -> (string)

The name of the date column to filter.

Constraints:

min: 1

max: 128

ComparisonFilterCondition -> (structure)

A comparison-based filter condition for the date column.

Operator -> (string) [required]

The comparison operator to use, such as BEFORE , BEFORE_OR_EQUALS_TO , AFTER , or AFTER_OR_EQUALS_TO .

Possible values:

BEFORE

BEFORE_OR_EQUALS_TO

AFTER

AFTER_OR_EQUALS_TO

Value -> (structure)

The date value to compare against.

StaticValue -> (timestamp)

A static date value used for filtering.

RangeFilterCondition -> (structure)

A range-based filter condition for the date column, filtering values between minimum and maximum dates.

RangeMinimum -> (structure)

The minimum date value for the range filter.

StaticValue -> (timestamp)

A static date value used for filtering.

RangeMaximum -> (structure)

The maximum date value for the range filter.

StaticValue -> (timestamp)

A static date value used for filtering.

IncludeMinimum -> (boolean)

Whether to include the minimum value in the filter range.

IncludeMaximum -> (boolean)

Whether to include the maximum value in the filter range.

CreateColumnsStep -> (structure)

A transform operation that creates calculated columns. Columns created in one such operation form a lexical closure.

Alias -> (string)

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure)

The source transform operation that provides input data for creating new calculated columns.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

Columns -> (list) [required]

Calculated columns to create.

Constraints:

min: 0

max: 256

(structure)

A calculated column for a dataset.

ColumnName -> (string) [required]

Column name.

Constraints:

min: 1

max: 128

ColumnId -> (string) [required]

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, Quick Sight preserves the existing calculated column.

Constraints:

min: 1

max: 64

Expression -> (string) [required]

An expression that defines the calculated column.

Constraints:

min: 1

max: 250000

RenameColumnsStep -> (structure)

A transform step that changes the names of one or more columns.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source transform operation that provides input data for column renaming.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

RenameColumnOperations -> (list) [required]

The list of column rename operations to perform, specifying old and new column names.

Constraints:

min: 0

max: 2048

(structure)

A transform operation that renames a column.

ColumnName -> (string) [required]

The name of the column to be renamed.

Constraints:

min: 1

max: 128

NewColumnName -> (string) [required]

The new name for the column.

Constraints:

min: 1

max: 128

CastColumnTypesStep -> (structure)

A transform step that changes the data types of one or more columns.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source transform operation that provides input data for the type casting.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

CastColumnTypeOperations -> (list) [required]

The list of column type casting operations to perform.

Constraints:

min: 0

max: 2048

(structure)

A transform operation that casts a column to a different type.

ColumnName -> (string) [required]

Column name.

Constraints:

min: 1

max: 128

NewColumnType -> (string) [required]

New column data type.

Possible values:

STRING

INTEGER

DECIMAL

DATETIME

SubType -> (string)

The sub data type of the new column. Sub types are only available for decimal columns that are part of a SPICE dataset.

Possible values:

FLOAT

FIXED

Format -> (string)

When casting a column from string to datetime type, you can supply a string in a format supported by Quick Sight to denote the source data format.

Constraints:

max: 32

JoinStep -> (structure)

A transform step that combines data from two sources based on specified join conditions.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

LeftOperand -> (structure) [required]

The left operand for the join operation.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

RightOperand -> (structure) [required]

The right operand for the join operation.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

Type -> (string) [required]

The type of join to perform, such as INNER , LEFT , RIGHT , or OUTER .

Possible values:

INNER

OUTER

LEFT

RIGHT

OnClause -> (string) [required]

The join condition that specifies how to match rows between the left and right operands.

Constraints:

min: 1

max: 512

LeftOperandProperties -> (structure)

Properties that control how the left operand’s columns are handled in the join result.

OutputColumnNameOverrides -> (list) [required]

A list of column name overrides to apply to the join operand’s output columns.

Constraints:

min: 1

max: 2048

(structure)

Specifies a mapping to override the name of an output column from a transform operation.

SourceColumnName -> (string)

The original name of the column from the source transform operation.

Constraints:

min: 1

max: 128

OutputColumnName -> (string) [required]

The new name to assign to the column in the output.

Constraints:

min: 1

max: 128

RightOperandProperties -> (structure)

Properties that control how the right operand’s columns are handled in the join result.

OutputColumnNameOverrides -> (list) [required]

A list of column name overrides to apply to the join operand’s output columns.

Constraints:

min: 1

max: 2048

(structure)

Specifies a mapping to override the name of an output column from a transform operation.

SourceColumnName -> (string)

The original name of the column from the source transform operation.

Constraints:

min: 1

max: 128

OutputColumnName -> (string) [required]

The new name to assign to the column in the output.

Constraints:

min: 1

max: 128

AggregateStep -> (structure)

A transform step that groups data and applies aggregation functions to calculate summary values.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source transform operation that provides input data for the aggregation.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

GroupByColumnNames -> (list)

The list of column names to group by when performing the aggregation. Rows with the same values in these columns will be grouped together.

Constraints:

min: 0

max: 128

(string)

Constraints:

min: 1

max: 128

Aggregations -> (list) [required]

The list of aggregation functions to apply to the grouped data, such as SUM , COUNT , or AVERAGE .

Constraints:

min: 0

max: 128

(structure)

Defines an aggregation function to be applied to grouped data, creating a new column with the calculated result.

AggregationFunction -> (structure) [required]

The aggregation function to apply, such as SUM , COUNT , AVERAGE , MIN , MAX

SimpleAggregation -> (structure)

A simple aggregation function such as SUM , COUNT , AVERAGE , MIN , MAX , MEDIAN , VARIANCE , or STANDARD_DEVIATION .

InputColumnName -> (string)

The name of the column on which to perform the aggregation function.

Constraints:

min: 1

max: 128

FunctionType -> (string) [required]

The type of aggregation function to perform, such as COUNT , SUM , AVERAGE , MIN , MAX , MEDIAN , VARIANCE , or STANDARD_DEVIATION .

Possible values:

COUNT

DISTINCT_COUNT

SUM

AVERAGE

MAX

MIN

ListAggregation -> (structure)

A list aggregation function that concatenates values from multiple rows into a single delimited string.

InputColumnName -> (string)

The name of the column containing values to be concatenated.

Constraints:

min: 1

max: 128

Separator -> (string) [required]

The string used to separate values in the concatenated result.

Distinct -> (boolean) [required]

Whether to include only distinct values in the concatenated result, removing duplicates.

NewColumnName -> (string) [required]

The name for the new column that will contain the aggregated values.

Constraints:

min: 1

max: 128

NewColumnId -> (string) [required]

A unique identifier for the new column that will contain the aggregated values.

Constraints:

min: 1

max: 64

PivotStep -> (structure)

A transform step that converts row values into columns to reshape the data structure.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source transform operation that provides input data for pivoting.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

GroupByColumnNames -> (list)

The list of column names to group by when performing the pivot operation.

Constraints:

min: 0

max: 128

(string)

Constraints:

min: 1

max: 128

ValueColumnConfiguration -> (structure) [required]

Configuration for how to aggregate values when multiple rows map to the same pivoted column.

AggregationFunction -> (structure)

The aggregation function to apply when multiple values map to the same pivoted cell.

SimpleAggregation -> (structure)

A simple aggregation function such as SUM , COUNT , AVERAGE , MIN , MAX , MEDIAN , VARIANCE , or STANDARD_DEVIATION .

InputColumnName -> (string)

The name of the column on which to perform the aggregation function.

Constraints:

min: 1

max: 128

FunctionType -> (string) [required]

The type of aggregation function to perform, such as COUNT , SUM , AVERAGE , MIN , MAX , MEDIAN , VARIANCE , or STANDARD_DEVIATION .

Possible values:

COUNT

DISTINCT_COUNT

SUM

AVERAGE

MAX

MIN

ListAggregation -> (structure)

A list aggregation function that concatenates values from multiple rows into a single delimited string.

InputColumnName -> (string)

The name of the column containing values to be concatenated.

Constraints:

min: 1

max: 128

Separator -> (string) [required]

The string used to separate values in the concatenated result.

Distinct -> (boolean) [required]

Whether to include only distinct values in the concatenated result, removing duplicates.

PivotConfiguration -> (structure) [required]

Configuration that specifies which labels to pivot and how to structure the resulting columns.

LabelColumnName -> (string)

The name of the column that contains the labels to be pivoted into separate columns.

Constraints:

min: 1

max: 128

PivotedLabels -> (list) [required]

The list of specific label values to pivot into separate columns.

Constraints:

min: 0

max: 100

(structure)

Specifies a label value to be pivoted into a separate column, including the new column name and identifier.

LabelName -> (string) [required]

The label value from the source data to be pivoted.

Constraints:

min: 0

max: 2047

NewColumnName -> (string) [required]

The name for the new column created from this pivoted label.

Constraints:

min: 1

max: 128

NewColumnId -> (string) [required]

A unique identifier for the new column created from this pivoted label.

Constraints:

min: 1

max: 64

UnpivotStep -> (structure)

A transform step that converts columns into rows to normalize the data structure.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source transform operation that provides input data for unpivoting.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

ColumnsToUnpivot -> (list) [required]

The list of columns to unpivot from the source data.

Constraints:

min: 0

max: 100

(structure)

Specifies a column to be unpivoted, transforming it from a column into rows with associated values.

ColumnName -> (string)

The name of the column to unpivot from the source data.

Constraints:

min: 1

max: 128

NewValue -> (string)

The value to assign to this column in the unpivoted result, typically the column name or a descriptive label.

Constraints:

min: 0

max: 2047

UnpivotedLabelColumnName -> (string) [required]

The name for the new column that will contain the unpivoted column names.

Constraints:

min: 1

max: 128

UnpivotedLabelColumnId -> (string) [required]

A unique identifier for the new column that will contain the unpivoted column names.

Constraints:

min: 1

max: 64

UnpivotedValueColumnName -> (string) [required]

The name for the new column that will contain the unpivoted values.

Constraints:

min: 1

max: 128

UnpivotedValueColumnId -> (string) [required]

A unique identifier for the new column that will contain the unpivoted values.

Constraints:

min: 1

max: 64

AppendStep -> (structure)

A transform step that combines rows from multiple sources by stacking them vertically.

Alias -> (string) [required]

Alias for this operation.

Constraints:

min: 1

max: 64

FirstSource -> (structure)

The first data source to be included in the append operation.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

SecondSource -> (structure)

The second data source to be appended to the first source.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides input data.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

ColumnIdMappings -> (list)

The mappings between source column identifiers and target column identifiers for this transformation.

Constraints:

min: 1

max: 2048

(structure)

Maps a source column identifier to a target column identifier during transform operations.

SourceColumnId -> (string) [required]

Source column ID.

Constraints:

min: 1

max: 64

TargetColumnId -> (string) [required]

Target column ID.

Constraints:

min: 1

max: 64

AppendedColumns -> (list) [required]

The list of columns to include in the appended result, mapping columns from both sources.

Constraints:

min: 0

max: 2048

(structure)

Represents a column that will be included in the result of an append operation, combining data from multiple sources.

ColumnName -> (string) [required]

The name of the column to include in the appended result.

Constraints:

min: 1

max: 128

NewColumnId -> (string) [required]

A unique identifier for the column in the appended result.

Constraints:

min: 1

max: 64

DestinationTableMap -> (map) [required]

A map of destination tables that receive the final prepared data.

Constraints:

min: 1

max: 1

key -> (string)

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

value -> (structure)

Defines a destination table in data preparation that receives the final transformed data.

Alias -> (string) [required]

Alias for the destination table.

Constraints:

min: 1

max: 64

Source -> (structure) [required]

The source configuration that specifies which transform operation provides data to this destination table.

TransformOperationId -> (string) [required]

The identifier of the transform operation that provides data to the destination table.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

SemanticModelConfiguration -> (structure)

The semantic model configuration associated with this dataset.

TableMap -> (map)

A map of semantic tables that define the analytical structure.

Constraints:

min: 1

max: 1

key -> (string)

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

value -> (structure)

A semantic table that represents the final analytical structure of the data.

Alias -> (string) [required]

Alias for the semantic table.

Constraints:

min: 1

max: 64

DestinationTableId -> (string) [required]

The identifier of the destination table from data preparation that provides data to this semantic table.

Constraints:

min: 1

max: 64

pattern: [0-9a-zA-Z-]*

RowLevelPermissionConfiguration -> (structure)

Configuration for row level security that control data access for this semantic table.

TagConfiguration -> (structure)

The configuration of tags on a dataset to set row-level security.

Status -> (string)

The status of row-level security tags. If enabled, the status is ENABLED . If disabled, the status is DISABLED .

Possible values:

ENABLED

DISABLED

TagRules -> (list) [required]

A set of rules associated with row-level security, such as the tag names and columns that they are assigned to.

Constraints:

min: 1

max: 50

(structure)

A set of rules associated with a tag.

TagKey -> (string) [required]

The unique key for a tag.

Constraints:

min: 1

max: 128

ColumnName -> (string) [required]

The column name that a tag key is assigned to.

TagMultiValueDelimiter -> (string)

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.

Constraints:

max: 10

MatchAllValue -> (string)

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.

Constraints:

min: 1

max: 256

TagRuleConfigurations -> (list)

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.

Constraints:

min: 1

max: 50

(list)

Constraints:

min: 1

max: 50

(string)

Constraints:

min: 1

max: 128

RowLevelPermissionDataSet -> (structure)

Information about a dataset that contains permissions for row-level security (RLS). The permissions dataset maps fields to users or groups. For more information, see Using Row-Level Security (RLS) to Restrict Access to a Dataset in the Quick Sight User Guide .

The option to deny permissions by setting PermissionPolicy to DENY_ACCESS is not supported for new RLS datasets.

Namespace -> (string)

The namespace associated with the dataset that contains permissions for RLS.

Constraints:

max: 64

pattern: ^[a-zA-Z0-9._-]*$

Arn -> (string) [required]

The Amazon Resource Name (ARN) of the dataset that contains permissions for RLS.

PermissionPolicy -> (string) [required]

The type of permissions to use when interpreting the permissions for RLS. DENY_ACCESS is included for backward compatibility only.

Possible values:

GRANT_ACCESS

DENY_ACCESS

FormatVersion -> (string)

The user or group rules associated with the dataset that contains permissions for RLS.

By default, FormatVersion is VERSION_1 . When FormatVersion is VERSION_1 , UserName and GroupName are required. When FormatVersion is VERSION_2 , UserARN and GroupARN are required, and Namespace must not exist.

Possible values:

VERSION_1

VERSION_2

Status -> (string)

The status of the row-level security permission dataset. If enabled, the status is ENABLED . If disabled, the status is DISABLED .

Possible values:

ENABLED

DISABLED

RequestId -> (string)

The Amazon Web Services request ID for this operation.

Status -> (integer)

The HTTP status of the request.

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