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  5. DataCellsFilter

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AWS Classic v6.32.0 published on Friday, Apr 19, 2024 by Pulumi
pulumi/pulumi-aws

aws.lakeformation.DataCellsFilter

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Try AWS Native preview for resources not in the classic version.

AWS Classic v6.32.0 published on Friday, Apr 19, 2024 by Pulumi
pulumi/pulumi-aws

    Resource for managing an AWS Lake Formation Data Cells Filter.

    Example Usage

    Basic Usage

    import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.lakeformation.DataCellsFilter("example", {tableData: {
    databaseName: test.name,
    name: "example",
    tableCatalogId: current.accountId,
    tableName: testAwsGlueCatalogTable.name,
    columnNames: ["my_column"],
    rowFilter: {
        filterExpression: "my_column='example'",
    },
}});

    import pulumi
import pulumi_aws as aws

example = aws.lakeformation.DataCellsFilter("example", table_data=aws.lakeformation.DataCellsFilterTableDataArgs(
    database_name=test["name"],
    name="example",
    table_catalog_id=current["accountId"],
    table_name=test_aws_glue_catalog_table["name"],
    column_names=["my_column"],
    row_filter=aws.lakeformation.DataCellsFilterTableDataRowFilterArgs(
        filter_expression="my_column='example'",
    ),
))

    package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/lakeformation"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := lakeformation.NewDataCellsFilter(ctx, "example", &lakeformation.DataCellsFilterArgs{
			TableData: &lakeformation.DataCellsFilterTableDataArgs{
				DatabaseName:   pulumi.Any(test.Name),
				Name:           pulumi.String("example"),
				TableCatalogId: pulumi.Any(current.AccountId),
				TableName:      pulumi.Any(testAwsGlueCatalogTable.Name),
				ColumnNames: pulumi.StringArray{
					pulumi.String("my_column"),
				},
				RowFilter: &lakeformation.DataCellsFilterTableDataRowFilterArgs{
					FilterExpression: pulumi.String("my_column='example'"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.LakeFormation.DataCellsFilter("example", new()
    {
        TableData = new Aws.LakeFormation.Inputs.DataCellsFilterTableDataArgs
        {
            DatabaseName = test.Name,
            Name = "example",
            TableCatalogId = current.AccountId,
            TableName = testAwsGlueCatalogTable.Name,
            ColumnNames = new[]
            {
                "my_column",
            },
            RowFilter = new Aws.LakeFormation.Inputs.DataCellsFilterTableDataRowFilterArgs
            {
                FilterExpression = "my_column='example'",
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.lakeformation.DataCellsFilter;
import com.pulumi.aws.lakeformation.DataCellsFilterArgs;
import com.pulumi.aws.lakeformation.inputs.DataCellsFilterTableDataArgs;
import com.pulumi.aws.lakeformation.inputs.DataCellsFilterTableDataRowFilterArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new DataCellsFilter("example", DataCellsFilterArgs.builder()        
            .tableData(DataCellsFilterTableDataArgs.builder()
                .databaseName(test.name())
                .name("example")
                .tableCatalogId(current.accountId())
                .tableName(testAwsGlueCatalogTable.name())
                .columnNames("my_column")
                .rowFilter(DataCellsFilterTableDataRowFilterArgs.builder()
                    .filterExpression("my_column='example'")
                    .build())
                .build())
            .build());

    }
}

    resources:
  example:
    type: aws:lakeformation:DataCellsFilter
    properties:
      tableData:
        databaseName: ${test.name}
        name: example
        tableCatalogId: ${current.accountId}
        tableName: ${testAwsGlueCatalogTable.name}
        columnNames:
          - my_column
        rowFilter:
          filterExpression: my_column='example'

    Create DataCellsFilter Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new DataCellsFilter(name: string, args?: DataCellsFilterArgs, opts?: CustomResourceOptions);
    @overload
def DataCellsFilter(resource_name: str,
                    args: Optional[DataCellsFilterArgs] = None,
                    opts: Optional[ResourceOptions] = None)

@overload
def DataCellsFilter(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    table_data: Optional[DataCellsFilterTableDataArgs] = None,
                    timeouts: Optional[DataCellsFilterTimeoutsArgs] = None)
    func NewDataCellsFilter(ctx *Context, name string, args *DataCellsFilterArgs, opts ...ResourceOption) (*DataCellsFilter, error)
    public DataCellsFilter(string name, DataCellsFilterArgs? args = null, CustomResourceOptions? opts = null)
    public DataCellsFilter(String name, DataCellsFilterArgs args)
public DataCellsFilter(String name, DataCellsFilterArgs args, CustomResourceOptions options)

    type: aws:lakeformation:DataCellsFilter
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args DataCellsFilterArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args DataCellsFilterArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args DataCellsFilterArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DataCellsFilterArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DataCellsFilterArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

    The following reference example uses placeholder values for all input properties.

    var dataCellsFilterResource = new Aws.LakeFormation.DataCellsFilter("dataCellsFilterResource", new()
{
    TableData = new Aws.LakeFormation.Inputs.DataCellsFilterTableDataArgs
    {
        DatabaseName = "string",
        Name = "string",
        TableCatalogId = "string",
        TableName = "string",
        ColumnNames = new[]
        {
            "string",
        },
        ColumnWildcard = new Aws.LakeFormation.Inputs.DataCellsFilterTableDataColumnWildcardArgs
        {
            ExcludedColumnNames = new[]
            {
                "string",
            },
        },
        RowFilter = new Aws.LakeFormation.Inputs.DataCellsFilterTableDataRowFilterArgs
        {
            AllRowsWildcard = null,
            FilterExpression = "string",
        },
        VersionId = "string",
    },
    Timeouts = new Aws.LakeFormation.Inputs.DataCellsFilterTimeoutsArgs
    {
        Create = "string",
    },
});

    example, err := lakeformation.NewDataCellsFilter(ctx, "dataCellsFilterResource", &lakeformation.DataCellsFilterArgs{
	TableData: &lakeformation.DataCellsFilterTableDataArgs{
		DatabaseName:   pulumi.String("string"),
		Name:           pulumi.String("string"),
		TableCatalogId: pulumi.String("string"),
		TableName:      pulumi.String("string"),
		ColumnNames: pulumi.StringArray{
			pulumi.String("string"),
		},
		ColumnWildcard: &lakeformation.DataCellsFilterTableDataColumnWildcardArgs{
			ExcludedColumnNames: pulumi.StringArray{
				pulumi.String("string"),
			},
		},
		RowFilter: &lakeformation.DataCellsFilterTableDataRowFilterArgs{
			AllRowsWildcard:  nil,
			FilterExpression: pulumi.String("string"),
		},
		VersionId: pulumi.String("string"),
	},
	Timeouts: &lakeformation.DataCellsFilterTimeoutsArgs{
		Create: pulumi.String("string"),
	},
})

    var dataCellsFilterResource = new DataCellsFilter("dataCellsFilterResource", DataCellsFilterArgs.builder()        
    .tableData(DataCellsFilterTableDataArgs.builder()
        .databaseName("string")
        .name("string")
        .tableCatalogId("string")
        .tableName("string")
        .columnNames("string")
        .columnWildcard(DataCellsFilterTableDataColumnWildcardArgs.builder()
            .excludedColumnNames("string")
            .build())
        .rowFilter(DataCellsFilterTableDataRowFilterArgs.builder()
            .allRowsWildcard()
            .filterExpression("string")
            .build())
        .versionId("string")
        .build())
    .timeouts(DataCellsFilterTimeoutsArgs.builder()
        .create("string")
        .build())
    .build());

    data_cells_filter_resource = aws.lakeformation.DataCellsFilter("dataCellsFilterResource",
    table_data=aws.lakeformation.DataCellsFilterTableDataArgs(
        database_name="string",
        name="string",
        table_catalog_id="string",
        table_name="string",
        column_names=["string"],
        column_wildcard=aws.lakeformation.DataCellsFilterTableDataColumnWildcardArgs(
            excluded_column_names=["string"],
        ),
        row_filter=aws.lakeformation.DataCellsFilterTableDataRowFilterArgs(
            all_rows_wildcard=aws.lakeformation.DataCellsFilterTableDataRowFilterAllRowsWildcardArgs(),
            filter_expression="string",
        ),
        version_id="string",
    ),
    timeouts=aws.lakeformation.DataCellsFilterTimeoutsArgs(
        create="string",
    ))

    const dataCellsFilterResource = new aws.lakeformation.DataCellsFilter("dataCellsFilterResource", {
    tableData: {
        databaseName: "string",
        name: "string",
        tableCatalogId: "string",
        tableName: "string",
        columnNames: ["string"],
        columnWildcard: {
            excludedColumnNames: ["string"],
        },
        rowFilter: {
            allRowsWildcard: {},
            filterExpression: "string",
        },
        versionId: "string",
    },
    timeouts: {
        create: "string",
    },
});

    type: aws:lakeformation:DataCellsFilter
properties:
    tableData:
        columnNames:
            - string
        columnWildcard:
            excludedColumnNames:
                - string
        databaseName: string
        name: string
        rowFilter:
            allRowsWildcard: {}
            filterExpression: string
        tableCatalogId: string
        tableName: string
        versionId: string
    timeouts:
        create: string

    DataCellsFilter Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The DataCellsFilter resource accepts the following input properties:

    TableData DataCellsFilterTableData
    Information about the data cells filter. See Table Data below for details.
    Timeouts DataCellsFilterTimeouts
    TableData DataCellsFilterTableDataArgs
    Information about the data cells filter. See Table Data below for details.
    Timeouts DataCellsFilterTimeoutsArgs
    tableData DataCellsFilterTableData
    Information about the data cells filter. See Table Data below for details.
    timeouts DataCellsFilterTimeouts
    tableData DataCellsFilterTableData
    Information about the data cells filter. See Table Data below for details.
    timeouts DataCellsFilterTimeouts
    table_data DataCellsFilterTableDataArgs
    Information about the data cells filter. See Table Data below for details.
    timeouts DataCellsFilterTimeoutsArgs
    tableData Property Map
    Information about the data cells filter. See Table Data below for details.
    timeouts Property Map

    Outputs

    All input properties are implicitly available as output properties. Additionally, the DataCellsFilter resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing DataCellsFilter Resource

    Get an existing DataCellsFilter resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: DataCellsFilterState, opts?: CustomResourceOptions): DataCellsFilter
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        table_data: Optional[DataCellsFilterTableDataArgs] = None,
        timeouts: Optional[DataCellsFilterTimeoutsArgs] = None) -> DataCellsFilter
    func GetDataCellsFilter(ctx *Context, name string, id IDInput, state *DataCellsFilterState, opts ...ResourceOption) (*DataCellsFilter, error)
    public static DataCellsFilter Get(string name, Input<string> id, DataCellsFilterState? state, CustomResourceOptions? opts = null)
    public static DataCellsFilter get(String name, Output<String> id, DataCellsFilterState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    TableData DataCellsFilterTableData
    Information about the data cells filter. See Table Data below for details.
    Timeouts DataCellsFilterTimeouts
    TableData DataCellsFilterTableDataArgs
    Information about the data cells filter. See Table Data below for details.
    Timeouts DataCellsFilterTimeoutsArgs
    tableData DataCellsFilterTableData
    Information about the data cells filter. See Table Data below for details.
    timeouts DataCellsFilterTimeouts
    tableData DataCellsFilterTableData
    Information about the data cells filter. See Table Data below for details.
    timeouts DataCellsFilterTimeouts
    table_data DataCellsFilterTableDataArgs
    Information about the data cells filter. See Table Data below for details.
    timeouts DataCellsFilterTimeoutsArgs
    tableData Property Map
    Information about the data cells filter. See Table Data below for details.
    timeouts Property Map

    Supporting Types

    DataCellsFilterTableData, DataCellsFilterTableDataArgs

    DatabaseName string
    The name of the database.
    Name string
    The name of the data cells filter.
    TableCatalogId string
    The ID of the Data Catalog.
    TableName string
    The name of the table.
    ColumnNames List<string>
    A list of column names and/or nested column attributes.
    ColumnWildcard DataCellsFilterTableDataColumnWildcard
    RowFilter DataCellsFilterTableDataRowFilter
    A PartiQL predicate. See Row Filter below for details.
    VersionId string
    ID of the data cells filter version.
    DatabaseName string
    The name of the database.
    Name string
    The name of the data cells filter.
    TableCatalogId string
    The ID of the Data Catalog.
    TableName string
    The name of the table.
    ColumnNames []string
    A list of column names and/or nested column attributes.
    ColumnWildcard DataCellsFilterTableDataColumnWildcard
    RowFilter DataCellsFilterTableDataRowFilter
    A PartiQL predicate. See Row Filter below for details.
    VersionId string
    ID of the data cells filter version.
    databaseName String
    The name of the database.
    name String
    The name of the data cells filter.
    tableCatalogId String
    The ID of the Data Catalog.
    tableName String
    The name of the table.
    columnNames List<String>
    A list of column names and/or nested column attributes.
    columnWildcard DataCellsFilterTableDataColumnWildcard
    rowFilter DataCellsFilterTableDataRowFilter
    A PartiQL predicate. See Row Filter below for details.
    versionId String
    ID of the data cells filter version.
    databaseName string
    The name of the database.
    name string
    The name of the data cells filter.
    tableCatalogId string
    The ID of the Data Catalog.
    tableName string
    The name of the table.
    columnNames string[]
    A list of column names and/or nested column attributes.
    columnWildcard DataCellsFilterTableDataColumnWildcard
    rowFilter DataCellsFilterTableDataRowFilter
    A PartiQL predicate. See Row Filter below for details.
    versionId string
    ID of the data cells filter version.
    database_name str
    The name of the database.
    name str
    The name of the data cells filter.
    table_catalog_id str
    The ID of the Data Catalog.
    table_name str
    The name of the table.
    column_names Sequence[str]
    A list of column names and/or nested column attributes.
    column_wildcard DataCellsFilterTableDataColumnWildcard
    row_filter DataCellsFilterTableDataRowFilter
    A PartiQL predicate. See Row Filter below for details.
    version_id str
    ID of the data cells filter version.
    databaseName String
    The name of the database.
    name String
    The name of the data cells filter.
    tableCatalogId String
    The ID of the Data Catalog.
    tableName String
    The name of the table.
    columnNames List<String>
    A list of column names and/or nested column attributes.
    columnWildcard Property Map
    rowFilter Property Map
    A PartiQL predicate. See Row Filter below for details.
    versionId String
    ID of the data cells filter version.

    DataCellsFilterTableDataColumnWildcard, DataCellsFilterTableDataColumnWildcardArgs

    ExcludedColumnNames List<string>
    (Optional) Excludes column names. Any column with this name will be excluded.
    ExcludedColumnNames []string
    (Optional) Excludes column names. Any column with this name will be excluded.
    excludedColumnNames List<String>
    (Optional) Excludes column names. Any column with this name will be excluded.
    excludedColumnNames string[]
    (Optional) Excludes column names. Any column with this name will be excluded.
    excluded_column_names Sequence[str]
    (Optional) Excludes column names. Any column with this name will be excluded.
    excludedColumnNames List<String>
    (Optional) Excludes column names. Any column with this name will be excluded.

    DataCellsFilterTableDataRowFilter, DataCellsFilterTableDataRowFilterArgs

    AllRowsWildcard DataCellsFilterTableDataRowFilterAllRowsWildcard
    (Optional) A wildcard that matches all rows.
    FilterExpression string
    (Optional) A filter expression.
    AllRowsWildcard DataCellsFilterTableDataRowFilterAllRowsWildcard
    (Optional) A wildcard that matches all rows.
    FilterExpression string
    (Optional) A filter expression.
    allRowsWildcard DataCellsFilterTableDataRowFilterAllRowsWildcard
    (Optional) A wildcard that matches all rows.
    filterExpression String
    (Optional) A filter expression.
    allRowsWildcard DataCellsFilterTableDataRowFilterAllRowsWildcard
    (Optional) A wildcard that matches all rows.
    filterExpression string
    (Optional) A filter expression.
    all_rows_wildcard DataCellsFilterTableDataRowFilterAllRowsWildcard
    (Optional) A wildcard that matches all rows.
    filter_expression str
    (Optional) A filter expression.
    allRowsWildcard Property Map
    (Optional) A wildcard that matches all rows.
    filterExpression String
    (Optional) A filter expression.

    DataCellsFilterTimeouts, DataCellsFilterTimeoutsArgs

    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).

    Import

    Using pulumi import, import Lake Formation Data Cells Filter using the id. For example:

    $ pulumi import aws:lakeformation/dataCellsFilter:DataCellsFilter example database_name,name,table_catalog_id,table_name

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    AWS Classic pulumi/pulumi-aws
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the aws Terraform Provider.
    aws logo

    Try AWS Native preview for resources not in the classic version.

    AWS Classic v6.32.0 published on Friday, Apr 19, 2024 by Pulumi
    pulumi/pulumi-aws