DataCellsFilter

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={
    "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": {
        "filter_expression": "my_column='example'",
    },
})

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 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
	})
}

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'

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