pulumi-aws-kotlin/com.pulumi.aws.timestreamquery.kotlin/ScheduledQueryArgs

ScheduledQueryArgs

data class ScheduledQueryArgs(val errorReportConfiguration: Output<ScheduledQueryErrorReportConfigurationArgs>? = null, val executionRoleArn: Output<String>? = null, val kmsKeyId: Output<String>? = null, val lastRunSummaries: Output<List<ScheduledQueryLastRunSummaryArgs>>? = null, val name: Output<String>? = null, val notificationConfiguration: Output<ScheduledQueryNotificationConfigurationArgs>? = null, val queryString: Output<String>? = null, val recentlyFailedRuns: Output<List<ScheduledQueryRecentlyFailedRunArgs>>? = null, val scheduleConfiguration: Output<ScheduledQueryScheduleConfigurationArgs>? = null, val tags: Output<Map<String, String>>? = null, val targetConfiguration: Output<ScheduledQueryTargetConfigurationArgs>? = null, val timeouts: Output<ScheduledQueryTimeoutsArgs>? = null) : ConvertibleToJava<ScheduledQueryArgs>

Resource for managing an AWS Timestream Query Scheduled Query.

Example Usage

Basic Usage

Before creating a scheduled query, you must have a source database and table with ingested data. Below is a multi-step example, providing an opportunity for data ingestion. If your infrastructure is already set up—including the source database and table with data, results database and table, error report S3 bucket, SNS topic, and IAM role—you can create a scheduled query as follows:

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const example = new aws.timestreamquery.ScheduledQuery("example", {
    executionRoleArn: exampleAwsIamRole.arn,
    name: exampleAwsTimestreamwriteTable.tableName,
    queryString: `SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
\x09ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
`,
    errorReportConfiguration: {
        s3Configuration: {
            bucketName: exampleAwsS3Bucket.bucket,
        },
    },
    notificationConfiguration: {
        snsConfiguration: {
            topicArn: exampleAwsSnsTopic.arn,
        },
    },
    scheduleConfiguration: {
        scheduleExpression: "rate(1 hour)",
    },
    targetConfiguration: {
        timestreamConfiguration: {
            databaseName: results.databaseName,
            tableName: resultsAwsTimestreamwriteTable.tableName,
            timeColumn: "binned_timestamp",
            dimensionMappings: [
                {
                    dimensionValueType: "VARCHAR",
                    name: "az",
                },
                {
                    dimensionValueType: "VARCHAR",
                    name: "region",
                },
                {
                    dimensionValueType: "VARCHAR",
                    name: "hostname",
                },
            ],
            multiMeasureMappings: {
                targetMultiMeasureName: "multi-metrics",
                multiMeasureAttributeMappings: [
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "avg_cpu_utilization",
                    },
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "p90_cpu_utilization",
                    },
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "p95_cpu_utilization",
                    },
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "p99_cpu_utilization",
                    },
                ],
            },
        },
    },
});
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import pulumi
import pulumi_aws as aws
example = aws.timestreamquery.ScheduledQuery("example",
    execution_role_arn=example_aws_iam_role["arn"],
    name=example_aws_timestreamwrite_table["tableName"],
    query_string="""SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
\x09ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
""",
    error_report_configuration={
        "s3_configuration": {
            "bucket_name": example_aws_s3_bucket["bucket"],
        },
    },
    notification_configuration={
        "sns_configuration": {
            "topic_arn": example_aws_sns_topic["arn"],
        },
    },
    schedule_configuration={
        "schedule_expression": "rate(1 hour)",
    },
    target_configuration={
        "timestream_configuration": {
            "database_name": results["databaseName"],
            "table_name": results_aws_timestreamwrite_table["tableName"],
            "time_column": "binned_timestamp",
            "dimension_mappings": [
                {
                    "dimension_value_type": "VARCHAR",
                    "name": "az",
                },
                {
                    "dimension_value_type": "VARCHAR",
                    "name": "region",
                },
                {
                    "dimension_value_type": "VARCHAR",
                    "name": "hostname",
                },
            ],
            "multi_measure_mappings": {
                "target_multi_measure_name": "multi-metrics",
                "multi_measure_attribute_mappings": [
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "avg_cpu_utilization",
                    },
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "p90_cpu_utilization",
                    },
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "p95_cpu_utilization",
                    },
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "p99_cpu_utilization",
                    },
                ],
            },
        },
    })
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
    var example = new Aws.TimestreamQuery.ScheduledQuery("example", new()
    {
        ExecutionRoleArn = exampleAwsIamRole.Arn,
        Name = exampleAwsTimestreamwriteTable.TableName,
        QueryString = @"SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
",
        ErrorReportConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryErrorReportConfigurationArgs
        {
            S3Configuration = new Aws.TimestreamQuery.Inputs.ScheduledQueryErrorReportConfigurationS3ConfigurationArgs
            {
                BucketName = exampleAwsS3Bucket.Bucket,
            },
        },
        NotificationConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryNotificationConfigurationArgs
        {
            SnsConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryNotificationConfigurationSnsConfigurationArgs
            {
                TopicArn = exampleAwsSnsTopic.Arn,
            },
        },
        ScheduleConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryScheduleConfigurationArgs
        {
            ScheduleExpression = "rate(1 hour)",
        },
        TargetConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationArgs
        {
            TimestreamConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationArgs
            {
                DatabaseName = results.DatabaseName,
                TableName = resultsAwsTimestreamwriteTable.TableName,
                TimeColumn = "binned_timestamp",
                DimensionMappings = new[]
                {
                    new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs
                    {
                        DimensionValueType = "VARCHAR",
                        Name = "az",
                    },
                    new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs
                    {
                        DimensionValueType = "VARCHAR",
                        Name = "region",
                    },
                    new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs
                    {
                        DimensionValueType = "VARCHAR",
                        Name = "hostname",
                    },
                },
                MultiMeasureMappings = new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs
                {
                    TargetMultiMeasureName = "multi-metrics",
                    MultiMeasureAttributeMappings = new[]
                    {
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "avg_cpu_utilization",
                        },
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "p90_cpu_utilization",
                        },
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "p95_cpu_utilization",
                        },
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "p99_cpu_utilization",
                        },
                    },
                },
            },
        },
    });
});
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package main
import (
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/timestreamquery"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := timestreamquery.NewScheduledQuery(ctx, "example", &timestreamquery.ScheduledQueryArgs{
			ExecutionRoleArn: pulumi.Any(exampleAwsIamRole.Arn),
			Name:             pulumi.Any(exampleAwsTimestreamwriteTable.TableName),
			QueryString: pulumi.String(`SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
`),
			ErrorReportConfiguration: &timestreamquery.ScheduledQueryErrorReportConfigurationArgs{
				S3Configuration: &timestreamquery.ScheduledQueryErrorReportConfigurationS3ConfigurationArgs{
					BucketName: pulumi.Any(exampleAwsS3Bucket.Bucket),
				},
			},
			NotificationConfiguration: &timestreamquery.ScheduledQueryNotificationConfigurationArgs{
				SnsConfiguration: &timestreamquery.ScheduledQueryNotificationConfigurationSnsConfigurationArgs{
					TopicArn: pulumi.Any(exampleAwsSnsTopic.Arn),
				},
			},
			ScheduleConfiguration: &timestreamquery.ScheduledQueryScheduleConfigurationArgs{
				ScheduleExpression: pulumi.String("rate(1 hour)"),
			},
			TargetConfiguration: &timestreamquery.ScheduledQueryTargetConfigurationArgs{
				TimestreamConfiguration: &timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationArgs{
					DatabaseName: pulumi.Any(results.DatabaseName),
					TableName:    pulumi.Any(resultsAwsTimestreamwriteTable.TableName),
					TimeColumn:   pulumi.String("binned_timestamp"),
					DimensionMappings: timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArray{
						&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs{
							DimensionValueType: pulumi.String("VARCHAR"),
							Name:               pulumi.String("az"),
						},
						&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs{
							DimensionValueType: pulumi.String("VARCHAR"),
							Name:               pulumi.String("region"),
						},
						&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs{
							DimensionValueType: pulumi.String("VARCHAR"),
							Name:               pulumi.String("hostname"),
						},
					},
					MultiMeasureMappings: &timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs{
						TargetMultiMeasureName: pulumi.String("multi-metrics"),
						MultiMeasureAttributeMappings: timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArray{
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("avg_cpu_utilization"),
							},
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("p90_cpu_utilization"),
							},
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("p95_cpu_utilization"),
							},
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("p99_cpu_utilization"),
							},
						},
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.timestreamquery.ScheduledQuery;
import com.pulumi.aws.timestreamquery.ScheduledQueryArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryErrorReportConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryErrorReportConfigurationS3ConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryNotificationConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryNotificationConfigurationSnsConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryScheduleConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryTargetConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs;
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 ScheduledQuery("example", ScheduledQueryArgs.builder()
            .executionRoleArn(exampleAwsIamRole.arn())
            .name(exampleAwsTimestreamwriteTable.tableName())
            .queryString("""
SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
            """)
            .errorReportConfiguration(ScheduledQueryErrorReportConfigurationArgs.builder()
                .s3Configuration(ScheduledQueryErrorReportConfigurationS3ConfigurationArgs.builder()
                    .bucketName(exampleAwsS3Bucket.bucket())
                    .build())
                .build())
            .notificationConfiguration(ScheduledQueryNotificationConfigurationArgs.builder()
                .snsConfiguration(ScheduledQueryNotificationConfigurationSnsConfigurationArgs.builder()
                    .topicArn(exampleAwsSnsTopic.arn())
                    .build())
                .build())
            .scheduleConfiguration(ScheduledQueryScheduleConfigurationArgs.builder()
                .scheduleExpression("rate(1 hour)")
                .build())
            .targetConfiguration(ScheduledQueryTargetConfigurationArgs.builder()
                .timestreamConfiguration(ScheduledQueryTargetConfigurationTimestreamConfigurationArgs.builder()
                    .databaseName(results.databaseName())
                    .tableName(resultsAwsTimestreamwriteTable.tableName())
                    .timeColumn("binned_timestamp")
                    .dimensionMappings(
                        ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs.builder()
                            .dimensionValueType("VARCHAR")
                            .name("az")
                            .build(),
                        ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs.builder()
                            .dimensionValueType("VARCHAR")
                            .name("region")
                            .build(),
                        ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs.builder()
                            .dimensionValueType("VARCHAR")
                            .name("hostname")
                            .build())
                    .multiMeasureMappings(ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs.builder()
                        .targetMultiMeasureName("multi-metrics")
                        .multiMeasureAttributeMappings(
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("avg_cpu_utilization")
                                .build(),
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("p90_cpu_utilization")
                                .build(),
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("p95_cpu_utilization")
                                .build(),
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("p99_cpu_utilization")
                                .build())
                        .build())
                    .build())
                .build())
            .build());
    }
}
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resources:
  example:
    type: aws:timestreamquery:ScheduledQuery
    properties:
      executionRoleArn: ${exampleAwsIamRole.arn}
      name: ${exampleAwsTimestreamwriteTable.tableName}
      queryString: |
        SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
        	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
        	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
        	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
        	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
        FROM exampledatabase.exampletable
        WHERE measure_name = 'metrics' AND time ago(2h)
        GROUP BY region, hostname, az, BIN(time, 15s)
        ORDER BY binned_timestamp ASC
        LIMIT 5
      errorReportConfiguration:
        s3Configuration:
          bucketName: ${exampleAwsS3Bucket.bucket}
      notificationConfiguration:
        snsConfiguration:
          topicArn: ${exampleAwsSnsTopic.arn}
      scheduleConfiguration:
        scheduleExpression: rate(1 hour)
      targetConfiguration:
        timestreamConfiguration:
          databaseName: ${results.databaseName}
          tableName: ${resultsAwsTimestreamwriteTable.tableName}
          timeColumn: binned_timestamp
          dimensionMappings:
            - dimensionValueType: VARCHAR
              name: az
            - dimensionValueType: VARCHAR
              name: region
            - dimensionValueType: VARCHAR
              name: hostname
          multiMeasureMappings:
            targetMultiMeasureName: multi-metrics
            multiMeasureAttributeMappings:
              - measureValueType: DOUBLE
                sourceColumn: avg_cpu_utilization
              - measureValueType: DOUBLE
                sourceColumn: p90_cpu_utilization
              - measureValueType: DOUBLE
                sourceColumn: p95_cpu_utilization
              - measureValueType: DOUBLE
                sourceColumn: p99_cpu_utilization
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Multi-step Example

To ingest data before creating a scheduled query, this example provides multiple steps:

  1. Create the prerequisite infrastructure

  2. Ingest data

  3. Create the scheduled query

Step 1. Create the prerequisite infrastructure

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const test = new aws.s3.BucketV2("test", {
    bucket: "example",
    forceDestroy: true,
});
const testTopic = new aws.sns.Topic("test", {name: "example"});
const testQueue = new aws.sqs.Queue("test", {
    name: "example",
    sqsManagedSseEnabled: true,
});
const testTopicSubscription = new aws.sns.TopicSubscription("test", {
    topic: testTopic.arn,
    protocol: "sqs",
    endpoint: testQueue.arn,
});
const testQueuePolicy = new aws.sqs.QueuePolicy("test", {
    queueUrl: testQueue.id,
    policy: pulumi.jsonStringify({
        Version: "2012-10-17",
        Statement: [{
            Effect: "Allow",
            Principal: {
                AWS: "*",
            },
            Action: ["sqs:SendMessage"],
            Resource: testQueue.arn,
            Condition: {
                ArnEquals: {
                    "aws:SourceArn": testTopic.arn,
                },
            },
        }],
    }),
});
const testRole = new aws.iam.Role("test", {
    name: "example",
    assumeRolePolicy: JSON.stringify({
        Version: "2012-10-17",
        Statement: [{
            Effect: "Allow",
            Principal: {
                Service: "timestream.amazonaws.com",
            },
            Action: "sts:AssumeRole",
        }],
    }),
    tags: {
        Name: "example",
    },
});
const testRolePolicy = new aws.iam.RolePolicy("test", {
    name: "example",
    role: testRole.id,
    policy: JSON.stringify({
        Version: "2012-10-17",
        Statement: [{
            Action: [
                "kms:Decrypt",
                "sns:Publish",
                "timestream:describeEndpoints",
                "timestream:Select",
                "timestream:SelectValues",
                "timestream:WriteRecords",
                "s3:PutObject",
            ],
            Resource: "*",
            Effect: "Allow",
        }],
    }),
});
const testDatabase = new aws.timestreamwrite.Database("test", {databaseName: "exampledatabase"});
const testTable = new aws.timestreamwrite.Table("test", {
    databaseName: testDatabase.databaseName,
    tableName: "exampletable",
    magneticStoreWriteProperties: {
        enableMagneticStoreWrites: true,
    },
    retentionProperties: {
        magneticStoreRetentionPeriodInDays: 1,
        memoryStoreRetentionPeriodInHours: 1,
    },
});
const results = new aws.timestreamwrite.Database("results", {databaseName: "exampledatabase-results"});
const resultsTable = new aws.timestreamwrite.Table("results", {
    databaseName: results.databaseName,
    tableName: "exampletable-results",
    magneticStoreWriteProperties: {
        enableMagneticStoreWrites: true,
    },
    retentionProperties: {
        magneticStoreRetentionPeriodInDays: 1,
        memoryStoreRetentionPeriodInHours: 1,
    },
});
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import pulumi
import json
import pulumi_aws as aws
test = aws.s3.BucketV2("test",
    bucket="example",
    force_destroy=True)
test_topic = aws.sns.Topic("test", name="example")
test_queue = aws.sqs.Queue("test",
    name="example",
    sqs_managed_sse_enabled=True)
test_topic_subscription = aws.sns.TopicSubscription("test",
    topic=test_topic.arn,
    protocol="sqs",
    endpoint=test_queue.arn)
test_queue_policy = aws.sqs.QueuePolicy("test",
    queue_url=test_queue.id,
    policy=pulumi.Output.json_dumps({
        "Version": "2012-10-17",
        "Statement": [{
            "Effect": "Allow",
            "Principal": {
                "AWS": "*",
            },
            "Action": ["sqs:SendMessage"],
            "Resource": test_queue.arn,
            "Condition": {
                "ArnEquals": {
                    "aws:SourceArn": test_topic.arn,
                },
            },
        }],
    }))
test_role = aws.iam.Role("test",
    name="example",
    assume_role_policy=json.dumps({
        "Version": "2012-10-17",
        "Statement": [{
            "Effect": "Allow",
            "Principal": {
                "Service": "timestream.amazonaws.com",
            },
            "Action": "sts:AssumeRole",
        }],
    }),
    tags={
        "Name": "example",
    })
test_role_policy = aws.iam.RolePolicy("test",
    name="example",
    role=test_role.id,
    policy=json.dumps({
        "Version": "2012-10-17",
        "Statement": [{
            "Action": [
                "kms:Decrypt",
                "sns:Publish",
                "timestream:describeEndpoints",
                "timestream:Select",
                "timestream:SelectValues",
                "timestream:WriteRecords",
                "s3:PutObject",
            ],
            "Resource": "*",
            "Effect": "Allow",
        }],
    }))
test_database = aws.timestreamwrite.Database("test", database_name="exampledatabase")
test_table = aws.timestreamwrite.Table("test",
    database_name=test_database.database_name,
    table_name="exampletable",
    magnetic_store_write_properties={
        "enable_magnetic_store_writes": True,
    },
    retention_properties={
        "magnetic_store_retention_period_in_days": 1,
        "memory_store_retention_period_in_hours": 1,
    })
results = aws.timestreamwrite.Database("results", database_name="exampledatabase-results")
results_table = aws.timestreamwrite.Table("results",
    database_name=results.database_name,
    table_name="exampletable-results",
    magnetic_store_write_properties={
        "enable_magnetic_store_writes": True,
    },
    retention_properties={
        "magnetic_store_retention_period_in_days": 1,
        "memory_store_retention_period_in_hours": 1,
    })
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using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
    var test = new Aws.S3.BucketV2("test", new()
    {
        Bucket = "example",
        ForceDestroy = true,
    });
    var testTopic = new Aws.Sns.Topic("test", new()
    {
        Name = "example",
    });
    var testQueue = new Aws.Sqs.Queue("test", new()
    {
        Name = "example",
        SqsManagedSseEnabled = true,
    });
    var testTopicSubscription = new Aws.Sns.TopicSubscription("test", new()
    {
        Topic = testTopic.Arn,
        Protocol = "sqs",
        Endpoint = testQueue.Arn,
    });
    var testQueuePolicy = new Aws.Sqs.QueuePolicy("test", new()
    {
        QueueUrl = testQueue.Id,
        Policy = Output.JsonSerialize(Output.Create(new Dictionary<string, object?>
        {
            ["Version"] = "2012-10-17",
            ["Statement"] = new[]
            {
                new Dictionary<string, object?>
                {
                    ["Effect"] = "Allow",
                    ["Principal"] = new Dictionary<string, object?>
                    {
                        ["AWS"] = "*",
                    },
                    ["Action"] = new[]
                    {
                        "sqs:SendMessage",
                    },
                    ["Resource"] = testQueue.Arn,
                    ["Condition"] = new Dictionary<string, object?>
                    {
                        ["ArnEquals"] = new Dictionary<string, object?>
                        {
                            ["aws:SourceArn"] = testTopic.Arn,
                        },
                    },
                },
            },
        })),
    });
    var testRole = new Aws.Iam.Role("test", new()
    {
        Name = "example",
        AssumeRolePolicy = JsonSerializer.Serialize(new Dictionary<string, object?>
        {
            ["Version"] = "2012-10-17",
            ["Statement"] = new[]
            {
                new Dictionary<string, object?>
                {
                    ["Effect"] = "Allow",
                    ["Principal"] = new Dictionary<string, object?>
                    {
                        ["Service"] = "timestream.amazonaws.com",
                    },
                    ["Action"] = "sts:AssumeRole",
                },
            },
        }),
        Tags =
        {
            { "Name", "example" },
        },
    });
    var testRolePolicy = new Aws.Iam.RolePolicy("test", new()
    {
        Name = "example",
        Role = testRole.Id,
        Policy = JsonSerializer.Serialize(new Dictionary<string, object?>
        {
            ["Version"] = "2012-10-17",
            ["Statement"] = new[]
            {
                new Dictionary<string, object?>
                {
                    ["Action"] = new[]
                    {
                        "kms:Decrypt",
                        "sns:Publish",
                        "timestream:describeEndpoints",
                        "timestream:Select",
                        "timestream:SelectValues",
                        "timestream:WriteRecords",
                        "s3:PutObject",
                    },
                    ["Resource"] = "*",
                    ["Effect"] = "Allow",
                },
            },
        }),
    });
    var testDatabase = new Aws.TimestreamWrite.Database("test", new()
    {
        DatabaseName = "exampledatabase",
    });
    var testTable = new Aws.TimestreamWrite.Table("test", new()
    {
        DatabaseName = testDatabase.DatabaseName,
        TableName = "exampletable",
        MagneticStoreWriteProperties = new Aws.TimestreamWrite.Inputs.TableMagneticStoreWritePropertiesArgs
        {
            EnableMagneticStoreWrites = true,
        },
        RetentionProperties = new Aws.TimestreamWrite.Inputs.TableRetentionPropertiesArgs
        {
            MagneticStoreRetentionPeriodInDays = 1,
            MemoryStoreRetentionPeriodInHours = 1,
        },
    });
    var results = new Aws.TimestreamWrite.Database("results", new()
    {
        DatabaseName = "exampledatabase-results",
    });
    var resultsTable = new Aws.TimestreamWrite.Table("results", new()
    {
        DatabaseName = results.DatabaseName,
        TableName = "exampletable-results",
        MagneticStoreWriteProperties = new Aws.TimestreamWrite.Inputs.TableMagneticStoreWritePropertiesArgs
        {
            EnableMagneticStoreWrites = true,
        },
        RetentionProperties = new Aws.TimestreamWrite.Inputs.TableRetentionPropertiesArgs
        {
            MagneticStoreRetentionPeriodInDays = 1,
            MemoryStoreRetentionPeriodInHours = 1,
        },
    });
});
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package main
import (
	"encoding/json"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/iam"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/s3"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/sns"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/sqs"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/timestreamwrite"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := s3.NewBucketV2(ctx, "test", &s3.BucketV2Args{
			Bucket:       pulumi.String("example"),
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		testTopic, err := sns.NewTopic(ctx, "test", &sns.TopicArgs{
			Name: pulumi.String("example"),
		})
		if err != nil {
			return err
		}
		testQueue, err := sqs.NewQueue(ctx, "test", &sqs.QueueArgs{
			Name:                 pulumi.String("example"),
			SqsManagedSseEnabled: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = sns.NewTopicSubscription(ctx, "test", &sns.TopicSubscriptionArgs{
			Topic:    testTopic.Arn,
			Protocol: pulumi.String("sqs"),
			Endpoint: testQueue.Arn,
		})
		if err != nil {
			return err
		}
		_, err = sqs.NewQueuePolicy(ctx, "test", &sqs.QueuePolicyArgs{
			QueueUrl: testQueue.ID(),
			Policy: pulumi.All(testQueue.Arn, testTopic.Arn).ApplyT(func(_args []interface{}) (string, error) {
				testQueueArn := _args[0].(string)
				testTopicArn := _args[1].(string)
				var _zero string
				tmpJSON0, err := json.Marshal(map[string]interface{}{
					"Version": "2012-10-17",
					"Statement": []map[string]interface{}{
						map[string]interface{}{
							"Effect": "Allow",
							"Principal": map[string]interface{}{
								"AWS": "*",
							},
							"Action": []string{
								"sqs:SendMessage",
							},
							"Resource": testQueueArn,
							"Condition": map[string]interface{}{
								"ArnEquals": map[string]interface{}{
									"aws:SourceArn": testTopicArn,
								},
							},
						},
					},
				})
				if err != nil {
					return _zero, err
				}
				json0 := string(tmpJSON0)
				return json0, nil
			}).(pulumi.StringOutput),
		})
		if err != nil {
			return err
		}
		tmpJSON1, err := json.Marshal(map[string]interface{}{
			"Version": "2012-10-17",
			"Statement": []map[string]interface{}{
				map[string]interface{}{
					"Effect": "Allow",
					"Principal": map[string]interface{}{
						"Service": "timestream.amazonaws.com",
					},
					"Action": "sts:AssumeRole",
				},
			},
		})
		if err != nil {
			return err
		}
		json1 := string(tmpJSON1)
		testRole, err := iam.NewRole(ctx, "test", &iam.RoleArgs{
			Name:             pulumi.String("example"),
			AssumeRolePolicy: pulumi.String(json1),
			Tags: pulumi.StringMap{
				"Name": pulumi.String("example"),
			},
		})
		if err != nil {
			return err
		}
		tmpJSON2, err := json.Marshal(map[string]interface{}{
			"Version": "2012-10-17",
			"Statement": []map[string]interface{}{
				map[string]interface{}{
					"Action": []string{
						"kms:Decrypt",
						"sns:Publish",
						"timestream:describeEndpoints",
						"timestream:Select",
						"timestream:SelectValues",
						"timestream:WriteRecords",
						"s3:PutObject",
					},
					"Resource": "*",
					"Effect":   "Allow",
				},
			},
		})
		if err != nil {
			return err
		}
		json2 := string(tmpJSON2)
		_, err = iam.NewRolePolicy(ctx, "test", &iam.RolePolicyArgs{
			Name:   pulumi.String("example"),
			Role:   testRole.ID(),
			Policy: pulumi.String(json2),
		})
		if err != nil {
			return err
		}
		testDatabase, err := timestreamwrite.NewDatabase(ctx, "test", &timestreamwrite.DatabaseArgs{
			DatabaseName: pulumi.String("exampledatabase"),
		})
		if err != nil {
			return err
		}
		_, err = timestreamwrite.NewTable(ctx, "test", &timestreamwrite.TableArgs{
			DatabaseName: testDatabase.DatabaseName,
			TableName:    pulumi.String("exampletable"),
			MagneticStoreWriteProperties: &timestreamwrite.TableMagneticStoreWritePropertiesArgs{
				EnableMagneticStoreWrites: pulumi.Bool(true),
			},
			RetentionProperties: &timestreamwrite.TableRetentionPropertiesArgs{
				MagneticStoreRetentionPeriodInDays: pulumi.Int(1),
				MemoryStoreRetentionPeriodInHours:  pulumi.Int(1),
			},
		})
		if err != nil {
			return err
		}
		results, err := timestreamwrite.NewDatabase(ctx, "results", &timestreamwrite.DatabaseArgs{
			DatabaseName: pulumi.String("exampledatabase-results"),
		})
		if err != nil {
			return err
		}
		_, err = timestreamwrite.NewTable(ctx, "results", &timestreamwrite.TableArgs{
			DatabaseName: results.DatabaseName,
			TableName:    pulumi.String("exampletable-results"),
			MagneticStoreWriteProperties: &timestreamwrite.TableMagneticStoreWritePropertiesArgs{
				EnableMagneticStoreWrites: pulumi.Bool(true),
			},
			RetentionProperties: &timestreamwrite.TableRetentionPropertiesArgs{
				MagneticStoreRetentionPeriodInDays: pulumi.Int(1),
				MemoryStoreRetentionPeriodInHours:  pulumi.Int(1),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.s3.BucketV2;
import com.pulumi.aws.s3.BucketV2Args;
import com.pulumi.aws.sns.Topic;
import com.pulumi.aws.sns.TopicArgs;
import com.pulumi.aws.sqs.Queue;
import com.pulumi.aws.sqs.QueueArgs;
import com.pulumi.aws.sns.TopicSubscription;
import com.pulumi.aws.sns.TopicSubscriptionArgs;
import com.pulumi.aws.sqs.QueuePolicy;
import com.pulumi.aws.sqs.QueuePolicyArgs;
import com.pulumi.aws.iam.Role;
import com.pulumi.aws.iam.RoleArgs;
import com.pulumi.aws.iam.RolePolicy;
import com.pulumi.aws.iam.RolePolicyArgs;
import com.pulumi.aws.timestreamwrite.Database;
import com.pulumi.aws.timestreamwrite.DatabaseArgs;
import com.pulumi.aws.timestreamwrite.Table;
import com.pulumi.aws.timestreamwrite.TableArgs;
import com.pulumi.aws.timestreamwrite.inputs.TableMagneticStoreWritePropertiesArgs;
import com.pulumi.aws.timestreamwrite.inputs.TableRetentionPropertiesArgs;
import static com.pulumi.codegen.internal.Serialization.*;
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 test = new BucketV2("test", BucketV2Args.builder()
            .bucket("example")
            .forceDestroy(true)
            .build());
        var testTopic = new Topic("testTopic", TopicArgs.builder()
            .name("example")
            .build());
        var testQueue = new Queue("testQueue", QueueArgs.builder()
            .name("example")
            .sqsManagedSseEnabled(true)
            .build());
        var testTopicSubscription = new TopicSubscription("testTopicSubscription", TopicSubscriptionArgs.builder()
            .topic(testTopic.arn())
            .protocol("sqs")
            .endpoint(testQueue.arn())
            .build());
        var testQueuePolicy = new QueuePolicy("testQueuePolicy", QueuePolicyArgs.builder()
            .queueUrl(testQueue.id())
            .policy(Output.tuple(testQueue.arn(), testTopic.arn()).applyValue(values -> {
                var testQueueArn = values.t1;
                var testTopicArn = values.t2;
                return serializeJson(
                    jsonObject(
                        jsonProperty("Version", "2012-10-17"),
                        jsonProperty("Statement", jsonArray(jsonObject(
                            jsonProperty("Effect", "Allow"),
                            jsonProperty("Principal", jsonObject(
                                jsonProperty("AWS", "*")
                            )),
                            jsonProperty("Action", jsonArray("sqs:SendMessage")),
                            jsonProperty("Resource", testQueueArn),
                            jsonProperty("Condition", jsonObject(
                                jsonProperty("ArnEquals", jsonObject(
                                    jsonProperty("aws:SourceArn", testTopicArn)
                                ))
                            ))
                        )))
                    ));
            }))
            .build());
        var testRole = new Role("testRole", RoleArgs.builder()
            .name("example")
            .assumeRolePolicy(serializeJson(
                jsonObject(
                    jsonProperty("Version", "2012-10-17"),
                    jsonProperty("Statement", jsonArray(jsonObject(
                        jsonProperty("Effect", "Allow"),
                        jsonProperty("Principal", jsonObject(
                            jsonProperty("Service", "timestream.amazonaws.com")
                        )),
                        jsonProperty("Action", "sts:AssumeRole")
                    )))
                )))
            .tags(Map.of("Name", "example"))
            .build());
        var testRolePolicy = new RolePolicy("testRolePolicy", RolePolicyArgs.builder()
            .name("example")
            .role(testRole.id())
            .policy(serializeJson(
                jsonObject(
                    jsonProperty("Version", "2012-10-17"),
                    jsonProperty("Statement", jsonArray(jsonObject(
                        jsonProperty("Action", jsonArray(
                            "kms:Decrypt",
                            "sns:Publish",
                            "timestream:describeEndpoints",
                            "timestream:Select",
                            "timestream:SelectValues",
                            "timestream:WriteRecords",
                            "s3:PutObject"
                        )),
                        jsonProperty("Resource", "*"),
                        jsonProperty("Effect", "Allow")
                    )))
                )))
            .build());
        var testDatabase = new Database("testDatabase", DatabaseArgs.builder()
            .databaseName("exampledatabase")
            .build());
        var testTable = new Table("testTable", TableArgs.builder()
            .databaseName(testDatabase.databaseName())
            .tableName("exampletable")
            .magneticStoreWriteProperties(TableMagneticStoreWritePropertiesArgs.builder()
                .enableMagneticStoreWrites(true)
                .build())
            .retentionProperties(TableRetentionPropertiesArgs.builder()
                .magneticStoreRetentionPeriodInDays(1)
                .memoryStoreRetentionPeriodInHours(1)
                .build())
            .build());
        var results = new Database("results", DatabaseArgs.builder()
            .databaseName("exampledatabase-results")
            .build());
        var resultsTable = new Table("resultsTable", TableArgs.builder()
            .databaseName(results.databaseName())
            .tableName("exampletable-results")
            .magneticStoreWriteProperties(TableMagneticStoreWritePropertiesArgs.builder()
                .enableMagneticStoreWrites(true)
                .build())
            .retentionProperties(TableRetentionPropertiesArgs.builder()
                .magneticStoreRetentionPeriodInDays(1)
                .memoryStoreRetentionPeriodInHours(1)
                .build())
            .build());
    }
}
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resources:
  test:
    type: aws:s3:BucketV2
    properties:
      bucket: example
      forceDestroy: true
  testTopic:
    type: aws:sns:Topic
    name: test
    properties:
      name: example
  testQueue:
    type: aws:sqs:Queue
    name: test
    properties:
      name: example
      sqsManagedSseEnabled: true
  testTopicSubscription:
    type: aws:sns:TopicSubscription
    name: test
    properties:
      topic: ${testTopic.arn}
      protocol: sqs
      endpoint: ${testQueue.arn}
  testQueuePolicy:
    type: aws:sqs:QueuePolicy
    name: test
    properties:
      queueUrl: ${testQueue.id}
      policy:
        fn::toJSON:
          Version: 2012-10-17
          Statement:
            - Effect: Allow
              Principal:
                AWS: '*'
              Action:
                - sqs:SendMessage
              Resource: ${testQueue.arn}
              Condition:
                ArnEquals:
                  aws:SourceArn: ${testTopic.arn}
  testRole:
    type: aws:iam:Role
    name: test
    properties:
      name: example
      assumeRolePolicy:
        fn::toJSON:
          Version: 2012-10-17
          Statement:
            - Effect: Allow
              Principal:
                Service: timestream.amazonaws.com
              Action: sts:AssumeRole
      tags:
        Name: example
  testRolePolicy:
    type: aws:iam:RolePolicy
    name: test
    properties:
      name: example
      role: ${testRole.id}
      policy:
        fn::toJSON:
          Version: 2012-10-17
          Statement:
            - Action:
                - kms:Decrypt
                - sns:Publish
                - timestream:describeEndpoints
                - timestream:Select
                - timestream:SelectValues
                - timestream:WriteRecords
                - s3:PutObject
              Resource: '*'
              Effect: Allow
  testDatabase:
    type: aws:timestreamwrite:Database
    name: test
    properties:
      databaseName: exampledatabase
  testTable:
    type: aws:timestreamwrite:Table
    name: test
    properties:
      databaseName: ${testDatabase.databaseName}
      tableName: exampletable
      magneticStoreWriteProperties:
        enableMagneticStoreWrites: true
      retentionProperties:
        magneticStoreRetentionPeriodInDays: 1
        memoryStoreRetentionPeriodInHours: 1
  results:
    type: aws:timestreamwrite:Database
    properties:
      databaseName: exampledatabase-results
  resultsTable:
    type: aws:timestreamwrite:Table
    name: results
    properties:
      databaseName: ${results.databaseName}
      tableName: exampletable-results
      magneticStoreWriteProperties:
        enableMagneticStoreWrites: true
      retentionProperties:
        magneticStoreRetentionPeriodInDays: 1
        memoryStoreRetentionPeriodInHours: 1
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Step 2. Ingest data

This is done with Amazon Timestream Write WriteRecords.

Step 3. Create the scheduled query

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const example = new aws.timestreamquery.ScheduledQuery("example", {
    executionRoleArn: exampleAwsIamRole.arn,
    name: exampleAwsTimestreamwriteTable.tableName,
    queryString: `SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
\x09ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
`,
    errorReportConfiguration: {
        s3Configuration: {
            bucketName: exampleAwsS3Bucket.bucket,
        },
    },
    notificationConfiguration: {
        snsConfiguration: {
            topicArn: exampleAwsSnsTopic.arn,
        },
    },
    scheduleConfiguration: {
        scheduleExpression: "rate(1 hour)",
    },
    targetConfiguration: {
        timestreamConfiguration: {
            databaseName: results.databaseName,
            tableName: resultsAwsTimestreamwriteTable.tableName,
            timeColumn: "binned_timestamp",
            dimensionMappings: [
                {
                    dimensionValueType: "VARCHAR",
                    name: "az",
                },
                {
                    dimensionValueType: "VARCHAR",
                    name: "region",
                },
                {
                    dimensionValueType: "VARCHAR",
                    name: "hostname",
                },
            ],
            multiMeasureMappings: {
                targetMultiMeasureName: "multi-metrics",
                multiMeasureAttributeMappings: [
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "avg_cpu_utilization",
                    },
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "p90_cpu_utilization",
                    },
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "p95_cpu_utilization",
                    },
                    {
                        measureValueType: "DOUBLE",
                        sourceColumn: "p99_cpu_utilization",
                    },
                ],
            },
        },
    },
});
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import pulumi
import pulumi_aws as aws
example = aws.timestreamquery.ScheduledQuery("example",
    execution_role_arn=example_aws_iam_role["arn"],
    name=example_aws_timestreamwrite_table["tableName"],
    query_string="""SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
\x09ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
\x09ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
""",
    error_report_configuration={
        "s3_configuration": {
            "bucket_name": example_aws_s3_bucket["bucket"],
        },
    },
    notification_configuration={
        "sns_configuration": {
            "topic_arn": example_aws_sns_topic["arn"],
        },
    },
    schedule_configuration={
        "schedule_expression": "rate(1 hour)",
    },
    target_configuration={
        "timestream_configuration": {
            "database_name": results["databaseName"],
            "table_name": results_aws_timestreamwrite_table["tableName"],
            "time_column": "binned_timestamp",
            "dimension_mappings": [
                {
                    "dimension_value_type": "VARCHAR",
                    "name": "az",
                },
                {
                    "dimension_value_type": "VARCHAR",
                    "name": "region",
                },
                {
                    "dimension_value_type": "VARCHAR",
                    "name": "hostname",
                },
            ],
            "multi_measure_mappings": {
                "target_multi_measure_name": "multi-metrics",
                "multi_measure_attribute_mappings": [
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "avg_cpu_utilization",
                    },
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "p90_cpu_utilization",
                    },
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "p95_cpu_utilization",
                    },
                    {
                        "measure_value_type": "DOUBLE",
                        "source_column": "p99_cpu_utilization",
                    },
                ],
            },
        },
    })
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
    var example = new Aws.TimestreamQuery.ScheduledQuery("example", new()
    {
        ExecutionRoleArn = exampleAwsIamRole.Arn,
        Name = exampleAwsTimestreamwriteTable.TableName,
        QueryString = @"SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
",
        ErrorReportConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryErrorReportConfigurationArgs
        {
            S3Configuration = new Aws.TimestreamQuery.Inputs.ScheduledQueryErrorReportConfigurationS3ConfigurationArgs
            {
                BucketName = exampleAwsS3Bucket.Bucket,
            },
        },
        NotificationConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryNotificationConfigurationArgs
        {
            SnsConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryNotificationConfigurationSnsConfigurationArgs
            {
                TopicArn = exampleAwsSnsTopic.Arn,
            },
        },
        ScheduleConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryScheduleConfigurationArgs
        {
            ScheduleExpression = "rate(1 hour)",
        },
        TargetConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationArgs
        {
            TimestreamConfiguration = new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationArgs
            {
                DatabaseName = results.DatabaseName,
                TableName = resultsAwsTimestreamwriteTable.TableName,
                TimeColumn = "binned_timestamp",
                DimensionMappings = new[]
                {
                    new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs
                    {
                        DimensionValueType = "VARCHAR",
                        Name = "az",
                    },
                    new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs
                    {
                        DimensionValueType = "VARCHAR",
                        Name = "region",
                    },
                    new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs
                    {
                        DimensionValueType = "VARCHAR",
                        Name = "hostname",
                    },
                },
                MultiMeasureMappings = new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs
                {
                    TargetMultiMeasureName = "multi-metrics",
                    MultiMeasureAttributeMappings = new[]
                    {
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "avg_cpu_utilization",
                        },
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "p90_cpu_utilization",
                        },
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "p95_cpu_utilization",
                        },
                        new Aws.TimestreamQuery.Inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs
                        {
                            MeasureValueType = "DOUBLE",
                            SourceColumn = "p99_cpu_utilization",
                        },
                    },
                },
            },
        },
    });
});
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package main
import (
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/timestreamquery"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := timestreamquery.NewScheduledQuery(ctx, "example", &timestreamquery.ScheduledQueryArgs{
			ExecutionRoleArn: pulumi.Any(exampleAwsIamRole.Arn),
			Name:             pulumi.Any(exampleAwsTimestreamwriteTable.TableName),
			QueryString: pulumi.String(`SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
`),
			ErrorReportConfiguration: &timestreamquery.ScheduledQueryErrorReportConfigurationArgs{
				S3Configuration: &timestreamquery.ScheduledQueryErrorReportConfigurationS3ConfigurationArgs{
					BucketName: pulumi.Any(exampleAwsS3Bucket.Bucket),
				},
			},
			NotificationConfiguration: &timestreamquery.ScheduledQueryNotificationConfigurationArgs{
				SnsConfiguration: &timestreamquery.ScheduledQueryNotificationConfigurationSnsConfigurationArgs{
					TopicArn: pulumi.Any(exampleAwsSnsTopic.Arn),
				},
			},
			ScheduleConfiguration: &timestreamquery.ScheduledQueryScheduleConfigurationArgs{
				ScheduleExpression: pulumi.String("rate(1 hour)"),
			},
			TargetConfiguration: &timestreamquery.ScheduledQueryTargetConfigurationArgs{
				TimestreamConfiguration: &timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationArgs{
					DatabaseName: pulumi.Any(results.DatabaseName),
					TableName:    pulumi.Any(resultsAwsTimestreamwriteTable.TableName),
					TimeColumn:   pulumi.String("binned_timestamp"),
					DimensionMappings: timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArray{
						&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs{
							DimensionValueType: pulumi.String("VARCHAR"),
							Name:               pulumi.String("az"),
						},
						&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs{
							DimensionValueType: pulumi.String("VARCHAR"),
							Name:               pulumi.String("region"),
						},
						&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs{
							DimensionValueType: pulumi.String("VARCHAR"),
							Name:               pulumi.String("hostname"),
						},
					},
					MultiMeasureMappings: &timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs{
						TargetMultiMeasureName: pulumi.String("multi-metrics"),
						MultiMeasureAttributeMappings: timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArray{
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("avg_cpu_utilization"),
							},
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("p90_cpu_utilization"),
							},
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("p95_cpu_utilization"),
							},
							&timestreamquery.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs{
								MeasureValueType: pulumi.String("DOUBLE"),
								SourceColumn:     pulumi.String("p99_cpu_utilization"),
							},
						},
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.timestreamquery.ScheduledQuery;
import com.pulumi.aws.timestreamquery.ScheduledQueryArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryErrorReportConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryErrorReportConfigurationS3ConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryNotificationConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryNotificationConfigurationSnsConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryScheduleConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryTargetConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationArgs;
import com.pulumi.aws.timestreamquery.inputs.ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs;
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 ScheduledQuery("example", ScheduledQueryArgs.builder()
            .executionRoleArn(exampleAwsIamRole.arn())
            .name(exampleAwsTimestreamwriteTable.tableName())
            .queryString("""
SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
FROM exampledatabase.exampletable
WHERE measure_name = 'metrics' AND time ago(2h)
GROUP BY region, hostname, az, BIN(time, 15s)
ORDER BY binned_timestamp ASC
LIMIT 5
            """)
            .errorReportConfiguration(ScheduledQueryErrorReportConfigurationArgs.builder()
                .s3Configuration(ScheduledQueryErrorReportConfigurationS3ConfigurationArgs.builder()
                    .bucketName(exampleAwsS3Bucket.bucket())
                    .build())
                .build())
            .notificationConfiguration(ScheduledQueryNotificationConfigurationArgs.builder()
                .snsConfiguration(ScheduledQueryNotificationConfigurationSnsConfigurationArgs.builder()
                    .topicArn(exampleAwsSnsTopic.arn())
                    .build())
                .build())
            .scheduleConfiguration(ScheduledQueryScheduleConfigurationArgs.builder()
                .scheduleExpression("rate(1 hour)")
                .build())
            .targetConfiguration(ScheduledQueryTargetConfigurationArgs.builder()
                .timestreamConfiguration(ScheduledQueryTargetConfigurationTimestreamConfigurationArgs.builder()
                    .databaseName(results.databaseName())
                    .tableName(resultsAwsTimestreamwriteTable.tableName())
                    .timeColumn("binned_timestamp")
                    .dimensionMappings(
                        ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs.builder()
                            .dimensionValueType("VARCHAR")
                            .name("az")
                            .build(),
                        ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs.builder()
                            .dimensionValueType("VARCHAR")
                            .name("region")
                            .build(),
                        ScheduledQueryTargetConfigurationTimestreamConfigurationDimensionMappingArgs.builder()
                            .dimensionValueType("VARCHAR")
                            .name("hostname")
                            .build())
                    .multiMeasureMappings(ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsArgs.builder()
                        .targetMultiMeasureName("multi-metrics")
                        .multiMeasureAttributeMappings(
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("avg_cpu_utilization")
                                .build(),
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("p90_cpu_utilization")
                                .build(),
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("p95_cpu_utilization")
                                .build(),
                            ScheduledQueryTargetConfigurationTimestreamConfigurationMultiMeasureMappingsMultiMeasureAttributeMappingArgs.builder()
                                .measureValueType("DOUBLE")
                                .sourceColumn("p99_cpu_utilization")
                                .build())
                        .build())
                    .build())
                .build())
            .build());
    }
}
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resources:
  example:
    type: aws:timestreamquery:ScheduledQuery
    properties:
      executionRoleArn: ${exampleAwsIamRole.arn}
      name: ${exampleAwsTimestreamwriteTable.tableName}
      queryString: |
        SELECT region, az, hostname, BIN(time, 15s) AS binned_timestamp,
        	ROUND(AVG(cpu_utilization), 2) AS avg_cpu_utilization,
        	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.9), 2) AS p90_cpu_utilization,
        	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.95), 2) AS p95_cpu_utilization,
        	ROUND(APPROX_PERCENTILE(cpu_utilization, 0.99), 2) AS p99_cpu_utilization
        FROM exampledatabase.exampletable
        WHERE measure_name = 'metrics' AND time ago(2h)
        GROUP BY region, hostname, az, BIN(time, 15s)
        ORDER BY binned_timestamp ASC
        LIMIT 5
      errorReportConfiguration:
        s3Configuration:
          bucketName: ${exampleAwsS3Bucket.bucket}
      notificationConfiguration:
        snsConfiguration:
          topicArn: ${exampleAwsSnsTopic.arn}
      scheduleConfiguration:
        scheduleExpression: rate(1 hour)
      targetConfiguration:
        timestreamConfiguration:
          databaseName: ${results.databaseName}
          tableName: ${resultsAwsTimestreamwriteTable.tableName}
          timeColumn: binned_timestamp
          dimensionMappings:
            - dimensionValueType: VARCHAR
              name: az
            - dimensionValueType: VARCHAR
              name: region
            - dimensionValueType: VARCHAR
              name: hostname
          multiMeasureMappings:
            targetMultiMeasureName: multi-metrics
            multiMeasureAttributeMappings:
              - measureValueType: DOUBLE
                sourceColumn: avg_cpu_utilization
              - measureValueType: DOUBLE
                sourceColumn: p90_cpu_utilization
              - measureValueType: DOUBLE
                sourceColumn: p95_cpu_utilization
              - measureValueType: DOUBLE
                sourceColumn: p99_cpu_utilization
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Import

Using pulumi import, import Timestream Query Scheduled Query using the arn. For example:

$ pulumi import aws:timestreamquery/scheduledQuery:ScheduledQuery example arn:aws:timestream:us-west-2:012345678901:scheduled-query/tf-acc-test-7774188528604787105-e13659544fe66c8d
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Constructors

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constructor(errorReportConfiguration: Output<ScheduledQueryErrorReportConfigurationArgs>? = null, executionRoleArn: Output<String>? = null, kmsKeyId: Output<String>? = null, lastRunSummaries: Output<List<ScheduledQueryLastRunSummaryArgs>>? = null, name: Output<String>? = null, notificationConfiguration: Output<ScheduledQueryNotificationConfigurationArgs>? = null, queryString: Output<String>? = null, recentlyFailedRuns: Output<List<ScheduledQueryRecentlyFailedRunArgs>>? = null, scheduleConfiguration: Output<ScheduledQueryScheduleConfigurationArgs>? = null, tags: Output<Map<String, String>>? = null, targetConfiguration: Output<ScheduledQueryTargetConfigurationArgs>? = null, timeouts: Output<ScheduledQueryTimeoutsArgs>? = null)

Properties

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val errorReportConfiguration: Output<ScheduledQueryErrorReportConfigurationArgs>? = null

Configuration block for error reporting configuration. See below.

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val executionRoleArn: Output<String>? = null

ARN for the IAM role that Timestream will assume when running the scheduled query.

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val kmsKeyId: Output<String>? = null

Amazon KMS key used to encrypt the scheduled query resource, at-rest. If not specified, the scheduled query resource will be encrypted with a Timestream owned Amazon KMS key. To specify a KMS key, use the key ID, key ARN, alias name, or alias ARN. When using an alias name, prefix the name with "alias/". If error_report_configuration uses SSE_KMS as the encryption type, the same kms_key_id is used to encrypt the error report at rest.

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val lastRunSummaries: Output<List<ScheduledQueryLastRunSummaryArgs>>? = null

Runtime summary for the last scheduled query run.

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val name: Output<String>? = null

Name of the scheduled query.

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val notificationConfiguration: Output<ScheduledQueryNotificationConfigurationArgs>? = null

Configuration block for notification configuration for a scheduled query. A notification is sent by Timestream when a scheduled query is created, its state is updated, or when it is deleted. See below.

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val queryString: Output<String>? = null

Query string to run. Parameter names can be specified in the query string using the @ character followed by an identifier. The named parameter @scheduled_runtime is reserved and can be used in the query to get the time at which the query is scheduled to run. The timestamp calculated according to the schedule_configuration parameter, will be the value of @scheduled_runtime paramater for each query run. For example, consider an instance of a scheduled query executing on 2021-12-01 00:00:00. For this instance, the @scheduled_runtime parameter is initialized to the timestamp 2021-12-01 00:00:00 when invoking the query.

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val recentlyFailedRuns: Output<List<ScheduledQueryRecentlyFailedRunArgs>>? = null

Runtime summary for the last five failed scheduled query runs.

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val scheduleConfiguration: Output<ScheduledQueryScheduleConfigurationArgs>? = null

Configuration block for schedule configuration for the query. See below.

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val tags: Output<Map<String, String>>? = null

Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.

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val targetConfiguration: Output<ScheduledQueryTargetConfigurationArgs>? = null

Configuration block for writing the result of a query. See below. The following arguments are optional:

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val timeouts: Output<ScheduledQueryTimeoutsArgs>? = null

Functions

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open override fun toJava(): ScheduledQueryArgs