pulumi-aws-kotlin/com.pulumi.aws.timestreamquery.kotlin.inputs/ScheduledQueryLastRunSummaryQueryInsightsResponseArgsBuilder/querySpatialCoverages

querySpatialCoverages

@JvmName(name = "pocadjyiowdptafa")
suspend fun querySpatialCoverages(value: Output<List<ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgs>>)
@JvmName(name = "rfbjdmowsfthjdcy")
suspend fun querySpatialCoverages(value: List<ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgs>?)

Parameters

value

Insights into the spatial coverage of the query, including the table with sub-optimal (max) spatial pruning. This information can help you identify areas for improvement in your partitioning strategy to enhance spatial pruning.

@JvmName(name = "vevaqoabuhguufja")
suspend fun querySpatialCoverages(vararg values: Output<ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgs>)

@JvmName(name = "rfilyrylbupdcyye")
suspend fun querySpatialCoverages(values: List<Output<ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgs>>)
@JvmName(name = "mlkktrsaojliinyv")
suspend fun querySpatialCoverages(vararg values: ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgs)

Parameters

values

Insights into the spatial coverage of the query, including the table with sub-optimal (max) spatial pruning. This information can help you identify areas for improvement in your partitioning strategy to enhance spatial pruning.

@JvmName(name = "osgenmdtapdxuyal")
suspend fun querySpatialCoverages(argument: List<suspend ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgsBuilder.() -> Unit>)
@JvmName(name = "jcxicfaikrwxsyar")
suspend fun querySpatialCoverages(vararg argument: suspend ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgsBuilder.() -> Unit)
@JvmName(name = "uxiawoluwulkrvey")
suspend fun querySpatialCoverages(argument: suspend ScheduledQueryLastRunSummaryQueryInsightsResponseQuerySpatialCoverageArgsBuilder.() -> Unit)

Parameters

argument

Insights into the spatial coverage of the query, including the table with sub-optimal (max) spatial pruning. This information can help you identify areas for improvement in your partitioning strategy to enhance spatial pruning.