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

querySpatialCoverages

@JvmName(name = "liawurhcapvedmdq")
suspend fun querySpatialCoverages(value: Output<List<ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgs>>)
@JvmName(name = "orkvrsjaawvpllyo")
suspend fun querySpatialCoverages(value: List<ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgs>?)

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 = "qydwniaexrnvbegs")
suspend fun querySpatialCoverages(vararg values: Output<ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgs>)

@JvmName(name = "teqwaygvhrudahjj")
suspend fun querySpatialCoverages(values: List<Output<ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgs>>)
@JvmName(name = "wxfvhyrxdglnawsm")
suspend fun querySpatialCoverages(vararg values: ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgs)

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 = "kcfgvfoqirrfwemq")
suspend fun querySpatialCoverages(argument: List<suspend ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgsBuilder.() -> Unit>)
@JvmName(name = "jhbnobvxdbvaapba")
suspend fun querySpatialCoverages(vararg argument: suspend ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgsBuilder.() -> Unit)
@JvmName(name = "dyywljegadqfacxe")
suspend fun querySpatialCoverages(argument: suspend ScheduledQueryRecentlyFailedRunQueryInsightsResponseQuerySpatialCoverageArgsBuilder.() -> 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.