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MetricConnection

The Metric connection object.

Learn more about pagination in GraphQL.

fields

  • pageInfo non-null PageInfo

    The connection's page info.

    The page info object used for pagination.

    • pageInfo.startCursor nullable String

      Points to the first item returned in the results. Used when paginating backward.

    • pageInfo.endCursor nullable String

      Points to the last item returned in the results. Used when paginating forward.

    • pageInfo.hasNextPage non-null Boolean

      A boolean that indicates whether a next page of results exists. Can be used to display a "next page" button in user interfaces, for example.

    • pageInfo.hasPreviousPage non-null Boolean

      A boolean that indicates whether a previous page of results exists. Can be used to display a "previous page" button in user interfaces, for example.

  • edges nullable array of MetricEdge

    The connection's edges.

    The Metric edge object.

    Learn more about pagination in GraphQL.

  • nodes nullable array of Metric

    The connection's nodes.

    The Metric object.

    A Metric is a business indicator measured over time.

    Learn more about Metrics.

    • nodes.id non-null ID

      The Metric's unique identifier.

    • nodes.uniqueName non-null String

      The Metric's unique name.

    • nodes.description non-null String

      The Metric's description.

    • nodes.account non-null Account

      The Metric's Account.

    • nodes.environment non-null Environment

      The Metric's Environment.

    • nodes.createdAt non-null DateTime

      The Metric's creation date and time in UTC.

    • nodes.modifiedAt non-null DateTime

      The Metric's last modification date and time in UTC.

    • nodes.createdBy non-null String

      The Metric's creator. It can be either a User ID, an Application ID, or "system" if it was created by Propel.

    • nodes.modifiedBy non-null String

      The Metric's last modifier. It can be either a User ID, an Application ID, or "system" if it was modified by Propel.

    • nodes.dataPool nullable DataPool

      The Data Pool that powers this Metric.

    • nodes.dimensions non-null array of Dimension

      The Metric's Dimensions. These Dimensions are available to Query Filters.

    • nodes.timestamp non-null Dimension

      The Metric's timestamp. This is the same as its Data Pool's timestamp.

    • nodes.boosters non-null BoosterConnection

      List the Boosters associated to the Metric.

    • nodes.type non-null MetricType

      The Metric's type. The different Metric types determine how the values are calculated.

      The available Metric types.

      • COUNT

        Counts the number of records that matches the Metric Filters. For time series, it will count the values for each time granularity.

      • SUM

        Sums the values of the specified column for every record that matches the Metric Filters. For time series, it will sum the values for each time granularity.

      • COUNT_DISTINCT

        Counts the number of distinct values in the specified column for every record that matches the Metric Filters. For time series, it will count the distinct values for each time granularity.

      • AVERAGE

        Averages the values of the specified column for every record that matches the Metric Filters. For time series, it will average the values for each time granularity.

      • MIN

        Selects the minimum value of the specified column for every record that matches the Metric Filters. For time series, it will select the minimum value for each time granularity.

      • MAX

        Selects the maximum value of the specified column for every record that matches the Metric Filters. For time series, it will select the maximum value for each time granularity.

    • nodes.settings non-null MetricSettings

      The settings for the Metric. The settings are specific to the Metric's type.


    • nodes.counter nullable CounterResponse

      The Metric data in counter format. A single metric value for the given time range and filters.

      • nodes.counter.input required CounterInput

        The fields for querying a Metric in counter format.

        A Metric's counter query returns a single value over a given time range.

        • nodes.counter.input.timeRange required TimeRangeInput

          The time range for calculating the counter.

          The fields required to specify the time range for a time series, counter, or leaderboard Metric query.

          If no relative or absolute time ranges are provided, Propel defaults to an absolute time range beginning with the earliest record in the Metric's Data Pool and ending with the latest record.

          If both relative and absolute time ranges are provided, the relative time range will take precedence.

          If a LAST_N relative time period is selected, an n ≥ 1 must be provided. If no n is provided or n < 1, a BAD_REQUEST error will be returned.

          • nodes.counter.input.timeRange.relative optional RelativeTimeRange

            The relative time period.

            The Relative time ranges are based on the current date and time.

            THIS - The current unit of time. For example, if today is June 8, 2022, and THIS_MONTH is selected, then data for June 2022 would be returned.

            PREVIOUS - The previous unit of time. For example, if today is June 8, 2022, and PREVIOUS_MONTH is selected, then data for May 2022 would be returned. It excludes the current unit of time.

            NEXT - The next unit of time. For example, if today is June 8, 2022, and NEXT_MONTH is selected, then data for July 2022 would be returned. It excludes the current unit of time.

            LAST_N - The last n units of time, including the current one. For example, if today is June 8, 2022 and LAST_N_YEARS with n = 3 is selected, then data for 2020, 2021, and 2022 will be returned. It will include the current time period.

            • THIS_HOUR

              Starts at the zeroth minute of the current hour and continues for 60 minutes.

            • TODAY

              Starts at 12:00:00 AM of the current day and continues for 24 hours.

            • THIS_WEEK

              Starts on Monday, 12:00:00 AM of the current week and continues for seven days.

            • THIS_MONTH

              Starts at 12:00:00 AM on the first day of the current month and continues for the duration of the month.

            • THIS_QUARTER

              Starts at 12:00:00 AM on the first day of the current calendar quarter and continues for the duration of the quarter.

            • THIS_YEAR

              Starts on January 1st, 12:00:00 AM of the current year and continues for the duration of the year.

            • PREVIOUS_HOUR

              Starts at the zeroth minute of the previous hour and continues for 60 minutes.

            • YESTERDAY

              Starts at 12:00:00 AM on the day before the today and continues for 24 hours.

            • PREVIOUS_WEEK

              Starts on Monday, 12:00:00 AM, a week before the current week, and continues for seven days.

            • PREVIOUS_MONTH

              Starts at 12:00:00 AM on the first day of the month before the current month and continues for the duration of the month.

            • PREVIOUS_QUARTER

              Starts at 12:00:00 AM on the first day of the calendar quarter before the current quarter and continues for the duration of the quarter.

            • PREVIOUS_YEAR

              Starts on January 1st, 12:00:00 AM, the year before the current year, and continues for the duration of the year.

            • NEXT_HOUR

              Starts at the zeroth minute of the next hour and continues for 60 minutes.

            • TOMORROW

              " Starts at 12:00:00 AM, the day after the current day, and continues for 24 hours.

            • NEXT_WEEK

              Starts on Monday, 12:00:00 AM, the week after the current week, and continues for the duration of the week.

            • NEXT_MONTH

              Starts at 12:00:00 AM on the first day of the next month and continues for the duration of the month.

            • NEXT_QUARTER

              Starts at 12:00:00 AM on the first day of the next calendar quarter and continues for the duration of the quarter.

            • NEXT_YEAR

              Starts on January 1st, 12:00:00 AM of the next year and continues for the duration of the year.

            • LAST_N_MINUTES

              Starts at the zeroth second n - 1 minute(s) before the current minute and continues through the current minute. It includes this minute.

            • LAST_N_HOURS

              Starts at the zeroth minute of the n - 1 hour(s) before the current hour, and continues through the current hour. It includes this hour.

            • LAST_N_DAYS

              Starts at 12:00:00 AM, n - 1 day(s) before the current day, and continues through the current day. It includes today.

            • LAST_N_WEEKS

              Starts on Monday, 12:00:00 AM, n - 1 week(s) before the current week, and continues through the current week. It includes this week.

            • LAST_N_MONTHS

              Starts at 12:00:00 AM on the first day of the month, n - 1 month(s) before the current month, and continues through the current month. It includes this month.

            • LAST_N_QUARTERS

              Starts at 12:00:00 AM on the first day of the calendar quarter n - 1 quarter(s) before the current quarter and continues through the current quarter. It includes this quarter.

            • LAST_N_YEARS

              Starts on January 1st, 12:00:00 AM of the year n - 1 year(s) before the current year and continues through the current year. It includes this year.

          • nodes.counter.input.timeRange.n optional Int

            The number of time units for the LAST_N relative periods.

          • nodes.counter.input.timeRange.start optional DateTime

            The optional start timestamp (inclusive). Defaults to the timestamp of the earliest record in the Data Pool.

          • nodes.counter.input.timeRange.stop optional DateTime

            The optional end timestamp (exclusive). Defaults to the timestamp of the latest record in the Data Pool.

        • nodes.counter.input.filters optional array of FilterInput

          The Query Filters to apply before retrieving the counter data. If no Query Filters are provided, all data is included.

          The fields for defining a Filter.

          • nodes.counter.input.filters.column required String

            The name of the column to filter on.

          • nodes.counter.input.filters.operator required FilterOperator

            The operation to perform when comparing the column and filter values.

            The available Filter operators.

            • EQUALS

              Selects values that are equal to the specified value.

            • NOT_EQUALS

              Selects values that are not equal to the specified value.

            • GREATER_THAN

              Selects values that are greater than the specified value.

            • GREATER_THAN_OR_EQUAL_TO

              Selects values that are greater or equal to the specified value.

            • LESS_THAN

              Selects values that are less than the specified value.

            • LESS_THAN_OR_EQUAL_TO

              Selects values that are less or equal to the specified value.

          • nodes.counter.input.filters.value required String

            The value to compare the column to.

        • nodes.counter.input.propeller optional Propeller

          Optionally specifies the Propeller to use. This can be set when querying from the Metric Playground or GraphQL Explorer. Applications may not set this value. Instead, Application Queries always use the Propeller configured on the Application.

          A Propeller defines the compute power assigned to a Propel Application. The larger its compute power, the faster the queries. With Propellers, you can assign different compute powers (and cost profiles) to different use cases or workloads (with the same data).

          Propellers have the following properties:

          Max RPS: The maximum number of records per second (RPS) that can be processed by the Propeller on a single query.

          • P1_X_SMALL

            Max records per second: 5,000,000 records per second

          • P1_SMALL

            Max records per second: 25,000,000 records per second

          • P1_MEDIUM

            Max records per second: 100,000,000 records per second

          • P1_LARGE

            Max records per second: 250,000,000 records per second

          • P1_X_LARGE

            Max records per second: 500,000,000 records per second

    • nodes.timeSeries nullable TimeSeriesResponse

      The Metric data in time series format. Arrays of timestamps and Metric values for the given time range and filters.

      • nodes.timeSeries.input required TimeSeriesInput

        The fields for querying a Metric in time series format.

        A Metric's time series query returns the values over a given time range aggregated by a given time granularity; day, month, or year, for example.

        • nodes.timeSeries.input.timeRange required TimeRangeInput

          The time range for calculating the time series.

          The fields required to specify the time range for a time series, counter, or leaderboard Metric query.

          If no relative or absolute time ranges are provided, Propel defaults to an absolute time range beginning with the earliest record in the Metric's Data Pool and ending with the latest record.

          If both relative and absolute time ranges are provided, the relative time range will take precedence.

          If a LAST_N relative time period is selected, an n ≥ 1 must be provided. If no n is provided or n < 1, a BAD_REQUEST error will be returned.

          • nodes.timeSeries.input.timeRange.relative optional RelativeTimeRange

            The relative time period.

            The Relative time ranges are based on the current date and time.

            THIS - The current unit of time. For example, if today is June 8, 2022, and THIS_MONTH is selected, then data for June 2022 would be returned.

            PREVIOUS - The previous unit of time. For example, if today is June 8, 2022, and PREVIOUS_MONTH is selected, then data for May 2022 would be returned. It excludes the current unit of time.

            NEXT - The next unit of time. For example, if today is June 8, 2022, and NEXT_MONTH is selected, then data for July 2022 would be returned. It excludes the current unit of time.

            LAST_N - The last n units of time, including the current one. For example, if today is June 8, 2022 and LAST_N_YEARS with n = 3 is selected, then data for 2020, 2021, and 2022 will be returned. It will include the current time period.

            • THIS_HOUR

              Starts at the zeroth minute of the current hour and continues for 60 minutes.

            • TODAY

              Starts at 12:00:00 AM of the current day and continues for 24 hours.

            • THIS_WEEK

              Starts on Monday, 12:00:00 AM of the current week and continues for seven days.

            • THIS_MONTH

              Starts at 12:00:00 AM on the first day of the current month and continues for the duration of the month.

            • THIS_QUARTER

              Starts at 12:00:00 AM on the first day of the current calendar quarter and continues for the duration of the quarter.

            • THIS_YEAR

              Starts on January 1st, 12:00:00 AM of the current year and continues for the duration of the year.

            • PREVIOUS_HOUR

              Starts at the zeroth minute of the previous hour and continues for 60 minutes.

            • YESTERDAY

              Starts at 12:00:00 AM on the day before the today and continues for 24 hours.

            • PREVIOUS_WEEK

              Starts on Monday, 12:00:00 AM, a week before the current week, and continues for seven days.

            • PREVIOUS_MONTH

              Starts at 12:00:00 AM on the first day of the month before the current month and continues for the duration of the month.

            • PREVIOUS_QUARTER

              Starts at 12:00:00 AM on the first day of the calendar quarter before the current quarter and continues for the duration of the quarter.

            • PREVIOUS_YEAR

              Starts on January 1st, 12:00:00 AM, the year before the current year, and continues for the duration of the year.

            • NEXT_HOUR

              Starts at the zeroth minute of the next hour and continues for 60 minutes.

            • TOMORROW

              " Starts at 12:00:00 AM, the day after the current day, and continues for 24 hours.

            • NEXT_WEEK

              Starts on Monday, 12:00:00 AM, the week after the current week, and continues for the duration of the week.

            • NEXT_MONTH

              Starts at 12:00:00 AM on the first day of the next month and continues for the duration of the month.

            • NEXT_QUARTER

              Starts at 12:00:00 AM on the first day of the next calendar quarter and continues for the duration of the quarter.

            • NEXT_YEAR

              Starts on January 1st, 12:00:00 AM of the next year and continues for the duration of the year.

            • LAST_N_MINUTES

              Starts at the zeroth second n - 1 minute(s) before the current minute and continues through the current minute. It includes this minute.

            • LAST_N_HOURS

              Starts at the zeroth minute of the n - 1 hour(s) before the current hour, and continues through the current hour. It includes this hour.

            • LAST_N_DAYS

              Starts at 12:00:00 AM, n - 1 day(s) before the current day, and continues through the current day. It includes today.

            • LAST_N_WEEKS

              Starts on Monday, 12:00:00 AM, n - 1 week(s) before the current week, and continues through the current week. It includes this week.

            • LAST_N_MONTHS

              Starts at 12:00:00 AM on the first day of the month, n - 1 month(s) before the current month, and continues through the current month. It includes this month.

            • LAST_N_QUARTERS

              Starts at 12:00:00 AM on the first day of the calendar quarter n - 1 quarter(s) before the current quarter and continues through the current quarter. It includes this quarter.

            • LAST_N_YEARS

              Starts on January 1st, 12:00:00 AM of the year n - 1 year(s) before the current year and continues through the current year. It includes this year.

          • nodes.timeSeries.input.timeRange.n optional Int

            The number of time units for the LAST_N relative periods.

          • nodes.timeSeries.input.timeRange.start optional DateTime

            The optional start timestamp (inclusive). Defaults to the timestamp of the earliest record in the Data Pool.

          • nodes.timeSeries.input.timeRange.stop optional DateTime

            The optional end timestamp (exclusive). Defaults to the timestamp of the latest record in the Data Pool.

        • nodes.timeSeries.input.granularity required TimeSeriesGranularity

          The time granularity (hour, day, month, etc.) to aggregate the Metric values by.

          The available time series granularities. Granularities define the unit of time to aggregate the Metric data for a time series query.

          For example, if the granularity is set to DAY, then the the time series query will return a label and a value for each day.

          If there are no records for a given time series granularity, Propel will return the label and a value of "0" so that the time series can be properly visualized.

          • MINUTE

            Aggregates values by minute intervals.

          • FIVE_MINUTES

            Aggregates values by 5-minute intervals.

          • TEN_MINUTES

            Aggregates values by 10-minute intervals.

          • FIFTEEN_MINUTES

            Aggregates values by 15-minute intervals.

          • HOUR

            Aggregates values by hourly intervals.

          • DAY

            Aggregates values by daily intervals.

          • WEEK

            Aggregates values by weekly intervals.

          • MONTH

            Aggregates values by monthly intervals.

          • YEAR

            Aggregates values by yearly intervals.

        • nodes.timeSeries.input.filters optional array of FilterInput

          The Query Filters to apply before retrieving the time series data. If no Query Filters are provided, all data is included.

          The fields for defining a Filter.

          • nodes.timeSeries.input.filters.column required String

            The name of the column to filter on.

          • nodes.timeSeries.input.filters.operator required FilterOperator

            The operation to perform when comparing the column and filter values.

            The available Filter operators.

            • EQUALS

              Selects values that are equal to the specified value.

            • NOT_EQUALS

              Selects values that are not equal to the specified value.

            • GREATER_THAN

              Selects values that are greater than the specified value.

            • GREATER_THAN_OR_EQUAL_TO

              Selects values that are greater or equal to the specified value.

            • LESS_THAN

              Selects values that are less than the specified value.

            • LESS_THAN_OR_EQUAL_TO

              Selects values that are less or equal to the specified value.

          • nodes.timeSeries.input.filters.value required String

            The value to compare the column to.

        • nodes.timeSeries.input.propeller optional Propeller

          Optionally specifies the Propeller to use. This can be set by Users when querying from the Metric Playground or GraphQL Explorer. Applications may not set this value. Instead, Application Queries always use the Propeller configured on the Application.

          A Propeller defines the compute power assigned to a Propel Application. The larger its compute power, the faster the queries. With Propellers, you can assign different compute powers (and cost profiles) to different use cases or workloads (with the same data).

          Propellers have the following properties:

          Max RPS: The maximum number of records per second (RPS) that can be processed by the Propeller on a single query.

          • P1_X_SMALL

            Max records per second: 5,000,000 records per second

          • P1_SMALL

            Max records per second: 25,000,000 records per second

          • P1_MEDIUM

            Max records per second: 100,000,000 records per second

          • P1_LARGE

            Max records per second: 250,000,000 records per second

          • P1_X_LARGE

            Max records per second: 500,000,000 records per second

    • nodes.leaderboard nullable LeaderboardResponse

      The Metric data in leaderboard format. A table (array of rows) with the selected dimensions and corresponding Metric values for the given time range and filters.

      • nodes.leaderboard.input required LeaderboardInput

        The fields for querying a Metric in leaderboard format.

        A Metric's leaderboard query returns an ordered table of Dimension and Metric values over a given time range.

        • nodes.leaderboard.input.timeRange required TimeRangeInput

          The time range for calculating the leaderboard.

          The fields required to specify the time range for a time series, counter, or leaderboard Metric query.

          If no relative or absolute time ranges are provided, Propel defaults to an absolute time range beginning with the earliest record in the Metric's Data Pool and ending with the latest record.

          If both relative and absolute time ranges are provided, the relative time range will take precedence.

          If a LAST_N relative time period is selected, an n ≥ 1 must be provided. If no n is provided or n < 1, a BAD_REQUEST error will be returned.

          • nodes.leaderboard.input.timeRange.relative optional RelativeTimeRange

            The relative time period.

            The Relative time ranges are based on the current date and time.

            THIS - The current unit of time. For example, if today is June 8, 2022, and THIS_MONTH is selected, then data for June 2022 would be returned.

            PREVIOUS - The previous unit of time. For example, if today is June 8, 2022, and PREVIOUS_MONTH is selected, then data for May 2022 would be returned. It excludes the current unit of time.

            NEXT - The next unit of time. For example, if today is June 8, 2022, and NEXT_MONTH is selected, then data for July 2022 would be returned. It excludes the current unit of time.

            LAST_N - The last n units of time, including the current one. For example, if today is June 8, 2022 and LAST_N_YEARS with n = 3 is selected, then data for 2020, 2021, and 2022 will be returned. It will include the current time period.

            • THIS_HOUR

              Starts at the zeroth minute of the current hour and continues for 60 minutes.

            • TODAY

              Starts at 12:00:00 AM of the current day and continues for 24 hours.

            • THIS_WEEK

              Starts on Monday, 12:00:00 AM of the current week and continues for seven days.

            • THIS_MONTH

              Starts at 12:00:00 AM on the first day of the current month and continues for the duration of the month.

            • THIS_QUARTER

              Starts at 12:00:00 AM on the first day of the current calendar quarter and continues for the duration of the quarter.

            • THIS_YEAR

              Starts on January 1st, 12:00:00 AM of the current year and continues for the duration of the year.

            • PREVIOUS_HOUR

              Starts at the zeroth minute of the previous hour and continues for 60 minutes.

            • YESTERDAY

              Starts at 12:00:00 AM on the day before the today and continues for 24 hours.

            • PREVIOUS_WEEK

              Starts on Monday, 12:00:00 AM, a week before the current week, and continues for seven days.

            • PREVIOUS_MONTH

              Starts at 12:00:00 AM on the first day of the month before the current month and continues for the duration of the month.

            • PREVIOUS_QUARTER

              Starts at 12:00:00 AM on the first day of the calendar quarter before the current quarter and continues for the duration of the quarter.

            • PREVIOUS_YEAR

              Starts on January 1st, 12:00:00 AM, the year before the current year, and continues for the duration of the year.

            • NEXT_HOUR

              Starts at the zeroth minute of the next hour and continues for 60 minutes.

            • TOMORROW

              " Starts at 12:00:00 AM, the day after the current day, and continues for 24 hours.

            • NEXT_WEEK

              Starts on Monday, 12:00:00 AM, the week after the current week, and continues for the duration of the week.

            • NEXT_MONTH

              Starts at 12:00:00 AM on the first day of the next month and continues for the duration of the month.

            • NEXT_QUARTER

              Starts at 12:00:00 AM on the first day of the next calendar quarter and continues for the duration of the quarter.

            • NEXT_YEAR

              Starts on January 1st, 12:00:00 AM of the next year and continues for the duration of the year.

            • LAST_N_MINUTES

              Starts at the zeroth second n - 1 minute(s) before the current minute and continues through the current minute. It includes this minute.

            • LAST_N_HOURS

              Starts at the zeroth minute of the n - 1 hour(s) before the current hour, and continues through the current hour. It includes this hour.

            • LAST_N_DAYS

              Starts at 12:00:00 AM, n - 1 day(s) before the current day, and continues through the current day. It includes today.

            • LAST_N_WEEKS

              Starts on Monday, 12:00:00 AM, n - 1 week(s) before the current week, and continues through the current week. It includes this week.

            • LAST_N_MONTHS

              Starts at 12:00:00 AM on the first day of the month, n - 1 month(s) before the current month, and continues through the current month. It includes this month.

            • LAST_N_QUARTERS

              Starts at 12:00:00 AM on the first day of the calendar quarter n - 1 quarter(s) before the current quarter and continues through the current quarter. It includes this quarter.

            • LAST_N_YEARS

              Starts on January 1st, 12:00:00 AM of the year n - 1 year(s) before the current year and continues through the current year. It includes this year.

          • nodes.leaderboard.input.timeRange.n optional Int

            The number of time units for the LAST_N relative periods.

          • nodes.leaderboard.input.timeRange.start optional DateTime

            The optional start timestamp (inclusive). Defaults to the timestamp of the earliest record in the Data Pool.

          • nodes.leaderboard.input.timeRange.stop optional DateTime

            The optional end timestamp (exclusive). Defaults to the timestamp of the latest record in the Data Pool.

        • nodes.leaderboard.input.dimensions required array of DimensionInput

          One or many Dimensions to group the Metric values by. Typically, Dimensions in a leaderboard are what you want to compare and rank.

          The fields for creating or modifying a Dimension.

        • nodes.leaderboard.input.sort optional Sort

          The sort order of the rows. It can be ascending (ASC) or descending (DESC) order. Defaults to descending (DESC) order when not provided.

          The sort order options for Metric Queries.

          • ASC

            Sort in ascending order.

          • DESC

            Sort in descending order.

        • nodes.leaderboard.input.rowLimit required Int

          The number of rows to be returned. It can be a number between 1 and 1,000.

        • nodes.leaderboard.input.filters optional array of FilterInput

          The list of filters to apply before retrieving the leaderboard data. If no Query Filters are provided, all data is included.

          The fields for defining a Filter.

          • nodes.leaderboard.input.filters.column required String

            The name of the column to filter on.

          • nodes.leaderboard.input.filters.operator required FilterOperator

            The operation to perform when comparing the column and filter values.

            The available Filter operators.

            • EQUALS

              Selects values that are equal to the specified value.

            • NOT_EQUALS

              Selects values that are not equal to the specified value.

            • GREATER_THAN

              Selects values that are greater than the specified value.

            • GREATER_THAN_OR_EQUAL_TO

              Selects values that are greater or equal to the specified value.

            • LESS_THAN

              Selects values that are less than the specified value.

            • LESS_THAN_OR_EQUAL_TO

              Selects values that are less or equal to the specified value.

          • nodes.leaderboard.input.filters.value required String

            The value to compare the column to.

        • nodes.leaderboard.input.propeller optional Propeller

          Optionally specifies the Propeller to use. This can be set by Users when querying from the Metric Playground or GraphQL Explorer. Applications may not set this value. Instead, Application Queries always use the Propeller configured on the Application.

          A Propeller defines the compute power assigned to a Propel Application. The larger its compute power, the faster the queries. With Propellers, you can assign different compute powers (and cost profiles) to different use cases or workloads (with the same data).

          Propellers have the following properties:

          Max RPS: The maximum number of records per second (RPS) that can be processed by the Propeller on a single query.

          • P1_X_SMALL

            Max records per second: 5,000,000 records per second

          • P1_SMALL

            Max records per second: 25,000,000 records per second

          • P1_MEDIUM

            Max records per second: 100,000,000 records per second

          • P1_LARGE

            Max records per second: 250,000,000 records per second

          • P1_X_LARGE

            Max records per second: 500,000,000 records per second

    • nodes.policies non-null PolicyConnection

      List the Policies associated to the Metric.

    • nodes.accessControlEnabled non-null Boolean

      Whether or not access control is enabled for the Metric.