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Propeller

A Propeller determines your Application’s query processing power. The larger the Propeller, the faster the queries and the higher the cost. Every Propel Application (and therefore every set of API credentials) has a Propeller that determines the speed and cost of queries.

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  • 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

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ColumnType

The Propel data types.

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  • BOOLEAN: True or false.
  • STRING: A variable-length string.
  • FLOAT: A 32-bit signed double-precision floating point number.
  • DOUBLE: A 64-bit signed double-precision floating point number.
  • INT8: An 8-bit signed integer, with a minimum value of -2⁷ and a maximum value of 2⁷-1.
  • INT16: A 16-bit signed integer, with a minimum value of -2¹⁵ and a maximum value of 2¹⁵-1.
  • INT32: A 32-bit signed integer, with a minimum value of -2³¹ and a maximum value of 2³¹-1.
  • INT64: A 64-bit signed integer, with a minimum value of -2⁶³ and a maximum value of 2⁶³-1.
  • DATE: A date without a timestamp. For example, “YYYY-MM-DD”.
  • TIMESTAMP: A date with a timestamp. For example, “yyy-MM-dd HH:mm:ss”.
  • JSON: A JavaScript Object Notation (JSON) document.
  • CLICKHOUSE: A ClickHouse-specific type.

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Sort

The available sort orders.

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  • ASC: Sort in ascending order.
  • DESC: Sort in descending order.

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RelativeTimeRange

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.

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  • 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.
  • LAST_15_MINUTES
  • LAST_30_MINUTES
  • LAST_HOUR
  • LAST_4_HOURS
  • LAST_12_HOURS
  • LAST_24_HOURS
  • LAST_7_DAYS
  • LAST_30_DAYS
  • LAST_90_DAYS
  • LAST_3_MONTHS
  • LAST_6_MONTHS
  • LAST_YEAR
  • LAST_2_YEARS
  • LAST_5_YEARS

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TimeSeriesGranularity

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.

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  • 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.

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FilterOperator

The available Filter operators.

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  • 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.
  • IS_NULL: Selects values that are null. This operator does not accept a value.
  • IS_NOT_NULL: Selects values that are not null. This operator does not accept a value.
  • LIKE: Selects values that match the specified pattern.
  • NOT_LIKE: “Selects values that do not match the specified pattern.

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QueryStatus

The Query status.

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  • COMPLETED: The Query was completed succesfully.
  • ERROR: The Query experienced an error.
  • TIMED_OUT: The Query timed out.

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QueryType

The Query type.

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  • METRIC: Indicates a Metric Query.
  • STATS: Indicates a Dimension Stats Query.
  • REPORT: Indicates a Report Query.
  • RECORDS: Indicates a Record Table Query.
  • RECORDS_BY_UNIQUE_ID: Indicates records queried by unique ID.
  • SQL: Indicates a SQL Query.
  • TOP_VALUES: Indicates a Top Values Query.

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QuerySubtype

The Query subtype.

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  • COUNTER: Indicates a Metric counter Query.
  • TIME_SERIES: Indicates a Metric time series Query.
  • LEADERBOARD: Indicates a Metric leaderboard Query.

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SqlDialectV1

The SQL dialect to use when parsing queries.

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  • POSTGRESQL: Parse as PostgreSQL-compatible SQL.
  • CLICKHOUSE: Parse as ClickHouse-compatible SQL.