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ColumnType

The Propel data types.

values

  • 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.

FilterOperator

The available Filter operators.

values

  • 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.

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.

Learn more about Data Sources.

values

  • 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

QueryStatus

The Query status.

values

  • COMPLETED

    The Query was completed succesfully.

  • ERROR

    The Query experienced an error.

  • TIMED_OUT

    The Query timed out.

QuerySubtype

The Query subtype.

values

  • COUNTER

    Indicates a Metric counter Query.

  • TIME_SERIES

    Indicates a Metric time series Query.

  • LEADERBOARD

    Indicates a Metric leaderboard Query.

QueryType

The Query type.

values

  • 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.

  • SELECT

    Indicates a SelectV1 Query.

  • SQL

    Indicates a SQL Query.

  • TOP_VALUES

    Indicates a Top Values Query.

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.

values

  • 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.

Sort

The available sort orders.

values

  • ASC

    Sort in ascending order.

  • DESC

    Sort in descending order.

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.

values

  • 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.