Read how access to one entity moves over the window: per direction, a point per UTC hour, a point
per day in the asked time zone, and a weekday and hour grid. A direction’s total is the sum of its
actors in ListEntityActors under the same lens. It names tools, never a login.
ActivityLens picks which directions and which logins count. Coalesce Quality's own queries, a read
of an intermediate table and a login's reads of a table it wrote the same day are left out under
every lens, and writes never depend on it.
A Timestamp represents a point in time independent of any time zone or local
calendar, encoded as a count of seconds and fractions of seconds at
nanosecond resolution. The count is relative to an epoch at UTC midnight on
January 1, 1970, in the proleptic Gregorian calendar which extends the
Gregorian calendar backwards to year one.
All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap
second table is needed for interpretation, using a 24-hour linear
smear.
The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By
restricting to that range, we ensure that we can convert to and from RFC
3339 date strings.
In JSON format, the Timestamp type is encoded as a string in the
RFC 3339 format. That is, the
format is "{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z"
where {year} is always expressed using four digits while {month}, {day},
{hour}, {min}, and {sec} are zero-padded to two digits each. The fractional
seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution),
are optional. The "Z" suffix indicates the timezone ("UTC"); the timezone
is required. A proto3 JSON serializer should always use UTC (as indicated by
"Z") when printing the Timestamp type and a proto3 JSON parser should be
able to accept both UTC and other timezones (as indicated by an offset).
For example, "2017-01-15T01:30:15.01Z" encodes 15.01 seconds past
01:30 UTC on January 15, 2017.
In JavaScript, one can convert a Date object to this format using the
standard
toISOString()
method. In Python, a standard datetime.datetime object can be converted
to this format using
strftime with
the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use
the Joda Time's ISODateTimeFormat.dateTime() to obtain a formatter capable of generating timestamps in this format.
Why an hour of the window that was not read was not. Each point carries its own missing_hours.
Show child attributes
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Windows epoch 1601-01-01T00:00:00Z\n // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z.\n Timestamp timestamp;\n timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL));\n timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\n Example 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\n long millis = System.currentTimeMillis();\n\n Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000)\n .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n Example 5: Compute Timestamp from Java `Instant.now()`.\n\n Instant now = Instant.now();\n\n Timestamp timestamp =\n Timestamp.newBuilder().setSeconds(now.getEpochSecond())\n .setNanos(now.getNano()).build();\n\n Example 6: Compute Timestamp from current time in Python.\n\n timestamp = Timestamp()\n timestamp.GetCurrentTime()\n\n # JSON Mapping\n\n In JSON format, the Timestamp type is encoded as a string in the\n [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. 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Counts are compared only within one measure.","uniqueKey":"directions.items.[INDEX].measure","typeLabel":"enum\u003cstring>"},"total":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"directions.items.[INDEX].total.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"directions.items.[INDEX].total.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"directions.items.[INDEX].total","typeLabel":"integer\u003cint64> | string\u003cint64>"},"hourly":{"type":"array","items":{"type":"object","properties":{"start":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"A Timestamp represents a point in time independent of any time zone or local\n calendar, encoded as a count of seconds and fractions of seconds at\n nanosecond resolution. The count is relative to an epoch at UTC midnight on\n January 1, 1970, in the proleptic Gregorian calendar which extends the\n Gregorian calendar backwards to year one.\n\n All minutes are 60 seconds long. Leap seconds are \"smeared\" so that no leap\n second table is needed for interpretation, using a [24-hour linear\n smear](https://developers.google.com/time/smear).\n\n The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By\n restricting to that range, we ensure that we can convert to and from [RFC\n 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings.\n\n # Examples\n\n Example 1: Compute Timestamp from POSIX `time()`.\n\n Timestamp timestamp;\n timestamp.set_seconds(time(NULL));\n timestamp.set_nanos(0);\n\n Example 2: Compute Timestamp from POSIX `gettimeofday()`.\n\n struct timeval tv;\n gettimeofday(\u0026tv, NULL);\n\n Timestamp timestamp;\n timestamp.set_seconds(tv.tv_sec);\n timestamp.set_nanos(tv.tv_usec * 1000);\n\n Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`.\n\n FILETIME ft;\n GetSystemTimeAsFileTime(\u0026ft);\n UINT64 ticks = (((UINT64)ft.dwHighDateTime) \u003c\u003c 32) | ft.dwLowDateTime;\n\n // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z\n // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z.\n Timestamp timestamp;\n timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL));\n timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\n Example 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\n long millis = System.currentTimeMillis();\n\n Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000)\n .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n Example 5: Compute Timestamp from Java `Instant.now()`.\n\n Instant now = Instant.now();\n\n Timestamp timestamp =\n Timestamp.newBuilder().setSeconds(now.getEpochSecond())\n .setNanos(now.getNano()).build();\n\n Example 6: Compute Timestamp from current time in Python.\n\n timestamp = Timestamp()\n timestamp.GetCurrentTime()\n\n # JSON Mapping\n\n In JSON format, the Timestamp type is encoded as a string in the\n [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the\n format is \"{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z\"\n where {year} is always expressed using four digits while {month}, {day},\n {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional\n seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution),\n are optional. The \"Z\" suffix indicates the timezone (\"UTC\"); the timezone\n is required. A proto3 JSON serializer should always use UTC (as indicated by\n \"Z\") when printing the Timestamp type and a proto3 JSON parser should be\n able to accept both UTC and other timezones (as indicated by an offset).\n\n For example, \"2017-01-15T01:30:15.01Z\" encodes 15.01 seconds past\n 01:30 UTC on January 15, 2017.\n\n In JavaScript, one can convert a Date object to this format using the\n standard\n [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString)\n method. In Python, a standard `datetime.datetime` object can be converted\n to this format using\n [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with\n the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use\n the Joda Time's [`ISODateTimeFormat.dateTime()`](\n http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime()\n ) to obtain a formatter capable of generating timestamps in this format.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].start","typeLabel":"string\u003cdate-time>"},"count":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].count.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].count.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].count","typeLabel":"integer\u003cint64> | string\u003cint64>"},"byIssuer":{"type":"array","items":{"type":"object","properties":{"issuer":{"type":"string","title":"DataPlatformType","enum":["DATA_PLATFORM_TYPE_UNSPECIFIED","DATA_PLATFORM_TYPE_BIGQUERY","DATA_PLATFORM_TYPE_LOOKER","DATA_PLATFORM_TYPE_DBT","DATA_PLATFORM_TYPE_DBT_CLOUD","DATA_PLATFORM_TYPE_DBT_SELF_HOSTED","DATA_PLATFORM_TYPE_SNOWFLAKE","DATA_PLATFORM_TYPE_GCP","DATA_PLATFORM_TYPE_GIT","DATA_PLATFORM_TYPE_GITHUB","DATA_PLATFORM_TYPE_REDSHIFT","DATA_PLATFORM_TYPE_TABLEAU","DATA_PLATFORM_TYPE_AIRFLOW","DATA_PLATFORM_TYPE_CLICKHOUSE","DATA_PLATFORM_TYPE_POSTGRES","DATA_PLATFORM_TYPE_MYSQL","DATA_PLATFORM_TYPE_DATABRICKS","DATA_PLATFORM_TYPE_SQLMESH","DATA_PLATFORM_TYPE_DUCKDB","DATA_PLATFORM_TYPE_TRINO","DATA_PLATFORM_TYPE_ATLAN","DATA_PLATFORM_TYPE_COALESCE","DATA_PLATFORM_TYPE_CASTORDOC","DATA_PLATFORM_TYPE_FIVETRAN","DATA_PLATFORM_TYPE_DAGSTER","DATA_PLATFORM_TYPE_AIRBYTE","DATA_PLATFORM_TYPE_STITCH","DATA_PLATFORM_TYPE_SNOWPLOW","DATA_PLATFORM_TYPE_POWERBI","DATA_PLATFORM_TYPE_THOUGHTSPOT","DATA_PLATFORM_TYPE_SIGMA","DATA_PLATFORM_TYPE_DOMO","DATA_PLATFORM_TYPE_MSSQL","DATA_PLATFORM_TYPE_ORACLE","DATA_PLATFORM_TYPE_ATHENA","DATA_PLATFORM_TYPE_FABRIC","DATA_PLATFORM_TYPE_DB2","DATA_PLATFORM_TYPE_LOOKER_STUDIO","DATA_PLATFORM_TYPE_HEX","DATA_PLATFORM_TYPE_OMNI","DATA_PLATFORM_TYPE_METABASE","DATA_PLATFORM_TYPE_GOOGLE_SHEETS","DATA_PLATFORM_TYPE_GRAFANA","DATA_PLATFORM_TYPE_STREAMLIT","DATA_PLATFORM_TYPE_ASTRATO","DATA_PLATFORM_TYPE_SNOWFLAKE_CORTEX","DATA_PLATFORM_TYPE_SNOWFLAKE_INTELLIGENCE","DATA_PLATFORM_TYPE_CUBE","DATA_PLATFORM_TYPE_CENSUS","DATA_PLATFORM_TYPE_HIGHTOUCH","DATA_PLATFORM_TYPE_WORKATO","DATA_PLATFORM_TYPE_ESTUARY","DATA_PLATFORM_TYPE_DLT","DATA_PLATFORM_TYPE_TERRAFORM","DATA_PLATFORM_TYPE_HEVO","DATA_PLATFORM_TYPE_DATASTREAM","DATA_PLATFORM_TYPE_QLIK","DATA_PLATFORM_TYPE_SALESFORCE","DATA_PLATFORM_TYPE_SYNQ"],"description":"DATA_PLATFORM_TYPE_UNSPECIFIED is access whose query carried no tool's tag.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].byIssuer.items.[INDEX].issuer","typeLabel":"enum\u003cstring>"},"count":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].byIssuer.items.[INDEX].count.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].byIssuer.items.[INDEX].count.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].byIssuer.items.[INDEX].count","typeLabel":"integer\u003cint64> | string\u003cint64>"}},"title":"IssuerCount","additionalProperties":false,"description":"IssuerCount is one issuing tool's part of a point.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].byIssuer.items.[INDEX]","typeLabel":"IssuerCount · object"},"description":"With SERIES_SPLIT_ISSUER only: each tool's count, highest first, then by issuer.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].byIssuer","typeLabel":"IssuerCount · object[]"},"covered":{"type":"boolean","description":"On an hourly point: whether the hour's query history was read.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].covered","typeLabel":"boolean"},"coveredHours":{"type":"integer","description":"On a daily point: how many of the day's hours were read. A day has 23 or 25 hours when the time\n zone changes its offset.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].coveredHours","typeLabel":"integer"},"partial":{"type":"boolean","description":"On a daily point: the day is not wholly inside the window.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].partial","typeLabel":"boolean"},"missingHours":{"type":"integer","description":"How many of the point's hours are missing from the query history, as QueryHistory counts them:\n 0 or 1 on an hourly point. An hour that was not read and is not missing is one no integration\n has fetched yet.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX].missingHours","typeLabel":"integer"}},"title":"SeriesPoint","additionalProperties":false,"description":"SeriesPoint is one step of a series. A series is dense: a step with nothing counted is a point with\n count 0, and covered or covered_hours say whether it was seen at all.","uniqueKey":"directions.items.[INDEX].hourly.items.[INDEX]","typeLabel":"SeriesPoint · object"},"description":"One point per UTC hour of the window. Empty for a measure platforms only report per day, such as\n VIEWS.","uniqueKey":"directions.items.[INDEX].hourly","typeLabel":"SeriesPoint · object[]"},"daily":{"type":"array","items":{"type":"object","properties":{"start":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"A Timestamp represents a point in time independent of any time zone or local\n calendar, encoded as a count of seconds and fractions of seconds at\n nanosecond resolution. The count is relative to an epoch at UTC midnight on\n January 1, 1970, in the proleptic Gregorian calendar which extends the\n Gregorian calendar backwards to year one.\n\n All minutes are 60 seconds long. Leap seconds are \"smeared\" so that no leap\n second table is needed for interpretation, using a [24-hour linear\n smear](https://developers.google.com/time/smear).\n\n The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By\n restricting to that range, we ensure that we can convert to and from [RFC\n 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings.\n\n # Examples\n\n Example 1: Compute Timestamp from POSIX `time()`.\n\n Timestamp timestamp;\n timestamp.set_seconds(time(NULL));\n timestamp.set_nanos(0);\n\n Example 2: Compute Timestamp from POSIX `gettimeofday()`.\n\n struct timeval tv;\n gettimeofday(\u0026tv, NULL);\n\n Timestamp timestamp;\n timestamp.set_seconds(tv.tv_sec);\n timestamp.set_nanos(tv.tv_usec * 1000);\n\n Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`.\n\n FILETIME ft;\n GetSystemTimeAsFileTime(\u0026ft);\n UINT64 ticks = (((UINT64)ft.dwHighDateTime) \u003c\u003c 32) | ft.dwLowDateTime;\n\n // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z\n // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z.\n Timestamp timestamp;\n timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL));\n timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\n Example 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\n long millis = System.currentTimeMillis();\n\n Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000)\n .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n Example 5: Compute Timestamp from Java `Instant.now()`.\n\n Instant now = Instant.now();\n\n Timestamp timestamp =\n Timestamp.newBuilder().setSeconds(now.getEpochSecond())\n .setNanos(now.getNano()).build();\n\n Example 6: Compute Timestamp from current time in Python.\n\n timestamp = Timestamp()\n timestamp.GetCurrentTime()\n\n # JSON Mapping\n\n In JSON format, the Timestamp type is encoded as a string in the\n [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the\n format is \"{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z\"\n where {year} is always expressed using four digits while {month}, {day},\n {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional\n seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution),\n are optional. The \"Z\" suffix indicates the timezone (\"UTC\"); the timezone\n is required. A proto3 JSON serializer should always use UTC (as indicated by\n \"Z\") when printing the Timestamp type and a proto3 JSON parser should be\n able to accept both UTC and other timezones (as indicated by an offset).\n\n For example, \"2017-01-15T01:30:15.01Z\" encodes 15.01 seconds past\n 01:30 UTC on January 15, 2017.\n\n In JavaScript, one can convert a Date object to this format using the\n standard\n [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString)\n method. In Python, a standard `datetime.datetime` object can be converted\n to this format using\n [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with\n the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use\n the Joda Time's [`ISODateTimeFormat.dateTime()`](\n http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime()\n ) to obtain a formatter capable of generating timestamps in this format.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].start","typeLabel":"string\u003cdate-time>"},"count":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].count.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].count.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].count","typeLabel":"integer\u003cint64> | string\u003cint64>"},"byIssuer":{"type":"array","items":{"type":"object","properties":{"issuer":{"type":"string","title":"DataPlatformType","enum":["DATA_PLATFORM_TYPE_UNSPECIFIED","DATA_PLATFORM_TYPE_BIGQUERY","DATA_PLATFORM_TYPE_LOOKER","DATA_PLATFORM_TYPE_DBT","DATA_PLATFORM_TYPE_DBT_CLOUD","DATA_PLATFORM_TYPE_DBT_SELF_HOSTED","DATA_PLATFORM_TYPE_SNOWFLAKE","DATA_PLATFORM_TYPE_GCP","DATA_PLATFORM_TYPE_GIT","DATA_PLATFORM_TYPE_GITHUB","DATA_PLATFORM_TYPE_REDSHIFT","DATA_PLATFORM_TYPE_TABLEAU","DATA_PLATFORM_TYPE_AIRFLOW","DATA_PLATFORM_TYPE_CLICKHOUSE","DATA_PLATFORM_TYPE_POSTGRES","DATA_PLATFORM_TYPE_MYSQL","DATA_PLATFORM_TYPE_DATABRICKS","DATA_PLATFORM_TYPE_SQLMESH","DATA_PLATFORM_TYPE_DUCKDB","DATA_PLATFORM_TYPE_TRINO","DATA_PLATFORM_TYPE_ATLAN","DATA_PLATFORM_TYPE_COALESCE","DATA_PLATFORM_TYPE_CASTORDOC","DATA_PLATFORM_TYPE_FIVETRAN","DATA_PLATFORM_TYPE_DAGSTER","DATA_PLATFORM_TYPE_AIRBYTE","DATA_PLATFORM_TYPE_STITCH","DATA_PLATFORM_TYPE_SNOWPLOW","DATA_PLATFORM_TYPE_POWERBI","DATA_PLATFORM_TYPE_THOUGHTSPOT","DATA_PLATFORM_TYPE_SIGMA","DATA_PLATFORM_TYPE_DOMO","DATA_PLATFORM_TYPE_MSSQL","DATA_PLATFORM_TYPE_ORACLE","DATA_PLATFORM_TYPE_ATHENA","DATA_PLATFORM_TYPE_FABRIC","DATA_PLATFORM_TYPE_DB2","DATA_PLATFORM_TYPE_LOOKER_STUDIO","DATA_PLATFORM_TYPE_HEX","DATA_PLATFORM_TYPE_OMNI","DATA_PLATFORM_TYPE_METABASE","DATA_PLATFORM_TYPE_GOOGLE_SHEETS","DATA_PLATFORM_TYPE_GRAFANA","DATA_PLATFORM_TYPE_STREAMLIT","DATA_PLATFORM_TYPE_ASTRATO","DATA_PLATFORM_TYPE_SNOWFLAKE_CORTEX","DATA_PLATFORM_TYPE_SNOWFLAKE_INTELLIGENCE","DATA_PLATFORM_TYPE_CUBE","DATA_PLATFORM_TYPE_CENSUS","DATA_PLATFORM_TYPE_HIGHTOUCH","DATA_PLATFORM_TYPE_WORKATO","DATA_PLATFORM_TYPE_ESTUARY","DATA_PLATFORM_TYPE_DLT","DATA_PLATFORM_TYPE_TERRAFORM","DATA_PLATFORM_TYPE_HEVO","DATA_PLATFORM_TYPE_DATASTREAM","DATA_PLATFORM_TYPE_QLIK","DATA_PLATFORM_TYPE_SALESFORCE","DATA_PLATFORM_TYPE_SYNQ"],"description":"DATA_PLATFORM_TYPE_UNSPECIFIED is access whose query carried no tool's tag.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].byIssuer.items.[INDEX].issuer","typeLabel":"enum\u003cstring>"},"count":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].byIssuer.items.[INDEX].count.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].byIssuer.items.[INDEX].count.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].byIssuer.items.[INDEX].count","typeLabel":"integer\u003cint64> | string\u003cint64>"}},"title":"IssuerCount","additionalProperties":false,"description":"IssuerCount is one issuing tool's part of a point.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].byIssuer.items.[INDEX]","typeLabel":"IssuerCount · object"},"description":"With SERIES_SPLIT_ISSUER only: each tool's count, highest first, then by issuer.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].byIssuer","typeLabel":"IssuerCount · object[]"},"covered":{"type":"boolean","description":"On an hourly point: whether the hour's query history was read.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].covered","typeLabel":"boolean"},"coveredHours":{"type":"integer","description":"On a daily point: how many of the day's hours were read. A day has 23 or 25 hours when the time\n zone changes its offset.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].coveredHours","typeLabel":"integer"},"partial":{"type":"boolean","description":"On a daily point: the day is not wholly inside the window.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].partial","typeLabel":"boolean"},"missingHours":{"type":"integer","description":"How many of the point's hours are missing from the query history, as QueryHistory counts them:\n 0 or 1 on an hourly point. An hour that was not read and is not missing is one no integration\n has fetched yet.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX].missingHours","typeLabel":"integer"}},"title":"SeriesPoint","additionalProperties":false,"description":"SeriesPoint is one step of a series. A series is dense: a step with nothing counted is a point with\n count 0, and covered or covered_hours say whether it was seen at all.","uniqueKey":"directions.items.[INDEX].daily.items.[INDEX]","typeLabel":"SeriesPoint · object"},"description":"One point per day the window overlaps, in the asked time zone.","uniqueKey":"directions.items.[INDEX].daily","typeLabel":"SeriesPoint · object[]"},"grid":{"type":"object","properties":{"days":{"type":"array","items":{"type":"object","properties":{"isoWeekday":{"type":"integer","description":"1 is Monday, 7 is Sunday.","uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX].isoWeekday","typeLabel":"integer"},"hours":{"type":"array","items":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX].hours.items.[INDEX].oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX].hours.items.[INDEX].oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX].hours.items.[INDEX]","typeLabel":"integer\u003cint64> | string\u003cint64>"},"description":"24 counts, one per local hour.","uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX].hours","typeLabel":"(integer\u003cint64> | string\u003cint64>)[]"},"occurrences":{"type":"integer","description":"How many local dates with this weekday overlap the window, to average by.","uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX].occurrences","typeLabel":"integer"}},"title":"GridDay","additionalProperties":false,"description":"GridDay is one weekday of a weekday and hour grid.","uniqueKey":"directions.items.[INDEX].grid.days.items.[INDEX]","typeLabel":"GridDay · object"},"uniqueKey":"directions.items.[INDEX].grid.days","typeLabel":"GridDay · object[]"}},"title":"WeekGrid","additionalProperties":false,"description":"Unset for a measure reported only per day.","uniqueKey":"directions.items.[INDEX].grid","typeLabel":"WeekGrid · object"}},"title":"DirectionSeries","additionalProperties":false,"description":"DirectionSeries is one direction's access over the window.","uniqueKey":"directions.items.[INDEX]","typeLabel":"DirectionSeries · object"},"description":"The lens's directions, then WRITE, each only when it has counted access.","uniqueKey":"directions","typeLabel":"DirectionSeries · object[]"},"notCounted":{"type":"object","properties":{"coalesceLogins":{"oneOf":[{"type":"integer","format":"int64","description":"Access by the logins Coalesce Quality connects as, on queries that carried no Coalesce Quality\n tag. A tagged query is in coalesce_quality_queries instead.","uniqueKey":"notCounted.coalesceLogins.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Access by the logins Coalesce Quality connects as, on queries that carried no Coalesce Quality\n tag. A tagged query is in coalesce_quality_queries instead.","uniqueKey":"notCounted.coalesceLogins.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"notCounted.coalesceLogins","typeLabel":"integer\u003cint64> | string\u003cint64>"},"writersOwnReads":{"oneOf":[{"type":"integer","format":"int64","description":"Reads by a login of an entity it wrote the same UTC day.","uniqueKey":"notCounted.writersOwnReads.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Reads by a login of an entity it wrote the same UTC day.","uniqueKey":"notCounted.writersOwnReads.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"notCounted.writersOwnReads","typeLabel":"integer\u003cint64> | string\u003cint64>"},"intermediate":{"oneOf":[{"type":"integer","format":"int64","description":"Reads in an hour the entity was an intermediate table.","uniqueKey":"notCounted.intermediate.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Reads in an hour the entity was an intermediate table.","uniqueKey":"notCounted.intermediate.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"notCounted.intermediate","typeLabel":"integer\u003cint64> | string\u003cint64>"},"coalesceQualityQueries":{"oneOf":[{"type":"integer","format":"int64","description":"Coalesce Quality's own queries, on any login, such as a monitor or a SQL test reading the entity.\n Never counted.","uniqueKey":"notCounted.coalesceQualityQueries.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Coalesce Quality's own queries, on any login, such as a monitor or a SQL test reading the entity.\n Never counted.","uniqueKey":"notCounted.coalesceQualityQueries.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"notCounted.coalesceQualityQueries","typeLabel":"integer\u003cint64> | string\u003cint64>"},"excludedByPolicy":{"oneOf":[{"type":"integer","format":"int64","description":"Reads by logins whose service account does not count toward popularity, such as a loader or an\n orchestrator.","uniqueKey":"notCounted.excludedByPolicy.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Reads by logins whose service account does not count toward popularity, such as a loader or an\n orchestrator.","uniqueKey":"notCounted.excludedByPolicy.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"notCounted.excludedByPolicy","typeLabel":"integer\u003cint64> | string\u003cint64>"},"excludedByLens":{"oneOf":[{"type":"integer","format":"int64","description":"Reads the asked lens does not look at, such as a BI tool's reads under DEVELOPMENT, or a dbt\n test's reads under CONSUMPTION.","uniqueKey":"notCounted.excludedByLens.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Reads the asked lens does not look at, such as a BI tool's reads under DEVELOPMENT, or a dbt\n test's reads under CONSUMPTION.","uniqueKey":"notCounted.excludedByLens.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"notCounted.excludedByLens","typeLabel":"integer\u003cint64> | string\u003cint64>"}},"title":"NotCountedActivity","additionalProperties":false,"description":"NotCountedActivity is access a read saw and left out.","uniqueKey":"notCounted","typeLabel":"NotCountedActivity · object"},"queryHistory":{"type":"object","properties":{"missingHours":{"type":"integer","description":"Hours of the window missing for some integration, each counted once.","uniqueKey":"queryHistory.missingHours","typeLabel":"integer"},"pendingFrom":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"From here on, no hour is missing yet. Never later than the window's end.","uniqueKey":"queryHistory.pendingFrom","typeLabel":"string\u003cdate-time>"},"integrations":{"type":"array","items":{"type":"object","properties":{"integrationId":{"type":"string","uniqueKey":"queryHistory.integrations.items.[INDEX].integrationId","typeLabel":"string"},"platform":{"type":"string","title":"DataPlatformType","enum":["DATA_PLATFORM_TYPE_UNSPECIFIED","DATA_PLATFORM_TYPE_BIGQUERY","DATA_PLATFORM_TYPE_LOOKER","DATA_PLATFORM_TYPE_DBT","DATA_PLATFORM_TYPE_DBT_CLOUD","DATA_PLATFORM_TYPE_DBT_SELF_HOSTED","DATA_PLATFORM_TYPE_SNOWFLAKE","DATA_PLATFORM_TYPE_GCP","DATA_PLATFORM_TYPE_GIT","DATA_PLATFORM_TYPE_GITHUB","DATA_PLATFORM_TYPE_REDSHIFT","DATA_PLATFORM_TYPE_TABLEAU","DATA_PLATFORM_TYPE_AIRFLOW","DATA_PLATFORM_TYPE_CLICKHOUSE","DATA_PLATFORM_TYPE_POSTGRES","DATA_PLATFORM_TYPE_MYSQL","DATA_PLATFORM_TYPE_DATABRICKS","DATA_PLATFORM_TYPE_SQLMESH","DATA_PLATFORM_TYPE_DUCKDB","DATA_PLATFORM_TYPE_TRINO","DATA_PLATFORM_TYPE_ATLAN","DATA_PLATFORM_TYPE_COALESCE","DATA_PLATFORM_TYPE_CASTORDOC","DATA_PLATFORM_TYPE_FIVETRAN","DATA_PLATFORM_TYPE_DAGSTER","DATA_PLATFORM_TYPE_AIRBYTE","DATA_PLATFORM_TYPE_STITCH","DATA_PLATFORM_TYPE_SNOWPLOW","DATA_PLATFORM_TYPE_POWERBI","DATA_PLATFORM_TYPE_THOUGHTSPOT","DATA_PLATFORM_TYPE_SIGMA","DATA_PLATFORM_TYPE_DOMO","DATA_PLATFORM_TYPE_MSSQL","DATA_PLATFORM_TYPE_ORACLE","DATA_PLATFORM_TYPE_ATHENA","DATA_PLATFORM_TYPE_FABRIC","DATA_PLATFORM_TYPE_DB2","DATA_PLATFORM_TYPE_LOOKER_STUDIO","DATA_PLATFORM_TYPE_HEX","DATA_PLATFORM_TYPE_OMNI","DATA_PLATFORM_TYPE_METABASE","DATA_PLATFORM_TYPE_GOOGLE_SHEETS","DATA_PLATFORM_TYPE_GRAFANA","DATA_PLATFORM_TYPE_STREAMLIT","DATA_PLATFORM_TYPE_ASTRATO","DATA_PLATFORM_TYPE_SNOWFLAKE_CORTEX","DATA_PLATFORM_TYPE_SNOWFLAKE_INTELLIGENCE","DATA_PLATFORM_TYPE_CUBE","DATA_PLATFORM_TYPE_CENSUS","DATA_PLATFORM_TYPE_HIGHTOUCH","DATA_PLATFORM_TYPE_WORKATO","DATA_PLATFORM_TYPE_ESTUARY","DATA_PLATFORM_TYPE_DLT","DATA_PLATFORM_TYPE_TERRAFORM","DATA_PLATFORM_TYPE_HEVO","DATA_PLATFORM_TYPE_DATASTREAM","DATA_PLATFORM_TYPE_QLIK","DATA_PLATFORM_TYPE_SALESFORCE","DATA_PLATFORM_TYPE_SYNQ"],"description":"The platform whose query history it reads.","uniqueKey":"queryHistory.integrations.items.[INDEX].platform","typeLabel":"enum\u003cstring>"},"instance":{"type":"string","description":"The instance it reads, such as a Snowflake account, spelled as entity ids spell it.","uniqueKey":"queryHistory.integrations.items.[INDEX].instance","typeLabel":"string"},"historyFrom":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"The first hour of its query history. Earlier hours are not missing.","uniqueKey":"queryHistory.integrations.items.[INDEX].historyFrom","typeLabel":"string\u003cdate-time>"},"missingHours":{"type":"integer","description":"Hours of the window, from history_from and before pending_from, that no integration read on its\n instance. Another integration reading the instance in an hour makes the hour not missing.","uniqueKey":"queryHistory.integrations.items.[INDEX].missingHours","typeLabel":"integer"},"missing":{"type":"array","items":{"type":"object","properties":{"from":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"A Timestamp represents a point in time independent of any time zone or local\n calendar, encoded as a count of seconds and fractions of seconds at\n nanosecond resolution. The count is relative to an epoch at UTC midnight on\n January 1, 1970, in the proleptic Gregorian calendar which extends the\n Gregorian calendar backwards to year one.\n\n All minutes are 60 seconds long. Leap seconds are \"smeared\" so that no leap\n second table is needed for interpretation, using a [24-hour linear\n smear](https://developers.google.com/time/smear).\n\n The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By\n restricting to that range, we ensure that we can convert to and from [RFC\n 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings.\n\n # Examples\n\n Example 1: Compute Timestamp from POSIX `time()`.\n\n Timestamp timestamp;\n timestamp.set_seconds(time(NULL));\n timestamp.set_nanos(0);\n\n Example 2: Compute Timestamp from POSIX `gettimeofday()`.\n\n struct timeval tv;\n gettimeofday(\u0026tv, NULL);\n\n Timestamp timestamp;\n timestamp.set_seconds(tv.tv_sec);\n timestamp.set_nanos(tv.tv_usec * 1000);\n\n Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`.\n\n FILETIME ft;\n GetSystemTimeAsFileTime(\u0026ft);\n UINT64 ticks = (((UINT64)ft.dwHighDateTime) \u003c\u003c 32) | ft.dwLowDateTime;\n\n // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z\n // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z.\n Timestamp timestamp;\n timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL));\n timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\n Example 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\n long millis = System.currentTimeMillis();\n\n Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000)\n .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n Example 5: Compute Timestamp from Java `Instant.now()`.\n\n Instant now = Instant.now();\n\n Timestamp timestamp =\n Timestamp.newBuilder().setSeconds(now.getEpochSecond())\n .setNanos(now.getNano()).build();\n\n Example 6: Compute Timestamp from current time in Python.\n\n timestamp = Timestamp()\n timestamp.GetCurrentTime()\n\n # JSON Mapping\n\n In JSON format, the Timestamp type is encoded as a string in the\n [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the\n format is \"{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z\"\n where {year} is always expressed using four digits while {month}, {day},\n {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional\n seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution),\n are optional. The \"Z\" suffix indicates the timezone (\"UTC\"); the timezone\n is required. A proto3 JSON serializer should always use UTC (as indicated by\n \"Z\") when printing the Timestamp type and a proto3 JSON parser should be\n able to accept both UTC and other timezones (as indicated by an offset).\n\n For example, \"2017-01-15T01:30:15.01Z\" encodes 15.01 seconds past\n 01:30 UTC on January 15, 2017.\n\n In JavaScript, one can convert a Date object to this format using the\n standard\n [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString)\n method. In Python, a standard `datetime.datetime` object can be converted\n to this format using\n [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with\n the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use\n the Joda Time's [`ISODateTimeFormat.dateTime()`](\n http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime()\n ) to obtain a formatter capable of generating timestamps in this format.","uniqueKey":"queryHistory.integrations.items.[INDEX].missing.items.[INDEX].from","typeLabel":"string\u003cdate-time>"},"to":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"A Timestamp represents a point in time independent of any time zone or local\n calendar, encoded as a count of seconds and fractions of seconds at\n nanosecond resolution. The count is relative to an epoch at UTC midnight on\n January 1, 1970, in the proleptic Gregorian calendar which extends the\n Gregorian calendar backwards to year one.\n\n All minutes are 60 seconds long. Leap seconds are \"smeared\" so that no leap\n second table is needed for interpretation, using a [24-hour linear\n smear](https://developers.google.com/time/smear).\n\n The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By\n restricting to that range, we ensure that we can convert to and from [RFC\n 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings.\n\n # Examples\n\n Example 1: Compute Timestamp from POSIX `time()`.\n\n Timestamp timestamp;\n timestamp.set_seconds(time(NULL));\n timestamp.set_nanos(0);\n\n Example 2: Compute Timestamp from POSIX `gettimeofday()`.\n\n struct timeval tv;\n gettimeofday(\u0026tv, NULL);\n\n Timestamp timestamp;\n timestamp.set_seconds(tv.tv_sec);\n timestamp.set_nanos(tv.tv_usec * 1000);\n\n Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`.\n\n FILETIME ft;\n GetSystemTimeAsFileTime(\u0026ft);\n UINT64 ticks = (((UINT64)ft.dwHighDateTime) \u003c\u003c 32) | ft.dwLowDateTime;\n\n // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z\n // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z.\n Timestamp timestamp;\n timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL));\n timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\n Example 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\n long millis = System.currentTimeMillis();\n\n Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000)\n .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n Example 5: Compute Timestamp from Java `Instant.now()`.\n\n Instant now = Instant.now();\n\n Timestamp timestamp =\n Timestamp.newBuilder().setSeconds(now.getEpochSecond())\n .setNanos(now.getNano()).build();\n\n Example 6: Compute Timestamp from current time in Python.\n\n timestamp = Timestamp()\n timestamp.GetCurrentTime()\n\n # JSON Mapping\n\n In JSON format, the Timestamp type is encoded as a string in the\n [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the\n format is \"{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z\"\n where {year} is always expressed using four digits while {month}, {day},\n {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional\n seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution),\n are optional. The \"Z\" suffix indicates the timezone (\"UTC\"); the timezone\n is required. A proto3 JSON serializer should always use UTC (as indicated by\n \"Z\") when printing the Timestamp type and a proto3 JSON parser should be\n able to accept both UTC and other timezones (as indicated by an offset).\n\n For example, \"2017-01-15T01:30:15.01Z\" encodes 15.01 seconds past\n 01:30 UTC on January 15, 2017.\n\n In JavaScript, one can convert a Date object to this format using the\n standard\n [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString)\n method. In Python, a standard `datetime.datetime` object can be converted\n to this format using\n [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with\n the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use\n the Joda Time's [`ISODateTimeFormat.dateTime()`](\n http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime()\n ) to obtain a formatter capable of generating timestamps in this format.","uniqueKey":"queryHistory.integrations.items.[INDEX].missing.items.[INDEX].to","typeLabel":"string\u003cdate-time>"}},"title":"HourRange","additionalProperties":false,"description":"HourRange is the hours [from, to).","uniqueKey":"queryHistory.integrations.items.[INDEX].missing.items.[INDEX]","typeLabel":"HourRange · object"},"description":"The same hours, merged into ranges, oldest first.","uniqueKey":"queryHistory.integrations.items.[INDEX].missing","typeLabel":"HourRange · object[]"}},"title":"IntegrationHistory","additionalProperties":false,"description":"IntegrationHistory is the query history one integration read in a window.","uniqueKey":"queryHistory.integrations.items.[INDEX]","typeLabel":"IntegrationHistory · object"},"description":"One per integration whose query history was read in the window, by integration id.","uniqueKey":"queryHistory.integrations","typeLabel":"IntegrationHistory · object[]"}},"title":"QueryHistory","additionalProperties":false,"description":"Why an hour of the window that was not read was not. Each point carries its own missing_hours.","uniqueKey":"queryHistory","typeLabel":"QueryHistory · object"}},"title":"GetEntityActivitySeriesResponse","additionalProperties":false,"uniqueKey":"","typeLabel":"GetEntityActivitySeriesResponse · object"},"examples":{"Example":{"title":"Example","value":{"entityId":"\u003cstring>","from":"2023-01-15T01:30:15.01Z","to":"2023-01-15T01:30:15.01Z","timeZone":"\u003cstring>","directions":[{"direction":"ACTIVITY_DIRECTION_UNSPECIFIED","measure":"ACTIVITY_MEASURE_UNSPECIFIED","total":123,"hourly":[{"start":"2023-01-15T01:30:15.01Z","count":123,"byIssuer":[{"issuer":"DATA_PLATFORM_TYPE_UNSPECIFIED","count":123}],"covered":true,"coveredHours":123,"partial":true,"missingHours":123}],"daily":[{"start":"2023-01-15T01:30:15.01Z","count":123,"byIssuer":[{"issuer":"DATA_PLATFORM_TYPE_UNSPECIFIED","count":123}],"covered":true,"coveredHours":123,"partial":true,"missingHours":123}],"grid":{"days":[{"isoWeekday":123,"hours":[123],"occurrences":123}]}}],"notCounted":{"coalesceLogins":123,"writersOwnReads":123,"intermediate":123,"coalesceQualityQueries":123,"excludedByPolicy":123,"excludedByLens":123},"queryHistory":{"missingHours":123,"pendingFrom":"2023-01-15T01:30:15.01Z","integrations":[{"integrationId":"\u003cstring>","platform":"DATA_PLATFORM_TYPE_UNSPECIFIED","instance":"\u003cstring>","historyFrom":"2023-01-15T01:30:15.01Z","missingHours":123,"missing":[{"from":"2023-01-15T01:30:15.01Z","to":"2023-01-15T01:30:15.01Z"}]}]}}}},"exampleType":"generated"}},"exampleType":"generated"}},"security":{"dd5880af-cdf1-4521-98fa-c871340142d2":{"bearerAuth":{"type":"http","scheme":"bearer","scopes":[],"schemeName":"bearerAuth"}}},"servers":{"669c6e56-9702-4ed2-896e-cea41abbf730":{"url":"https://developer.synq.io"},"9a0b8ed5-0b97-421b-bed5-1f396869feae":{"url":"https://api.us.synq.io"},"d0c655c0-3191-437a-9d11-53da28e361f0":{"url":"https://api.au.synq.io"}},"processedSecurityOptions":[{"schemes":[{"scheme":{"type":"http","scheme":"bearer","scopes":[],"schemeName":"bearerAuth"},"schema":{"title":"Bearer Auth","type":"string","isRequired":true,"description":"Bearer authentication header of the form `Bearer \u003ctoken>`, where `\u003ctoken>` is your auth token.","format":"bearer","typeLabel":"string\u003cbearer>","deprecated":false},"schemeName":"bearerAuth","name":"Authorization"}],"title":"bearerAuth"}]},"originalFileLocation":"api-reference/openapi.yaml"},"subdomain":"synq-15","siteName":"Coalesce Quality Documentation","title":"GetEntityActivitySeries - Coalesce Quality Documentation","navMaps":{"firstHrefInVersion":{},"firstHrefInLanguage":{}},"lastModified":"2026-11-04T18:02:07.203Z","originalFileLocation":"api-reference/synqentitiesactivityv1alphaactivityservice/getentityactivityseries.mdx"},"headHtml":"\u003cscript data-mint-head>(function(){var d=document.documentElement,p=null;if(!p){try{p=localStorage.getItem(\"isDarkMode\")}catch(e){}if(p==='true')p='dark';else if(p==='false')p='light';if(p!=='light'\u0026\u0026p!=='dark'\u0026\u0026p!=='system')p=\"system\"}var r=p==='system'?(matchMedia(\"(prefers-color-scheme: dark)\").matches?'dark':'light'):p;d.classList.remove(r==='dark'?'light':'dark');d.classList.add(r);d.setAttribute(\"data-theme-preference\",p)})();\u003c/script>\u003cmeta data-mint-head name=\"description\" content=\"Read how access to one entity moves over the window: per direction, a point per UTC hour, a point per day in the asked time zone, and a weekday and hour grid. 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