Read how popular each asked entity is over the window: its counted reads and writes per measure,
and its rank in each pool it has reads in. An entity is answered with the entities it is the same
as, such as a dbt model and the table it builds. Every asked id has an answer, an empty one when
nothing counted.
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.
The end of the window the ranks were computed for, exclusive, when it differs from to: the ranks
of the default window are computed once a day, for the window ending at 00:00 UTC.
Why an hour of the window that was not read was not. Warn about its missing_hours only:
covered_hours short of the window is normal for its newest hours and for a new integration.
Show child attributes
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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":"entities.items.[INDEX].measures.items.[INDEX].lastReadAt","typeLabel":"string\u003cdate-time>"},"writes":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].writes.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].writes.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].writes","typeLabel":"integer\u003cint64> | string\u003cint64>"},"writerLogins":{"type":"integer","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].writerLogins","typeLabel":"integer"},"lastWrittenAt":{"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":"entities.items.[INDEX].measures.items.[INDEX].lastWrittenAt","typeLabel":"string\u003cdate-time>"},"writeCadence":{"type":"string","title":"WriteCadence","enum":["WRITE_CADENCE_UNSPECIFIED","WRITE_CADENCE_NONE","WRITE_CADENCE_ONCE","WRITE_CADENCE_HOURLY","WRITE_CADENCE_SUB_DAILY","WRITE_CADENCE_DAILY","WRITE_CADENCE_WEEKLY","WRITE_CADENCE_RARE"],"description":"WriteCadence is how often something wrote an entity in the window, from the median gap between the\n hours with writes. It is not freshness.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].writeCadence","typeLabel":"enum\u003cstring>"},"memberEntityIds":{"type":"array","items":{"type":"string","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].memberEntityIds.items.[INDEX]","typeLabel":"string"},"description":"The entities the same as the asked one whose access answered.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].memberEntityIds","typeLabel":"string[]"},"ranks":{"type":"array","items":{"type":"object","properties":{"pool":{"type":"string","title":"PopularityPool","enum":["POPULARITY_POOL_UNSPECIFIED","POPULARITY_POOL_SYSTEM","POPULARITY_POOL_PLATFORM","POPULARITY_POOL_WORKSPACE"],"description":"PopularityPool is what a rank compares an entity with.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].pool","typeLabel":"enum\u003cstring>"},"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 and instance the pool is on, as far as the pool names them.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].platform","typeLabel":"enum\u003cstring>"},"instance":{"type":"string","maxLength":2048,"uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].instance","typeLabel":"string"},"reads":{"oneOf":[{"type":"integer","format":"int64","description":"The entity's reads in this pool.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].reads.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"The entity's reads in this pool.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].reads.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].reads","typeLabel":"integer\u003cint64> | string\u003cint64>"},"percentile":{"type":"number","format":"double","description":"The share of the pool's other entities with fewer reads, from 0 to 1. Entities with equal reads\n share the lower place, and the only entity of a pool has 1.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].percentile","typeLabel":"number\u003cdouble>"},"poolSize":{"type":"integer","description":"The entities in the pool: those with counted reads in the window.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX].poolSize","typeLabel":"integer"}},"title":"PoolRank","additionalProperties":false,"description":"PoolRank is an entity's place in one pool.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks.items.[INDEX]","typeLabel":"PoolRank · object"},"description":"The entity's rank in each pool of the asked kind where it has reads. Empty when it has none.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].ranks","typeLabel":"PoolRank · object[]"},"readings":{"type":"array","items":{"type":"object","properties":{"shape":{"type":"string","title":"ActivityShape","enum":["ACTIVITY_SHAPE_UNSPECIFIED","ACTIVITY_SHAPE_INTERVAL","ACTIVITY_SHAPE_CUMULATIVE","ACTIVITY_SHAPE_TRAILING_WINDOW","ACTIVITY_SHAPE_LATEST_VALUE"],"description":"TRAILING_WINDOW or LATEST_VALUE.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].shape","typeLabel":"enum\u003cstring>"},"windowDays":{"type":"integer","description":"M of \"N in the last M days\". Zero for a LATEST_VALUE reading.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].windowDays","typeLabel":"integer"},"count":{"oneOf":[{"type":"integer","format":"int64","description":"N.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].count.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"N.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].count.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].count","typeLabel":"integer\u003cint64> | string\u003cint64>"},"observedAt":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"When the figure was read from the platform.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].observedAt","typeLabel":"string\u003cdate-time>"},"direction":{"type":"string","title":"ActivityDirection","enum":["ACTIVITY_DIRECTION_UNSPECIFIED","ACTIVITY_DIRECTION_READ","ACTIVITY_DIRECTION_INPUT","ACTIVITY_DIRECTION_WRITE"],"description":"ActivityDirection is how a query touched an entity.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX].direction","typeLabel":"enum\u003cstring>"}},"title":"CurrentReading","additionalProperties":false,"description":"CurrentReading is a platform's own current figure for an entity, such as \"40 views in the last 28\n days\". Compare it only with readings of the same shape and window.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings.items.[INDEX]","typeLabel":"CurrentReading · object"},"description":"The platform's own current figures for the entity, one per direction, shape and window. They are\n not in reads or writes: a trailing window or a latest value cannot be split into the hours of the\n window.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX].readings","typeLabel":"CurrentReading · object[]"}},"title":"MeasurePopularity","additionalProperties":false,"description":"MeasurePopularity is one measure's answer. For RUNS, writes is the runs of what builds the entity,\n each counted once whatever orchestrators ran it, last_written_at the last run and write_cadence how\n often it runs. RUNS has no reads, no logins and no ranks.","uniqueKey":"entities.items.[INDEX].measures.items.[INDEX]","typeLabel":"MeasurePopularity · object"},"description":"One per measure with counted reads or writes, or with a current reading, in measure order.","uniqueKey":"entities.items.[INDEX].measures","typeLabel":"MeasurePopularity · 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":"entities.items.[INDEX].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":"entities.items.[INDEX].notCounted.coalesceLogins.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].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":"entities.items.[INDEX].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":"entities.items.[INDEX].notCounted.writersOwnReads.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].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":"entities.items.[INDEX].notCounted.intermediate.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Reads in an hour the entity was an intermediate table.","uniqueKey":"entities.items.[INDEX].notCounted.intermediate.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].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":"entities.items.[INDEX].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":"entities.items.[INDEX].notCounted.coalesceQualityQueries.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].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":"entities.items.[INDEX].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":"entities.items.[INDEX].notCounted.excludedByPolicy.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].notCounted.excludedByPolicy","typeLabel":"integer\u003cint64> | string\u003cint64>"},"excludedByLens":{"oneOf":[{"type":"integer","format":"int64","description":"Access the asked lens does not look at, such as a BI tool's reads under DEVELOPMENT.","uniqueKey":"entities.items.[INDEX].notCounted.excludedByLens.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Access the asked lens does not look at, such as a BI tool's reads under DEVELOPMENT.","uniqueKey":"entities.items.[INDEX].notCounted.excludedByLens.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].notCounted.excludedByLens","typeLabel":"integer\u003cint64> | string\u003cint64>"}},"title":"NotCountedActivity","additionalProperties":false,"description":"Access the read saw and did not count.","uniqueKey":"entities.items.[INDEX].notCounted","typeLabel":"NotCountedActivity · object"}},"title":"EntityPopularity","additionalProperties":false,"uniqueKey":"entities.items.[INDEX]","typeLabel":"EntityPopularity · object"},"description":"One per distinct asked id, in the order each was first asked.","uniqueKey":"entities","typeLabel":"EntityPopularity · object[]"},"from":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"The window read, [from, to).","uniqueKey":"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":"to","typeLabel":"string\u003cdate-time>"},"coveredHours":{"type":"integer","description":"Hours of the window whose query history was read. An hour that was not read counts nothing either\n way.","uniqueKey":"coveredHours","typeLabel":"integer"},"ranksUnavailable":{"type":"boolean","description":"Set when the ranks could not be computed. The counts are still served, and every rank list is\n empty.","uniqueKey":"ranksUnavailable","typeLabel":"boolean"},"ranksPending":{"type":"boolean","description":"Set when the ranks of the default window are not ready for every asked entity yet. The counts are\n served, and an entity has no ranks until they are.","uniqueKey":"ranksPending","typeLabel":"boolean"},"ranksWindowTo":{"type":"string","examples":["2023-01-15T01:30:15.01Z","2024-12-25T12:00:00Z"],"format":"date-time","description":"The end of the window the ranks were computed for, exclusive, when it differs from to: the ranks\n of the default window are computed once a day, for the window ending at 00:00 UTC.","uniqueKey":"ranksWindowTo","typeLabel":"string\u003cdate-time>"},"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. Warn about its missing_hours only:\n covered_hours short of the window is normal for its newest hours and for a new integration.","uniqueKey":"queryHistory","typeLabel":"QueryHistory · object"}},"title":"BatchGetPopularityResponse","additionalProperties":false,"uniqueKey":"","typeLabel":"BatchGetPopularityResponse · object"},"examples":{"Example":{"title":"Example","value":{"entities":[{"entityId":"\u003cstring>","measures":[{"measure":"ACTIVITY_MEASURE_UNSPECIFIED","reads":123,"readerLogins":123,"lastReadAt":"2023-01-15T01:30:15.01Z","writes":123,"writerLogins":123,"lastWrittenAt":"2023-01-15T01:30:15.01Z","writeCadence":"WRITE_CADENCE_UNSPECIFIED","memberEntityIds":["\u003cstring>"],"ranks":[{"pool":"POPULARITY_POOL_UNSPECIFIED","platform":"DATA_PLATFORM_TYPE_UNSPECIFIED","instance":"\u003cstring>","reads":123,"percentile":123,"poolSize":123}],"readings":[{"shape":"ACTIVITY_SHAPE_UNSPECIFIED","windowDays":123,"count":123,"observedAt":"2023-01-15T01:30:15.01Z","direction":"ACTIVITY_DIRECTION_UNSPECIFIED"}]}],"notCounted":{"coalesceLogins":123,"writersOwnReads":123,"intermediate":123,"coalesceQualityQueries":123,"excludedByPolicy":123,"excludedByLens":123}}],"from":"2023-01-15T01:30:15.01Z","to":"2023-01-15T01:30:15.01Z","coveredHours":123,"ranksUnavailable":true,"ranksPending":true,"ranksWindowTo":"2023-01-15T01:30:15.01Z","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":{"61e93b3c-fe00-43a1-8839-3e0484069820":{"bearerAuth":{"type":"http","scheme":"bearer","scopes":[],"schemeName":"bearerAuth"}}},"servers":{"af3e8b55-dcb3-4c6a-a715-fe723a87af16":{"url":"https://developer.synq.io"},"e05d70ab-5e8c-421e-b544-6e385c78911b":{"url":"https://api.us.synq.io"},"dc8fa17f-5319-4412-afe6-0fd5b656a802":{"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":"BatchGetPopularity - Coalesce Quality Documentation","navMaps":{"firstHrefInVersion":{},"firstHrefInLanguage":{}},"lastModified":"2026-11-03T14:46:42.883Z","originalFileLocation":"api-reference/synqentitiesactivityv1alphaactivityservice/batchgetpopularity.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 popular each asked entity is over the window: its counted reads and writes per measure, and its rank in each pool it has reads in. 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