List the workspace’s logins by their share of the workspace’s queries, highest first, then by
their share of its activity. The first page carries a summary of the whole window.
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.
Examples:
"2023-01-15T01:30:15.01Z"
"2024-12-25T12:00:00Z"
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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":"platformUsers.items.[INDEX].lastSeenAt","typeLabel":"string\u003cdate-time>"},"reads":{"oneOf":[{"type":"integer","format":"int64","description":"Reads and writes over the window, Coalesce Quality's own queries left out.","uniqueKey":"platformUsers.items.[INDEX].reads.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"Reads and writes over the window, Coalesce Quality's own queries left out.","uniqueKey":"platformUsers.items.[INDEX].reads.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"platformUsers.items.[INDEX].reads","typeLabel":"integer\u003cint64> | string\u003cint64>"},"writes":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"platformUsers.items.[INDEX].writes.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"platformUsers.items.[INDEX].writes.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"platformUsers.items.[INDEX].writes","typeLabel":"integer\u003cint64> | string\u003cint64>"},"share":{"type":"number","format":"double","description":"Its share of the workspace's reads, inputs and writes in the window, from 0 to 1. It counts\n only queries that touched an entity, so a login whose queries touched none has share 0 and\n can still be active: query_share says how much it ran.","uniqueKey":"platformUsers.items.[INDEX].share","typeLabel":"number\u003cdouble>"},"weights":{"type":"array","items":{"type":"object","properties":{"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":"DATA_PLATFORM_TYPE_UNSPECIFIED is the queries whose platform is not known.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].platform","typeLabel":"enum\u003cstring>"},"computeUnit":{"type":"string","title":"ComputeUnit","enum":["COMPUTE_UNIT_UNSPECIFIED","COMPUTE_UNIT_SNOWFLAKE_XSMALL_WAREHOUSE_MS","COMPUTE_UNIT_BIGQUERY_SLOT_MS","COMPUTE_UNIT_DATABRICKS_TASK_MS"],"description":"What weights.compute_ms counts.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].computeUnit","typeLabel":"enum\u003cstring>"},"weights":{"type":"object","properties":{"executionMs":{"oneOf":[{"type":["integer","string"],"format":"int64","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.executionMs.oneOf.0","typeLabel":"integer"},{"type":"null","format":"int64","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.executionMs.oneOf.1","typeLabel":"null"}],"uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.executionMs","typeLabel":"integer | null"},"computeMs":{"oneOf":[{"type":["integer","string"],"format":"int64","description":"In the unit of the platform the weights are for.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.computeMs.oneOf.0","typeLabel":"integer"},{"type":"null","format":"int64","description":"In the unit of the platform the weights are for.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.computeMs.oneOf.1","typeLabel":"null"}],"uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.computeMs","typeLabel":"integer | null"},"bytesScanned":{"oneOf":[{"type":["integer","string"],"format":"int64","description":"What the queries scanned. Never a cost: a platform can bill differently from what it scanned.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.bytesScanned.oneOf.0","typeLabel":"integer"},{"type":"null","format":"int64","description":"What the queries scanned. Never a cost: a platform can bill differently from what it scanned.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.bytesScanned.oneOf.1","typeLabel":"null"}],"uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.bytesScanned","typeLabel":"integer | null"},"bytesBilled":{"oneOf":[{"type":["integer","string"],"format":"int64","description":"Set only where the platform bills by bytes read.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.bytesBilled.oneOf.0","typeLabel":"integer"},{"type":"null","format":"int64","description":"Set only where the platform bills by bytes read.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.bytesBilled.oneOf.1","typeLabel":"null"}],"uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights.bytesBilled","typeLabel":"integer | null"}},"title":"QueryWeights","additionalProperties":false,"description":"QueryWeights are whole weights summed over queries. An unset figure is one no query reported, and\n zero is a value. Nothing here is a credit or a price.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX].weights","typeLabel":"QueryWeights · object"}},"title":"PlatformWeights","additionalProperties":false,"description":"PlatformWeights are the weights of the queries on one platform.","uniqueKey":"platformUsers.items.[INDEX].weights.items.[INDEX]","typeLabel":"PlatformWeights · object"},"description":"What its queries cost, per platform.","uniqueKey":"platformUsers.items.[INDEX].weights","typeLabel":"PlatformWeights · object[]"},"slices":{"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 the queries with no tool's tag.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].issuer","typeLabel":"enum\u003cstring>"},"classification":{"type":"string","title":"Classification","enum":["CLASSIFICATION_UNSPECIFIED","CLASSIFICATION_PERSON","CLASSIFICATION_SERVICE_ACCOUNT","CLASSIFICATION_BUILT_IN","CLASSIFICATION_COALESCE","CLASSIFICATION_UNCLASSIFIED"],"description":"Classification is how a login reads, in one word.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].classification","typeLabel":"enum\u003cstring>"},"serviceAccounts":{"type":"array","items":{"type":"object","properties":{"serviceAccountId":{"type":"string","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].serviceAccounts.items.[INDEX].serviceAccountId","typeLabel":"string"},"kind":{"type":"string","title":"MatchKind","enum":["MATCH_KIND_UNSPECIFIED","MATCH_KIND_EXACT","MATCH_KIND_MATCHER","MATCH_KIND_BUILT_IN"],"description":"MatchKind is why a slice is in a service account.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].serviceAccounts.items.[INDEX].kind","typeLabel":"enum\u003cstring>"},"matcherId":{"type":"string","description":"The matcher that took the slice, for MATCHER and EXACT.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].serviceAccounts.items.[INDEX].matcherId","typeLabel":"string"}},"title":"SliceMembership","additionalProperties":false,"description":"SliceMembership is one service account a login slice is in, and why.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].serviceAccounts.items.[INDEX]","typeLabel":"SliceMembership · object"},"description":"Every service account the slice is in, the first one deciding where its queries are grouped.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].serviceAccounts","typeLabel":"SliceMembership · object[]"},"person":{"type":"object","properties":{"identity":{"type":"string","description":"Such as `email:jane@example.com`, to resolve with synq.users.v1.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].person.identity","typeLabel":"string"},"personLinkId":{"type":"string","description":"The person link that made it, empty when it is the email the platform states or a login the\n platform spells as the person's email.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].person.personLinkId","typeLabel":"string"}},"title":"SlicePerson","additionalProperties":false,"description":"For a PERSON slice.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].person","typeLabel":"SlicePerson · object"},"countsTowardPopularity":{"type":"boolean","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].countsTowardPopularity","typeLabel":"boolean"},"listedAsFrequentUser":{"type":"boolean","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].listedAsFrequentUser","typeLabel":"boolean"},"lastSeenAt":{"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":"platformUsers.items.[INDEX].slices.items.[INDEX].lastSeenAt","typeLabel":"string\u003cdate-time>"},"signals":{"type":"object","properties":{"issuerShare":{"type":"number","format":"double","description":"Its share of the login's queries in the window, from 0 to 1.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.issuerShare","typeLabel":"number\u003cdouble>"},"reads":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.reads.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.reads.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.reads","typeLabel":"integer\u003cint64> | string\u003cint64>"},"inputs":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.inputs.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.inputs.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.inputs","typeLabel":"integer\u003cint64> | string\u003cint64>"},"writes":{"oneOf":[{"type":"integer","format":"int64","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.writes.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.writes.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.writes","typeLabel":"integer\u003cint64> | string\u003cint64>"},"activeDays":{"type":"integer","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.activeDays","typeLabel":"integer"},"distinctEntities":{"type":"integer","description":"The distinct entities it touched, and wrote.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.distinctEntities","typeLabel":"integer"},"writtenEntities":{"type":"integer","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.writtenEntities","typeLabel":"integer"},"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":"How often it writes.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.writeCadence","typeLabel":"enum\u003cstring>"},"readHours":{"type":"integer","description":"The distinct hours it read in, how many of the 24 hours of a day they fall in, and the median gap\n in hours between them, 0 with fewer than two.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.readHours","typeLabel":"integer"},"readHoursOfDay":{"type":"integer","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.readHoursOfDay","typeLabel":"integer"},"medianReadGapHours":{"type":"number","format":"double","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.medianReadGapHours","typeLabel":"number\u003cdouble>"},"loadShare":{"type":"number","format":"double","description":"The share of its queries that load files or move them on a stage, from 0 to 1.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals.loadShare","typeLabel":"number\u003cdouble>"}},"title":"SliceSignals","additionalProperties":false,"description":"With view FULL only.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX].signals","typeLabel":"SliceSignals · object"}},"title":"LoginSlice","additionalProperties":false,"description":"LoginSlice is the queries of one login that one tool issued, from the tag on each query, or the\n queries with no tag. Each slice is classified on its own.","uniqueKey":"platformUsers.items.[INDEX].slices.items.[INDEX]","typeLabel":"LoginSlice · object"},"description":"One per slice, by issuer.","uniqueKey":"platformUsers.items.[INDEX].slices","typeLabel":"LoginSlice · object[]"},"identities":{"type":"array","items":{"type":"string","uniqueKey":"platformUsers.items.[INDEX].identities.items.[INDEX]","typeLabel":"string"},"description":"The platform_user_id always, which starts with `platform_user:`, and `email:\u003caddress>` when an\n integration lists an email for a login that is not a service kind.","uniqueKey":"platformUsers.items.[INDEX].identities","typeLabel":"string[]"},"evidence":{"type":"array","items":{"type":"object","properties":{"kind":{"type":"string","title":"EvidenceKind","enum":["EVIDENCE_KIND_UNSPECIFIED","EVIDENCE_KIND_TOOL_MARKER","EVIDENCE_KIND_NAME_PATTERN","EVIDENCE_KIND_PLATFORM_KIND","EVIDENCE_KIND_FOOTPRINT","EVIDENCE_KIND_WRITE_CADENCE","EVIDENCE_KIND_EMAIL","EVIDENCE_KIND_READ_CADENCE","EVIDENCE_KIND_LOAD_OPERATIONS","EVIDENCE_KIND_NAME_TOKEN","EVIDENCE_KIND_PERSON_NAME","EVIDENCE_KIND_BROAD_REACH"],"description":"EvidenceKind is a kind of hint about what a login is.","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX].kind","typeLabel":"enum\u003cstring>"},"platformUserId":{"type":"string","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX].platformUserId","typeLabel":"string"},"login":{"type":"string","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX].login","typeLabel":"string"},"values":{"type":"array","items":{"type":"string","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX].values.items.[INDEX]","typeLabel":"string"},"description":"What the evidence names: the tool, the pattern, the kind, the cadence, the reach or the email.","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX].values","typeLabel":"string[]"},"text":{"type":"string","description":"One line for a person, such as \"99% Looker Studio queries\" or \"writes every hour\".","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX].text","typeLabel":"string"}},"title":"Evidence","additionalProperties":false,"description":"Evidence is one hint about what a login is.","uniqueKey":"platformUsers.items.[INDEX].evidence.items.[INDEX]","typeLabel":"Evidence · object"},"uniqueKey":"platformUsers.items.[INDEX].evidence","typeLabel":"Evidence · object[]"},"suggested":{"type":"boolean","description":"A service account suggestion includes the login.","uniqueKey":"platformUsers.items.[INDEX].suggested","typeLabel":"boolean"},"queries":{"oneOf":[{"type":"integer","format":"int64","description":"The queries it ran in the window, whatever they touched, Coalesce Quality's own queries left\n out.","uniqueKey":"platformUsers.items.[INDEX].queries.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","format":"int64","description":"The queries it ran in the window, whatever they touched, Coalesce Quality's own queries left\n out.","uniqueKey":"platformUsers.items.[INDEX].queries.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"platformUsers.items.[INDEX].queries","typeLabel":"integer\u003cint64> | string\u003cint64>"},"queryShare":{"type":"number","format":"double","description":"Its share of the workspace's queries in the window, from 0 to 1, Coalesce Quality's own\n queries left out. Unlike share, it counts queries that touched no entity.","uniqueKey":"platformUsers.items.[INDEX].queryShare","typeLabel":"number\u003cdouble>"}},"title":"PlatformUser","additionalProperties":false,"description":"PlatformUser is one login on one platform instance.","uniqueKey":"platformUsers.items.[INDEX]","typeLabel":"PlatformUser · object"},"uniqueKey":"platformUsers","typeLabel":"PlatformUser · object[]"},"summary":{"type":"object","properties":{"classifiedShare":{"type":"number","format":"double","description":"The share of the workspace's reads, inputs and writes in the window whose login is\n classified, from 0 to 1. It is 0 when there are none to divide, as with active_logins 0 or\n when the active logins' queries touched no entity, and the share then says nothing.","uniqueKey":"summary.classifiedShare","typeLabel":"number\u003cdouble>"},"countedShare":{"type":"number","format":"double","description":"The share of the workspace's reads that count toward popularity, from 0 to 1. It is 0 when\n there are no reads, so with active_logins 0 it says nothing either.","uniqueKey":"summary.countedShare","typeLabel":"number\u003cdouble>"},"unclassifiedLogins":{"type":"integer","description":"The active logins with a slice no service account takes and no person link or email links.","uniqueKey":"summary.unclassifiedLogins","typeLabel":"integer"},"suggestedLogins":{"type":"integer","description":"The active logins a service account suggestion includes.","uniqueKey":"summary.suggestedLogins","typeLabel":"integer"},"logins":{"type":"integer","description":"Every login, active or not.","uniqueKey":"summary.logins","typeLabel":"integer"},"activeLogins":{"type":"integer","description":"The logins that ran queries in the window other than Coalesce Quality's own, whatever the\n queries touched.","uniqueKey":"summary.activeLogins","typeLabel":"integer"}},"title":"PlatformUsersSummary","additionalProperties":false,"description":"On the first page only.","uniqueKey":"summary","typeLabel":"PlatformUsersSummary · object"},"pageInfo":{"type":"object","properties":{"totalCount":{"type":"integer","format":"int32","description":"Total number of items matching the request. May not be available for cursor-based pagination\n where the total is unknown or expensive to compute.\n Deprecated: most of the APIs which require pagination don't know the total count.","deprecated":true,"uniqueKey":"pageInfo.totalCount","typeLabel":"integer\u003cint32>"},"count":{"type":"integer","format":"int32","description":"Number of items returned in this response.","uniqueKey":"pageInfo.count","typeLabel":"integer\u003cint32>"},"lastId":{"type":"string","description":"Opaque cursor token for fetching the next page of results. Pass this value as the cursor\n in the next Pagination request to continue pagination. Empty if there are no more pages.","uniqueKey":"pageInfo.lastId","typeLabel":"string"}},"title":"PageInfo","additionalProperties":false,"uniqueKey":"pageInfo","typeLabel":"PageInfo · 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>"}},"title":"ListPlatformUsersResponse","additionalProperties":false,"uniqueKey":"","typeLabel":"ListPlatformUsersResponse · object"},"examples":{"Example":{"title":"Example","value":{"platformUsers":[{"platformUserId":"\u003cstring>","name":"\u003cstring>","platform":"DATA_PLATFORM_TYPE_UNSPECIFIED","platformRootEntityId":"\u003cstring>","sources":[{"source":"\u003cstring>","userType":"\u003cstring>","email":"\u003cstring>","displayName":"\u003cstring>","coalesceLogin":true,"coalesceLoginCurrent":true,"stateAt":"2023-01-15T01:30:15.01Z"}],"classification":"CLASSIFICATION_UNSPECIFIED","lastSeenAt":"2023-01-15T01:30:15.01Z","reads":123,"writes":123,"share":123,"weights":[{"platform":"DATA_PLATFORM_TYPE_UNSPECIFIED","computeUnit":"COMPUTE_UNIT_UNSPECIFIED","weights":{"executionMs":"\u003cunknown>","computeMs":"\u003cunknown>","bytesScanned":"\u003cunknown>","bytesBilled":"\u003cunknown>"}}],"slices":[{"issuer":"DATA_PLATFORM_TYPE_UNSPECIFIED","classification":"CLASSIFICATION_UNSPECIFIED","serviceAccounts":[{"serviceAccountId":"\u003cstring>","kind":"MATCH_KIND_UNSPECIFIED","matcherId":"\u003cstring>"}],"person":{"identity":"\u003cstring>","personLinkId":"\u003cstring>"},"countsTowardPopularity":true,"listedAsFrequentUser":true,"lastSeenAt":"2023-01-15T01:30:15.01Z","signals":{"issuerShare":123,"reads":123,"inputs":123,"writes":123,"activeDays":123,"distinctEntities":123,"writtenEntities":123,"writeCadence":"WRITE_CADENCE_UNSPECIFIED","readHours":123,"readHoursOfDay":123,"medianReadGapHours":123,"loadShare":123}}],"identities":["\u003cstring>"],"evidence":[{"kind":"EVIDENCE_KIND_UNSPECIFIED","platformUserId":"\u003cstring>","login":"\u003cstring>","values":["\u003cstring>"],"text":"\u003cstring>"}],"suggested":true,"queries":123,"queryShare":123}],"summary":{"classifiedShare":123,"countedShare":123,"unclassifiedLogins":123,"suggestedLogins":123,"logins":123,"activeLogins":123},"pageInfo":{"totalCount":123,"count":123,"lastId":"\u003cstring>"},"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":"ListPlatformUsers - Coalesce Quality Documentation","navMaps":{"firstHrefInVersion":{},"firstHrefInLanguage":{}},"lastModified":"2026-11-03T14:46:43.345Z","originalFileLocation":"api-reference/synqentitiesplatformusersv1alphaplatformusersservice/listplatformusers.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=\"List the workspace\u0026#x27;s logins by their share of the workspace\u0026#x27;s queries, highest first, then by their share of its activity. 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