Read how each asked entity is used over the window, in one line: what loads it, what runs and
builds it, what else writes it, and who reads it, such as “loaded by Fivetran, orchestrated by
Airflow, transformed by dbt, read by Looker Studio, 3 people and 12 logins”. Each role names its actor at
the most precise level known: a job or app, else a service account, else the tool. It answers
“what runs this” for a table or a model, and GetActorSummary answers “what this job runs”. It
names tools, jobs and service accounts, never a login.
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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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.","title":"last_seen_at","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.0.lastSeenAt","typeLabel":"string\u003cdate-time>"},"cadence":{"type":"string","title":"cadence","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 the actor did it in the window. NONE for IDENTITY and DECLARED.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.0.cadence","typeLabel":"enum\u003cstring>"},"countsForPopularity":{"type":"boolean","title":"counts_for_popularity","description":"On a READ or REVERSE_ETL role: whether some of its reads count toward popularity. False when the\n service account's popularity policy leaves them all out, and always false on the other roles.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.0.countsForPopularity","typeLabel":"boolean"},"more":{"type":"integer","title":"more","description":"How many roles of this kind top_k cut, set on the last one kept.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.0.more","typeLabel":"integer"}},"additionalProperties":false,"uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.0","typeLabel":"UsageRole · object"},{"type":"object","title":"UsageRole","description":"UsageRole is one actor in one role of an entity. Coalesce Quality's own queries are never a role.","required":["serviceAccountId"],"properties":{"serviceAccountId":{"type":"string","title":"service_account_id","description":"For SERVICE_ACCOUNT: the service account, a built-in one included.","isRequired":true,"uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.serviceAccountId","typeLabel":"string"},"role":{"type":"string","title":"role","enum":["USAGE_ROLE_KIND_UNSPECIFIED","USAGE_ROLE_KIND_LOADED","USAGE_ROLE_KIND_ORCHESTRATED","USAGE_ROLE_KIND_TRANSFORMED","USAGE_ROLE_KIND_WRITTEN","USAGE_ROLE_KIND_READ","USAGE_ROLE_KIND_REVERSE_ETL"],"description":"UsageRoleKind is what an actor does to an entity, in the order to draw them in, left to right.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.role","typeLabel":"enum\u003cstring>"},"level":{"type":"string","title":"level","enum":["USAGE_LEVEL_UNSPECIFIED","USAGE_LEVEL_ENTITY","USAGE_LEVEL_SERVICE_ACCOUNT","USAGE_LEVEL_TOOL","USAGE_LEVEL_PEOPLE","USAGE_LEVEL_UNKNOWN","USAGE_LEVEL_LOGINS"],"description":"UsageLevel is how precisely a role names its actor, most precise first. A role with an ENTITY or a\n SERVICE_ACCOUNT row has no TOOL row for the same tool.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.level","typeLabel":"enum\u003cstring>"},"issuer":{"type":"string","title":"issuer","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 tool, such as Fivetran, Airflow, dbt or Looker Studio. Unspecified on a PEOPLE, LOGINS or\n UNKNOWN role, and on a service account whose queries name no tool.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.issuer","typeLabel":"enum\u003cstring>"},"builtIn":{"type":"boolean","title":"built_in","description":"Set when service_account_id names a built-in account.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.builtIn","typeLabel":"boolean"},"entityId":{"type":"string","title":"entity_id","description":"For a service account, its entity id, which resolves to its name like any other entity.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.entityId","typeLabel":"string"},"evidence":{"type":"string","title":"evidence","enum":["USAGE_EVIDENCE_UNSPECIFIED","USAGE_EVIDENCE_IDENTITY","USAGE_EVIDENCE_RUNS","USAGE_EVIDENCE_QUERIES","USAGE_EVIDENCE_VIEWS","USAGE_EVIDENCE_DECLARED"],"description":"UsageEvidence is what a role was learned from, and what its count counts.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.evidence","typeLabel":"enum\u003cstring>"},"count":{"oneOf":[{"type":"integer","title":"count","format":"int64","description":"Runs, writes or reads, as evidence says. 0 for IDENTITY and DECLARED.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.count.oneOf.0","typeLabel":"integer\u003cint64>"},{"type":"string","title":"count","format":"int64","description":"Runs, writes or reads, as evidence says. 0 for IDENTITY and DECLARED.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.count.oneOf.1","typeLabel":"string\u003cint64>"}],"uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.count","typeLabel":"integer\u003cint64> | string\u003cint64>"},"actors":{"type":"integer","title":"actors","description":"The people behind a PEOPLE role, a person once however many logins they used, or the logins\n behind a LOGINS role.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.actors","typeLabel":"integer"},"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.","title":"last_seen_at","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.lastSeenAt","typeLabel":"string\u003cdate-time>"},"cadence":{"type":"string","title":"cadence","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 the actor did it in the window. NONE for IDENTITY and DECLARED.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.cadence","typeLabel":"enum\u003cstring>"},"countsForPopularity":{"type":"boolean","title":"counts_for_popularity","description":"On a READ or REVERSE_ETL role: whether some of its reads count toward popularity. False when the\n service account's popularity policy leaves them all out, and always false on the other roles.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.countsForPopularity","typeLabel":"boolean"},"more":{"type":"integer","title":"more","description":"How many roles of this kind top_k cut, set on the last one kept.","uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1.more","typeLabel":"integer"}},"additionalProperties":false,"uniqueKey":"entities.items.[INDEX].roles.items.[INDEX].oneOf.1","typeLabel":"UsageRole · object"}],"uniqueKey":"entities.items.[INDEX].roles.items.[INDEX]","typeLabel":"UsageRole · object"},"description":"In role order, then by count, highest first.","uniqueKey":"entities.items.[INDEX].roles","typeLabel":"UsageRole · object[]"},"coveredHours":{"type":"integer","description":"Hours of the window whose query history was read. An hour that was not read counts nothing.","uniqueKey":"entities.items.[INDEX].coveredHours","typeLabel":"integer"},"windowHours":{"type":"integer","description":"The hours of the window.","uniqueKey":"entities.items.[INDEX].windowHours","typeLabel":"integer"}},"title":"EntityUsage","additionalProperties":false,"description":"EntityUsage is how one entity is used. An entity is answered with the entities it is the same as,\n such as a dbt model and the table it builds, and with the other side of a share, so asking for\n the model or for its table gives the same roles.","uniqueKey":"entities.items.[INDEX]","typeLabel":"EntityUsage · object"},"description":"One per distinct asked id, in the order each was first asked.","uniqueKey":"entities","typeLabel":"EntityUsage · 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":"BatchGetEntityUsageResponse","additionalProperties":false,"uniqueKey":"","typeLabel":"BatchGetEntityUsageResponse · object"},"examples":{"Example":{"title":"Example","value":{"entities":[{"entityId":"\u003cstring>","roles":[{"issuerEntityId":"\u003cstring>","role":"USAGE_ROLE_KIND_UNSPECIFIED","level":"USAGE_LEVEL_UNSPECIFIED","issuer":"DATA_PLATFORM_TYPE_UNSPECIFIED","builtIn":true,"entityId":"\u003cstring>","evidence":"USAGE_EVIDENCE_UNSPECIFIED","count":123,"actors":123,"lastSeenAt":"2023-01-15T01:30:15.01Z","cadence":"WRITE_CADENCE_UNSPECIFIED","countsForPopularity":true,"more":123}],"coveredHours":123,"windowHours":123}],"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":"BatchGetEntityUsage - Coalesce Quality Documentation","navMaps":{"firstHrefInVersion":{},"firstHrefInLanguage":{}},"lastModified":"2026-11-04T18:02:07.232Z","originalFileLocation":"api-reference/synqentitiesactivityv1alphaactivityservice/batchgetentityusage.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 each asked entity is used over the window, in one line: what loads it, what runs and builds it, what else writes it, and who reads it, such as \u0026quot;loaded by Fivetran, orchestrated by Airflow, transformed by dbt, read by Looker Studio, 3 people and 12 logins\u0026quot;. 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