다음은 Realtime Reporting API 메서드의 기능에 대한 개요입니다. 자세히 알아보겠습니다 API에 대한 자세한 내용은 API 참조
이벤트 Google에 전송되고 몇 초 후에 실시간 보고서에 표시됩니다. 분석 실시간 보고서에는 특정 기간의 이벤트 및 사용 데이터가 표시됩니다. 현재 순간부터 30분 전 (Google의 경우 최대 60분)까지 애널리틱스 360 속성)에 사용할 수 있으며, 실시간 스트리밍과 같은 애플리케이션에 웹사이트 방문자 카운터
실시간 보고서는 측정기준 및 측정항목의 제한된 하위 집합을 지원합니다. 를 Data API v1의 핵심 보고서 기능과 비교합니다.
핵심 보고서와 공유 기능
실시간 보고서 요청은 다음의 핵심 보고서 요청과 의미가 동일합니다. 많은 공유 기능을 제공합니다 예: 페이지로 나누기, 측정기준 필터 사용자 속성은 동일하고 실시간 보고서에 핵심 보고서로 표시됩니다. 다음 내용을 숙지하시기 바랍니다. Data API v1의 핵심 보고서 기능 개요, 이 문서의 나머지 부분에서는 실시간 보고서 요청입니다.
신고 요청
실시간 보고서를 요청하려면 RunRealtimeReportRequest 객체를 지정합니다. 다음 요청 매개변수로 시작하는 것이 좋습니다.
다음은 추천 필드가 포함된 샘플 요청입니다.
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runRealtimeReport
{
"dimensions": [{ "name": "country" }],
"metrics": [{ "name": "activeUsers" }]
}
자바
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.DimensionHeader; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.MetricHeader; import com.google.analytics.data.v1beta.Row; import com.google.analytics.data.v1beta.RunRealtimeReportRequest; import com.google.analytics.data.v1beta.RunRealtimeReportResponse; /** * Google Analytics Data API sample application demonstrating the creation of a realtime report. * * <p>See * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport * for more information. * * <p>Before you start the application, please review the comments starting with "TODO(developer)" * and update the code to use correct values. * * <p>To run this sample using Maven: * * <pre>{@code * cd google-analytics-data * mvn compile exec:java -Dexec.mainClass="com.google.analytics.data.samples.RunRealtimeReportSample" * }</pre> */ public class RunRealtimeReportSample { public static void main(String... args) throws Exception { // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample. String propertyId = "YOUR-GA4-PROPERTY-ID"; sampleRunRealtimeReport(propertyId); } // Runs a realtime report on a Google Analytics 4 property. static void sampleRunRealtimeReport(String propertyId) throws Exception { // Initialize client that will be used to send requests. This client only needs to be created // once, and can be reused for multiple requests. After completing all of your requests, call // the "close" method on the client to safely clean up any remaining background resources. try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) { RunRealtimeReportRequest request = RunRealtimeReportRequest.newBuilder() .setProperty("properties/" + propertyId) .addDimensions(Dimension.newBuilder().setName("country")) .addMetrics(Metric.newBuilder().setName("activeUsers")) .build(); // Make the request. RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request); printRunRealtimeReportResponse(response); } } // Prints results of a runRealReport call. static void printRunRealtimeReportResponse(RunRealtimeReportResponse response) { System.out.printf("%s rows received%n", response.getRowsList().size()); for (DimensionHeader header : response.getDimensionHeadersList()) { System.out.printf("Dimension header name: %s%n", header.getName()); } for (MetricHeader header : response.getMetricHeadersList()) { System.out.printf("Metric header name: %s (%s)%n", header.getName(), header.getType()); } System.out.println("Report result:"); for (Row row : response.getRowsList()) { System.out.printf( "%s, %s%n", row.getDimensionValues(0).getValue(), row.getMetricValues(0).getValue()); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunRealtimeReportRequest; use Google\Analytics\Data\V1beta\RunRealtimeReportResponse; /** * Runs a realtime report on a Google Analytics 4 property. * @param string $propertyId Your GA-4 Property ID */ function run_realtime_report(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunRealtimeReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'country'])]) ->setMetrics([new Metric(['name' => 'activeUsers'])]); $response = $client->runRealtimeReport($request); printRunRealtimeReportResponse($response); } /** * Print results of a runRealtimeReport call. * @param RunRealtimeReportResponse $response */ function printRunRealtimeReportResponse(RunRealtimeReportResponse $response) { printf('%s rows received%s', $response->getRowCount(), PHP_EOL); foreach ($response->getDimensionHeaders() as $dimensionHeader) { printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL); } foreach ($response->getMetricHeaders() as $metricHeader) { printf( 'Metric header name: %s (%s)%s', $metricHeader->getName(), MetricType::name($metricHeader->getType()), PHP_EOL ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( Dimension, Metric, RunRealtimeReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_realtime_report(property_id) def run_realtime_report(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a realtime report on a Google Analytics 4 property.""" client = BetaAnalyticsDataClient() request = RunRealtimeReportRequest( property=f"properties/{property_id}", dimensions=[Dimension(name="country")], metrics=[Metric(name="activeUsers")], ) response = client.run_realtime_report(request) print_run_report_response(response)
Node.js
/** * TODO(developer): Uncomment this variable and replace with your GA4 * property ID before running the sample. */ // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Creates a client. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a realtime report on a Google Analytics 4 property. async function runRealtimeReport() { const [response] = await analyticsDataClient.runRealtimeReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'country', }, ], metrics: [ { name: 'activeUsers', }, ], }); printRunReportResponse(response); } runRealtimeReport(); // Prints results of a runReport call. function printRunReportResponse(response) { console.log(`${response.rowCount} rows received`); response.dimensionHeaders.forEach(dimensionHeader => { console.log(`Dimension header name: ${dimensionHeader.name}`); }); response.metricHeaders.forEach(metricHeader => { console.log( `Metric header name: ${metricHeader.name} (${metricHeader.type})` ); }); console.log('Report result:'); response.rows.forEach(row => { console.log( `${row.dimensionValues[0].value}, ${row.metricValues[0].value}` ); }); }
응답 신고
실시간 보고서 응답 주로 헤더와 행으로 구성됩니다. 헤더는 DimensionHeaders 및 MetricHeaders '보고서' 탭에 있는 열이 표시됩니다. 각 행은 DimensionValues로 구성됩니다. MetricValues 및 있습니다. 열의 순서는 요청과 헤더에서 일관됩니다. 지정할 수 있습니다.
다음은 위의 샘플 요청에 대한 샘플 응답입니다.
{
"dimensionHeaders": [
{
"name": "country"
}
],
"metricHeaders": [
{
"name": "activeUsers",
"type": "TYPE_INTEGER"
}
],
"rows": [
{
"dimensionValues": [
{
"value": "Japan"
}
],
"metricValues": [
{
"value": "2541"
}
]
},
{
"dimensionValues": [
{
"value": "France"
}
],
"metricValues": [
{
"value": "12"
}
]
}
],
"rowCount": 2
}
크기
측정기준은 다음에 대한 이벤트 데이터를 설명하고 그룹화합니다.
확인할 수 있습니다 예를 들어 city
측정기준은 도시('파리')를 나타냅니다.
'뉴욕')을 입력합니다. 보고서 요청에서 다음 작업을 할 수 있습니다.
0개 이상의 차원을 지정합니다. 실시간 측정기준을 참조하세요.
를 참조하세요.
예를 들어 이 요청은 활성 사용자를 두 개의 측정기준 열로 그룹화합니다.
HTTP
POST https://analyticsdata.googleapis.com/v1beta/property/GA_PROPERTY_ID:runRealtimeReport
{
"dimensions": [
{
"name": "country"
},
{
"name": "city"
}
],
"metrics": [{ "name": "activeUsers" }]
}
자바
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.RunRealtimeReportRequest; import com.google.analytics.data.v1beta.RunRealtimeReportResponse; /** * Google Analytics Data API sample application demonstrating the creation of a realtime report. * * <p>See * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport * for more information. * * <p>Before you start the application, please review the comments starting with "TODO(developer)" * and update the code to use correct values. * * <p>To run this sample using Maven: * * <pre>{@code * cd google-analytics-data * mvn compile exec:java -Dexec.mainClass="com.google.analytics.data.samples.RunRealtimeReportWithMultipleDimensionsSample" * }</pre> */ public class RunRealtimeReportWithMultipleDimensionsSample { public static void main(String... args) throws Exception { // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample. String propertyId = "YOUR-GA4-PROPERTY-ID"; sampleRunRealtimeReportWithMultipleDimensions(propertyId); } // Runs a realtime report on a Google Analytics 4 property. static void sampleRunRealtimeReportWithMultipleDimensions(String propertyId) throws Exception { // Initialize client that will be used to send requests. This client only needs to be created // once, and can be reused for multiple requests. After completing all of your requests, call // the "close" method on the client to safely clean up any remaining background resources. try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) { RunRealtimeReportRequest request = RunRealtimeReportRequest.newBuilder() .setProperty("properties/" + propertyId) .addDimensions(Dimension.newBuilder().setName("country")) .addDimensions(Dimension.newBuilder().setName(("city"))) .addMetrics(Metric.newBuilder().setName("activeUsers")) .build(); // Make the request. RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request); // Prints the response using a method in RunRealtimeReportSample.java RunRealtimeReportSample.printRunRealtimeReportResponse(response); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunRealtimeReportRequest; use Google\Analytics\Data\V1beta\RunRealtimeReportResponse; /** * Runs a realtime report on a Google Analytics 4 property. * @param string $propertyId Your GA-4 Property ID */ function run_realtime_report_with_multiple_dimensions(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunRealtimeReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([ new Dimension(['name' => 'country']), new Dimension(['name' => 'city']), ]) ->setMetrics([new Metric(['name' => 'activeUsers'])]); $response = $client->runRealtimeReport($request); printRunRealtimeReportWithMultipleDimensionsResponse($response); } /** * Print results of a runRealtimeReport call. * @param RunRealtimeReportResponse $response */ function printRunRealtimeReportWithMultipleDimensionsResponse(RunRealtimeReportResponse $response) { printf('%s rows received%s', $response->getRowCount(), PHP_EOL); foreach ($response->getDimensionHeaders() as $dimensionHeader) { printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL); } foreach ($response->getMetricHeaders() as $metricHeader) { printf( 'Metric header name: %s (%s)%s', $metricHeader->getName(), MetricType::name($metricHeader->getType()), PHP_EOL ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( Dimension, Metric, RunRealtimeReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_realtime_report_with_multiple_dimensions(property_id) def run_realtime_report_with_multiple_dimensions(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a realtime report on a Google Analytics 4 property.""" client = BetaAnalyticsDataClient() request = RunRealtimeReportRequest( property=f"properties/{property_id}", dimensions=[Dimension(name="country"), Dimension(name="city")], metrics=[Metric(name="activeUsers")], ) response = client.run_realtime_report(request) print_run_report_response(response)
Node.js
/** * TODO(developer): Uncomment this variable and replace with your GA4 * property ID before running the sample. */ // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Initialize client that will be used to send requests. This client only // needs to be created once, and can be reused for multiple requests. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a realtime report on a Google Analytics 4 property. async function runRealtimeReportWithMultipleDimensions() { const [response] = await analyticsDataClient.runRealtimeReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'country', }, { name: 'city', }, ], metrics: [ { name: 'activeUsers', }, ], }); printRunReportResponse(response); } runRealtimeReportWithMultipleDimensions(); // Prints results of a runReport call. function printRunReportResponse(response) { console.log(`${response.rowCount} rows received`); response.dimensionHeaders.forEach(dimensionHeader => { console.log(`Dimension header name: ${dimensionHeader.name}`); }); response.metricHeaders.forEach(metricHeader => { console.log( `Metric header name: ${metricHeader.name} (${metricHeader.type})` ); }); console.log('Report result:'); response.rows.forEach(row => { console.log( `${row.dimensionValues[0].value}, ${row.metricValues[0].value}` ); }); }
예를 들어 보고서 응답의 행에는 다음이 포함될 수 있습니다. 이 행 케이프에서 이벤트가 발생한 웹사이트 또는 앱의 활성 사용자가 47명이라는 의미입니다. 남아프리카 공화국의 도시입니다.
"rows": [
...
{
"dimensionValues": [
{
"value": "South Africa"
},
{
"value": "Cape Town"
}
],
"metricValues": [
{
"value": "47"
}
]
},
...
],
측정항목
측정항목은 일정 기간에 발생한 이벤트 데이터의 정량적 측정치입니다. 확인할 수 있습니다 보고서 요청에서 하나 이상의 측정항목을 지정할 수 있습니다. API의 전체 목록은 실시간 측정항목을 참조하세요. 요청에 사용할 수 있는 측정항목 이름입니다.
예를 들어 이 요청은 측정기준별로 그룹화된 두 개의 측정항목을 표시합니다.
unifiedScreenName
:
HTTP
POST https://analyticsdata.googleapis.com/v1beta/property/GA_PROPERTY_ID:runRealtimeReport
{
"dimensions": [{ "name": "unifiedScreenName" }],
"metrics": [
{
"name": "screenPageViews"
},
{
"name": "keyEvents"
}
],
}
자바
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.RunRealtimeReportRequest; import com.google.analytics.data.v1beta.RunRealtimeReportResponse; /** * Google Analytics Data API sample application demonstrating the creation of a realtime report. * * <p>See * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport * for more information. * * <p>Before you start the application, please review the comments starting with "TODO(developer)" * and update the code to use correct values. * * <p>To run this sample using Maven: * * <pre>{@code * cd google-analytics-data * mvn compile exec:java -Dexec.mainClass="com.google.analytics.data.samples.RunRealtimeReportWithMultipleMetricsSample" * }</pre> */ public class RunRealtimeReportWithMultipleMetricsSample { public static void main(String... args) throws Exception { // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample. String propertyId = "YOUR-GA4-PROPERTY-ID"; sampleRunRealtimeReportWithMultipleMetrics(propertyId); } // Runs a realtime report on a Google Analytics 4 property. static void sampleRunRealtimeReportWithMultipleMetrics(String propertyId) throws Exception { // Initialize client that will be used to send requests. This client only needs to be created // once, and can be reused for multiple requests. After completing all of your requests, call // the "close" method on the client to safely clean up any remaining background resources. try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) { RunRealtimeReportRequest request = RunRealtimeReportRequest.newBuilder() .setProperty("properties/" + propertyId) .addDimensions(Dimension.newBuilder().setName("unifiedScreenName")) .addMetrics(Metric.newBuilder().setName(("screenPageViews"))) .addMetrics(Metric.newBuilder().setName("conversions")) .build(); // Make the request. RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request); // Prints the response using a method in RunRealtimeReportSample.java RunRealtimeReportSample.printRunRealtimeReportResponse(response); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunRealtimeReportRequest; use Google\Analytics\Data\V1beta\RunRealtimeReportResponse; /** * Runs a realtime report on a Google Analytics 4 property. * @param string $propertyId Your GA-4 Property ID */ function run_realtime_report_with_multiple_metrics(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunRealtimeReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'unifiedScreenName'])]) ->setMetrics([ new Metric(['name' => 'screenPageViews']), new Metric(['name' => 'conversions']), ]); $response = $client->runRealtimeReport($request); printRunRealtimeReportWithMultipleMetricsResponse($response); } /** * Print results of a runRealtimeReport call. * @param RunRealtimeReportResponse $response */ function printRunRealtimeReportWithMultipleMetricsResponse(RunRealtimeReportResponse $response) { printf('%s rows received%s', $response->getRowCount(), PHP_EOL); foreach ($response->getDimensionHeaders() as $dimensionHeader) { printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL); } foreach ($response->getMetricHeaders() as $metricHeader) { printf( 'Metric header name: %s (%s)%s', $metricHeader->getName(), MetricType::name($metricHeader->getType()), PHP_EOL ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( Dimension, Metric, RunRealtimeReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_realtime_report_with_multiple_metrics(property_id) def run_realtime_report_with_multiple_metrics(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a realtime report on a Google Analytics 4 property.""" client = BetaAnalyticsDataClient() request = RunRealtimeReportRequest( property=f"properties/{property_id}", dimensions=[Dimension(name="unifiedScreenName")], metrics=[Metric(name="screenPageViews"), Metric(name="conversions")], ) response = client.run_realtime_report(request) print_run_report_response(response)
Node.js
/** * TODO(developer): Uncomment this variable and replace with your GA4 * property ID before running the sample. */ // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Creates a client. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a realtime report on a Google Analytics 4 property. async function runRealtimeReportWithMultipleMetrics() { const [response] = await analyticsDataClient.runRealtimeReport({ // The property parameter value must be in the form `properties/1234` // where `1234` is a GA4 property Id. property: `properties/${propertyId}`, dimensions: [ { name: 'unifiedScreenName', }, ], metrics: [ { name: 'screenPageViews', }, { name: 'conversions', }, ], }); printRunReportResponse(response); } runRealtimeReportWithMultipleMetrics(); // Prints results of a runReport call. function printRunReportResponse(response) { console.log(`${response.rowCount} rows received`); response.dimensionHeaders.forEach(dimensionHeader => { console.log(`Dimension header name: ${dimensionHeader.name}`); }); response.metricHeaders.forEach(metricHeader => { console.log( `Metric header name: ${metricHeader.name} (${metricHeader.type})` ); }); console.log('Report result:'); response.rows.forEach(row => { console.log( `${row.dimensionValues[0].value}, ${row.metricValues[0].value}` ); }); }
예를 들어 보고서 응답의 행에는 다음이 포함될 수 있습니다. 이 행
main_menu
의 페이지 제목 (웹) 또는 화면 이름 (앱)의 경우
지난 30분 동안 조회수 257회, 주요 이벤트 72회였습니다.
"rows": [
...
{
"dimensionValues": [
{
"value": "main_menu"
}
],
"metricValues": [
{
"value": "257"
},
{
"value": "72"
}
]
},
...
],
분 범위
실시간 보고서 요청에서 minuteRanges를 사용할 수 있습니다. 분 범위를 지정하는 필드 이벤트 데이터를 읽어야 합니다. 하나의 쿼리에 최대 2개의 개별 분 범위를 사용할 수 있습니다. 만약 분 범위 사양이 쿼리에 없으면 사용됩니다.
예를 들어 아래 요청은 2분에 대한 활성 사용자 수를 보여줍니다. 범위:
- 범위 #1: 4분 전부터 현재까지
범위 #2: 29분 전부터 25분 전 (포함)까지
HTTP
POST https://analyticsdata.googleapis.com/v1beta/property/GA_PROPERTY_ID:runRealtimeReport
{
"metrics": [
{
"name": "activeUsers"
}
],
"minuteRanges": [
{
"name": "0-4 minutes ago",
"startMinutesAgo": 4,
},
{
"name": "25-29 minutes ago",
"startMinutesAgo": 29,
"endMinutesAgo": 25,
}
],
}
자바
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.MinuteRange; import com.google.analytics.data.v1beta.RunRealtimeReportRequest; import com.google.analytics.data.v1beta.RunRealtimeReportResponse; /** * Google Analytics Data API sample application demonstrating the creation of a realtime report. * * <p>See * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport * for more information. * * <p>Before you start the application, please review the comments starting with "TODO(developer)" * and update the code to use correct values. * * <p>To run this sample using Maven: * * <pre>{@code * cd google-analytics-data * mvn compile exec:java -Dexec.mainClass="com.google.analytics.data.samples.RunRealtimeReportWithMinuteRangesSample" * }</pre> */ public class RunRealtimeReportWithMinuteRangesSample { public static void main(String... args) throws Exception { // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample. String propertyId = "YOUR-GA4-PROPERTY-ID"; sampleRunRealtimeReportWithMinuteRanges(propertyId); } // Runs a realtime report on a Google Analytics 4 property. static void sampleRunRealtimeReportWithMinuteRanges(String propertyId) throws Exception { // Initialize client that will be used to send requests. This client only needs to be created // once, and can be reused for multiple requests. After completing all of your requests, call // the "close" method on the client to safely clean up any remaining background resources. try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) { RunRealtimeReportRequest request = RunRealtimeReportRequest.newBuilder() .setProperty("properties/" + propertyId) .addMetrics(Metric.newBuilder().setName(("activeUsers"))) .addMinuteRanges( MinuteRange.newBuilder().setName("0-4 minutes ago").setStartMinutesAgo(4)) .addMinuteRanges( MinuteRange.newBuilder() .setName("25-29 minutes ago") .setEndMinutesAgo(29) .setEndMinutesAgo(25)) .build(); // Make the request. RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request); // Prints the response using a method in RunRealtimeReportSample.java RunRealtimeReportSample.printRunRealtimeReportResponse(response); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\MinuteRange; use Google\Analytics\Data\V1beta\RunRealtimeReportRequest; use Google\Analytics\Data\V1beta\RunRealtimeReportResponse; /** * Runs a realtime report on a Google Analytics 4 property. Dimensions field is * omitted in the query, which results in total values of active users returned * for each minute range in the report. * * Note the `dateRange` dimension added to the report response automatically as * a result of querying multiple minute ranges. * @param string $propertyId Your GA-4 Property ID */ function run_realtime_report_with_minute_ranges(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunRealtimeReportRequest()) ->setProperty('properties/' . $propertyId) ->setMetrics([ new Metric(['name' => 'activeUsers']), ]) ->setMinuteRanges([ new MinuteRange(['name' => '0-4 minutes ago', 'start_minutes_ago' => 4]), new MinuteRange(['name' => '25-29 minutes ago', 'start_minutes_ago' => 29, 'end_minutes_ago' => 25]), ]); $response = $client->runRealtimeReport($request); printRunRealtimeReportWithMinuteRangesResponse($response); } /** * Print results of a runRealtimeReport call. * @param RunRealtimeReportResponse $response */ function printRunRealtimeReportWithMinuteRangesResponse(RunRealtimeReportResponse $response) { printf('%s rows received%s', $response->getRowCount(), PHP_EOL); foreach ($response->getDimensionHeaders() as $dimensionHeader) { printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL); } foreach ($response->getMetricHeaders() as $metricHeader) { printf( 'Metric header name: %s (%s)%s', $metricHeader->getName(), MetricType::name($metricHeader->getType()), PHP_EOL ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( Metric, MinuteRange, RunRealtimeReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_realtime_report_with_minute_ranges(property_id) def run_realtime_report_with_minute_ranges(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a realtime report on a Google Analytics 4 property. Dimensions field is omitted in the query, which results in total values of active users returned for each minute range in the report. Note the `dateRange` dimension added to the report response automatically as a result of querying multiple minute ranges. """ client = BetaAnalyticsDataClient() request = RunRealtimeReportRequest( property=f"properties/{property_id}", metrics=[Metric(name="activeUsers")], minute_ranges=[ MinuteRange(name="0-4 minutes ago", start_minutes_ago=4), MinuteRange( name="25-29 minutes ago", start_minutes_ago=29, end_minutes_ago=25 ), ], ) response = client.run_realtime_report(request) print_run_report_response(response)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Initialize client that will be used to send requests. This client only // needs to be created once, and can be reused for multiple requests. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a report using two date ranges. async function runRealtimeReportWithMinuteRanges() { const [response] = await analyticsDataClient.runRealtimeReport({ property: `properties/${propertyId}`, minuteRanges: [ { name: '0-4 minutes ago', startMinutesAgo: 4, endMinutesAgo: 0, }, { name: '25-29 minutes ago', startMinutesAgo: 29, endMinutesAgo: 25, }, ], metrics: [ { name: 'activeUsers', }, ], }); printRunReportResponse(response); } runRealtimeReportWithMinuteRanges(); // Prints results of a runReport call. function printRunReportResponse(response) { console.log(`${response.rowCount} rows received`); response.dimensionHeaders.forEach(dimensionHeader => { console.log(`Dimension header name: ${dimensionHeader.name}`); }); response.metricHeaders.forEach(metricHeader => { console.log( `Metric header name: ${metricHeader.name} (${metricHeader.type})` ); }); console.log('Report result:'); response.rows.forEach(row => { console.log( `${row.dimensionValues[0].value}, ${row.metricValues[0].value}` ); }); }
다음은 쿼리에 대한 완전한 샘플 응답입니다. 참고:
측정기준 dateRange
개가 보고서 응답에 자동으로 추가됨
100% 업타임 체크를 제공합니다
{
"dimensionHeaders": [
{
"name": "dateRange"
}
],
"metricHeaders": [
{
"name": "activeUsers",
"type": "TYPE_INTEGER"
}
],
"rows": [
{
"dimensionValues": [
{
"value": "0-4 minutes ago"
}
],
"metricValues": [
{
"value": "16"
}
]
},
{
"dimensionValues": [
{
"value": "25-29 minutes ago"
}
],
"metricValues": [
{
"value": "14"
}
]
}
],
"rowCount": 2,
"kind": "analyticsData#runRealtimeReport"
}