英文:
In depth detail of data being produced to newrelic
问题
我们查看了https://docs.newrelic.com/docs/data-apis/manage-data/manage-data-coming-new-relic/。
它只显示大约7种数据源被传送到New Relic。
我们想要更多详细信息，确切地了解从哪些应用程序中传送了哪些类型的数据，以便我们可以减少数量。
我们甚至尝试运行了基于https://docs.newrelic.com/docs/new-relic-solutions/observability-maturity/operational-efficiency/data-governance-baseline-ingest-guide/#prereqs的以下查询：
SELECT * FROM NrConsumption LIMIT 5
结果中只有两行。
英文:
We went through https://docs.newrelic.com/docs/data-apis/manage-data/manage-data-coming-new-relic/
It just shows around 7 sources of data being ingested to newrelic.
We want to know more details exactly what type of data from which all apps are being ingested so that we can reduce the amount.
We even tried to run following query based on https://docs.newrelic.com/docs/new-relic-solutions/observability-maturity/operational-efficiency/data-governance-baseline-ingest-guide/#prereqs
SELECT * FROM NrConsumption LIMIT 5
It gave only two rows in result.
答案1
得分: 1
根据问题 - 您是否可以查看所有贡献数据摄取的应用程序名称。由于提到了'appNames'，我假设您是在引用APM数据摄取。
到达那里的步骤是：
数据管理中心
单击图例中的APM事件 -> 单击图表中的APM区域（或直接单击APM区域）
从模态窗口中选择查询（通常看起来像下面的示例）
SELECT bytecountestimate()/10e8 FROM Transaction, TransactionError FACET appName LIMIT 15 SINCE 1684442429581 UNTIL 1684528829581
请注意，模态窗口仅显示过去24小时的前15个结果。但可以通过更新SINCE和UNTIL子句以“ SINCE 30 DAYS AGO UNTIL TODAY”来修改模态窗口中的查询，以显示更长时间窗口的数据摄取详细信息。
英文:
As per the question - you are asking if you can see all app names that are contributing to data ingest. And as there is a mention of ‘appNames’ I am assuming you are referring to APM data ingest.
The steps to get there is:
Data Management Hub
Click on APM Events in legend -> Click on the area for APM (Or directly click on APM area in the chart)
Pick the query from the modal (Usually looks something like below)
SELECT bytecountestimate()/10e8 FROM `Transaction`, `TransactionError` FACET appName LIMIT 15 SINCE 1684442429581 UNTIL 1684528829581
Note that the modal only shows Top 15 results for last 24 hours. But the query from the modal can be modified to show data ingest details for longer time window too by updating the SINCE and UNTIL clauses to SINCE 30 DAYS AGO UNTIL TODAY
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