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Read from linDB about client_go HOT 12 CLOSED

lindb avatar lindb commented on August 19, 2024
Read from linDB

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Comments (12)

stone1100 avatar stone1100 commented on August 19, 2024 1
	for unix := 1680742861; unix < 1681261261; unix += 10 {
		// cpu params
		CpuS := CpuParams()

		// write cpu data
		uT := int64(unix)
		date := time.Unix(uT, 0)

		wc.AddPoint(context.TODO(), api.NewPoint("cpu").
			SetTimestamp(date).  // <= set timestamp
			AddTag("host", "host1").
			AddField(api.NewLast("free", CpuS.free)).
			AddField(api.NewLast("usage", CpuS.usedPer)).
			AddField(api.NewLast("core1", CpuS.core1)).
			AddField(api.NewLast("core2", CpuS.core2)).
			AddField(api.NewLast("core3", CpuS.core3)).
			AddField(api.NewLast("core4", CpuS.core4)).
			AddField(api.NewLast("core5", CpuS.core5)).
			AddField(api.NewLast("core6", CpuS.core6)).
			AddField(api.NewLast("core7", CpuS.core7)).
			AddField(api.NewLast("core8", CpuS.core8)).
			AddField(api.NewLast("MHz", CpuS.usedMHz)))
	}

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SerjZimmer avatar SerjZimmer commented on August 19, 2024 1

You my best friend!!!!!))))))

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stone1100 avatar stone1100 commented on August 19, 2024

Currently, reading data through the client is not supported.
LinDB provides a Restful API, data and status can be read through HTTP.

Ref:

A version can be released this week to support reading data and status through the client.

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stone1100 avatar stone1100 commented on August 19, 2024

@SerjZimmer v0.0.2, reading metric data and metadata is supported.

example: https://github.com/lindb/client_go/blob/main/example/read_data.go

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SerjZimmer avatar SerjZimmer commented on August 19, 2024

Great, thank you ! Could you add more early examples of linQL?

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stone1100 avatar stone1100 commented on August 19, 2024

Great, thank you ! Could you add more early examples of linQL?

Ref: https://lindb.io/guide/lin-ql.html#metric-query

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SerjZimmer avatar SerjZimmer commented on August 19, 2024

Thank you so much, sorry for the interrogations) Is there a way to download demo metrics for the period I need? Or just real-time metrics?

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stone1100 avatar stone1100 commented on August 19, 2024

Do you mean to periodically query related metrics and save them? If yes, you can periodically query the corresponding metric data and save the results to a file.

Steps:

  1. invoke data query api, you can set query time range, for example:
    select load from system.cpu where time>'2023-04-10 20:00:00' and time<'2023-04-10 20:05:00'
  2. marshal result set as json format;
  3. save json data to a file;

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SerjZimmer avatar SerjZimmer commented on August 19, 2024

I mean the need in my case to write down the data for the past week. For example. I make a request for certain metrics from 2023.04.04 to 2023.04.11 and the result is that there is no data in this time interval. So, can I add randomly generated data to this interval?

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stone1100 avatar stone1100 commented on August 19, 2024

You can specify the time range that can be written in the new database(https://lindb.io/guide/lin-ql.html#create-database), and the data within this time range can be written.
Can set timestamp of data point(https://github.com/lindb/client_go/blob/main/api/point.go#L59).

For example: now => 2023.04.11 02:00:00

  • database config: behead => 7d , ahead => 1h , data can be written in (now-7d ~ now+1h)
  • data point => 2023.04.08 12:02:00 can be written
  • data point => 2023.04.03 22:00:02 will be rejected
  • data point => 2023.04.11 03:02:02 will be rejected

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SerjZimmer avatar SerjZimmer commented on August 19, 2024

Thank you so much!

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SerjZimmer avatar SerjZimmer commented on August 19, 2024

where should i put the new date?

for unix := 1680742861; unix < 1681261261; unix += 10 {
	// cpu params
	CpuS := CpuParams()

	// write cpu data
	uT := int64(unix)
	date := time.Unix(uT, 0)

	point := api.Point{}
	point.SetTimestamp(date)

	wc.AddPoint(context.TODO(), api.NewPoint("cpu").
		AddTag("host", "host1").
		AddField(api.NewLast("free", CpuS.free)).
		AddField(api.NewLast("usage", CpuS.usedPer)).
		AddField(api.NewLast("core1", CpuS.core1)).
		AddField(api.NewLast("core2", CpuS.core2)).
		AddField(api.NewLast("core3", CpuS.core3)).
		AddField(api.NewLast("core4", CpuS.core4)).
		AddField(api.NewLast("core5", CpuS.core5)).
		AddField(api.NewLast("core6", CpuS.core6)).
		AddField(api.NewLast("core7", CpuS.core7)).
		AddField(api.NewLast("core8", CpuS.core8)).
		AddField(api.NewLast("MHz", CpuS.usedMHz)))
}

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