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The Fluentd `buffer_queue_limit` is the value of the variable `BUFFER_QUEUE_LIMIT`. This value is `32` by default.
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The environment variable `BUFFER_QUEUE_LIMIT` is calculated as `(FILE_BUFFER_LIMIT / (number_of_outputs * BUFFER_SIZE_LIMIT))`.
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If the `BUFFER_QUEUE_LIMIT` variable has the default set of values:
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* `FILE_BUFFER_LIMIT = 256Mi`
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* `number_of_outputs = 1`
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* `BUFFER_SIZE_LIMIT = 8Mi`
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The value of `buffer_queue_limit` will be `32`. To change the `buffer_queue_limit`, you must change the value of `FILE_BUFFER_LIMIT`.
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In this formula, `number_of_outputs` is `1` if all the logs are sent to a single resource, and it is incremented by `1` for each additional resource. For example, the value of `number_of_outputs` is:
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* `1` - if all logs are sent to a single Elasticsearch pod
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* `2` - if application logs are sent to an Elasticsearch pod and ops logs are sent to
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another Elasticsearch pod
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* `4` - if application logs are sent to an Elasticsearch pod, ops logs are sent to
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another Elasticsearch pod, and both of them are forwarded to other Fluentd instances
The Fluentd `buffer_queue_limit` is the value of the variable `BUFFER_QUEUE_LIMIT`. This value is `32` by default.
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The environment variable `BUFFER_QUEUE_LIMIT` is calculated as `(FILE_BUFFER_LIMIT / (number_of_outputs * BUFFER_SIZE_LIMIT))`.
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If the `BUFFER_QUEUE_LIMIT` variable has the default set of values:
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* `FILE_BUFFER_LIMIT = 256Mi`
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* `number_of_outputs = 1`
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* `BUFFER_SIZE_LIMIT = 8Mi`
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The value of `buffer_queue_limit` will be `32`. To change the `buffer_queue_limit`, you must change the value of `FILE_BUFFER_LIMIT`.
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In this formula, `number_of_outputs` is `1` if all the logs are sent to a single resource, and it is incremented by `1` for each additional resource. For example, the value of `number_of_outputs` is:
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* `1` - if all logs are sent to a single Elasticsearch pod
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* `2` - if application logs are sent to an Elasticsearch pod and ops logs are sent to
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another Elasticsearch pod
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* `4` - if application logs are sent to an Elasticsearch pod, ops logs are sent to
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another Elasticsearch pod, and both of them are forwarded to other Fluentd instances
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