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lib/logstorage: work-in-progress
This commit is contained in:
Aliaksandr Valialkin
parent
8b6a31d8c6
commit
b30e80b071
30 changed files with 988 additions and 319 deletions
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@ -19,6 +19,18 @@ according to [these docs](https://docs.victoriametrics.com/victorialogs/quicksta
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## tip
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## [v0.15.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v0.15.0-victorialogs)
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Released at 2024-05-30
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* FEATURE: add [`row_any`](https://docs.victoriametrics.com/victorialogs/logsql/#row_any-stats) function for [`stats` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe). This function returns a sample log entry per every calculated [group of results](https://docs.victoriametrics.com/victorialogs/logsql/#stats-by-fields).
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* FEATURE: add `default` operator to [`math` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#math-pipe). It allows overriding `NaN` results with the given default value.
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* FEATURE: add `exp()` and `ln()` functions to [`math` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#math-pipe).
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* FEATURE: allow omitting result name in [`math` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#math-pipe) expresions. In this case the result name is automatically set to string representation of the corresponding math expression. For example, `_time:5m | math duration / 1000` is equivalent to `_time:5m | math (duration / 1000) as "duration / 1000"`.
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* FEATURE: allow omitting result name in [`stats` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe). In this case the result name is automatically set to string representation of the corresponding [stats function expression](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe-functions). For example, `_time:5m | count(*)` is valid [LogsQL query](https://docs.victoriametrics.com/victorialogs/logsql/) now. It is equivalent to `_time:5m | stats count(*) as "count(*)"`.
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* BUGFIX: properly calculate the number of matching rows in `* | field_values x | stats count() rows` and in `* | unroll (x) | stats count() rows` queries.
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## [v0.14.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v0.14.0-victorialogs)
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Released at 2024-05-29
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@ -103,7 +115,7 @@ Released at 2024-05-22
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* FEATURE: add ability to extract fields with [`extract` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#extract-pipe) only if the given condition is met. See [these docs](https://docs.victoriametrics.com/victorialogs/logsql/#conditional-extract).
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* FEATURE: add ability to unpack JSON fields with [`unpack_json` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#unpack_json-pipe) only if the given condition is met. See [these docs](https://docs.victoriametrics.com/victorialogs/logsql/#conditional-unpack_json).
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* FEATURE: add ability to unpack [logfmt](https://brandur.org/logfmt) fields with [`unpack_logfmt` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#unpack_logfmt-pipe) only if the given condition is met. See [these docs](https://docs.victoriametrics.com/victorialogs/logsql/#conditional-unpack_logfmt).
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* FEATURE: add [`fields_min`](https://docs.victoriametrics.com/victorialogs/logsql/#fields_min-stats) and [`fields_max`](https://docs.victoriametrics.com/victorialogs/logsql/#fields_max-stats) functions for [`stats` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe), which allow returning all the [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) for the log entry with the minimum / maximum value at the given field.
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* FEATURE: add [`row_min`](https://docs.victoriametrics.com/victorialogs/logsql/#row_min-stats) and [`row_max`](https://docs.victoriametrics.com/victorialogs/logsql/#row_max-stats) functions for [`stats` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe), which allow returning all the [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) for the log entry with the minimum / maximum value at the given field.
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* FEATURE: add `/select/logsql/streams` HTTP endpoint for returning [streams](https://docs.victoriametrics.com/victorialogs/keyconcepts/#stream-fields) from results of the given query. See [these docs](https://docs.victoriametrics.com/victorialogs/querying/#querying-streams) for details.
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* FEATURE: add `/select/logsql/stream_field_names` HTTP endpoint for returning [stream](https://docs.victoriametrics.com/victorialogs/keyconcepts/#stream-fields) field names from results of the given query. See [these docs](https://docs.victoriametrics.com/victorialogs/querying/#querying-stream-field-names) for details.
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* FEATURE: add `/select/logsql/stream_field_values` HTTP endpoint for returning [stream](https://docs.victoriametrics.com/victorialogs/keyconcepts/#stream-fields) field values for the given label from results of the given query. See [these docs](https://docs.victoriametrics.com/victorialogs/querying/#querying-stream-field-values) for details.
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@ -1594,6 +1594,19 @@ See also:
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### math pipe
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`| math ...` [pipe](#pipes) performs mathematical calculations over numeric values stored in [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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It has the following format:
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```
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| math
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expr1 as resultName1,
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...
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exprN as resultNameN
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```
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Where `exprX` is one of the supported math expressions mentioned below, while `resultNameX` is the name of the field to store the calculated result to.
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The `as` keyword is optional. The result name can be omitted. In this case the result is stored to a field with the name equal to string represenation
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of the corresponding math expression.
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For example, the following query divides `duration_msecs` field value by 1000, then rounds it to integer and stores the result in the `duration_secs` field:
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```logsql
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@ -1608,7 +1621,10 @@ The following mathematical operations are supported by `math` pipe:
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- `arg1 / arg2` - divides `arg1` by `arg2`
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- `arg1 % arg2` - returns the remainder of the division of `arg1` by `arg2`
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- `arg1 ^ arg2` - returns the power of `arg1` by `arg2`
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- `arg1 default arg2` - returns `arg2` if `arg1` equals to `NaN`.
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- `abs(arg)` - returns an absolute value for the given `arg`
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- `exp(arg)` - powers [`e`](https://en.wikipedia.org/wiki/E_(mathematical_constant)) by `arg`.
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- `ln(arg)` - returns [natural logarightm](https://en.wikipedia.org/wiki/Natural_logarithm) for the given `arg`.
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- `max(arg1, ..., argN)` - returns the maximum value among the given `arg1`, ..., `argN`
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- `min(arg1, ..., argN)` - returns the minimum value among the given `arg1`, ..., `argN`
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- `round(arg)` - returns rounded to integer value for the given `arg`. The `round()` accepts optional `nearest` arg, which allows rounding the number to the given `nearest` multiple.
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@ -1617,18 +1633,10 @@ The following mathematical operations are supported by `math` pipe:
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Every `argX` argument in every mathematical operation can contain one of the following values:
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- The name of [log field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model). For example, `errors_total / requests_total`.
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If the log field contains value, which cannot be parsed into [supported numeric value](#numeric-values), then it is replaced with `NaN`.
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- Any [supported numeric value](#numeric-values). For example, `response_size_bytes / 1MiB`.
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- Another mathematical expression. Optionally, it may be put inside `(...)`. For example, `(a + b) * c`.
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Multiple distinct results can be calculated in a single `math ...` pipe - just separate them with `,`. For example, the following query calculates the error rate
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and the number of successful requests from `errors`, `warnings` and `requests` [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model):
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```logsql
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_time:5m | math
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(errors / requests) as error_rate,
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(requests - (errors + warnings)) as success_requests
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```
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See also:
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- [`stats` pipe](#stats-pipe)
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@ -1885,7 +1893,7 @@ See also:
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uses [`count` stats function](#count-stats) for calculating the number of logs for the last 5 minutes:
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```logsql
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_time:5m | stats count() logs_total
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_time:5m | stats count() as logs_total
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```
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`| stats ...` pipe has the following basic format:
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@ -1909,12 +1917,19 @@ For example, the following query calculates the following stats for logs over th
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_time:5m | stats count() logs_total, count_uniq(_stream) streams_total
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```
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It is allowed to omit `stats` prefix for convenience. So the following query is equivalent to the previous one:
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It is allowed omitting `stats` prefix for convenience. So the following query is equivalent to the previous one:
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```logsql
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_time:5m | count() logs_total, count_uniq(_stream) streams_total
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```
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It is allowed omitting the result name. In this case the result name equals to the string representation of the used [stats function](#stats-pipe-functions).
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For example, the following query returns the same stats as the previous one, but gives uses `count()` and `count_uniq(_stream)` names for the returned fields:
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```logsql
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_time:5m | count(), count_uniq(_stream)
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```
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See also:
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- [stats by fields](#stats-by-fields)
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@ -1954,6 +1969,12 @@ The `by` keyword can be skipped in `stats ...` pipe. For example, the following
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_time:5m | stats (host, path) count() logs_total, count_uniq(ip) ips_total
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```
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See also:
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- [`row_min`](#row_min-stats)
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- [`row_max`](#row_max-stats)
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- [`row_any`](#row_any-stats)
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#### Stats by time buckets
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The following syntax can be used for calculating stats grouped by time buckets:
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@ -2284,12 +2305,13 @@ LogsQL supports the following functions for [`stats` pipe](#stats-pipe):
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- [`count`](#count-stats) returns the number of log entries.
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- [`count_empty`](#count_empty-stats) returns the number logs with empty [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`count_uniq`](#count_uniq-stats) returns the number of unique non-empty values for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`fields_max`](#fields_max-stats) returns the [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with the minimum value at the given field.
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- [`fields_min`](#fields_min-stats) returns the [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with the maximum value at the given field.
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- [`max`](#max-stats) returns the maximum value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`median`](#median-stats) returns the [median](https://en.wikipedia.org/wiki/Median) value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`min`](#min-stats) returns the minumum value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`quantile`](#quantile-stats) returns the given quantile for the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`row_any`](#row_any-stats) returns a sample [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) per each selected [stats group](#stats-by-fields).
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- [`row_max`](#row_max-stats) returns the [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with the minimum value at the given field.
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- [`row_min`](#row_min-stats) returns the [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with the maximum value at the given field.
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- [`sum`](#sum-stats) returns the sum for the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`sum_len`](#sum_len-stats) returns the sum of lengths for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`uniq_values`](#uniq_values-stats) returns unique non-empty values for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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@ -2397,59 +2419,6 @@ See also:
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- [`uniq_values`](#uniq_values-stats)
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- [`count`](#count-stats)
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### fields_max stats
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`fields_max(field)` [stats pipe function](#stats-pipe-functions) returns [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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with the maximum value for the given `field`. Log entry is returned as JSON-encoded dictionary with all the fields from the original log.
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For example, the following query returns log entry with the maximum value for the `duration` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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across logs for the last 5 minutes:
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```logsql
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_time:5m | stats fields_max(duration) as log_with_max_duration
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```
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Fields from the returned values can be decoded with [`unpack_json`](#unpack_json-pipe) or [`extract`](#extract-pipe) pipes.
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If only the specific fields are needed from the returned log entry, then they can be enumerated inside `fields_max(...)`.
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For example, the following query returns only `_time`, `path` and `duration` fields from the log entry with the maximum `duration` over the last 5 minutes:
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```logsql
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_time:5m | stats fields_max(duration, _time, path, duration) as time_and_ip_with_max_duration
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```
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See also:
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- [`max`](#max-stats)
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- [`fields_min`](#fields_min-stats)
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### fields_min stats
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`fields_min(field)` [stats pipe function](#stats-pipe-functions) returns [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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with the minimum value for the given `field`. Log entry is returned as JSON-encoded dictionary with all the fields from the original log.
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For example, the following query returns log entry with the minimum value for the `duration` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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across logs for the last 5 minutes:
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```logsql
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_time:5m | stats fields_min(duration) as log_with_min_duration
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```
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Fields from the returned values can be decoded with [`unpack_json`](#unpack_json-pipe) or [`extract`](#extract-pipe) pipes.
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If only the specific fields are needed from the returned log entry, then they can be enumerated inside `fields_max(...)`.
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For example, the following query returns only `_time`, `path` and `duration` fields from the log entry with the minimum `duration` over the last 5 minutes:
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```logsql
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_time:5m | stats fields_min(duration, _time, path, duration) as time_and_ip_with_min_duration
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```
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See also:
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- [`min`](#min-stats)
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- [`fields_max`](#fields_max-stats)
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### max stats
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`max(field1, ..., fieldN)` [stats pipe function](#stats-pipe-functions) returns the maximum value across
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@ -2462,11 +2431,11 @@ over logs for the last 5 minutes:
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_time:5m | stats max(duration) max_duration
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```
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[`fields_max`](#fields_max-stats) function can be used for obtaining other fields with the maximum duration.
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[`row_max`](#row_max-stats) function can be used for obtaining other fields with the maximum duration.
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See also:
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- [`fields_max`](#fields_max-stats)
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- [`row_max`](#row_max-stats)
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- [`min`](#min-stats)
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- [`quantile`](#quantile-stats)
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- [`avg`](#avg-stats)
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@ -2500,11 +2469,11 @@ over logs for the last 5 minutes:
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_time:5m | stats min(duration) min_duration
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```
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[`fields_min`](#fields_min-stats) function can be used for obtaining other fields with the minimum duration.
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[`row_min`](#row_min-stats) function can be used for obtaining other fields with the minimum duration.
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See also:
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- [`fields_min`](#fields_min-stats)
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- [`row_min`](#row_min-stats)
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- [`max`](#max-stats)
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- [`quantile`](#quantile-stats)
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- [`avg`](#avg-stats)
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@ -2532,6 +2501,86 @@ See also:
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- [`median`](#median-stats)
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- [`avg`](#avg-stats)
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### row_any stats
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`row_any()` [stats pipe function](#stats-pipe-functions) returns arbitrary [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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(aka sample) per each selected [stats group](#stats-by-fields). Log entry is returned as JSON-encoded dictionary with all the fields from the original log.
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For example, the following query returns a sample log entry per each [`_stream`](https://docs.victoriametrics.com/victorialogs/keyconcepts/#stream-fields)
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across logs for the last 5 minutes:
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```logsql
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_time:5m | stats by (_stream) row_any() as sample_row
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```
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Fields from the returned values can be decoded with [`unpack_json`](#unpack_json-pipe) or [`extract`](#extract-pipe) pipes.
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If only the specific fields are needed, then they can be enumerated inside `row_any(...)`.
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For example, the following query returns only `_time`, `path` and `duration` fields from a sample log entry for logs over the last 5 minutes:
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```logsql
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_time:5m | stats row_any(_time, path) as time_and_path_sample
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```
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See also:
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- [`row_max`](#row_max-stats)
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- [`row_min`](#row_min-stats)
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### row_max stats
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`row_max(field)` [stats pipe function](#stats-pipe-functions) returns [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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with the maximum value for the given `field`. Log entry is returned as JSON-encoded dictionary with all the fields from the original log.
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For example, the following query returns log entry with the maximum value for the `duration` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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across logs for the last 5 minutes:
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```logsql
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_time:5m | stats row_max(duration) as log_with_max_duration
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```
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Fields from the returned values can be decoded with [`unpack_json`](#unpack_json-pipe) or [`extract`](#extract-pipe) pipes.
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If only the specific fields are needed from the returned log entry, then they can be enumerated inside `row_max(...)`.
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For example, the following query returns only `_time`, `path` and `duration` fields from the log entry with the maximum `duration` over the last 5 minutes:
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```logsql
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_time:5m | stats row_max(duration, _time, path, duration) as time_and_path_with_max_duration
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```
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See also:
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- [`max`](#max-stats)
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- [`row_min`](#row_min-stats)
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- [`row_any`](#row_any-stats)
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### row_min stats
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`row_min(field)` [stats pipe function](#stats-pipe-functions) returns [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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with the minimum value for the given `field`. Log entry is returned as JSON-encoded dictionary with all the fields from the original log.
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For example, the following query returns log entry with the minimum value for the `duration` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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across logs for the last 5 minutes:
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```logsql
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_time:5m | stats row_min(duration) as log_with_min_duration
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```
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Fields from the returned values can be decoded with [`unpack_json`](#unpack_json-pipe) or [`extract`](#extract-pipe) pipes.
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If only the specific fields are needed from the returned log entry, then they can be enumerated inside `row_max(...)`.
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For example, the following query returns only `_time`, `path` and `duration` fields from the log entry with the minimum `duration` over the last 5 minutes:
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```logsql
|
||||
_time:5m | stats row_min(duration, _time, path, duration) as time_and_path_with_min_duration
|
||||
```
|
||||
|
||||
See also:
|
||||
|
||||
- [`min`](#min-stats)
|
||||
- [`row_max`](#row_max-stats)
|
||||
- [`row_any`](#row_any-stats)
|
||||
|
||||
### sum stats
|
||||
|
||||
`sum(field1, ..., fieldN)` [stats pipe function](#stats-pipe-functions) calculates the sum of numeric values across
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@ aliases:
|
|||
|
||||
[VictoriaLogs](https://docs.victoriametrics.com/victorialogs/) works with both structured and unstructured logs.
|
||||
Every log entry must contain at least [log message field](#message-field) plus arbitrary number of additional `key=value` fields.
|
||||
A single log entry can be expressed as a single-level [JSON](https://www.json.org/json-en.html) object with string keys and values.
|
||||
A single log entry can be expressed as a single-level [JSON](https://www.json.org/json-en.html) object with string keys and string values.
|
||||
For example:
|
||||
|
||||
```json
|
||||
|
|
@ -31,6 +31,30 @@ For example:
|
|||
}
|
||||
```
|
||||
|
||||
Empty values are treated the same as non-existing values. For example, the following log entries are equivalent,
|
||||
since they have only one identical non-empty field - [`_msg`](#message-field):
|
||||
|
||||
```json
|
||||
{
|
||||
"_msg": "foo bar",
|
||||
"some_field": "",
|
||||
"another_field": ""
|
||||
}
|
||||
```
|
||||
|
||||
```json
|
||||
{
|
||||
"_msg": "foo bar",
|
||||
"third_field": "",
|
||||
}
|
||||
```
|
||||
|
||||
```json
|
||||
{
|
||||
"_msg": "foo bar",
|
||||
}
|
||||
```
|
||||
|
||||
VictoriaLogs automatically transforms multi-level JSON (aka nested JSON) into single-level JSON
|
||||
during [data ingestion](https://docs.victoriametrics.com/victorialogs/data-ingestion/) according to the following rules:
|
||||
|
||||
|
|
|
|||
|
|
@ -28,6 +28,10 @@ func (fs fieldsSet) clone() fieldsSet {
|
|||
return fsNew
|
||||
}
|
||||
|
||||
func (fs fieldsSet) isEmpty() bool {
|
||||
return len(fs) == 0
|
||||
}
|
||||
|
||||
func (fs fieldsSet) getAll() []string {
|
||||
a := make([]string, 0, len(fs))
|
||||
for f := range fs {
|
||||
|
|
|
|||
|
|
@ -117,35 +117,13 @@ func (fa *filterAnd) initByFieldTokens() {
|
|||
byFieldFilters := make(map[string]int)
|
||||
var fieldNames []string
|
||||
|
||||
for _, f := range fa.filters {
|
||||
fieldName := ""
|
||||
var tokens []string
|
||||
|
||||
switch t := f.(type) {
|
||||
case *filterExact:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterExactPrefix:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterPhrase:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterPrefix:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterRegexp:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterSequence:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
}
|
||||
|
||||
mergeFieldTokens := func(fieldName string, tokens []string) {
|
||||
fieldName = getCanonicalColumnName(fieldName)
|
||||
byFieldFilters[fieldName]++
|
||||
if len(tokens) == 0 {
|
||||
return
|
||||
}
|
||||
|
||||
if len(tokens) > 0 {
|
||||
mTokens, ok := m[fieldName]
|
||||
if !ok {
|
||||
fieldNames = append(fieldNames, fieldName)
|
||||
|
|
@ -156,6 +134,33 @@ func (fa *filterAnd) initByFieldTokens() {
|
|||
mTokens[token] = struct{}{}
|
||||
}
|
||||
}
|
||||
|
||||
for _, f := range fa.filters {
|
||||
switch t := f.(type) {
|
||||
case *filterExact:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterExactPrefix:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterPhrase:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterPrefix:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterRegexp:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterSequence:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterOr:
|
||||
bfts := t.getByFieldTokens()
|
||||
for _, bft := range bfts {
|
||||
mergeFieldTokens(bft.field, bft.tokens)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
var byFieldTokens []fieldTokens
|
||||
|
|
|
|||
|
|
@ -426,10 +426,12 @@ func matchAnyValue(bs *blockSearch, ch *columnHeader, bm *bitmap, values map[str
|
|||
|
||||
func matchBloomFilterAnyTokenSet(bs *blockSearch, ch *columnHeader, commonTokens []string, tokenSets [][]string) bool {
|
||||
if len(commonTokens) > 0 {
|
||||
return matchBloomFilterAllTokens(bs, ch, commonTokens)
|
||||
if !matchBloomFilterAllTokens(bs, ch, commonTokens) {
|
||||
return false
|
||||
}
|
||||
}
|
||||
if len(tokenSets) == 0 {
|
||||
return false
|
||||
return len(commonTokens) > 0
|
||||
}
|
||||
if len(tokenSets) > maxTokenSetsToInit || uint64(len(tokenSets)) > 10*bs.bsw.bh.rowsCount {
|
||||
// It is faster to match every row in the block against all the values
|
||||
|
|
@ -471,7 +473,22 @@ func getCommonTokensAndTokenSets(values []string) ([]string, [][]string) {
|
|||
if len(commonTokens) == 0 {
|
||||
return nil, tokenSets
|
||||
}
|
||||
|
||||
// remove commonTokens from tokenSets
|
||||
for i, tokens := range tokenSets {
|
||||
dstTokens := tokens[:0]
|
||||
for _, token := range tokens {
|
||||
if !slices.Contains(commonTokens, token) {
|
||||
dstTokens = append(dstTokens, token)
|
||||
}
|
||||
}
|
||||
if len(dstTokens) == 0 {
|
||||
return commonTokens, nil
|
||||
}
|
||||
tokenSets[i] = dstTokens
|
||||
}
|
||||
|
||||
return commonTokens, tokenSets
|
||||
}
|
||||
|
||||
func getCommonTokens(tokenSets [][]string) []string {
|
||||
|
|
|
|||
|
|
@ -716,6 +716,6 @@ func TestGetCommonTokensAndTokenSets(t *testing.T) {
|
|||
f([]string{"foo", "foo"}, []string{"foo"}, nil)
|
||||
f([]string{"foo", "bar", "bar", "foo"}, nil, [][]string{{"foo"}, {"bar"}, {"bar"}, {"foo"}})
|
||||
f([]string{"foo", "foo bar", "bar foo"}, []string{"foo"}, nil)
|
||||
f([]string{"a foo bar", "bar abc foo", "foo abc a bar"}, []string{"bar", "foo"}, nil)
|
||||
f([]string{"a foo bar", "bar abc foo", "foo abc a bar"}, []string{"bar", "foo"}, [][]string{{"a"}, {"abc"}, {"a", "abc"}})
|
||||
f([]string{"a xfoo bar", "xbar abc foo", "foo abc a bar"}, nil, [][]string{{"a", "bar", "xfoo"}, {"abc", "foo", "xbar"}, {"a", "abc", "bar", "foo"}})
|
||||
}
|
||||
|
|
|
|||
|
|
@ -130,40 +130,45 @@ func (fo *filterOr) initByFieldTokens() {
|
|||
byFieldFilters := make(map[string]int)
|
||||
var fieldNames []string
|
||||
|
||||
for _, f := range fo.filters {
|
||||
fieldName := ""
|
||||
var tokens []string
|
||||
|
||||
switch t := f.(type) {
|
||||
case *filterExact:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterExactPrefix:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterPhrase:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterPrefix:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterRegexp:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
case *filterSequence:
|
||||
fieldName = t.fieldName
|
||||
tokens = t.getTokens()
|
||||
}
|
||||
|
||||
mergeFieldTokens := func(fieldName string, tokens []string) {
|
||||
fieldName = getCanonicalColumnName(fieldName)
|
||||
byFieldFilters[fieldName]++
|
||||
if len(tokens) == 0 {
|
||||
return
|
||||
}
|
||||
|
||||
if len(tokens) > 0 {
|
||||
if _, ok := m[fieldName]; !ok {
|
||||
fieldNames = append(fieldNames, fieldName)
|
||||
}
|
||||
m[fieldName] = append(m[fieldName], tokens)
|
||||
}
|
||||
|
||||
for _, f := range fo.filters {
|
||||
switch t := f.(type) {
|
||||
case *filterExact:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterExactPrefix:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterPhrase:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterPrefix:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterRegexp:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterSequence:
|
||||
tokens := t.getTokens()
|
||||
mergeFieldTokens(t.fieldName, tokens)
|
||||
case *filterAnd:
|
||||
bfts := t.getByFieldTokens()
|
||||
for _, bft := range bfts {
|
||||
mergeFieldTokens(bft.field, bft.tokens)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
var byFieldTokens []fieldTokens
|
||||
|
|
|
|||
|
|
@ -909,15 +909,18 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
f(`* | stats count(foo,*,bar) x`, `* | stats count(*) as x`)
|
||||
f(`* | stats count('') foo`, `* | stats count(_msg) as foo`)
|
||||
f(`* | stats count(foo) ''`, `* | stats count(foo) as _msg`)
|
||||
f(`* | count()`, `* | stats count(*) as "count(*)"`)
|
||||
|
||||
// stats pipe count_empty
|
||||
f(`* | stats count_empty() x`, `* | stats count_empty(*) as x`)
|
||||
f(`* | stats by (x, y) count_empty(a,b,c) x`, `* | stats by (x, y) count_empty(a, b, c) as x`)
|
||||
f(`* | stats by (x, y) count_empty(a,b,c) z`, `* | stats by (x, y) count_empty(a, b, c) as z`)
|
||||
f(`* | count_empty()`, `* | stats count_empty(*) as "count_empty(*)"`)
|
||||
|
||||
// stats pipe sum
|
||||
f(`* | stats Sum(foo) bar`, `* | stats sum(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) SUM(foo,bar,) bar`, `* | stats by (x, y) sum(foo, bar) as bar`)
|
||||
f(`* | stats sum() x`, `* | stats sum(*) as x`)
|
||||
f(`* | sum()`, `* | stats sum(*) as "sum(*)"`)
|
||||
f(`* | stats sum(*) x`, `* | stats sum(*) as x`)
|
||||
f(`* | stats sum(foo,*,bar) x`, `* | stats sum(*) as x`)
|
||||
|
||||
|
|
@ -925,6 +928,7 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
f(`* | stats Max(foo) bar`, `* | stats max(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) MAX(foo,bar,) bar`, `* | stats by (x, y) max(foo, bar) as bar`)
|
||||
f(`* | stats max() x`, `* | stats max(*) as x`)
|
||||
f(`* | max()`, `* | stats max(*) as "max(*)"`)
|
||||
f(`* | stats max(*) x`, `* | stats max(*) as x`)
|
||||
f(`* | stats max(foo,*,bar) x`, `* | stats max(*) as x`)
|
||||
|
||||
|
|
@ -932,22 +936,26 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
f(`* | stats Min(foo) bar`, `* | stats min(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) MIN(foo,bar,) bar`, `* | stats by (x, y) min(foo, bar) as bar`)
|
||||
f(`* | stats min() x`, `* | stats min(*) as x`)
|
||||
f(`* | min()`, `* | stats min(*) as "min(*)"`)
|
||||
f(`* | stats min(*) x`, `* | stats min(*) as x`)
|
||||
f(`* | stats min(foo,*,bar) x`, `* | stats min(*) as x`)
|
||||
|
||||
// stats pipe fields_min
|
||||
f(`* | stats fields_Min(foo) bar`, `* | stats fields_min(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) fields_MIN(foo,bar,) bar`, `* | stats by (x, y) fields_min(foo, bar) as bar`)
|
||||
// stats pipe row_min
|
||||
f(`* | stats row_Min(foo) bar`, `* | stats row_min(foo) as bar`)
|
||||
f(`* | row_Min(foo)`, `* | stats row_min(foo) as "row_min(foo)"`)
|
||||
f(`* | stats BY(x, y, ) row_MIN(foo,bar,) bar`, `* | stats by (x, y) row_min(foo, bar) as bar`)
|
||||
|
||||
// stats pipe avg
|
||||
f(`* | stats Avg(foo) bar`, `* | stats avg(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) AVG(foo,bar,) bar`, `* | stats by (x, y) avg(foo, bar) as bar`)
|
||||
f(`* | stats avg() x`, `* | stats avg(*) as x`)
|
||||
f(`* | avg()`, `* | stats avg(*) as "avg(*)"`)
|
||||
f(`* | stats avg(*) x`, `* | stats avg(*) as x`)
|
||||
f(`* | stats avg(foo,*,bar) x`, `* | stats avg(*) as x`)
|
||||
|
||||
// stats pipe count_uniq
|
||||
f(`* | stats count_uniq(foo) bar`, `* | stats count_uniq(foo) as bar`)
|
||||
f(`* | count_uniq(foo)`, `* | stats count_uniq(foo) as "count_uniq(foo)"`)
|
||||
f(`* | stats by(x, y) count_uniq(foo,bar) LiMit 10 As baz`, `* | stats by (x, y) count_uniq(foo, bar) limit 10 as baz`)
|
||||
f(`* | stats by(x) count_uniq(*) z`, `* | stats by (x) count_uniq(*) as z`)
|
||||
f(`* | stats by(x) count_uniq() z`, `* | stats by (x) count_uniq(*) as z`)
|
||||
|
|
@ -955,6 +963,7 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
|
||||
// stats pipe uniq_values
|
||||
f(`* | stats uniq_values(foo) bar`, `* | stats uniq_values(foo) as bar`)
|
||||
f(`* | uniq_values(foo)`, `* | stats uniq_values(foo) as "uniq_values(foo)"`)
|
||||
f(`* | stats uniq_values(foo) limit 10 bar`, `* | stats uniq_values(foo) limit 10 as bar`)
|
||||
f(`* | stats by(x, y) uniq_values(foo, bar) as baz`, `* | stats by (x, y) uniq_values(foo, bar) as baz`)
|
||||
f(`* | stats by(x) uniq_values(*) y`, `* | stats by (x) uniq_values(*) as y`)
|
||||
|
|
@ -963,6 +972,7 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
|
||||
// stats pipe values
|
||||
f(`* | stats values(foo) bar`, `* | stats values(foo) as bar`)
|
||||
f(`* | values(foo)`, `* | stats values(foo) as "values(foo)"`)
|
||||
f(`* | stats values(foo) limit 10 bar`, `* | stats values(foo) limit 10 as bar`)
|
||||
f(`* | stats by(x, y) values(foo, bar) as baz`, `* | stats by (x, y) values(foo, bar) as baz`)
|
||||
f(`* | stats by(x) values(*) y`, `* | stats by (x) values(*) as y`)
|
||||
|
|
@ -973,6 +983,7 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
f(`* | stats Sum_len(foo) bar`, `* | stats sum_len(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) SUM_Len(foo,bar,) bar`, `* | stats by (x, y) sum_len(foo, bar) as bar`)
|
||||
f(`* | stats sum_len() x`, `* | stats sum_len(*) as x`)
|
||||
f(`* | sum_len()`, `* | stats sum_len(*) as "sum_len(*)"`)
|
||||
f(`* | stats sum_len(*) x`, `* | stats sum_len(*) as x`)
|
||||
f(`* | stats sum_len(foo,*,bar) x`, `* | stats sum_len(*) as x`)
|
||||
|
||||
|
|
@ -981,12 +992,14 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
f(`* | stats quantile(1, foo) bar`, `* | stats quantile(1, foo) as bar`)
|
||||
f(`* | stats quantile(0.5, a, b, c) bar`, `* | stats quantile(0.5, a, b, c) as bar`)
|
||||
f(`* | stats quantile(0.99) bar`, `* | stats quantile(0.99) as bar`)
|
||||
f(`* | quantile(0.99)`, `* | stats quantile(0.99) as "quantile(0.99)"`)
|
||||
f(`* | stats quantile(0.99, a, *, b) bar`, `* | stats quantile(0.99) as bar`)
|
||||
|
||||
// stats pipe median
|
||||
f(`* | stats Median(foo) bar`, `* | stats median(foo) as bar`)
|
||||
f(`* | stats BY(x, y, ) MEDIAN(foo,bar,) bar`, `* | stats by (x, y) median(foo, bar) as bar`)
|
||||
f(`* | stats median() x`, `* | stats median(*) as x`)
|
||||
f(`* | median()`, `* | stats median(*) as "median(*)"`)
|
||||
f(`* | stats median(*) x`, `* | stats median(*) as x`)
|
||||
f(`* | stats median(foo,*,bar) x`, `* | stats median(*) as x`)
|
||||
|
||||
|
|
@ -995,7 +1008,7 @@ func TestParseQuerySuccess(t *testing.T) {
|
|||
f(`* | stats by (x, y) count(*) foo, count_uniq(a,b) bar`, `* | stats by (x, y) count(*) as foo, count_uniq(a, b) as bar`)
|
||||
|
||||
// stats pipe with grouping buckets
|
||||
f(`* | stats by(_time:1d, response_size:1_000KiB, request_duration:5s, foo) count() as foo`, `* | stats by (_time:1d, response_size:1_000KiB, request_duration:5s, foo) count(*) as foo`)
|
||||
f(`* | stats by(_time:1d, response_size:1_000KiB, request_duration:5s, foo) count() as bar`, `* | stats by (_time:1d, response_size:1_000KiB, request_duration:5s, foo) count(*) as bar`)
|
||||
f(`*|stats by(client_ip:/24, server_ip:/16) count() foo`, `* | stats by (client_ip:/24, server_ip:/16) count(*) as foo`)
|
||||
f(`* | stats by(_time:1d offset 2h) count() as foo`, `* | stats by (_time:1d offset 2h) count(*) as foo`)
|
||||
f(`* | stats by(_time:1d offset -2.5h5m) count() as foo`, `* | stats by (_time:1d offset -2.5h5m) count(*) as foo`)
|
||||
|
|
@ -1357,7 +1370,6 @@ func TestParseQueryFailure(t *testing.T) {
|
|||
f(`foo | stats count(`)
|
||||
f(`foo | stats count bar`)
|
||||
f(`foo | stats count(bar`)
|
||||
f(`foo | stats count(bar)`)
|
||||
f(`foo | stats count() as`)
|
||||
f(`foo | stats count() as |`)
|
||||
|
||||
|
|
@ -1368,27 +1380,21 @@ func TestParseQueryFailure(t *testing.T) {
|
|||
|
||||
// invalid stats sum
|
||||
f(`foo | stats sum`)
|
||||
f(`foo | stats sum()`)
|
||||
|
||||
// invalid stats max
|
||||
f(`foo | stats max`)
|
||||
f(`foo | stats max()`)
|
||||
|
||||
// invalid stats min
|
||||
f(`foo | stats min`)
|
||||
f(`foo | stats min()`)
|
||||
|
||||
// invalid stats min
|
||||
f(`foo | stats fields_min`)
|
||||
f(`foo | stats fields_min()`)
|
||||
f(`foo | stats row_min`)
|
||||
|
||||
// invalid stats avg
|
||||
f(`foo | stats avg`)
|
||||
f(`foo | stats avg()`)
|
||||
|
||||
// invalid stats count_uniq
|
||||
f(`foo | stats count_uniq`)
|
||||
f(`foo | stats count_uniq()`)
|
||||
f(`foo | stats count_uniq() limit`)
|
||||
f(`foo | stats count_uniq() limit foo`)
|
||||
f(`foo | stats count_uniq() limit 0.5`)
|
||||
|
|
@ -1396,7 +1402,6 @@ func TestParseQueryFailure(t *testing.T) {
|
|||
|
||||
// invalid stats uniq_values
|
||||
f(`foo | stats uniq_values`)
|
||||
f(`foo | stats uniq_values()`)
|
||||
f(`foo | stats uniq_values() limit`)
|
||||
f(`foo | stats uniq_values(a) limit foo`)
|
||||
f(`foo | stats uniq_values(a) limit 0.5`)
|
||||
|
|
@ -1404,7 +1409,6 @@ func TestParseQueryFailure(t *testing.T) {
|
|||
|
||||
// invalid stats values
|
||||
f(`foo | stats values`)
|
||||
f(`foo | stats values()`)
|
||||
f(`foo | stats values() limit`)
|
||||
f(`foo | stats values(a) limit foo`)
|
||||
f(`foo | stats values(a) limit 0.5`)
|
||||
|
|
@ -1412,7 +1416,6 @@ func TestParseQueryFailure(t *testing.T) {
|
|||
|
||||
// invalid stats sum_len
|
||||
f(`foo | stats sum_len`)
|
||||
f(`foo | stats sum_len()`)
|
||||
|
||||
// invalid stats quantile
|
||||
f(`foo | stats quantile`)
|
||||
|
|
@ -1436,6 +1439,12 @@ func TestParseQueryFailure(t *testing.T) {
|
|||
f(`foo | stats by(bar,`)
|
||||
f(`foo | stats by(bar)`)
|
||||
|
||||
// duplicate stats result names
|
||||
f(`foo | stats min() x, max() x`)
|
||||
|
||||
// stats result names identical to by fields
|
||||
f(`foo | stats by (x) count() x`)
|
||||
|
||||
// invalid sort pipe
|
||||
f(`foo | sort bar`)
|
||||
f(`foo | sort by`)
|
||||
|
|
@ -1513,10 +1522,10 @@ func TestQueryGetNeededColumns(t *testing.T) {
|
|||
unneededColumns := strings.Join(unneeded, ",")
|
||||
|
||||
if neededColumns != neededColumnsExpected {
|
||||
t.Fatalf("unexpected neededColumns; got %q; want %q", neededColumns, neededColumnsExpected)
|
||||
t.Fatalf("unexpected neededColumns for [%s]; got %q; want %q", s, neededColumns, neededColumnsExpected)
|
||||
}
|
||||
if unneededColumns != unneededColumnsExpected {
|
||||
t.Fatalf("unexpected unneededColumns; got %q; want %q", unneededColumns, unneededColumnsExpected)
|
||||
t.Fatalf("unexpected unneededColumns for [%s]; got %q; want %q", s, unneededColumns, unneededColumnsExpected)
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -1542,7 +1551,6 @@ func TestQueryGetNeededColumns(t *testing.T) {
|
|||
f(`* | fields f1, f2 | mv f1 f3, f4 f5`, `f1,f2`, ``)
|
||||
f(`* | fields f1, f2 | mv f2 f3, f4 f5`, `f1,f2`, ``)
|
||||
f(`* | fields f1, f2 | mv f2 f3, f4 f1`, `f2`, ``)
|
||||
f(`* | fields f1, f2 | stats count() r1`, ``, ``)
|
||||
f(`* | fields f1, f2 | stats count_uniq() r1`, `f1,f2`, ``)
|
||||
f(`* | fields f1, f2 | stats count(f1) r1`, `f1`, ``)
|
||||
f(`* | fields f1, f2 | stats count(f1,f2,f3) r1`, `f1,f2`, ``)
|
||||
|
|
@ -1553,7 +1561,7 @@ func TestQueryGetNeededColumns(t *testing.T) {
|
|||
f(`* | fields f1, f2 | sort by(f3)`, `f1,f2`, ``)
|
||||
f(`* | fields f1, f2 | sort by(f1,f3)`, `f1,f2`, ``)
|
||||
f(`* | fields f1, f2 | sort by(f3) | stats count() r1`, ``, ``)
|
||||
f(`* | fields f1, f2 | sort by(f1) | stats count() r1`, `f1`, ``)
|
||||
f(`* | fields f1, f2 | sort by(f1) | stats count() r1`, ``, ``)
|
||||
f(`* | fields f1, f2 | sort by(f1) | stats count(f2,f3) r1`, `f1,f2`, ``)
|
||||
f(`* | fields f1, f2 | sort by(f3) | fields f2`, `f2`, ``)
|
||||
f(`* | fields f1, f2 | sort by(f1,f3) | fields f2`, `f1,f2`, ``)
|
||||
|
|
@ -1619,12 +1627,12 @@ func TestQueryGetNeededColumns(t *testing.T) {
|
|||
f(`* | stats count_uniq() q`, `*`, ``)
|
||||
f(`* | stats count_uniq(*) q`, `*`, ``)
|
||||
f(`* | stats count_uniq(x) q`, `x`, ``)
|
||||
f(`* | stats fields_max(a) q`, `*`, ``)
|
||||
f(`* | stats fields_max(a, *) q`, `*`, ``)
|
||||
f(`* | stats fields_max(a, x) q`, `a,x`, ``)
|
||||
f(`* | stats fields_min(a) q`, `*`, ``)
|
||||
f(`* | stats fields_min(a, *) q`, `*`, ``)
|
||||
f(`* | stats fields_min(a, x) q`, `a,x`, ``)
|
||||
f(`* | stats row_max(a) q`, `*`, ``)
|
||||
f(`* | stats row_max(a, *) q`, `*`, ``)
|
||||
f(`* | stats row_max(a, x) q`, `a,x`, ``)
|
||||
f(`* | stats row_min(a) q`, `*`, ``)
|
||||
f(`* | stats row_min(a, *) q`, `*`, ``)
|
||||
f(`* | stats row_min(a, x) q`, `a,x`, ``)
|
||||
f(`* | stats min() q`, `*`, ``)
|
||||
f(`* | stats min(*) q`, `*`, ``)
|
||||
f(`* | stats min(x) q`, `x`, ``)
|
||||
|
|
@ -1776,11 +1784,51 @@ func TestQueryGetNeededColumns(t *testing.T) {
|
|||
f(`* | rm f1, f2 | mv f2 f3 | sort by(f1)`, `*`, `f1,f2,f3`)
|
||||
f(`* | rm f1, f2 | fields f3`, `f3`, ``)
|
||||
f(`* | rm f1, f2 | fields f1,f3`, `f3`, ``)
|
||||
f(`* | rm f1, f2 | stats count() f1`, ``, ``)
|
||||
f(`* | rm f1, f2 | stats count(f3) r1`, `f3`, ``)
|
||||
f(`* | rm f1, f2 | stats count(f1) r1`, ``, ``)
|
||||
f(`* | rm f1, f2 | stats count(f1,f3) r1`, `f3`, ``)
|
||||
f(`* | rm f1, f2 | stats by(f1) count(f2) r1`, ``, ``)
|
||||
f(`* | rm f1, f2 | stats by(f3) count(f2) r1`, `f3`, ``)
|
||||
f(`* | rm f1, f2 | stats by(f3) count(f4) r1`, `f3,f4`, ``)
|
||||
|
||||
// Verify that fields are correctly tracked before count(*)
|
||||
f(`* | copy a b, c d | count() r1`, ``, ``)
|
||||
f(`* | delete a, b | count() r1`, ``, ``)
|
||||
f(`* | extract "<f1>bar" from x | count() r1`, ``, ``)
|
||||
f(`* | extract if (q:w p:a) "<f1>bar" from x | count() r1`, `p,q`, ``)
|
||||
f(`* | extract_regexp "(?P<f1>.*)bar" from x | count() r1`, ``, ``)
|
||||
f(`* | extract_regexp if (q:w p:a) "(?P<f1>.*)bar" from x | count() r1`, `p,q`, ``)
|
||||
f(`* | field_names | count() r1`, `*`, `_time`)
|
||||
f(`* | limit 10 | field_names as abc | count() r1`, `*`, ``)
|
||||
f(`* | fields a, b | count() r1`, ``, ``)
|
||||
f(`* | field_values a | count() r1`, `a`, ``)
|
||||
f(`* | limit 10 | filter a:b c:d | count() r1`, `a,c`, ``)
|
||||
f(`* | limit 10 | count() r1`, ``, ``)
|
||||
f(`* | format "<a><b>" as c | count() r1`, ``, ``)
|
||||
f(`* | format if (q:w p:a) "<a><b>" as c | count() r1`, `p,q`, ``)
|
||||
f(`* | math (a + b) as c, d * 2 as x | count() r1`, ``, ``)
|
||||
f(`* | offset 10 | count() r1`, ``, ``)
|
||||
f(`* | pack_json | count() r1`, ``, ``)
|
||||
f(`* | pack_json fields(a,b) | count() r1`, ``, ``)
|
||||
f(`* | rename a b, c d | count() r1`, ``, ``)
|
||||
f(`* | replace ("a", "b") at x | count() r1`, ``, ``)
|
||||
f(`* | replace if (q:w p:a) ("a", "b") at x | count() r1`, `p,q`, ``)
|
||||
f(`* | replace_regexp ("a", "b") at x | count() r1`, ``, ``)
|
||||
f(`* | replace_regexp if (q:w p:a) ("a", "b") at x | count() r1`, `p,q`, ``)
|
||||
f(`* | sort by (a,b) | count() r1`, ``, ``)
|
||||
f(`* | stats count_uniq(a, b) as c | count() r1`, ``, ``)
|
||||
f(`* | stats count_uniq(a, b) if (q:w p:a) as c | count() r1`, ``, ``)
|
||||
f(`* | stats by (a1,a2) count_uniq(a, b) as c | count() r1`, `a1,a2`, ``)
|
||||
f(`* | stats by (a1,a2) count_uniq(a, b) if (q:w p:a) as c | count() r1`, `a1,a2`, ``)
|
||||
f(`* | uniq by (a, b) | count() r1`, `a,b`, ``)
|
||||
f(`* | unpack_json from x | count() r1`, ``, ``)
|
||||
f(`* | unpack_json from x fields (a,b) | count() r1`, ``, ``)
|
||||
f(`* | unpack_json if (q:w p:a) from x | count() r1`, `p,q`, ``)
|
||||
f(`* | unpack_json if (q:w p:a) from x fields(a,b) | count() r1`, `p,q`, ``)
|
||||
f(`* | unpack_logfmt from x | count() r1`, ``, ``)
|
||||
f(`* | unpack_logfmt from x fields (a,b) | count() r1`, ``, ``)
|
||||
f(`* | unpack_logfmt if (q:w p:a) from x | count() r1`, `p,q`, ``)
|
||||
f(`* | unpack_logfmt if (q:w p:a) from x fields(a,b) | count() r1`, `p,q`, ``)
|
||||
f(`* | unroll (a, b) | count() r1`, `a,b`, ``)
|
||||
f(`* | unroll if (q:w p:a) (a, b) | count() r1`, `a,b,p,q`, ``)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -24,10 +24,8 @@ func (pd *pipeDelete) String() string {
|
|||
|
||||
func (pd *pipeDelete) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.contains("*") {
|
||||
// update only unneeded fields
|
||||
unneededFields.addFields(pd.fields)
|
||||
} else {
|
||||
// update only needed fields
|
||||
neededFields.removeFields(pd.fields)
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -60,6 +60,13 @@ func (pe *pipeExtract) initFilterInValues(cache map[string][]string, getFieldVal
|
|||
}
|
||||
|
||||
func (pe *pipeExtract) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.isEmpty() {
|
||||
if pe.iff != nil {
|
||||
neededFields.addFields(pe.iff.neededFields)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
unneededFieldsOrig := unneededFields.clone()
|
||||
needFromField := false
|
||||
|
|
|
|||
|
|
@ -62,6 +62,13 @@ func (pe *pipeExtractRegexp) initFilterInValues(cache map[string][]string, getFi
|
|||
}
|
||||
|
||||
func (pe *pipeExtractRegexp) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.isEmpty() {
|
||||
if pe.iff != nil {
|
||||
neededFields.addFields(pe.iff.neededFields)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
unneededFieldsOrig := unneededFields.clone()
|
||||
needFromField := false
|
||||
|
|
|
|||
|
|
@ -22,6 +22,11 @@ func (pf *pipeFieldValues) String() string {
|
|||
}
|
||||
|
||||
func (pf *pipeFieldValues) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.isEmpty() {
|
||||
neededFields.add(pf.field)
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
neededFields.reset()
|
||||
if !unneededFields.contains(pf.field) {
|
||||
|
|
|
|||
|
|
@ -29,6 +29,7 @@ func (pf *pipeFields) updateNeededFields(neededFields, unneededFields fieldsSet)
|
|||
if pf.containsStar {
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
// subtract unneeded fields from pf.fields
|
||||
neededFields.reset()
|
||||
|
|
|
|||
|
|
@ -43,6 +43,13 @@ func (pf *pipeFormat) String() string {
|
|||
}
|
||||
|
||||
func (pf *pipeFormat) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.isEmpty() {
|
||||
if pf.iff != nil {
|
||||
neededFields.addFields(pf.iff.neededFields)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
if !unneededFields.contains(pf.resultField) {
|
||||
if !pf.keepOriginalFields && !pf.skipEmptyResults {
|
||||
|
|
|
|||
|
|
@ -161,6 +161,10 @@ var mathBinaryOps = map[string]mathBinaryOp{
|
|||
priority: 3,
|
||||
f: mathFuncMinus,
|
||||
},
|
||||
"default": {
|
||||
priority: 10,
|
||||
f: mathFuncDefault,
|
||||
},
|
||||
}
|
||||
|
||||
type mathBinaryOp struct {
|
||||
|
|
@ -175,26 +179,19 @@ func (pm *pipeMath) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
|||
if !unneededFields.contains(e.resultField) {
|
||||
unneededFields.add(e.resultField)
|
||||
|
||||
entryFields := e.getNeededFields()
|
||||
unneededFields.removeFields(entryFields)
|
||||
fs := newFieldsSet()
|
||||
e.expr.updateNeededFields(fs)
|
||||
unneededFields.removeFields(fs.getAll())
|
||||
}
|
||||
} else {
|
||||
if neededFields.contains(e.resultField) {
|
||||
neededFields.remove(e.resultField)
|
||||
|
||||
entryFields := e.getNeededFields()
|
||||
neededFields.addFields(entryFields)
|
||||
e.expr.updateNeededFields(neededFields)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func (me *mathEntry) getNeededFields() []string {
|
||||
neededFields := newFieldsSet()
|
||||
me.expr.updateNeededFields(neededFields)
|
||||
return neededFields.getAll()
|
||||
}
|
||||
|
||||
func (me *mathExpr) updateNeededFields(neededFields fieldsSet) {
|
||||
if me.isConst {
|
||||
return
|
||||
|
|
@ -387,15 +384,21 @@ func parseMathEntry(lex *lexer) (*mathEntry, error) {
|
|||
return nil, err
|
||||
}
|
||||
|
||||
// skip optional 'as'
|
||||
resultField := ""
|
||||
if lex.isKeyword(",", "|", ")", "") {
|
||||
resultField = me.String()
|
||||
} else {
|
||||
if lex.isKeyword("as") {
|
||||
// skip optional 'as'
|
||||
lex.nextToken()
|
||||
}
|
||||
|
||||
resultField, err := parseFieldName(lex)
|
||||
fieldName, err := parseFieldName(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse result name for [%s]: %w", me, err)
|
||||
}
|
||||
resultField = fieldName
|
||||
}
|
||||
|
||||
e := &mathEntry{
|
||||
resultField: resultField,
|
||||
|
|
@ -476,6 +479,10 @@ func parseMathExprOperand(lex *lexer) (*mathExpr, error) {
|
|||
switch {
|
||||
case lex.isKeyword("abs"):
|
||||
return parseMathExprAbs(lex)
|
||||
case lex.isKeyword("exp"):
|
||||
return parseMathExprExp(lex)
|
||||
case lex.isKeyword("ln"):
|
||||
return parseMathExprLn(lex)
|
||||
case lex.isKeyword("max"):
|
||||
return parseMathExprMax(lex)
|
||||
case lex.isKeyword("min"):
|
||||
|
|
@ -506,6 +513,28 @@ func parseMathExprAbs(lex *lexer) (*mathExpr, error) {
|
|||
return me, nil
|
||||
}
|
||||
|
||||
func parseMathExprExp(lex *lexer) (*mathExpr, error) {
|
||||
me, err := parseMathExprGenericFunc(lex, "exp", mathFuncExp)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if len(me.args) != 1 {
|
||||
return nil, fmt.Errorf("'exp' function accepts only one arg; got %d args: [%s]", len(me.args), me)
|
||||
}
|
||||
return me, nil
|
||||
}
|
||||
|
||||
func parseMathExprLn(lex *lexer) (*mathExpr, error) {
|
||||
me, err := parseMathExprGenericFunc(lex, "ln", mathFuncLn)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if len(me.args) != 1 {
|
||||
return nil, fmt.Errorf("'ln' function accepts only one arg; got %d args: [%s]", len(me.args), me)
|
||||
}
|
||||
return me, nil
|
||||
}
|
||||
|
||||
func parseMathExprMax(lex *lexer) (*mathExpr, error) {
|
||||
me, err := parseMathExprGenericFunc(lex, "max", mathFuncMax)
|
||||
if err != nil {
|
||||
|
|
@ -707,6 +736,18 @@ func mathFuncPow(result []float64, args [][]float64) {
|
|||
}
|
||||
}
|
||||
|
||||
func mathFuncDefault(result []float64, args [][]float64) {
|
||||
values := args[0]
|
||||
defaultValues := args[1]
|
||||
for i := range result {
|
||||
f := values[i]
|
||||
if math.IsNaN(f) {
|
||||
f = defaultValues[i]
|
||||
}
|
||||
result[i] = f
|
||||
}
|
||||
}
|
||||
|
||||
func mathFuncAbs(result []float64, args [][]float64) {
|
||||
arg := args[0]
|
||||
for i := range result {
|
||||
|
|
@ -714,6 +755,20 @@ func mathFuncAbs(result []float64, args [][]float64) {
|
|||
}
|
||||
}
|
||||
|
||||
func mathFuncExp(result []float64, args [][]float64) {
|
||||
arg := args[0]
|
||||
for i := range result {
|
||||
result[i] = math.Exp(arg[i])
|
||||
}
|
||||
}
|
||||
|
||||
func mathFuncLn(result []float64, args [][]float64) {
|
||||
arg := args[0]
|
||||
for i := range result {
|
||||
result[i] = math.Log(arg[i])
|
||||
}
|
||||
}
|
||||
|
||||
func mathFuncUnaryMinus(result []float64, args [][]float64) {
|
||||
arg := args[0]
|
||||
for i := range result {
|
||||
|
|
|
|||
|
|
@ -22,6 +22,8 @@ func TestParsePipeMathSuccess(t *testing.T) {
|
|||
f(`math min(3, foo, (1 + bar) / baz) as a, max(a, b) as b, (abs(c) + 5) as d`)
|
||||
f(`math round(foo) as x`)
|
||||
f(`math round(foo, 0.1) as y`)
|
||||
f(`math (a / b default 10) as z`)
|
||||
f(`math (ln(a) + exp(b)) as x`)
|
||||
}
|
||||
|
||||
func TestParsePipeMathFailure(t *testing.T) {
|
||||
|
|
@ -31,7 +33,6 @@ func TestParsePipeMathFailure(t *testing.T) {
|
|||
}
|
||||
|
||||
f(`math`)
|
||||
f(`math x`)
|
||||
f(`math x as`)
|
||||
f(`math abs() as x`)
|
||||
f(`math abs(a, b) as x`)
|
||||
|
|
@ -63,6 +64,94 @@ func TestPipeMath(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("math a / b default c", [][]Field{
|
||||
{
|
||||
{"a", "v1"},
|
||||
{"b", "2"},
|
||||
{"c", "3"},
|
||||
},
|
||||
{
|
||||
{"a", "0"},
|
||||
{"b", "0"},
|
||||
{"c", "3"},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"b", "2"},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"b", "foo"},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"a", "v1"},
|
||||
{"b", "2"},
|
||||
{"c", "3"},
|
||||
{"a / b default c", "3"},
|
||||
},
|
||||
{
|
||||
{"a", "0"},
|
||||
{"b", "0"},
|
||||
{"c", "3"},
|
||||
{"a / b default c", "3"},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"b", "2"},
|
||||
{"a / b default c", "1.5"},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"b", "foo"},
|
||||
{"a / b default c", "NaN"},
|
||||
},
|
||||
})
|
||||
|
||||
f("math round(exp(a), 0.01), round(ln(a), 0.01)", [][]Field{
|
||||
{
|
||||
{"a", "v1"},
|
||||
},
|
||||
{
|
||||
{"a", "0"},
|
||||
},
|
||||
{
|
||||
{"a", "1"},
|
||||
},
|
||||
{
|
||||
{"a", "2"},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"a", "v1"},
|
||||
{"round(exp(a), 0.01)", "NaN"},
|
||||
{"round(ln(a), 0.01)", "NaN"},
|
||||
},
|
||||
{
|
||||
{"a", "0"},
|
||||
{"round(exp(a), 0.01)", "1"},
|
||||
{"round(ln(a), 0.01)", "NaN"},
|
||||
},
|
||||
{
|
||||
{"a", "1"},
|
||||
{"round(exp(a), 0.01)", "2.72"},
|
||||
{"round(ln(a), 0.01)", "0"},
|
||||
},
|
||||
{
|
||||
{"a", "2"},
|
||||
{"round(exp(a), 0.01)", "7.39"},
|
||||
{"round(ln(a), 0.01)", "0.69"},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"round(exp(a), 0.01)", "20.09"},
|
||||
{"round(ln(a), 0.01)", "1.1"},
|
||||
},
|
||||
})
|
||||
|
||||
f("math 1 as a", [][]Field{
|
||||
{
|
||||
{"a", "v1"},
|
||||
|
|
|
|||
|
|
@ -56,6 +56,10 @@ func (ps *pipeSort) String() string {
|
|||
}
|
||||
|
||||
func (ps *pipeSort) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.isEmpty() {
|
||||
return
|
||||
}
|
||||
|
||||
if len(ps.byFields) == 0 {
|
||||
neededFields.add("*")
|
||||
unneededFields.reset()
|
||||
|
|
|
|||
|
|
@ -545,9 +545,17 @@ func parsePipeStats(lex *lexer, needStatsKeyword bool) (*pipeStats, error) {
|
|||
ps.byFields = bfs
|
||||
}
|
||||
|
||||
seenByFields := make(map[string]*byStatsField, len(ps.byFields))
|
||||
for _, bf := range ps.byFields {
|
||||
seenByFields[bf.name] = bf
|
||||
}
|
||||
|
||||
seenResultNames := make(map[string]statsFunc)
|
||||
|
||||
var funcs []pipeStatsFunc
|
||||
for {
|
||||
var f pipeStatsFunc
|
||||
|
||||
sf, err := parseStatsFunc(lex)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
|
|
@ -557,15 +565,31 @@ func parsePipeStats(lex *lexer, needStatsKeyword bool) (*pipeStats, error) {
|
|||
if lex.isKeyword("if") {
|
||||
iff, err := parseIfFilter(lex)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
return nil, fmt.Errorf("cannot parse 'if' filter for [%s]: %w", sf, err)
|
||||
}
|
||||
f.iff = iff
|
||||
}
|
||||
|
||||
resultName, err := parseResultName(lex)
|
||||
resultName := ""
|
||||
if lex.isKeyword(",", "|", ")", "") {
|
||||
resultName = sf.String()
|
||||
} else {
|
||||
if lex.isKeyword("as") {
|
||||
lex.nextToken()
|
||||
}
|
||||
fieldName, err := parseFieldName(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse result name for [%s]: %w", sf, err)
|
||||
}
|
||||
resultName = fieldName
|
||||
}
|
||||
if bf := seenByFields[resultName]; bf != nil {
|
||||
return nil, fmt.Errorf("the %q is used as 'by' field [%s], so it cannot be used as result name for [%s]", resultName, bf, sf)
|
||||
}
|
||||
if sfPrev := seenResultNames[resultName]; sfPrev != nil {
|
||||
return nil, fmt.Errorf("cannot use identical result name %q for [%s] and [%s]", resultName, sfPrev, sf)
|
||||
}
|
||||
seenResultNames[resultName] = sf
|
||||
f.resultName = resultName
|
||||
|
||||
funcs = append(funcs, f)
|
||||
|
|
@ -575,7 +599,7 @@ func parsePipeStats(lex *lexer, needStatsKeyword bool) (*pipeStats, error) {
|
|||
return &ps, nil
|
||||
}
|
||||
if !lex.isKeyword(",") {
|
||||
return nil, fmt.Errorf("unexpected token %q; want ',', '|' or ')'", lex.token)
|
||||
return nil, fmt.Errorf("unexpected token %q after [%s]; want ',', '|' or ')'", sf, lex.token)
|
||||
}
|
||||
lex.nextToken()
|
||||
}
|
||||
|
|
@ -607,18 +631,6 @@ func parseStatsFunc(lex *lexer) (statsFunc, error) {
|
|||
return nil, fmt.Errorf("cannot parse 'count_uniq' func: %w", err)
|
||||
}
|
||||
return sus, nil
|
||||
case lex.isKeyword("fields_max"):
|
||||
sms, err := parseStatsFieldsMax(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'fields_max' func: %w", err)
|
||||
}
|
||||
return sms, nil
|
||||
case lex.isKeyword("fields_min"):
|
||||
sms, err := parseStatsFieldsMin(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'fields_min' func: %w", err)
|
||||
}
|
||||
return sms, nil
|
||||
case lex.isKeyword("max"):
|
||||
sms, err := parseStatsMax(lex)
|
||||
if err != nil {
|
||||
|
|
@ -643,6 +655,24 @@ func parseStatsFunc(lex *lexer) (statsFunc, error) {
|
|||
return nil, fmt.Errorf("cannot parse 'quantile' func: %w", err)
|
||||
}
|
||||
return sqs, nil
|
||||
case lex.isKeyword("row_any"):
|
||||
sas, err := parseStatsRowAny(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'row_any' func: %w", err)
|
||||
}
|
||||
return sas, nil
|
||||
case lex.isKeyword("row_max"):
|
||||
sms, err := parseStatsRowMax(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'row_max' func: %w", err)
|
||||
}
|
||||
return sms, nil
|
||||
case lex.isKeyword("row_min"):
|
||||
sms, err := parseStatsRowMin(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'row_min' func: %w", err)
|
||||
}
|
||||
return sms, nil
|
||||
case lex.isKeyword("sum"):
|
||||
sss, err := parseStatsSum(lex)
|
||||
if err != nil {
|
||||
|
|
@ -672,17 +702,6 @@ func parseStatsFunc(lex *lexer) (statsFunc, error) {
|
|||
}
|
||||
}
|
||||
|
||||
func parseResultName(lex *lexer) (string, error) {
|
||||
if lex.isKeyword("as") {
|
||||
lex.nextToken()
|
||||
}
|
||||
resultName, err := parseFieldName(lex)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
return resultName, nil
|
||||
}
|
||||
|
||||
var zeroByStatsField = &byStatsField{}
|
||||
|
||||
// byStatsField represents 'by (...)' part of the pipeStats.
|
||||
|
|
|
|||
|
|
@ -39,8 +39,8 @@ func TestPipeStats(t *testing.T) {
|
|||
expectPipeResults(t, pipeStr, rows, rowsExpected)
|
||||
}
|
||||
|
||||
// missing 'stats' keyword
|
||||
f("count(*) as rows", [][]Field{
|
||||
// missing 'stats' keyword and resutl name
|
||||
f("count(*)", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -56,7 +56,7 @@ func TestPipeStats(t *testing.T) {
|
|||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"rows", "3"},
|
||||
{`count(*)`, "3"},
|
||||
},
|
||||
})
|
||||
|
||||
|
|
|
|||
|
|
@ -7,6 +7,13 @@ import (
|
|||
)
|
||||
|
||||
func updateNeededFieldsForUnpackPipe(fromField string, outFields []string, keepOriginalFields, skipEmptyResults bool, iff *ifFilter, neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.isEmpty() {
|
||||
if iff != nil {
|
||||
neededFields.addFields(iff.neededFields)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
unneededFieldsOrig := unneededFields.clone()
|
||||
unneededFieldsCount := 0
|
||||
|
|
|
|||
|
|
@ -52,25 +52,15 @@ func (pu *pipeUnroll) initFilterInValues(cache map[string][]string, getFieldValu
|
|||
|
||||
func (pu *pipeUnroll) updateNeededFields(neededFields, unneededFields fieldsSet) {
|
||||
if neededFields.contains("*") {
|
||||
unneededFieldsCount := 0
|
||||
for _, f := range pu.fields {
|
||||
if unneededFields.contains(f) {
|
||||
unneededFieldsCount++
|
||||
}
|
||||
}
|
||||
if unneededFieldsCount < len(pu.fields) && pu.iff != nil {
|
||||
if pu.iff != nil {
|
||||
unneededFields.removeFields(pu.iff.neededFields)
|
||||
}
|
||||
unneededFields.removeFields(pu.fields)
|
||||
} else {
|
||||
needIfFields := false
|
||||
for _, f := range pu.fields {
|
||||
if neededFields.contains(f) {
|
||||
needIfFields = true
|
||||
}
|
||||
}
|
||||
if needIfFields && pu.iff != nil {
|
||||
if pu.iff != nil {
|
||||
neededFields.addFields(pu.iff.neededFields)
|
||||
}
|
||||
neededFields.addFields(pu.fields)
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -225,13 +225,13 @@ func TestPipeUnrollUpdateNeededFields(t *testing.T) {
|
|||
f("unroll if (f1:b) (x)", "*", "f1,f2", "*", "f2")
|
||||
|
||||
// all the needed fields, unneeded fields intersect with src
|
||||
f("unroll (x)", "*", "f2,x", "*", "f2,x")
|
||||
f("unroll if (a:b) (x)", "*", "f2,x", "*", "f2,x")
|
||||
f("unroll if (f2:b) (x)", "*", "f2,x", "*", "f2,x")
|
||||
f("unroll (x)", "*", "f2,x", "*", "f2")
|
||||
f("unroll if (a:b) (x)", "*", "f2,x", "*", "f2")
|
||||
f("unroll if (f2:b) (x)", "*", "f2,x", "*", "")
|
||||
|
||||
// needed fields do not intersect with src
|
||||
f("unroll (x)", "f1,f2", "", "f1,f2", "")
|
||||
f("unroll if (a:b) (x)", "f1,f2", "", "f1,f2", "")
|
||||
f("unroll (x)", "f1,f2", "", "f1,f2,x", "")
|
||||
f("unroll if (a:b) (x)", "f1,f2", "", "a,f1,f2,x", "")
|
||||
|
||||
// needed fields intersect with src
|
||||
f("unroll (x)", "f2,x", "", "f2,x", "")
|
||||
|
|
|
|||
|
|
@ -5,6 +5,13 @@ import (
|
|||
)
|
||||
|
||||
func updateNeededFieldsForUpdatePipe(neededFields, unneededFields fieldsSet, field string, iff *ifFilter) {
|
||||
if neededFields.isEmpty() {
|
||||
if iff != nil {
|
||||
neededFields.addFields(iff.neededFields)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if neededFields.contains("*") {
|
||||
if !unneededFields.contains(field) && iff != nil {
|
||||
unneededFields.removeFields(iff.neededFields)
|
||||
|
|
|
|||
127
lib/logstorage/stats_row_any.go
Normal file
127
lib/logstorage/stats_row_any.go
Normal file
|
|
@ -0,0 +1,127 @@
|
|||
package logstorage
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"slices"
|
||||
"strings"
|
||||
"unsafe"
|
||||
)
|
||||
|
||||
type statsRowAny struct {
|
||||
fields []string
|
||||
}
|
||||
|
||||
func (sa *statsRowAny) String() string {
|
||||
return "row_any(" + statsFuncFieldsToString(sa.fields) + ")"
|
||||
}
|
||||
|
||||
func (sa *statsRowAny) updateNeededFields(neededFields fieldsSet) {
|
||||
if len(sa.fields) == 0 {
|
||||
neededFields.add("*")
|
||||
} else {
|
||||
neededFields.addFields(sa.fields)
|
||||
}
|
||||
}
|
||||
|
||||
func (sa *statsRowAny) newStatsProcessor() (statsProcessor, int) {
|
||||
sap := &statsRowAnyProcessor{
|
||||
sa: sa,
|
||||
}
|
||||
return sap, int(unsafe.Sizeof(*sap))
|
||||
}
|
||||
|
||||
type statsRowAnyProcessor struct {
|
||||
sa *statsRowAny
|
||||
|
||||
captured bool
|
||||
|
||||
fields []Field
|
||||
}
|
||||
|
||||
func (sap *statsRowAnyProcessor) updateStatsForAllRows(br *blockResult) int {
|
||||
if len(br.timestamps) == 0 {
|
||||
return 0
|
||||
}
|
||||
if sap.captured {
|
||||
return 0
|
||||
}
|
||||
sap.captured = true
|
||||
|
||||
return sap.updateState(br, 0)
|
||||
}
|
||||
|
||||
func (sap *statsRowAnyProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
|
||||
if sap.captured {
|
||||
return 0
|
||||
}
|
||||
sap.captured = true
|
||||
|
||||
return sap.updateState(br, rowIdx)
|
||||
}
|
||||
|
||||
func (sap *statsRowAnyProcessor) mergeState(sfp statsProcessor) {
|
||||
src := sfp.(*statsRowAnyProcessor)
|
||||
if !sap.captured {
|
||||
sap.captured = src.captured
|
||||
sap.fields = src.fields
|
||||
}
|
||||
}
|
||||
|
||||
func (sap *statsRowAnyProcessor) updateState(br *blockResult, rowIdx int) int {
|
||||
stateSizeIncrease := 0
|
||||
fields := sap.fields
|
||||
fetchFields := sap.sa.fields
|
||||
if len(fetchFields) == 0 {
|
||||
cs := br.getColumns()
|
||||
for _, c := range cs {
|
||||
v := c.getValueAtRow(br, rowIdx)
|
||||
fields = append(fields, Field{
|
||||
Name: strings.Clone(c.name),
|
||||
Value: strings.Clone(v),
|
||||
})
|
||||
stateSizeIncrease += len(c.name) + len(v)
|
||||
}
|
||||
} else {
|
||||
for _, field := range fetchFields {
|
||||
c := br.getColumnByName(field)
|
||||
v := c.getValueAtRow(br, rowIdx)
|
||||
fields = append(fields, Field{
|
||||
Name: strings.Clone(c.name),
|
||||
Value: strings.Clone(v),
|
||||
})
|
||||
stateSizeIncrease += len(c.name) + len(v)
|
||||
}
|
||||
}
|
||||
sap.fields = fields
|
||||
|
||||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (sap *statsRowAnyProcessor) finalizeStats() string {
|
||||
bb := bbPool.Get()
|
||||
bb.B = marshalFieldsToJSON(bb.B, sap.fields)
|
||||
result := string(bb.B)
|
||||
bbPool.Put(bb)
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
func parseStatsRowAny(lex *lexer) (*statsRowAny, error) {
|
||||
if !lex.isKeyword("row_any") {
|
||||
return nil, fmt.Errorf("unexpected func; got %q; want 'row_any'", lex.token)
|
||||
}
|
||||
lex.nextToken()
|
||||
fields, err := parseFieldNamesInParens(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'row_any' args: %w", err)
|
||||
}
|
||||
|
||||
if slices.Contains(fields, "*") {
|
||||
fields = nil
|
||||
}
|
||||
|
||||
sa := &statsRowAny{
|
||||
fields: fields,
|
||||
}
|
||||
return sa, nil
|
||||
}
|
||||
182
lib/logstorage/stats_row_any_test.go
Normal file
182
lib/logstorage/stats_row_any_test.go
Normal file
|
|
@ -0,0 +1,182 @@
|
|||
package logstorage
|
||||
|
||||
import (
|
||||
"testing"
|
||||
)
|
||||
|
||||
func TestParseStatsRowAnySuccess(t *testing.T) {
|
||||
f := func(pipeStr string) {
|
||||
t.Helper()
|
||||
expectParseStatsFuncSuccess(t, pipeStr)
|
||||
}
|
||||
|
||||
f(`row_any(*)`)
|
||||
f(`row_any(foo)`)
|
||||
f(`row_any(foo, bar)`)
|
||||
}
|
||||
|
||||
func TestParseStatsRowAnyFailure(t *testing.T) {
|
||||
f := func(pipeStr string) {
|
||||
t.Helper()
|
||||
expectParseStatsFuncFailure(t, pipeStr)
|
||||
}
|
||||
|
||||
f(`row_any`)
|
||||
f(`row_any(x) bar`)
|
||||
}
|
||||
|
||||
func TestStatsRowAny(t *testing.T) {
|
||||
f := func(pipeStr string, rows, rowsExpected [][]Field) {
|
||||
t.Helper()
|
||||
expectPipeResults(t, pipeStr, rows, rowsExpected)
|
||||
}
|
||||
|
||||
f("row_any()", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
{"b", `3`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"row_any(*)", `{"_msg":"abc","a":"2","b":"3"}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats row_any(a) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
{"b", `3`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"x", `{"a":"2"}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats row_any(a, x, b) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
{"b", `3`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"x", `{"a":"2","x":"","b":"3"}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats row_any(a) if (b:'') as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
{"b", `3`},
|
||||
},
|
||||
{
|
||||
{"_msg", `def`},
|
||||
{"a", `1`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"x", `{"a":"1"}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats by (b) row_any(a) if (b:*) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
{"b", `3`},
|
||||
},
|
||||
{
|
||||
{"a", `3`},
|
||||
{"c", `54`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"b", "3"},
|
||||
{"x", `{"a":"2"}`},
|
||||
},
|
||||
{
|
||||
{"b", ""},
|
||||
{"x", `{}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats by (a) row_any(b) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
{"b", `3`},
|
||||
},
|
||||
{
|
||||
{"a", `3`},
|
||||
{"b", `5`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"a", "1"},
|
||||
{"x", `{"b":"3"}`},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"x", `{"b":"5"}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats by (a) row_any(c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
{"b", `3`},
|
||||
},
|
||||
{
|
||||
{"a", `3`},
|
||||
{"c", `foo`},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"a", "1"},
|
||||
{"x", `{"c":""}`},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"x", `{"c":"foo"}`},
|
||||
},
|
||||
})
|
||||
|
||||
f("stats by (a, b) row_any(c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
{"b", `3`},
|
||||
},
|
||||
{
|
||||
{"_msg", `def`},
|
||||
{"a", `1`},
|
||||
{"c", "foo"},
|
||||
},
|
||||
{
|
||||
{"a", `3`},
|
||||
{"b", `5`},
|
||||
{"c", "4"},
|
||||
},
|
||||
}, [][]Field{
|
||||
{
|
||||
{"a", "1"},
|
||||
{"b", "3"},
|
||||
{"x", `{"c":""}`},
|
||||
},
|
||||
{
|
||||
{"a", "1"},
|
||||
{"b", ""},
|
||||
{"x", `{"c":"foo"}`},
|
||||
},
|
||||
{
|
||||
{"a", "3"},
|
||||
{"b", "5"},
|
||||
{"x", `{"c":"4"}`},
|
||||
},
|
||||
})
|
||||
}
|
||||
|
|
@ -11,14 +11,14 @@ import (
|
|||
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
|
||||
)
|
||||
|
||||
type statsFieldsMax struct {
|
||||
type statsRowMax struct {
|
||||
srcField string
|
||||
|
||||
fetchFields []string
|
||||
}
|
||||
|
||||
func (sm *statsFieldsMax) String() string {
|
||||
s := "fields_max(" + quoteTokenIfNeeded(sm.srcField)
|
||||
func (sm *statsRowMax) String() string {
|
||||
s := "row_max(" + quoteTokenIfNeeded(sm.srcField)
|
||||
if len(sm.fetchFields) > 0 {
|
||||
s += ", " + fieldNamesString(sm.fetchFields)
|
||||
}
|
||||
|
|
@ -26,7 +26,7 @@ func (sm *statsFieldsMax) String() string {
|
|||
return s
|
||||
}
|
||||
|
||||
func (sm *statsFieldsMax) updateNeededFields(neededFields fieldsSet) {
|
||||
func (sm *statsRowMax) updateNeededFields(neededFields fieldsSet) {
|
||||
if len(sm.fetchFields) == 0 {
|
||||
neededFields.add("*")
|
||||
} else {
|
||||
|
|
@ -35,22 +35,22 @@ func (sm *statsFieldsMax) updateNeededFields(neededFields fieldsSet) {
|
|||
neededFields.add(sm.srcField)
|
||||
}
|
||||
|
||||
func (sm *statsFieldsMax) newStatsProcessor() (statsProcessor, int) {
|
||||
smp := &statsFieldsMaxProcessor{
|
||||
func (sm *statsRowMax) newStatsProcessor() (statsProcessor, int) {
|
||||
smp := &statsRowMaxProcessor{
|
||||
sm: sm,
|
||||
}
|
||||
return smp, int(unsafe.Sizeof(*smp))
|
||||
}
|
||||
|
||||
type statsFieldsMaxProcessor struct {
|
||||
sm *statsFieldsMax
|
||||
type statsRowMaxProcessor struct {
|
||||
sm *statsRowMax
|
||||
|
||||
max string
|
||||
|
||||
fields []Field
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) updateStatsForAllRows(br *blockResult) int {
|
||||
func (smp *statsRowMaxProcessor) updateStatsForAllRows(br *blockResult) int {
|
||||
stateSizeIncrease := 0
|
||||
|
||||
c := br.getColumnByName(smp.sm.srcField)
|
||||
|
|
@ -114,7 +114,7 @@ func (smp *statsFieldsMaxProcessor) updateStatsForAllRows(br *blockResult) int {
|
|||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
|
||||
func (smp *statsRowMaxProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
|
||||
stateSizeIncrease := 0
|
||||
|
||||
c := br.getColumnByName(smp.sm.srcField)
|
||||
|
|
@ -138,27 +138,27 @@ func (smp *statsFieldsMaxProcessor) updateStatsForRow(br *blockResult, rowIdx in
|
|||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) mergeState(sfp statsProcessor) {
|
||||
src := sfp.(*statsFieldsMaxProcessor)
|
||||
func (smp *statsRowMaxProcessor) mergeState(sfp statsProcessor) {
|
||||
src := sfp.(*statsRowMaxProcessor)
|
||||
if smp.needUpdateStateString(src.max) {
|
||||
smp.max = src.max
|
||||
smp.fields = src.fields
|
||||
}
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) needUpdateStateBytes(b []byte) bool {
|
||||
func (smp *statsRowMaxProcessor) needUpdateStateBytes(b []byte) bool {
|
||||
v := bytesutil.ToUnsafeString(b)
|
||||
return smp.needUpdateStateString(v)
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) needUpdateStateString(v string) bool {
|
||||
func (smp *statsRowMaxProcessor) needUpdateStateString(v string) bool {
|
||||
if v == "" {
|
||||
return false
|
||||
}
|
||||
return smp.max == "" || lessString(smp.max, v)
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) updateState(v string, br *blockResult, rowIdx int) int {
|
||||
func (smp *statsRowMaxProcessor) updateState(v string, br *blockResult, rowIdx int) int {
|
||||
stateSizeIncrease := 0
|
||||
|
||||
if !smp.needUpdateStateString(v) {
|
||||
|
|
@ -204,7 +204,7 @@ func (smp *statsFieldsMaxProcessor) updateState(v string, br *blockResult, rowId
|
|||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMaxProcessor) finalizeStats() string {
|
||||
func (smp *statsRowMaxProcessor) finalizeStats() string {
|
||||
bb := bbPool.Get()
|
||||
bb.B = marshalFieldsToJSON(bb.B, smp.fields)
|
||||
result := string(bb.B)
|
||||
|
|
@ -213,18 +213,18 @@ func (smp *statsFieldsMaxProcessor) finalizeStats() string {
|
|||
return result
|
||||
}
|
||||
|
||||
func parseStatsFieldsMax(lex *lexer) (*statsFieldsMax, error) {
|
||||
if !lex.isKeyword("fields_max") {
|
||||
return nil, fmt.Errorf("unexpected func; got %q; want 'fields_max'", lex.token)
|
||||
func parseStatsRowMax(lex *lexer) (*statsRowMax, error) {
|
||||
if !lex.isKeyword("row_max") {
|
||||
return nil, fmt.Errorf("unexpected func; got %q; want 'row_max'", lex.token)
|
||||
}
|
||||
lex.nextToken()
|
||||
fields, err := parseFieldNamesInParens(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'fields_max' args: %w", err)
|
||||
return nil, fmt.Errorf("cannot parse 'row_max' args: %w", err)
|
||||
}
|
||||
|
||||
if len(fields) == 0 {
|
||||
return nil, fmt.Errorf("missing first arg for 'fields_max' func - source field")
|
||||
return nil, fmt.Errorf("missing first arg for 'row_max' func - source field")
|
||||
}
|
||||
|
||||
srcField := fields[0]
|
||||
|
|
@ -233,7 +233,7 @@ func parseStatsFieldsMax(lex *lexer) (*statsFieldsMax, error) {
|
|||
fetchFields = nil
|
||||
}
|
||||
|
||||
sm := &statsFieldsMax{
|
||||
sm := &statsRowMax{
|
||||
srcField: srcField,
|
||||
fetchFields: fetchFields,
|
||||
}
|
||||
|
|
@ -4,35 +4,35 @@ import (
|
|||
"testing"
|
||||
)
|
||||
|
||||
func TestParseStatsFieldsMaxSuccess(t *testing.T) {
|
||||
func TestParseStatsRowMaxSuccess(t *testing.T) {
|
||||
f := func(pipeStr string) {
|
||||
t.Helper()
|
||||
expectParseStatsFuncSuccess(t, pipeStr)
|
||||
}
|
||||
|
||||
f(`fields_max(foo)`)
|
||||
f(`fields_max(foo, bar)`)
|
||||
f(`fields_max(foo, bar, baz)`)
|
||||
f(`row_max(foo)`)
|
||||
f(`row_max(foo, bar)`)
|
||||
f(`row_max(foo, bar, baz)`)
|
||||
}
|
||||
|
||||
func TestParseStatsFieldsMaxFailure(t *testing.T) {
|
||||
func TestParseStatsRowMaxFailure(t *testing.T) {
|
||||
f := func(pipeStr string) {
|
||||
t.Helper()
|
||||
expectParseStatsFuncFailure(t, pipeStr)
|
||||
}
|
||||
|
||||
f(`fields_max`)
|
||||
f(`fields_max()`)
|
||||
f(`fields_max(x) bar`)
|
||||
f(`row_max`)
|
||||
f(`row_max()`)
|
||||
f(`row_max(x) bar`)
|
||||
}
|
||||
|
||||
func TestStatsFieldsMax(t *testing.T) {
|
||||
func TestStatsRowMax(t *testing.T) {
|
||||
f := func(pipeStr string, rows, rowsExpected [][]Field) {
|
||||
t.Helper()
|
||||
expectPipeResults(t, pipeStr, rows, rowsExpected)
|
||||
}
|
||||
|
||||
f("stats fields_max(a) as x", [][]Field{
|
||||
f("stats row_max(a) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -52,7 +52,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_max(foo) as x", [][]Field{
|
||||
f("stats row_max(foo) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -72,7 +72,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_max(b, a) as x", [][]Field{
|
||||
f("stats row_max(b, a) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -93,7 +93,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_max(b, a, x, b) as x", [][]Field{
|
||||
f("stats row_max(b, a, x, b) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -114,7 +114,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_max(a) if (b:*) as x", [][]Field{
|
||||
f("stats row_max(a) if (b:*) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -134,7 +134,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (b) fields_max(a) if (b:*) as x", [][]Field{
|
||||
f("stats by (b) row_max(a) if (b:*) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -160,7 +160,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a) fields_max(b) as x", [][]Field{
|
||||
f("stats by (a) row_max(b) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -189,7 +189,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a) fields_max(c) as x", [][]Field{
|
||||
f("stats by (a) row_max(c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -218,7 +218,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a) fields_max(b, c) as x", [][]Field{
|
||||
f("stats by (a) row_max(b, c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -250,7 +250,7 @@ func TestStatsFieldsMax(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a, b) fields_max(c) as x", [][]Field{
|
||||
f("stats by (a, b) row_max(c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -11,14 +11,14 @@ import (
|
|||
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
|
||||
)
|
||||
|
||||
type statsFieldsMin struct {
|
||||
type statsRowMin struct {
|
||||
srcField string
|
||||
|
||||
fetchFields []string
|
||||
}
|
||||
|
||||
func (sm *statsFieldsMin) String() string {
|
||||
s := "fields_min(" + quoteTokenIfNeeded(sm.srcField)
|
||||
func (sm *statsRowMin) String() string {
|
||||
s := "row_min(" + quoteTokenIfNeeded(sm.srcField)
|
||||
if len(sm.fetchFields) > 0 {
|
||||
s += ", " + fieldNamesString(sm.fetchFields)
|
||||
}
|
||||
|
|
@ -26,7 +26,7 @@ func (sm *statsFieldsMin) String() string {
|
|||
return s
|
||||
}
|
||||
|
||||
func (sm *statsFieldsMin) updateNeededFields(neededFields fieldsSet) {
|
||||
func (sm *statsRowMin) updateNeededFields(neededFields fieldsSet) {
|
||||
if len(sm.fetchFields) == 0 {
|
||||
neededFields.add("*")
|
||||
} else {
|
||||
|
|
@ -35,22 +35,22 @@ func (sm *statsFieldsMin) updateNeededFields(neededFields fieldsSet) {
|
|||
neededFields.add(sm.srcField)
|
||||
}
|
||||
|
||||
func (sm *statsFieldsMin) newStatsProcessor() (statsProcessor, int) {
|
||||
smp := &statsFieldsMinProcessor{
|
||||
func (sm *statsRowMin) newStatsProcessor() (statsProcessor, int) {
|
||||
smp := &statsRowMinProcessor{
|
||||
sm: sm,
|
||||
}
|
||||
return smp, int(unsafe.Sizeof(*smp))
|
||||
}
|
||||
|
||||
type statsFieldsMinProcessor struct {
|
||||
sm *statsFieldsMin
|
||||
type statsRowMinProcessor struct {
|
||||
sm *statsRowMin
|
||||
|
||||
min string
|
||||
|
||||
fields []Field
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) updateStatsForAllRows(br *blockResult) int {
|
||||
func (smp *statsRowMinProcessor) updateStatsForAllRows(br *blockResult) int {
|
||||
stateSizeIncrease := 0
|
||||
|
||||
c := br.getColumnByName(smp.sm.srcField)
|
||||
|
|
@ -114,7 +114,7 @@ func (smp *statsFieldsMinProcessor) updateStatsForAllRows(br *blockResult) int {
|
|||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
|
||||
func (smp *statsRowMinProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
|
||||
stateSizeIncrease := 0
|
||||
|
||||
c := br.getColumnByName(smp.sm.srcField)
|
||||
|
|
@ -138,27 +138,27 @@ func (smp *statsFieldsMinProcessor) updateStatsForRow(br *blockResult, rowIdx in
|
|||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) mergeState(sfp statsProcessor) {
|
||||
src := sfp.(*statsFieldsMinProcessor)
|
||||
func (smp *statsRowMinProcessor) mergeState(sfp statsProcessor) {
|
||||
src := sfp.(*statsRowMinProcessor)
|
||||
if smp.needUpdateStateString(src.min) {
|
||||
smp.min = src.min
|
||||
smp.fields = src.fields
|
||||
}
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) needUpdateStateBytes(b []byte) bool {
|
||||
func (smp *statsRowMinProcessor) needUpdateStateBytes(b []byte) bool {
|
||||
v := bytesutil.ToUnsafeString(b)
|
||||
return smp.needUpdateStateString(v)
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) needUpdateStateString(v string) bool {
|
||||
func (smp *statsRowMinProcessor) needUpdateStateString(v string) bool {
|
||||
if v == "" {
|
||||
return false
|
||||
}
|
||||
return smp.min == "" || lessString(v, smp.min)
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) updateState(v string, br *blockResult, rowIdx int) int {
|
||||
func (smp *statsRowMinProcessor) updateState(v string, br *blockResult, rowIdx int) int {
|
||||
stateSizeIncrease := 0
|
||||
|
||||
if !smp.needUpdateStateString(v) {
|
||||
|
|
@ -204,7 +204,7 @@ func (smp *statsFieldsMinProcessor) updateState(v string, br *blockResult, rowId
|
|||
return stateSizeIncrease
|
||||
}
|
||||
|
||||
func (smp *statsFieldsMinProcessor) finalizeStats() string {
|
||||
func (smp *statsRowMinProcessor) finalizeStats() string {
|
||||
bb := bbPool.Get()
|
||||
bb.B = marshalFieldsToJSON(bb.B, smp.fields)
|
||||
result := string(bb.B)
|
||||
|
|
@ -213,18 +213,18 @@ func (smp *statsFieldsMinProcessor) finalizeStats() string {
|
|||
return result
|
||||
}
|
||||
|
||||
func parseStatsFieldsMin(lex *lexer) (*statsFieldsMin, error) {
|
||||
if !lex.isKeyword("fields_min") {
|
||||
return nil, fmt.Errorf("unexpected func; got %q; want 'fields_min'", lex.token)
|
||||
func parseStatsRowMin(lex *lexer) (*statsRowMin, error) {
|
||||
if !lex.isKeyword("row_min") {
|
||||
return nil, fmt.Errorf("unexpected func; got %q; want 'row_min'", lex.token)
|
||||
}
|
||||
lex.nextToken()
|
||||
fields, err := parseFieldNamesInParens(lex)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("cannot parse 'fields_min' args: %w", err)
|
||||
return nil, fmt.Errorf("cannot parse 'row_min' args: %w", err)
|
||||
}
|
||||
|
||||
if len(fields) == 0 {
|
||||
return nil, fmt.Errorf("missing first arg for 'fields_min' func - source field")
|
||||
return nil, fmt.Errorf("missing first arg for 'row_min' func - source field")
|
||||
}
|
||||
|
||||
srcField := fields[0]
|
||||
|
|
@ -233,7 +233,7 @@ func parseStatsFieldsMin(lex *lexer) (*statsFieldsMin, error) {
|
|||
fetchFields = nil
|
||||
}
|
||||
|
||||
sm := &statsFieldsMin{
|
||||
sm := &statsRowMin{
|
||||
srcField: srcField,
|
||||
fetchFields: fetchFields,
|
||||
}
|
||||
|
|
@ -4,35 +4,35 @@ import (
|
|||
"testing"
|
||||
)
|
||||
|
||||
func TestParseStatsFieldsMinSuccess(t *testing.T) {
|
||||
func TestParseStatsRowMinSuccess(t *testing.T) {
|
||||
f := func(pipeStr string) {
|
||||
t.Helper()
|
||||
expectParseStatsFuncSuccess(t, pipeStr)
|
||||
}
|
||||
|
||||
f(`fields_min(foo)`)
|
||||
f(`fields_min(foo, bar)`)
|
||||
f(`fields_min(foo, bar, baz)`)
|
||||
f(`row_min(foo)`)
|
||||
f(`row_min(foo, bar)`)
|
||||
f(`row_min(foo, bar, baz)`)
|
||||
}
|
||||
|
||||
func TestParseStatsFieldsMinFailure(t *testing.T) {
|
||||
func TestParseStatsRowMinFailure(t *testing.T) {
|
||||
f := func(pipeStr string) {
|
||||
t.Helper()
|
||||
expectParseStatsFuncFailure(t, pipeStr)
|
||||
}
|
||||
|
||||
f(`fields_min`)
|
||||
f(`fields_min()`)
|
||||
f(`fields_min(x) bar`)
|
||||
f(`row_min`)
|
||||
f(`row_min()`)
|
||||
f(`row_min(x) bar`)
|
||||
}
|
||||
|
||||
func TestStatsFieldsMin(t *testing.T) {
|
||||
func TestStatsRowMin(t *testing.T) {
|
||||
f := func(pipeStr string, rows, rowsExpected [][]Field) {
|
||||
t.Helper()
|
||||
expectPipeResults(t, pipeStr, rows, rowsExpected)
|
||||
}
|
||||
|
||||
f("stats fields_min(a) as x", [][]Field{
|
||||
f("stats row_min(a) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -52,7 +52,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_min(foo) as x", [][]Field{
|
||||
f("stats row_min(foo) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -72,7 +72,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_min(b, a) as x", [][]Field{
|
||||
f("stats row_min(b, a) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -93,7 +93,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_min(b, a, x, b) as x", [][]Field{
|
||||
f("stats row_min(b, a, x, b) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -114,7 +114,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats fields_min(a) if (b:*) as x", [][]Field{
|
||||
f("stats row_min(a) if (b:*) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -134,7 +134,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (b) fields_min(a) if (b:*) as x", [][]Field{
|
||||
f("stats by (b) row_min(a) if (b:*) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `2`},
|
||||
|
|
@ -160,7 +160,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a) fields_min(b) as x", [][]Field{
|
||||
f("stats by (a) row_min(b) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -189,7 +189,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a) fields_min(c) as x", [][]Field{
|
||||
f("stats by (a) row_min(c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -218,7 +218,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a) fields_min(b, c) as x", [][]Field{
|
||||
f("stats by (a) row_min(b, c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
|
|
@ -249,7 +249,7 @@ func TestStatsFieldsMin(t *testing.T) {
|
|||
},
|
||||
})
|
||||
|
||||
f("stats by (a, b) fields_min(c) as x", [][]Field{
|
||||
f("stats by (a, b) row_min(c) as x", [][]Field{
|
||||
{
|
||||
{"_msg", `abc`},
|
||||
{"a", `1`},
|
||||
Loading…
Reference in a new issue