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Experimental support for arrow
result format
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github.com/ydb-platform/ydb-go-sdk/v3/queryincompatible changesClient.QueryArrow: added compatible changesArrowResult: added summaryBase version: v3.115.7 (master) |
…paces setup (#1812) Signed-off-by: Vladislav Polyakov <[email protected]>
#1818) * added helper for clear stacktrace errors * moved PrintErrorWithoutStack from root to sugar * sugar.UnwrapError * Update sugar/errors.go * Update sugar/errors.go * fix linter issue * fix * fix * added at keyword * Update sugar/errors_test.go * Apply suggestions from code review Co-authored-by: Copilot <[email protected]> --------- Co-authored-by: Konstantin Prokopenko <[email protected]> Co-authored-by: Copilot <[email protected]>
* migrate golangci lint to v2 * codereview fixes * codereview fixes * Changelog updated * fix linter issues in SLO tests and examples * fix linter issues in SLO tests and examples --------- Co-authored-by: Konstantin Prokopenko <[email protected]>
Co-authored-by: Aleksey Myasnikov <[email protected]> --------- Co-authored-by: Aleksey Myasnikov <[email protected]>
Co-authored-by: Aleksey Myasnikov <[email protected]>
* added json unmarshaler for castTo * added json unmarshaler for castTo tests * json unmarshaler castTo CHANGELOG.md description --------- Co-authored-by: Aleksey Myasnikov <[email protected]>
* Execute queries without explicit session creation --------- Co-authored-by: Aleksey Myasnikov <[email protected]>
…artOffset for commit messages
Co-authored-by: robot <robot@umbrella>
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #1860 +/- ##
==========================================
- Coverage 71.15% 69.30% -1.85%
==========================================
Files 387 388 +1
Lines 40509 40596 +87
==========================================
- Hits 28823 28136 -687
- Misses 10520 11279 +759
- Partials 1166 1181 +15
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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🌋 Here are results of SLO test for xorm-table: Operation Success Rate---
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---
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title "operation_type=read"
x-axis "Time, m" 0 --> 10
y-axis "Success Rate, %" 5 --> 11
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Operations Per Second---
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95th Percentile Latency---
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|
🌋 Here are results of SLO test for gorm-table: Operation Success Rate---
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---
xychart-beta
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---
xychart-beta
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---
xychart-beta
title "operation_type=write"
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y-axis "Operations" 81 --> 111
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95th Percentile Latency---
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---
xychart-beta
title "operation_type=read"
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|
🌋 Here are results of SLO test for native-query: Operation Success Rate---
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Operations Per Second---
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xychart-beta
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---
xychart-beta
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95th Percentile Latency---
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---
xychart-beta
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---
xychart-beta
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|
🌋 Here are results of SLO test for database-sql-query: Operation Success Rate---
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---
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Operations Per Second---
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---
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---
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title "operation_type=write"
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95th Percentile Latency---
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|
🌋 Here are results of SLO test for native-table: Operation Success Rate---
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Operations Per Second---
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xychart-beta
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xychart-beta
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|
🌋 Here are results of SLO test for database-sql-table: Operation Success Rate---
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---
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Operations Per Second---
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---
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95th Percentile Latency---
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|
🌋 Here are results of SLO test for xorm-query: Operation Success Rate---
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---
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95th Percentile Latency---
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---
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xychart-beta
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|
🌋 Here are results of SLO test for native-table: Operation Success Rate---
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xychart-beta
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---
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---
xychart-beta
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Operations Per Second---
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---
xychart-beta
title "operation_type=read"
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95th Percentile Latency---
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|
🌋 Here are results of SLO test for gorm-query: Operation Success Rate---
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---
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Operations Per Second---
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---
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title "operation_type=write"
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95th Percentile Latency---
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---
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|
examples/apache_arrow/main.go
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) | ||
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||
func main() { | ||
ctx := context.TODO() |
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todo -> background
internal/query/arrow.go
Outdated
return r, nil | ||
} | ||
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||
func (s *Session) executeArrow( |
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Этот метод лучше унести в session.go
} | ||
) | ||
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||
func (c *Client) QueryArrow(ctx context.Context, q string, opts ...options.Execute) (r arrow.Result, err error) { |
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А есть методы на сессии и транзакции?
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Нет, и не требовалось
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Дальнейшая судьба Apache Arrow непонятна. По этой причине решили максимально просто реализовать - через отдельный метод в query.Client
. Если будет интерес, то скорей всего интегрируем в существующие методы Exec, транзакции и т.д.
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Мне кажется нужен ещё минимум 1 стримовый вариант. Если я хочу выгрузить много данных (для чего apache arrow как раз эффективен) - они вполне могут не помещаться в память чтобы их вычитать заранее.
Например если я хочу сдампить табличку в 100Гб
🌋 Here are results of SLO test for native-table-over-query-service: Operation Success Rate---
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---
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---
xychart-beta
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xychart-beta
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---
xychart-beta
title "operation_type=write"
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95th Percentile Latency---
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---
xychart-beta
title "operation_type=read"
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y-axis "Latency, ms" 1 --> 3
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---
config:
xyChart:
width: 1200
height: 400
themeVariables:
xyChart:
titleColor: "#222"
backgroundColor: "#fff"
xAxisLineColor: "#222"
yAxisLineColor: "#222"
plotColorPalette: "#FF7F0E,#1F77B4,#D62728,#2CA02C,#9467BD,#8C564B,#E377C2,#7F7F7F,#BCBD22,#17BECF"
---
xychart-beta
title "operation_type=write"
x-axis "Time, m" 0 --> 10
y-axis "Latency, ms" 2 --> 4
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|
Experimental support for Apache Arrow format.
Pull request type
Please check the type of change your PR introduces: