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fix(dashboard): label colors included in explore url #16621
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Codecov Report
@@ Coverage Diff @@
## master #16621 +/- ##
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- Coverage 76.69% 76.69% -0.01%
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Files 1003 1003
Lines 53950 53961 +11
Branches 7324 7332 +8
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+ Hits 41379 41386 +7
- Misses 12332 12336 +4
Partials 239 239
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LGTM - I think we need to do some hacking on related logic to make sure native filters/filter sets don't cause similar blow-ups. So let's try to come up with good conventions for what goes in the URL, what doesn't and how to truncate stuff when it starts getting crowded.
The issue for "explore URL" is not really caused by #16444. This line
will generate a GET request when user click on it, but browser (and many companies using nginx) has limitation for length of GET request. In airbnb we had a lot of charts with very long parameters, these charts couldn't be open by GET request. #16444 added label colors into url makes things worse, but it is no the root cause. In airbnb user got an error "414 Request-URI Too Large". Note, originally, there was an onClick event handler for this Ideally we should avoid opening chart by GET request. |
SUMMARY
Due to changes from #16444, label_colors from dashboard were being included in chart's URL when user visited explore from dashboard. This PR partially reverts the changes from #16444, while still preserving the perf improvement introduced in that PR
BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF
Before - example link of Proportion of Monthly Revenue by Product Line chart from Sales Dashboard (2142 characters):
http://localhost:9000/superset/explore/?form_data=%7B%22viz_type%22%3A%22area%22%2C%22datasource%22%3A%2220__table%22%2C%22slice_id%22%3A96%2C%22url_params%22%3A%7B%7D%2C%22time_range_endpoints%22%3A%5B%22inclusive%22%2C%22exclusive%22%5D%2C%22granularity_sqla%22%3A%22order_date%22%2C%22time_grain_sqla%22%3A%22P1M%22%2C%22time_range%22%3A%22No+filter%22%2C%22metrics%22%3A%5B%7B%22aggregate%22%3A%22SUM%22%2C%22column%22%3A%7B%22column_name%22%3A%22sales%22%2C%22description%22%3Anull%2C%22expression%22%3Anull%2C%22filterable%22%3Atrue%2C%22groupby%22%3Atrue%2C%22id%22%3A917%2C%22is_dttm%22%3Afalse%2C%22optionName%22%3A%22_col_Sales%22%2C%22python_date_format%22%3Anull%2C%22type%22%3A%22DOUBLE+PRECISION%22%2C%22verbose_name%22%3Anull%7D%2C%22expressionType%22%3A%22SIMPLE%22%2C%22hasCustomLabel%22%3Afalse%2C%22isNew%22%3Afalse%2C%22label%22%3A%22%28Sales%29%22%2C%22optionName%22%3A%22metric_3is69ofceho_6d0ezok7ry6%22%2C%22sqlExpression%22%3Anull%7D%5D%2C%22adhoc_filters%22%3A%5B%5D%2C%22groupby%22%3A%5B%22product_line%22%5D%2C%22limit%22%3A100%2C%22order_desc%22%3Atrue%2C%22contribution%22%3Atrue%2C%22row_limit%22%3Anull%2C%22show_brush%22%3A%22auto%22%2C%22show_legend%22%3Atrue%2C%22line_interpolation%22%3A%22linear%22%2C%22stacked_style%22%3A%22stack%22%2C%22color_scheme%22%3A%22bnbColors%22%2C%22label_colors%22%3A%7B%22SUM%28Sales%29%22%3A%22%23ff5a5f%22%2C%22Medium%22%3A%22%237b0051%22%2C%22Small%22%3A%22%23007A87%22%2C%22Large%22%3A%22%2300d1c1%22%2C%22SUM%28SALES%29%22%3A%22%238ce071%22%2C%22Classic+Cars%22%3A%22%23ffb400%22%2C%22Vintage+Cars%22%3A%22%23b4a76c%22%2C%22Motorcycles%22%3A%22%23ff8083%22%2C%22Trucks+and+Buses%22%3A%22%23cc0086%22%2C%22Planes%22%3A%22%2300a1b3%22%2C%22Ships%22%3A%22%2300ffeb%22%2C%22Trains%22%3A%22%23bbedab%22%7D%2C%22rich_tooltip%22%3Atrue%2C%22bottom_margin%22%3A%22auto%22%2C%22x_ticks_layout%22%3A%22auto%22%2C%22x_axis_format%22%3A%22smart_date%22%2C%22y_axis_format%22%3A%22SMART_NUMBER%22%2C%22y_axis_bounds%22%3A%5Bnull%2Cnull%5D%2C%22rolling_type%22%3A%22None%22%2C%22comparison_type%22%3A%22values%22%2C%22annotation_layers%22%3A%5B%5D%2C%22extra_form_data%22%3A%7B%7D%7D
After (1709 characters):
http://localhost:9000/superset/explore/?form_data=%7B%22viz_type%22%3A%22area%22%2C%22datasource%22%3A%2220__table%22%2C%22slice_id%22%3A96%2C%22url_params%22%3A%7B%7D%2C%22time_range_endpoints%22%3A%5B%22inclusive%22%2C%22exclusive%22%5D%2C%22granularity_sqla%22%3A%22order_date%22%2C%22time_grain_sqla%22%3A%22P1M%22%2C%22time_range%22%3A%22No+filter%22%2C%22metrics%22%3A%5B%7B%22aggregate%22%3A%22SUM%22%2C%22column%22%3A%7B%22column_name%22%3A%22sales%22%2C%22description%22%3Anull%2C%22expression%22%3Anull%2C%22filterable%22%3Atrue%2C%22groupby%22%3Atrue%2C%22id%22%3A917%2C%22is_dttm%22%3Afalse%2C%22optionName%22%3A%22_col_Sales%22%2C%22python_date_format%22%3Anull%2C%22type%22%3A%22DOUBLE+PRECISION%22%2C%22verbose_name%22%3Anull%7D%2C%22expressionType%22%3A%22SIMPLE%22%2C%22hasCustomLabel%22%3Afalse%2C%22isNew%22%3Afalse%2C%22label%22%3A%22%28Sales%29%22%2C%22optionName%22%3A%22metric_3is69ofceho_6d0ezok7ry6%22%2C%22sqlExpression%22%3Anull%7D%5D%2C%22adhoc_filters%22%3A%5B%5D%2C%22groupby%22%3A%5B%22product_line%22%5D%2C%22limit%22%3A100%2C%22order_desc%22%3Atrue%2C%22contribution%22%3Atrue%2C%22row_limit%22%3Anull%2C%22show_brush%22%3A%22auto%22%2C%22show_legend%22%3Atrue%2C%22line_interpolation%22%3A%22linear%22%2C%22stacked_style%22%3A%22stack%22%2C%22color_scheme%22%3A%22bnbColors%22%2C%22label_colors%22%3A%7B%7D%2C%22rich_tooltip%22%3Atrue%2C%22bottom_margin%22%3A%22auto%22%2C%22x_ticks_layout%22%3A%22auto%22%2C%22x_axis_format%22%3A%22smart_date%22%2C%22y_axis_format%22%3A%22SMART_NUMBER%22%2C%22y_axis_bounds%22%3A%5Bnull%2Cnull%5D%2C%22rolling_type%22%3A%22None%22%2C%22comparison_type%22%3A%22values%22%2C%22annotation_layers%22%3A%5B%5D%2C%22extra_form_data%22%3A%7B%7D%7D
TESTING INSTRUCTIONS
ADDITIONAL INFORMATION
CC @junlincc @serenajiang