[Lens][Formatters] Always show missing values instead of nulls#233369
[Lens][Formatters] Always show missing values instead of nulls#233369markov00 merged 34 commits intoelastic:mainfrom
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Pinging @elastic/kibana-visualizations (Team:Visualizations) |
stratoula
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I played with it Marco, looks really nice and I cant see any regression tbh. Only one question about the esql response change from me. Other than that it looks great
src/platform/plugins/shared/data/common/search/expressions/esql.ts
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src/platform/plugins/shared/field_formats/common/constants/replacement_labels.ts
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src/platform/plugins/shared/field_formats/common/converters/string.ts
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src/platform/plugins/shared/field_formats/common/utils/as_pretty_string.ts
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| { | ||
| "type": "shared-common", | ||
| "id": "@kbn/field-formats-common", | ||
| "owner": "@elastic/kibana-visualizations", |
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Thanks for creating a new package!
| "owner": "@elastic/kibana-visualizations", | |
| "owner": [ | |
| "@elastic/kibana-visualizations", | |
| "@elastic/kibana-data-discovery" | |
| ], |
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Good, happy to share the ownership a1ae9aa
| description: 'Represents the label used to replace an empty string value in tables and charts', | ||
| }); | ||
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| export const NULL_LABEL = i18n.translate('fieldFormats.nullLabel', { |
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I think we also need to update .i18nrc.json now with the following:
"fieldFormats": [
"src/platform/plugins/shared/field_formats",
"src/platform/packages/shared/kbn-field-formats-common"
],
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done in a1ae9aa thank you , I didn't know about this. I hope it was automated
pheyos
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src/platform/test/tsconfig.json and x-pack/platform/test/tsconfig.json changes LGTM
| description: 'Represents the label used to replace an null value in tables and charts', | ||
| }); | ||
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| export const NAN_LABEL = 'NaN'; |
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The PR description says
for NaN numbers -> use the term N/A
just to clarify, it makes more sense like it's here in the code, is just the PR description outdated?
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PR description outdated, updated right now
| expect(layer.showAccessor?.(visDataWithNullValues.rows[0]['col-0-2'])).toEqual(true); | ||
| expect(layer.nodeLabel?.(visDataWithNullValues.rows[0]['col-0-2'])).toEqual('Null Airways'); | ||
| expect(layer.showAccessor?.(visDataWithNullValues.rows[0].category)).toEqual(true); | ||
| expect(layer.nodeLabel?.(visDataWithNullValues.rows[0].category)).toEqual(EMPTY_LABEL); |
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Nit: There's pros/cons about asserting against the defined const and not the raw string. toEqual(EMPTY_LABEL); is easier to maintain. but toEqual('(blank)') makes the expected outcome more obvious. if EMPTY_LABEL would ever change, the assertions need updating, but it would also make it more obvious in git diffs which updates are affected. using the raw string in the assertions also would protect against accidental changes/typos in the const.
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you are right, I can bring this back in a different PR
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| // const formatFactory = (mapping?: SerializedFieldFormat) => |
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do you want to keep this commented code around or is it good to remove it?
| static title = 'UpperCaseString'; | ||
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| htmlConvert = (value: string) => `<span>${value.toUpperCase()}</span>`; | ||
| // we need to catch possible null values and blocks them before running the transformation |
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Nit: Typo blocks -> block.
dej611
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Tested locally 👍
Left some minor comments, but it looks good overall.
| description: 'Represents the label used to replace an null value in tables and charts', | ||
| }); | ||
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| export const NAN_LABEL = 'NaN'; |
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Shouldn't this be i18n as well?
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No, I believe NaN is international at this point :D
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| ); | ||
| if (!isDataLayer(layer) && !isReferenceLayer(layer)) return false; | ||
| return layer.accessors.length > 0 && layer.table && layer.table.rows.length > 0; |
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nit:
| return layer.accessors.length > 0 && layer.table && layer.table.rows.length > 0; | |
| return layer.accessors.length > 0 && layer.table?.rows.length > 0; |
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…ic#233369) ## Summary Close https://github.com/elastic/kibana/issues/221155 This PR aligns the formatting for string and numbers when values are null or empty strings. There where many different places and different formatting logic for these situations, that changes depending on the consumer: many different labels where used in place of these 2 values, like `(missing value)`,`Missing`, ` - `, `-`. Same for the empty that sometime it was `(empty)` and other was just an empty string. There was also some different displaying logic in charts where the null values where removed from the chart (specially for ESQL). This PR aligns also the behavior across Discover and Lens when rendering table and across DSL and ESQL, by removing every possible custom behaviour of null/empty handling and moving the handling directly in the formatters. ## New labels replacements for null and empty string: The current alignments are: - for null/missing bucket/values -> use the label `(null)` - for empty string -> use the label `(blank)` - for NaN numbers -> use the term `NaN` As discussed with the various teams and PMs, we agreed on `(null)` and `(blank)` as stated above. These labels are shorter, understandable (null is aligned with the actual data status, blank instead refers to the absence of text, so an empty string). The use of the parenthesis is required to improve the readablinty of these values in charts to avoid confusion with other actual labels. ~~There can be alternatives, but needs to be evaluated with PMs and the Docs team:~~ ~~- `NULL` and `EMPTY` was suggested by the Docs team~~ ~~- `(Missing)` and `(Blank)` are personally suggested by the PR author~~ ~~The choice really depends on the type of user we are targeting, NULL/EMPTY is more database/SQL oriented where missing/blank is more business oriented. I also consider `blank` a better term then `empty` that could be interpteted as void/missing, where blank instead is related to a string/term rather then a bucket/number.~~ I also fixed the html conversions, used in tables, to correctly output the styled values. ## Changes screenshots **The below screenshot are outdated, you should consider that instead of `(missing value)` we are not showing `(null)` and instead of `(empty)` we are not showing `(blank)`. ### Lens Tables: categorical values Now DSL and ESQL tables reflects the same labels for null/empty. The DSL missing value now also uses a specific HTML style <details> <summary>Screenshots </summary> **BEFORE:** <img width="1015" height="242" alt="Screenshot 2025-09-01 at 10 48 10" src="https://github.com/user-attachments/assets/0646fad7-339f-4f52-8047-fc95aa874b30" /> **AFTER:** <img width="1015" height="249" alt="Screenshot 2025-09-01 at 10 44 25" src="https://github.com/user-attachments/assets/1b743861-f469-4b89-a0dd-1aee32bc77b2" /> </details> ### Lens Tables: numerical breakdown No major change for DSL charts (is not possible to show missing values when aggregating by terms for numerical values). ESQL table shows instead the null bucket and renders it with the appropiate label. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1174" height="240" alt="Screenshot 2025-09-01 at 10 48 13" src="https://github.com/user-attachments/assets/3d3ddb68-61c6-4085-aaee-478be6ff4ee0" /> **AFTER:** <img width="1176" height="245" alt="Screenshot 2025-09-01 at 10 44 29" src="https://github.com/user-attachments/assets/d0b6dbef-b492-4da3-9e67-19a9bf36c2a8" /> </details> ### XY charts: categorical breakdown Breaking down a chart, or using a categorical X axis now shows correctly both empty and null buckets in ESQL charts. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1008" height="295" alt="Screenshot 2025-09-01 at 10 48 17" src="https://github.com/user-attachments/assets/7c05519e-8c62-4fa6-92a4-f729cdfce705" /> **AFTER:** <img width="1007" height="316" alt="Screenshot 2025-09-01 at 10 44 33" src="https://github.com/user-attachments/assets/779a5fef-7cd9-4504-a493-b795167d632a" /> </details> ### XY charts: numerical breakdown Breaking down a chart or using a numerical X axis doesn't have any major change in both DSL/ESQL charts. DSL can't handle missing values, where ESQL does. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1173" height="290" alt="Screenshot 2025-09-01 at 10 48 25" src="https://github.com/user-attachments/assets/d3d413c6-fd70-4b72-a13d-7daa8480e2b3" /> **AFTER:** <img width="1174" height="289" alt="Screenshot 2025-09-01 at 10 44 39" src="https://github.com/user-attachments/assets/a3df5ae9-ec38-412d-96f0-b766a9aaccd8" /> </details> ### Visualize breakdowns This shows that legacy agg-based charts are rendering the two replacement labels correctly now. The tests also evaluate the custom label that can be configured in the Visualize UI and in the XY expressions to replace the current formatted replacement labels. <details> <summary>Screenshots </summary> **BEFORE:** <img width="372" height="445" alt="Screenshot 2025-09-01 at 10 48 21" src="https://github.com/user-attachments/assets/e33b539b-585b-4722-869d-d4fd7cd682a9" /> **AFTER:** <img width="379" height="437" alt="Screenshot 2025-09-01 at 10 44 43" src="https://github.com/user-attachments/assets/7db86c1b-6110-4012-bad0-19526102775d" /> </details> ### Histogram DSL charts No major changes here for DSL histograms as it was already showing missing and empty values on both X and Y axis. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1009" height="442" alt="Screenshot 2025-09-01 at 10 48 29" src="https://github.com/user-attachments/assets/52519a34-a76d-4a09-96db-a9acb53f117c" /> **AFTER:** <img width="1009" height="441" alt="Screenshot 2025-09-01 at 10 44 48" src="https://github.com/user-attachments/assets/45e53797-07d9-4a80-bed4-d58959286aa6" /> </details> ### Histogram ESQL charts The empty label is now visible on the ESQL charts, but I wasn't able to make the missing value appear here. With a follow up PR I will try to fix that too. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1183" height="442" alt="Screenshot 2025-09-01 at 10 48 32" src="https://github.com/user-attachments/assets/2839ff92-d9eb-4cd1-8326-603078da43d2" /> **AFTER:** <img width="1170" height="442" alt="Screenshot 2025-09-01 at 10 44 52" src="https://github.com/user-attachments/assets/8920a837-04fc-4f87-9725-50659e14ec50" /> </details> ### Partition charts: breakdown by categorical values ESQL charts are now aligned to the DSL ones, showing correctly both the empty and the missing buckets. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1228" height="325" alt="Screenshot 2025-09-01 at 10 48 36" src="https://github.com/user-attachments/assets/4016fb37-2ac9-42a2-b142-039e5c6b1f61" /> **AFTER:** <img width="1227" height="324" alt="Screenshot 2025-09-01 at 10 44 56" src="https://github.com/user-attachments/assets/1e6632de-9aae-44ea-828a-c0a3230cab94" /> </details> ### Partition charts: breakdown by numerical values Nothing has changed for DSL that doesn't show missing bucket by design. ESQL charts labels are now correctly aligned with the rest of the logics. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1148" height="327" alt="Screenshot 2025-09-01 at 10 48 40" src="https://github.com/user-attachments/assets/3864c255-eb81-4537-aa5b-dd85b316f924" /> **AFTER:** <img width="1122" height="317" alt="Screenshot 2025-09-01 at 10 45 05" src="https://github.com/user-attachments/assets/c893dba6-d9b6-41aa-bdb0-ec524babfd7e" /> </details> ### Discover sessions (and also other parts in Discover) Now also Discover is aligned with the same labeling as in the charts, applying also the right style to these labels. <details> <summary>Screenshots </summary> **BEFORE:** <img width="1227" height="353" alt="Screenshot 2025-09-01 at 10 48 48" src="https://github.com/user-attachments/assets/ad0e1099-bc8e-4f15-8e91-01aca32d7e09" /> **AFTER:** <img width="1220" height="353" alt="Screenshot 2025-09-01 at 10 45 10" src="https://github.com/user-attachments/assets/3791195d-6df7-42ae-9d94-0667299b937f" /> </details> ## For reviewers: The high number of deletions is due to the replacement of a full FieldFormatterFactory mock with a real FieldFormatter, causing a lot of snapshot tests to be updated with the removal of all the mocks calls. <details> <summary>The data used by the dashboard</summary> ``` POST _bulk { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T01:00:00.000Z", "group": "A", "value": 10 } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T02:00:00.000Z", "group": "B", "value": 20 } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T03:00:00.000Z", "group": "", "value": 30 } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T04:00:00.000Z", "group": null, "value": 5 } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T01:30:00.000Z", "group": "A", "value": null } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T02:30:00.000Z", "group": "B", "value": null } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T03:30:00.000Z", "group": "", "value": null } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T04:30:00.000Z", "group": null, "value": null } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T01:00:00.000Z", "group": "Y", "value": 0 } { "index": { "_index": "my_new_index" } } { "@timestamp": "2025-07-31T02:00:00.000Z", "group": "Y", "value": 0 } ``` </details> <details> <summary>The NDJSON for the dashboard</summary> ```JSON {"attributes":{"allowHidden":false,"fieldAttrs":"{}","fieldFormatMap":"{}","fields":"[]","name":"my_new_index","runtimeFieldMap":"{}","sourceFilters":"[]","timeFieldName":"@timestamp","title":"my_new_index"},"coreMigrationVersion":"8.8.0","created_at":"2025-09-01T08:40:04.627Z","created_by":"u_mGBROF_q5bmFCATbLXAcCwKa0k8JvONAwSruelyKA5E_0","id":"d1ed34be-3144-4f79-a436-a5ade93ae0b5","managed":false,"references":[],"type":"index-pattern","typeMigrationVersion":"8.0.0","updated_at":"2025-09-01T08:40:04.627Z","updated_by":"u_mGBROF_q5bmFCATbLXAcCwKa0k8JvONAwSruelyKA5E_0","version":"WzI0LDFd"} {"attributes":{"columns":["@timestamp","group.keyword","value"],"description":"","grid":{},"hideChart":false,"isTextBasedQuery":true,"kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"esql\":\"FROM my_new_index\"},\"index\":{\"id\":\"26fe469415a27271c042e99de033f116833127630c56b849a49b51d3a7728306\",\"title\":\"my_new_index\",\"timeFieldName\":\"@timestamp\",\"sourceFilters\":[],\"type\":\"esql\",\"fieldFormats\":{},\"runtimeFieldMap\":{},\"allowNoIndex\":false,\"name\":\"my_new_index\",\"allowHidden\":false},\"filter\":[]}"},"sort":[["@timestamp","desc"]],"tabs":[{"attributes":{"columns":["@timestamp","group.keyword","value"],"grid":{},"hideChart":false,"isTextBasedQuery":true,"kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"esql\":\"FROM my_new_index\"},\"index\":{\"id\":\"26fe469415a27271c042e99de033f116833127630c56b849a49b51d3a7728306\",\"title\":\"my_new_index\",\"timeFieldName\":\"@timestamp\",\"sourceFilters\":[],\"type\":\"esql\",\"fieldFormats\":{},\"runtimeFieldMap\":{},\"allowNoIndex\":false,\"name\":\"my_new_index\",\"allowHidden\":false},\"filter\":[]}"},"sort":[["@timestamp","desc"]],"timeRestore":false,"usesAdHocDataView":true},"id":"86df7dc2-3b45-4ce4-a655-8fe004fba2a2","label":"Untitled"}],"timeRestore":false,"title":"Discover Session","usesAdHocDataView":true},"coreMigrationVersion":"8.8.0","created_at":"2025-09-01T08:40:04.627Z","created_by":"u_mGBROF_q5bmFCATbLXAcCwKa0k8JvONAwSruelyKA5E_0","id":"a2574325-91ef-4b43-93dc-333d8e8acd35","managed":false,"references":[],"type":"search","typeMigrationVersion":"10.6.0","updated_at":"2025-09-01T08:40:04.627Z","updated_by":"u_mGBROF_q5bmFCATbLXAcCwKa0k8JvONAwSruelyKA5E_0","version":"WzI1LDFd"} {"attributes":{"controlGroupInput":{"chainingSystem":"HIERARCHICAL","controlStyle":"oneLine","ignoreParentSettingsJSON":"{\"ignoreFilters\":false,\"ignoreQuery\":false,\"ignoreTimerange\":false,\"ignoreValidations\":false}","panelsJSON":"{}","showApplySelections":false},"description":"","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"filter\":[],\"query\":{\"query\":\"\",\"language\":\"kuery\"}}"},"optionsJSON":"{\"useMargins\":true,\"syncColors\":false,\"syncCursor\":true,\"syncTooltips\":false,\"hidePanelTitles\":false}","panelsJSON":"[{\"type\":\"lens\",\"embeddableConfig\":{\"enhancements\":{\"dynamicActions\":{\"events\":[]}},\"title\":\"ES|QL\",\"syncColors\":false,\"syncCursor\":true,\"syncTooltips\":false,\"filters\":[],\"query\":{\"esql\":\"FROM my_new_index | STATS MAX(value) BY group.keyword | SORT group.keyword\"},\"attributes\":{\"title\":\"Bar vertical stacked\",\"references\":[],\"state\":{\"datasourceStates\":{\"textBased\":{\"layers\":{\"15061731-5d29-4a72-a567-511cacf8f8b0\":{\"index\":\"26fe469415a27271c042e99de033f116833127630c56b849a49b51d3a7728306\",\"query\":{\"esql\":\"FROM my_new_index | STATS MAX(value) BY group.keyword | SORT 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{"excludedObjects":[],"excludedObjectsCount":0,"exportedCount":3,"missingRefCount":0,"missingReferences":[]} ``` </details> ## Release note Null buckets and empty string values are now rendered in the UI as `(missing value)` and `(empty)` respectively. This is now aligned across charts and tables, including Discover and Lens charts. --------- Co-authored-by: Stratoula Kalafateli <efstratia.kalafateli@elastic.co> Co-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>
- Resolves #251846 ## Summary URL and Badge (for boolean type) field formatters had noticeable issues when field had no data. Some of the other formatters did not use the same style, so I updated it too. Also extended the tests. A regression after #233369 ### Checklist - [x] [Unit or functional tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html) were updated or added to match the most common scenarios - [x] [Flaky Test Runner](https://ci-stats.kibana.dev/trigger_flaky_test_runner/1) was used on any tests changed - [x] The PR description includes the appropriate Release Notes section, and the correct `release_note:*` label is applied per the [guidelines](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process) - [x] Review the [backport guidelines](https://docs.google.com/document/d/1VyN5k91e5OVumlc0Gb9RPa3h1ewuPE705nRtioPiTvY/edit?usp=sharing) and apply applicable `backport:*` labels.
…51892) - Resolves elastic#251846 ## Summary URL and Badge (for boolean type) field formatters had noticeable issues when field had no data. Some of the other formatters did not use the same style, so I updated it too. Also extended the tests. A regression after elastic#233369 ### Checklist - [x] [Unit or functional tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html) were updated or added to match the most common scenarios - [x] [Flaky Test Runner](https://ci-stats.kibana.dev/trigger_flaky_test_runner/1) was used on any tests changed - [x] The PR description includes the appropriate Release Notes section, and the correct `release_note:*` label is applied per the [guidelines](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process) - [x] Review the [backport guidelines](https://docs.google.com/document/d/1VyN5k91e5OVumlc0Gb9RPa3h1ewuPE705nRtioPiTvY/edit?usp=sharing) and apply applicable `backport:*` labels. (cherry picked from commit deec23d)
…51892) - Resolves elastic#251846 ## Summary URL and Badge (for boolean type) field formatters had noticeable issues when field had no data. Some of the other formatters did not use the same style, so I updated it too. Also extended the tests. A regression after elastic#233369 ### Checklist - [x] [Unit or functional tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html) were updated or added to match the most common scenarios - [x] [Flaky Test Runner](https://ci-stats.kibana.dev/trigger_flaky_test_runner/1) was used on any tests changed - [x] The PR description includes the appropriate Release Notes section, and the correct `release_note:*` label is applied per the [guidelines](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process) - [x] Review the [backport guidelines](https://docs.google.com/document/d/1VyN5k91e5OVumlc0Gb9RPa3h1ewuPE705nRtioPiTvY/edit?usp=sharing) and apply applicable `backport:*` labels. (cherry picked from commit deec23d)
Summary
Close #221155
This PR aligns the formatting for string and numbers when values are null or empty strings.
There where many different places and different formatting logic for these situations, that changes depending on the consumer: many different labels where used in place of these 2 values, like
(missing value),Missing,-,-. Same for the empty that sometime it was(empty)and other was just an empty string.There was also some different displaying logic in charts where the null values where removed from the chart (specially for ESQL).
This PR aligns also the behavior across Discover and Lens when rendering table and across DSL and ESQL, by removing every possible custom behaviour of null/empty handling and moving the handling directly in the formatters.
New labels replacements for null and empty string:
The current alignments are:
(null)(blank)NaNAs discussed with the various teams and PMs, we agreed on
(null)and(blank)as stated above.These labels are shorter, understandable (null is aligned with the actual data status, blank instead refers to the absence of text, so an empty string).
The use of the parenthesis is required to improve the readablinty of these values in charts to avoid confusion with other actual labels.
There can be alternatives, but needs to be evaluated with PMs and the Docs team:-NULLandEMPTYwas suggested by the Docs team-(Missing)and(Blank)are personally suggested by the PR authorThe choice really depends on the type of user we are targeting, NULL/EMPTY is more database/SQL oriented where missing/blank is more business oriented.I also consider
blanka better term thenemptythat could be interpteted as void/missing, where blank instead is related to a string/term rather then a bucket/number.I also fixed the html conversions, used in tables, to correctly output the styled values.
Changes screenshots
**The below screenshot are outdated, you should consider that instead of
(missing value)we are not showing(null)and instead of(empty)we are not showing(blank).Lens Tables: categorical values
Now DSL and ESQL tables reflects the same labels for null/empty.
The DSL missing value now also uses a specific HTML style
Screenshots
BEFORE:

AFTER:

Lens Tables: numerical breakdown
No major change for DSL charts (is not possible to show missing values when aggregating by terms for numerical values).
ESQL table shows instead the null bucket and renders it with the appropiate label.
Screenshots
BEFORE:

AFTER:

XY charts: categorical breakdown
Breaking down a chart, or using a categorical X axis now shows correctly both empty and null buckets in ESQL charts.
Screenshots
BEFORE:

AFTER:

XY charts: numerical breakdown
Breaking down a chart or using a numerical X axis doesn't have any major change in both DSL/ESQL charts.
DSL can't handle missing values, where ESQL does.
Screenshots
BEFORE:

AFTER:

Visualize breakdowns
This shows that legacy agg-based charts are rendering the two replacement labels correctly now.
The tests also evaluate the custom label that can be configured in the Visualize UI and in the XY expressions to replace the current formatted replacement labels.
Screenshots
BEFORE:

AFTER:

Histogram DSL charts
No major changes here for DSL histograms as it was already showing missing and empty values on both X and Y axis.
Screenshots
BEFORE:

AFTER:

Histogram ESQL charts
The empty label is now visible on the ESQL charts, but I wasn't able to make the missing value appear here.
With a follow up PR I will try to fix that too.
Screenshots
BEFORE:

AFTER:

Partition charts: breakdown by categorical values
ESQL charts are now aligned to the DSL ones, showing correctly both the empty and the missing buckets.
Screenshots
BEFORE:
AFTER:

Partition charts: breakdown by numerical values
Nothing has changed for DSL that doesn't show missing bucket by design. ESQL charts labels are now correctly aligned with the rest of the logics.
Screenshots
BEFORE:

AFTER:

Discover sessions (and also other parts in Discover)
Now also Discover is aligned with the same labeling as in the charts, applying also the right style to these labels.
Screenshots
BEFORE:
AFTER:

For reviewers:
The high number of deletions is due to the replacement of a full FieldFormatterFactory mock with a real FieldFormatter, causing a lot of snapshot tests to be updated with the removal of all the mocks calls.
The data used by the dashboard
The NDJSON for the dashboard
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{"excludedObjects":[],"excludedObjectsCount":0,"exportedCount":3,"missingRefCount":0,"missingReferences":[]}Release note
Null buckets and empty string values are now rendered in the UI as
(missing value)and(empty)respectively. This is now aligned across charts and tables, including Discover and Lens charts.