ESQL: Move a few more test out of IT_test_only (#108377)

This moves the "skip" logic from our IT_test_only suffix into a new
feature - this one is historical `esql.enrich_load`. This feature is not
supported by `CsvTests` but is supported across all tests.

x-pack/plugin/esql/qa/testFixtures/src/main/resources/blog-IT_tests_only.csv-spec → x-pack/plugin/esql/qa/testFixtures/src/main/resources/blog.csv-spec

@@ -1,4 +1,7 @@
+# Examples that were published in a blog post
+
 2023-08-08.full-blown-query
+required_feature: esql.enrich_load
 
   FROM employees
 | WHERE still_hired == true

x-pack/plugin/esql/qa/testFixtures/src/main/resources/enrich-IT_tests_only.csv-spec

@@ -1,350 +0,0 @@
-simple
-row language_code = "1"  
-| enrich languages_policy
-;
-
-language_code:keyword  | language_name:keyword 
-1                      | English 
-;
-
-
-enrichOn
-from employees  | sort emp_no | limit 1 | eval x = to_string(languages) | enrich languages_policy on x  | keep emp_no, language_name;
-
-emp_no:integer | language_name:keyword
-10001          | French
-;
-
-
-enrichOn2
-from employees | eval x = to_string(languages) | enrich languages_policy on x  | keep emp_no, language_name | sort emp_no | limit 1 ;
-
-emp_no:integer | language_name:keyword
-10001          | French
-;
-
-simpleSortLimit
-from employees  | eval x = to_string(languages) | enrich languages_policy on x  | keep emp_no, language_name | sort emp_no | limit 1;
-
-emp_no:integer | language_name:keyword
-10001          | French
-;
-
-
-with
-from employees | eval x = to_string(languages) | keep emp_no, x | sort emp_no | limit 1 
-| enrich languages_policy on x with language_name;
-
-emp_no:integer | x:keyword | language_name:keyword
-10001          | 2         | French
-;
-
-
-withAlias
-from employees  | sort emp_no | limit 3 | eval x = to_string(languages) | keep emp_no, x 
-| enrich languages_policy on x with lang = language_name;
-
-emp_no:integer | x:keyword | lang:keyword
-10001          | 2         | French
-10002          | 5         | null
-10003          | 4         | German
-;
-
-
-withAliasSort
-from employees | eval x = to_string(languages) | keep emp_no, x  | sort emp_no | limit 3 
-| enrich languages_policy on x with lang = language_name;
-
-emp_no:integer | x:keyword | lang:keyword
-10001          | 2         | French
-10002          | 5         | null
-10003          | 4         | German
-;
-
-
-withAliasOverwriteName#[skip:-8.13.0]
-from employees | sort emp_no
-| eval x = to_string(languages) | enrich languages_policy on x with emp_no = language_name
-| keep emp_no | limit 1
-;
-
-emp_no:keyword
-French
-;
-
-
-withAliasAndPlain
-from employees  | sort emp_no desc | limit 3 | eval x = to_string(languages) | keep emp_no, x 
-| enrich languages_policy on x with lang = language_name, language_name;
-
-emp_no:integer | x:keyword | lang:keyword | language_name:keyword
-10100          | 4         | German       | German
-10099          | 2         | French       | French
-10098          | 4         | German       | German
-;
-
-
-withTwoAliasesSameProp
-from employees  | sort emp_no | limit 1 | eval x = to_string(languages) | keep emp_no, x 
-| enrich languages_policy on x with lang = language_name, lang2 = language_name;
-
-emp_no:integer | x:keyword | lang:keyword | lang2:keyword
-10001          | 2         | French       | French
-;
-
-
-redundantWith
-from employees  | sort emp_no | limit 1 | eval x = to_string(languages) | keep emp_no, x 
-| enrich languages_policy on x with language_name, language_name;
-
-emp_no:integer | x:keyword | language_name:keyword 
-10001          | 2         | French
-;
-
-
-nullInput
-from employees  | where emp_no == 10017 | keep emp_no, gender
-| enrich languages_policy on gender with language_name, language_name;
-
-emp_no:integer | gender:keyword | language_name:keyword 
-10017          | null           | null
-;
-
- 
-constantNullInput
-from employees  | where emp_no == 10020 | eval x = to_string(languages) | keep emp_no, x 
-| enrich languages_policy on x with language_name, language_name;
-
-emp_no:integer | x:keyword | language_name:keyword 
-10020          | null      | null
-;
-
-
-multipleEnrich
-row a = "1", b = "2", c = "10"  
-| enrich languages_policy on a with a_lang = language_name  
-| enrich languages_policy on b with b_lang = language_name  
-| enrich languages_policy on c with c_lang = language_name;
-
-a:keyword | b:keyword | c:keyword | a_lang:keyword | b_lang:keyword | c_lang:keyword
-1         | 2         | 10        | English        | French         | null
-;
-
-
-enrichEval
-from employees | eval x = to_string(languages) 
-| enrich languages_policy on x with lang = language_name
-| eval language = concat(x, "-", lang)
-| keep emp_no, x, lang, language 
-| sort emp_no desc | limit 3;
-
-emp_no:integer | x:keyword | lang:keyword | language:keyword
-10100          | 4         | German       | 4-German
-10099          | 2         | French       | 2-French
-10098          | 4         | German       | 4-German
-;
-
-
-multivalue
-required_feature: esql.mv_sort
-row a = ["1", "2"] | enrich languages_policy on a with a_lang = language_name | eval a_lang = mv_sort(a_lang);  
-
-a:keyword   | a_lang:keyword
-["1", "2"]  | ["English", "French"] 
-;
-
-
-enrichCidr#[skip:-8.13.99, reason:enrich for cidr added in 8.14.0]
-FROM sample_data
-| ENRICH client_cidr_policy ON client_ip WITH env
-| EVAL max_env = MV_MAX(env), count_env = MV_COUNT(env)
-| KEEP client_ip, count_env, max_env
-| SORT client_ip
-;
-
-client_ip:ip | count_env:i | max_env:keyword
-172.21.0.5   | 1           | Development
-172.21.2.113 | 2           | QA
-172.21.2.162 | 2           | QA
-172.21.3.15  | 2           | Production
-172.21.3.15  | 2           | Production
-172.21.3.15  | 2           | Production
-172.21.3.15  | 2           | Production
-;
-
-
-enrichCidr2#[skip:-8.99.99, reason:ip_range support not added yet]
-FROM sample_data
-| ENRICH client_cidr_policy ON client_ip WITH env, client_cidr
-| KEEP client_ip, env, client_cidr
-| SORT client_ip
-;
-
-client_ip:ip | env:keyword               | client_cidr:ip_range
-172.21.3.15  | [Development, Production] | 172.21.3.0/24
-172.21.3.15  | [Development, Production] | 172.21.3.0/24
-172.21.3.15  | [Development, Production] | 172.21.3.0/24
-172.21.3.15  | [Development, Production] | 172.21.3.0/24
-172.21.0.5   | Development               | 172.21.0.0/16
-172.21.2.113 | [Development, QA]         | 172.21.2.0/24
-172.21.2.162 | [Development, QA]         | 172.21.2.0/24
-;
-
-
-enrichAgesStatsYear#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM employees
-| WHERE birth_date > "1960-01-01"
-| EVAL birth_year = DATE_EXTRACT("year", birth_date)
-| EVAL age = 2022 - birth_year
-| ENRICH ages_policy ON age WITH age_group = description
-| STATS count=count(age_group) BY age_group, birth_year
-| KEEP birth_year, age_group, count
-| SORT birth_year DESC
-;
-
-birth_year:long | age_group:keyword | count:long
-1965            | Middle-aged       | 1
-1964            | Middle-aged       | 4
-1963            | Middle-aged       | 7
-1962            | Senior            | 6
-1961            | Senior            | 8
-1960            | Senior            | 8
-;
-
-
-enrichAgesStatsAgeGroup#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM employees
-| WHERE birth_date IS NOT NULL
-| EVAL age = 2022 - DATE_EXTRACT("year", birth_date)
-| ENRICH ages_policy ON age WITH age_group = description
-| STATS count=count(age_group) BY age_group
-| SORT count DESC
-;
-
-count:long | age_group:keyword
-78         | Senior
-12         | Middle-aged
-;
-
-
-enrichHeightsStats#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM employees
-| ENRICH heights_policy ON height WITH height_group = description
-| STATS count=count(height_group), min=min(height), max=max(height) BY height_group
-| KEEP height_group, min, max, count
-| SORT min ASC
-;
-
-height_group:k | min:double | max:double | count:long
-Very Short     | 1.41       | 1.48       | 9
-Short          | 1.5        | 1.59       | 20
-Medium Height  | 1.61       | 1.79       | 26
-Tall           | 1.8        | 1.99       | 25
-Very Tall      | 2.0        | 2.1        | 20
-;
-
-
-enrichDecadesStats#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM employees
-| ENRICH decades_policy ON birth_date WITH birth_decade = decade, birth_description = description
-| ENRICH decades_policy ON hire_date WITH hire_decade = decade, hire_description = description
-| STATS count=count(*) BY birth_decade, hire_decade, birth_description, hire_description
-| KEEP birth_decade, hire_decade, birth_description, hire_description, count
-| SORT birth_decade DESC, hire_decade DESC
-;
-
-birth_decade:long | hire_decade:l | birth_description:k | hire_description:k | count:long
-null              | 1990          | null                | Nineties Nostalgia | 6
-null              | 1980          | null                | Radical Eighties   | 4
-1960              | 1990          | Swinging Sixties    | Nineties Nostalgia | 13
-1960              | 1980          | Swinging Sixties    | Radical Eighties   | 21
-1950              | 1990          | Nifty Fifties       | Nineties Nostalgia | 22
-1950              | 1980          | Nifty Fifties       | Radical Eighties   | 34
-;
-
-
-spatialEnrichmentKeywordMatch#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM airports
-| WHERE abbrev == "CPH"
-| ENRICH city_names ON city WITH airport, region, city_boundary
-| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
-| KEEP abbrev, city, city_location, country, location, name, airport, region, boundary_wkt_length
-;
-
-abbrev:keyword  |  city:keyword  |  city_location:geo_point |  country:keyword  |  location:geo_point                       |  name:text   |  airport:text  |  region:text         |  boundary_wkt_length:integer
-CPH             |  Copenhagen    |  POINT(12.5683 55.6761)  |  Denmark          |  POINT(12.6493508684508 55.6285017221528) |  Copenhagen  |  Copenhagen    |  Københavns Kommune  |  265
-;
-
-
-spatialEnrichmentGeoMatch#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM airports
-| WHERE abbrev == "CPH"
-| ENRICH city_boundaries ON city_location WITH airport, region, city_boundary
-| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
-| KEEP abbrev, city, city_location, country, location, name, airport, region, boundary_wkt_length
-;
-
-abbrev:keyword  |  city:keyword  |  city_location:geo_point |  country:keyword  |  location:geo_point                       |  name:text   |  airport:text  |  region:text         |  boundary_wkt_length:integer
-CPH             |  Copenhagen    |  POINT(12.5683 55.6761)  |  Denmark          |  POINT(12.6493508684508 55.6285017221528) |  Copenhagen  |  Copenhagen    |  Københavns Kommune  |  265
-;
-
-
-spatialEnrichmentGeoMatchStats#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-required_feature: esql.mv_warn
-
-FROM airports
-| ENRICH city_boundaries ON city_location WITH airport, region, city_boundary
-| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
-| STATS city_centroid = ST_CENTROID_AGG(city_location), count = COUNT(city_location), min_wkt = MIN(boundary_wkt_length), max_wkt = MAX(boundary_wkt_length)
-;
-warning:Line 3:30: evaluation of [LENGTH(TO_STRING(city_boundary))] failed, treating result as null. Only first 20 failures recorded.
-warning:Line 3:30: java.lang.IllegalArgumentException: single-value function encountered multi-value
-
-city_centroid:geo_point    |  count:long  |  min_wkt:integer  |  max_wkt:integer
-POINT(1.396561 24.127649)  |  872         |  88               |  1044
-;
-
-
-spatialEnrichmentKeywordMatchAndSpatialPredicate#[skip:-8.13.99, reason:st_intersects added in 8.14]
-FROM airports
-| ENRICH city_names ON city WITH airport, region, city_boundary
-| MV_EXPAND city_boundary
-| EVAL airport_in_city = ST_INTERSECTS(location, city_boundary)
-| STATS count=COUNT(*) BY airport_in_city
-| SORT count ASC
-;
-
-count:long  |  airport_in_city:boolean
-114         |  null
-396         |  true
-455         |  false
-;
-
-
-spatialEnrichmentKeywordMatchAndSpatialAggregation#[skip:-8.13.99, reason:st_intersects added in 8.14]
-FROM airports
-| ENRICH city_names ON city WITH airport, region, city_boundary
-| MV_EXPAND city_boundary
-| EVAL airport_in_city = ST_INTERSECTS(location, city_boundary)
-| STATS count=COUNT(*), centroid=ST_CENTROID_AGG(location) BY airport_in_city
-| SORT count ASC
-;
-
-count:long  |  centroid:geo_point            |  airport_in_city:boolean
-114         |  POINT (-24.750062 31.575549)  |  null
-396         |  POINT (-2.534797 20.667712)   |  true
-455         |  POINT (3.090752 27.676442)    |  false
-;
-
-
-spatialEnrichmentTextMatch#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
-FROM airports
-| WHERE abbrev == "IDR"
-| ENRICH city_airports ON name WITH city_name = city, region, city_boundary
-| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
-| KEEP abbrev, city_name, city_location, country, location, name, name, region, boundary_wkt_length
-;
-
-abbrev:k  |  city_name:k  |  city_location:geo_point |  country:k  |  location:geo_point                       |  name:text                    |  region:text  |  boundary_wkt_length:i
-IDR       |  Indore       |  POINT(75.8472 22.7167)  |  India      |  POINT(75.8092915005895 22.727749187571)  |  Devi Ahilyabai Holkar Int'l  |  Indore City  |  231
-;

x-pack/plugin/esql/qa/testFixtures/src/main/resources/enrich.csv-spec

@@ -1,10 +1,10 @@
-simple
+simpleNoLoad
 from employees | eval x = 1, y = to_string(languages) | enrich languages_policy on y | where x > 1 | keep emp_no, language_name | limit 1;
 
 emp_no:integer | language_name:keyword
 ;
 
-docsGettingStartedEnrich
+docsGettingStartedEnrichNoLoad
 // tag::gs-enrich[]
 FROM sample_data
 | KEEP @timestamp, client_ip, event_duration
@@ -30,3 +30,408 @@ FROM sample_data
 
 median_duration:double | env:keyword
 ;
+
+simple
+required_feature: esql.enrich_load
+
+row language_code = "1"  
+| enrich languages_policy
+;
+
+language_code:keyword  | language_name:keyword 
+1                      | English 
+;
+
+
+enrichOn
+required_feature: esql.enrich_load
+
+from employees  | sort emp_no | limit 1 | eval x = to_string(languages) | enrich languages_policy on x  | keep emp_no, language_name;
+
+emp_no:integer | language_name:keyword
+10001          | French
+;
+
+
+enrichOn2
+required_feature: esql.enrich_load
+
+from employees | eval x = to_string(languages) | enrich languages_policy on x  | keep emp_no, language_name | sort emp_no | limit 1 ;
+
+emp_no:integer | language_name:keyword
+10001          | French
+;
+
+
+simpleSortLimit
+required_feature: esql.enrich_load
+
+from employees  | eval x = to_string(languages) | enrich languages_policy on x  | keep emp_no, language_name | sort emp_no | limit 1;
+
+emp_no:integer | language_name:keyword
+10001          | French
+;
+
+with
+required_feature: esql.enrich_load
+
+from employees | eval x = to_string(languages) | keep emp_no, x | sort emp_no | limit 1 
+| enrich languages_policy on x with language_name;
+
+emp_no:integer | x:keyword | language_name:keyword
+10001          | 2         | French
+;
+
+
+withAlias
+required_feature: esql.enrich_load
+
+from employees  | sort emp_no | limit 3 | eval x = to_string(languages) | keep emp_no, x 
+| enrich languages_policy on x with lang = language_name;
+
+emp_no:integer | x:keyword | lang:keyword
+10001          | 2         | French
+10002          | 5         | null
+10003          | 4         | German
+;
+
+
+withAliasSort
+required_feature: esql.enrich_load
+
+from employees | eval x = to_string(languages) | keep emp_no, x  | sort emp_no | limit 3 
+| enrich languages_policy on x with lang = language_name;
+
+emp_no:integer | x:keyword | lang:keyword
+10001          | 2         | French
+10002          | 5         | null
+10003          | 4         | German
+;
+
+
+withAliasOverwriteName#[skip:-8.13.0]
+required_feature: esql.enrich_load
+
+from employees | sort emp_no
+| eval x = to_string(languages) | enrich languages_policy on x with emp_no = language_name
+| keep emp_no | limit 1
+;
+
+emp_no:keyword
+French
+;
+
+withAliasAndPlain
+required_feature: esql.enrich_load
+
+from employees  | sort emp_no desc | limit 3 | eval x = to_string(languages) | keep emp_no, x 
+| enrich languages_policy on x with lang = language_name, language_name;
+
+emp_no:integer | x:keyword | lang:keyword | language_name:keyword
+10100          | 4         | German       | German
+10099          | 2         | French       | French
+10098          | 4         | German       | German
+;
+
+
+withTwoAliasesSameProp
+required_feature: esql.enrich_load
+
+from employees  | sort emp_no | limit 1 | eval x = to_string(languages) | keep emp_no, x 
+| enrich languages_policy on x with lang = language_name, lang2 = language_name;
+
+emp_no:integer | x:keyword | lang:keyword | lang2:keyword
+10001          | 2         | French       | French
+;
+
+
+redundantWith
+required_feature: esql.enrich_load
+
+from employees  | sort emp_no | limit 1 | eval x = to_string(languages) | keep emp_no, x 
+| enrich languages_policy on x with language_name, language_name;
+
+emp_no:integer | x:keyword | language_name:keyword 
+10001          | 2         | French
+;
+
+
+nullInput
+required_feature: esql.enrich_load
+
+from employees  | where emp_no == 10017 | keep emp_no, gender
+| enrich languages_policy on gender with language_name, language_name;
+
+emp_no:integer | gender:keyword | language_name:keyword 
+10017          | null           | null
+;
+
+ 
+constantNullInput
+required_feature: esql.enrich_load
+
+from employees  | where emp_no == 10020 | eval x = to_string(languages) | keep emp_no, x 
+| enrich languages_policy on x with language_name, language_name;
+
+emp_no:integer | x:keyword | language_name:keyword 
+10020          | null      | null
+;
+
+
+multipleEnrich
+required_feature: esql.enrich_load
+
+row a = "1", b = "2", c = "10"  
+| enrich languages_policy on a with a_lang = language_name  
+| enrich languages_policy on b with b_lang = language_name  
+| enrich languages_policy on c with c_lang = language_name;
+
+a:keyword | b:keyword | c:keyword | a_lang:keyword | b_lang:keyword | c_lang:keyword
+1         | 2         | 10        | English        | French         | null
+;
+
+
+enrichEval
+required_feature: esql.enrich_load
+
+from employees | eval x = to_string(languages) 
+| enrich languages_policy on x with lang = language_name
+| eval language = concat(x, "-", lang)
+| keep emp_no, x, lang, language 
+| sort emp_no desc | limit 3;
+
+emp_no:integer | x:keyword | lang:keyword | language:keyword
+10100          | 4         | German       | 4-German
+10099          | 2         | French       | 2-French
+10098          | 4         | German       | 4-German
+;
+
+
+multivalue
+required_feature: esql.enrich_load
+required_feature: esql.mv_sort
+
+row a = ["1", "2"] | enrich languages_policy on a with a_lang = language_name | eval a_lang = mv_sort(a_lang);  
+
+a:keyword   | a_lang:keyword
+["1", "2"]  | ["English", "French"] 
+;
+
+
+enrichCidr#[skip:-8.13.99, reason:enrich for cidr added in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM sample_data
+| ENRICH client_cidr_policy ON client_ip WITH env
+| EVAL max_env = MV_MAX(env), count_env = MV_COUNT(env)
+| KEEP client_ip, count_env, max_env
+| SORT client_ip
+;
+
+client_ip:ip | count_env:i | max_env:keyword
+172.21.0.5   | 1           | Development
+172.21.2.113 | 2           | QA
+172.21.2.162 | 2           | QA
+172.21.3.15  | 2           | Production
+172.21.3.15  | 2           | Production
+172.21.3.15  | 2           | Production
+172.21.3.15  | 2           | Production
+;
+
+
+enrichCidr2#[skip:-8.99.99, reason:ip_range support not added yet]
+required_feature: esql.enrich_load
+
+FROM sample_data
+| ENRICH client_cidr_policy ON client_ip WITH env, client_cidr
+| KEEP client_ip, env, client_cidr
+| SORT client_ip
+;
+
+client_ip:ip | env:keyword               | client_cidr:ip_range
+172.21.3.15  | [Development, Production] | 172.21.3.0/24
+172.21.3.15  | [Development, Production] | 172.21.3.0/24
+172.21.3.15  | [Development, Production] | 172.21.3.0/24
+172.21.3.15  | [Development, Production] | 172.21.3.0/24
+172.21.0.5   | Development               | 172.21.0.0/16
+172.21.2.113 | [Development, QA]         | 172.21.2.0/24
+172.21.2.162 | [Development, QA]         | 172.21.2.0/24
+;
+
+
+enrichAgesStatsYear#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM employees
+| WHERE birth_date > "1960-01-01"
+| EVAL birth_year = DATE_EXTRACT("year", birth_date)
+| EVAL age = 2022 - birth_year
+| ENRICH ages_policy ON age WITH age_group = description
+| STATS count=count(age_group) BY age_group, birth_year
+| KEEP birth_year, age_group, count
+| SORT birth_year DESC
+;
+
+birth_year:long | age_group:keyword | count:long
+1965            | Middle-aged       | 1
+1964            | Middle-aged       | 4
+1963            | Middle-aged       | 7
+1962            | Senior            | 6
+1961            | Senior            | 8
+1960            | Senior            | 8
+;
+
+
+enrichAgesStatsAgeGroup#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM employees
+| WHERE birth_date IS NOT NULL
+| EVAL age = 2022 - DATE_EXTRACT("year", birth_date)
+| ENRICH ages_policy ON age WITH age_group = description
+| STATS count=count(age_group) BY age_group
+| SORT count DESC
+;
+
+count:long | age_group:keyword
+78         | Senior
+12         | Middle-aged
+;
+
+
+enrichHeightsStats#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM employees
+| ENRICH heights_policy ON height WITH height_group = description
+| STATS count=count(height_group), min=min(height), max=max(height) BY height_group
+| KEEP height_group, min, max, count
+| SORT min ASC
+;
+
+height_group:k | min:double | max:double | count:long
+Very Short     | 1.41       | 1.48       | 9
+Short          | 1.5        | 1.59       | 20
+Medium Height  | 1.61       | 1.79       | 26
+Tall           | 1.8        | 1.99       | 25
+Very Tall      | 2.0        | 2.1        | 20
+;
+
+
+enrichDecadesStats#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM employees
+| ENRICH decades_policy ON birth_date WITH birth_decade = decade, birth_description = description
+| ENRICH decades_policy ON hire_date WITH hire_decade = decade, hire_description = description
+| STATS count=count(*) BY birth_decade, hire_decade, birth_description, hire_description
+| KEEP birth_decade, hire_decade, birth_description, hire_description, count
+| SORT birth_decade DESC, hire_decade DESC
+;
+
+birth_decade:long | hire_decade:l | birth_description:k | hire_description:k | count:long
+null              | 1990          | null                | Nineties Nostalgia | 6
+null              | 1980          | null                | Radical Eighties   | 4
+1960              | 1990          | Swinging Sixties    | Nineties Nostalgia | 13
+1960              | 1980          | Swinging Sixties    | Radical Eighties   | 21
+1950              | 1990          | Nifty Fifties       | Nineties Nostalgia | 22
+1950              | 1980          | Nifty Fifties       | Radical Eighties   | 34
+;
+
+
+spatialEnrichmentKeywordMatch#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM airports
+| WHERE abbrev == "CPH"
+| ENRICH city_names ON city WITH airport, region, city_boundary
+| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
+| KEEP abbrev, city, city_location, country, location, name, airport, region, boundary_wkt_length
+;
+
+abbrev:keyword  |  city:keyword  |  city_location:geo_point |  country:keyword  |  location:geo_point                       |  name:text   |  airport:text  |  region:text         |  boundary_wkt_length:integer
+CPH             |  Copenhagen    |  POINT(12.5683 55.6761)  |  Denmark          |  POINT(12.6493508684508 55.6285017221528) |  Copenhagen  |  Copenhagen    |  Københavns Kommune  |  265
+;
+
+
+spatialEnrichmentGeoMatch#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM airports
+| WHERE abbrev == "CPH"
+| ENRICH city_boundaries ON city_location WITH airport, region, city_boundary
+| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
+| KEEP abbrev, city, city_location, country, location, name, airport, region, boundary_wkt_length
+;
+
+abbrev:keyword  |  city:keyword  |  city_location:geo_point |  country:keyword  |  location:geo_point                       |  name:text   |  airport:text  |  region:text         |  boundary_wkt_length:integer
+CPH             |  Copenhagen    |  POINT(12.5683 55.6761)  |  Denmark          |  POINT(12.6493508684508 55.6285017221528) |  Copenhagen  |  Copenhagen    |  Københavns Kommune  |  265
+;
+
+
+spatialEnrichmentGeoMatchStats#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+required_feature: esql.mv_warn
+
+FROM airports
+| ENRICH city_boundaries ON city_location WITH airport, region, city_boundary
+| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
+| STATS city_centroid = ST_CENTROID_AGG(city_location), count = COUNT(city_location), min_wkt = MIN(boundary_wkt_length), max_wkt = MAX(boundary_wkt_length)
+;
+warning:Line 3:30: evaluation of [LENGTH(TO_STRING(city_boundary))] failed, treating result as null. Only first 20 failures recorded.
+warning:Line 3:30: java.lang.IllegalArgumentException: single-value function encountered multi-value
+
+city_centroid:geo_point    |  count:long  |  min_wkt:integer  |  max_wkt:integer
+POINT(1.396561 24.127649)  |  872         |  88               |  1044
+;
+
+
+spatialEnrichmentKeywordMatchAndSpatialPredicate#[skip:-8.13.99, reason:st_intersects added in 8.14]
+required_feature: esql.enrich_load
+
+FROM airports
+| ENRICH city_names ON city WITH airport, region, city_boundary
+| MV_EXPAND city_boundary
+| EVAL airport_in_city = ST_INTERSECTS(location, city_boundary)
+| STATS count=COUNT(*) BY airport_in_city
+| SORT count ASC
+;
+
+count:long  |  airport_in_city:boolean
+114         |  null
+396         |  true
+455         |  false
+;
+
+
+spatialEnrichmentKeywordMatchAndSpatialAggregation#[skip:-8.13.99, reason:st_intersects added in 8.14]
+required_feature: esql.enrich_load
+
+FROM airports
+| ENRICH city_names ON city WITH airport, region, city_boundary
+| MV_EXPAND city_boundary
+| EVAL airport_in_city = ST_INTERSECTS(location, city_boundary)
+| STATS count=COUNT(*), centroid=ST_CENTROID_AGG(location) BY airport_in_city
+| SORT count ASC
+;
+
+count:long  |  centroid:geo_point            |  airport_in_city:boolean
+114         |  POINT (-24.750062 31.575549)  |  null
+396         |  POINT (-2.534797 20.667712)   |  true
+455         |  POINT (3.090752 27.676442)    |  false
+;
+
+
+spatialEnrichmentTextMatch#[skip:-8.13.99, reason:ENRICH extended in 8.14.0]
+required_feature: esql.enrich_load
+
+FROM airports
+| WHERE abbrev == "IDR"
+| ENRICH city_airports ON name WITH city_name = city, region, city_boundary
+| EVAL boundary_wkt_length = LENGTH(TO_STRING(city_boundary))
+| KEEP abbrev, city_name, city_location, country, location, name, name, region, boundary_wkt_length
+;
+
+abbrev:k  |  city_name:k  |  city_location:geo_point |  country:k  |  location:geo_point                       |  name:text                    |  region:text  |  boundary_wkt_length:i
+IDR       |  Indore       |  POINT(75.8472 22.7167)  |  India      |  POINT(75.8092915005895 22.727749187571)  |  Devi Ahilyabai Holkar Int'l  |  Indore City  |  231
+;

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/plugin/EsqlFeatures.java

@@ -136,6 +136,12 @@ public class EsqlFeatures implements FeatureSpecification {
      */
     public static final NodeFeature METADATA_FIELDS = new NodeFeature("esql.metadata_fields");
 
+    /**
+     * Support for loading values over enrich. This is supported by all versions of ESQL but not
+     * the unit test CsvTests.
+     */
+    public static final NodeFeature ENRICH_LOAD = new NodeFeature("esql.enrich_load");
+
     /**
      * Support for timespan units abbreviations
      */
@@ -174,7 +180,8 @@ public class EsqlFeatures implements FeatureSpecification {
             Map.entry(MV_WARN, Version.V_8_12_0),
             Map.entry(SPATIAL_POINTS, Version.V_8_12_0),
             Map.entry(CONVERT_WARN, Version.V_8_12_0),
-            Map.entry(POW_DOUBLE, Version.V_8_12_0)
+            Map.entry(POW_DOUBLE, Version.V_8_12_0),
+            Map.entry(ENRICH_LOAD, Version.V_8_12_0)
         );
     }
 }

x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java

@@ -224,6 +224,7 @@ public class CsvTests extends ESTestCase {
              * are tested in integration tests.
              */
             assumeFalse("metadata fields aren't supported", testCase.requiredFeatures.contains(EsqlFeatures.METADATA_FIELDS.id()));
+            assumeFalse("enrich can't load fields in csv tests", testCase.requiredFeatures.contains(EsqlFeatures.ENRICH_LOAD.id()));
             doTest();
         } catch (Throwable th) {
             throw reworkException(th);