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80_text.yml
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80_text.yml
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---
setup:
- do:
indices.create:
index: test
body:
mappings:
properties:
"emp_no":
type: long
name:
type: keyword
job:
type: text
fields:
raw:
type: keyword
tag:
type: text
- do:
bulk:
index: test
refresh: true
body:
- { "index": { } }
- { "emp_no": 10, "name": "Jenny", "job": "IT Director", "tag": "foo bar" }
- { "index": { } }
- { "emp_no": 20, "name": "John", "job": "Payroll Specialist", "tag": "baz" }
---
"filter by text":
- do:
esql.query:
body:
query: 'from test | where tag == "baz" | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
---
"like by text":
- do:
esql.query:
body:
query: 'from test | where tag LIKE "*az" | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
---
"rlike by text":
- do:
esql.query:
body:
query: 'from test | where tag RLIKE ".*az" | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
---
"eval and filter text":
- do:
esql.query:
body:
query: 'from test | eval x = tag | where x == "baz" | keep emp_no, name, job, x'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "x" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
---
"filter on text multi-field":
- do:
esql.query:
body:
query: 'from test | where job == "IT Director" | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 10, "Jenny", "IT Director", "foo bar"] }
---
"like by multi-field text":
- do:
esql.query:
body:
query: 'from test | where job LIKE "*Specialist" | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
---
"rlike by multi-field text":
- do:
esql.query:
body:
query: 'from test | where job RLIKE ".*Specialist" | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 1 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
---
"sort by text":
- do:
esql.query:
body:
query: 'from test | sort tag | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 2 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
- match: { values.1: [ 10, "Jenny", "IT Director", "foo bar"] }
---
"sort by text multi-field":
- do:
esql.query:
body:
query: 'from test | sort job | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 2 }
- match: { values.0: [ 10, "Jenny", "IT Director", "foo bar"] }
- match: { values.1: [ 20, "John", "Payroll Specialist", "baz"] }
---
"sort by text multi-field desc":
- do:
esql.query:
body:
query: 'from test | sort job desc | keep emp_no, name, job, tag'
- match: { columns.0.name: "emp_no" }
- match: { columns.0.type: "long" }
- match: { columns.1.name: "name" }
- match: { columns.1.type: "keyword" }
- match: { columns.2.name: "job" }
- match: { columns.2.type: "text" }
- match: { columns.3.name: "tag" }
- match: { columns.3.type: "text" }
- length: { values: 2 }
- match: { values.0: [ 20, "John", "Payroll Specialist", "baz"] }
- match: { values.1: [ 10, "Jenny", "IT Director", "foo bar"] }
---
"text in functions":
- do:
esql.query:
body:
query: 'from test | sort name | eval description = concat(name, " - ", job) | keep description'
- match: { columns.0.name: "description" }
- match: { columns.0.type: "keyword" }
- length: { values: 2 }
- match: { values.0: [ "Jenny - IT Director"] }
- match: { values.1: [ "John - Payroll Specialist"] }