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OpenSearchUtil

Utilities for working with OpenSearch.

  • IndexGenerator: given an object, makes an OpenSearch index template,
  • MappingPropertiesBuilder and generation of index mappings: given an object, makes an OpenSearch index mapping,
  • Field types: go types for struct fields that:
    • when the struct is marshalled into JSON, the fields get marshalled into valid OpenSearch types,
    • when generating an index mapping JSON, the fields get assigned the appropriate OpenSearch type and format.

IndexGenerator

package main

import (
  _ "embed"
  "fmt"
  "github.com/varfrog/opensearchutil"
  "os"
)

func main() {
  type location struct {
    FullAddress string
    Confirmed   bool
  }
  type person struct {
    Name           string
    Aliases        []string
    Email          string `opensearch:"type:keyword"`
    DOB            opensearchutil.TimeBasicDateTimeNoMillis
    Age            uint8
    AccountBalance float64
    IsDead         bool
    HomeLoc        location
    WorkLoc        *location
    SocialSecurity *string `opensearch:"index_prefixes:min_chars=3;max_chars=5"`
  }

  builder := opensearchutil.NewMappingPropertiesBuilder()
  jsonGenerator := opensearchutil.NewIndexGenerator()

  mappingProperties, err := builder.BuildMappingProperties(person{})
  if err != nil {
    fmt.Printf("BuildMappingProperties: %v", err)
    os.Exit(1)
  }

  indexJson, err := jsonGenerator.GenerateIndexJson(
    mappingProperties, &opensearchutil.IndexSettings{
      NumberOfShards: opensearchutil.MakePtr(uint16(1)),
    },
    opensearchutil.WithStrictMapping(true))
  if err != nil {
    fmt.Printf("GenerateIndexJson: %v", err)
    os.Exit(1)
  }
  fmt.Printf("%s\n", string(indexJson))
}

Output:

{
  "mappings": {
    "dynamic": "strict",
    "properties": {
      "account_balance": {
        "type": "float"
      },
      "age": {
        "type": "integer"
      },
      "aliases": {
        "type": "text"
      },
      "dob": {
        "format": "basic_date_time_no_millis",
        "type": "date"
      },
      "email": {
        "type": "keyword"
      },
      "home_loc": {
        "properties": {
          "confirmed": {
            "type": "boolean"
          },
          "full_address": {
            "type": "text"
          }
        }
      },
      "is_dead": {
        "type": "boolean"
      },
      "name": {
        "type": "text"
      },
      "social_security": {
        "index_prefixes": {
          "max_chars": "5",
          "min_chars": "3"
        },
        "type": "text"
      },
      "work_loc": {
        "properties": {
          "confirmed": {
            "type": "boolean"
          },
          "full_address": {
            "type": "text"
          }
        }
      }
    }
  },
  "settings": {
    "number_of_shards": 1
  }
}

The resulting JSON contents is then used in a request to the Create index API request. Also specify "settings" and "aliases" that suit your needs.

MappingPropertiesBuilder

MappingPropertiesBuilder takes in an object and generates an index mapping for it.

package main

import (
  "fmt"
  "github.com/varfrog/opensearchutil"
  "os"
)

func main() {
  type address struct {
    streetName string
  }

  type person struct {
    Name      string
    Email     string `opensearch:"type:keyword"`
    Addresses []address
  }

  mappingPropertiesBuilder := opensearchutil.NewMappingPropertiesBuilder()
  generator := opensearchutil.NewIndexGenerator()

  mappingProperties, err := mappingPropertiesBuilder.BuildMappingProperties(person{})
  if err != nil {
    fmt.Printf("BuildMappingProperties: %v", err)
    os.Exit(1)
  }

  indexJson, err := generator.GenerateMappingsJson(mappingProperties)
  if err != nil {
    fmt.Printf("GenerateMappingsJson: %v", err)
    os.Exit(1)
  }
  fmt.Printf("%s\n", string(indexJson))
}

Output:

{
  "properties": {
    "addresses": {
      "properties": {
        "street_name": {
          "type": "text"
        }
      }
    },
    "email": {
      "type": "keyword"
    },
    "name": {
      "type": "text"
    }
  }
}

Field Types

package main

import (
	"encoding/json"
	"fmt"
	"github.com/varfrog/opensearchutil"
	"os"
	"time"
)

func main() {
	type dates struct {
		DateA opensearchutil.TimeBasicDate             `json:"date_a"`
		DateB opensearchutil.TimeBasicDateTimeNoMillis `json:"date_b"`
		DateC opensearchutil.TimeBasicDateTime         `json:"date_c"`
	}

	t := time.Now()
	d := dates{
		DateA: opensearchutil.TimeBasicDate(t),
		DateB: opensearchutil.TimeBasicDateTimeNoMillis(t),
		DateC: opensearchutil.TimeBasicDateTime(t),
	}

	// When generating an index mapping JSON, the fields get assigned the approprate OpenSearch type and format
	//
	mappingProperties, err := opensearchutil.NewMappingPropertiesBuilder().BuildMappingProperties(d)
	if err != nil {
		fmt.Printf("BuildMappingProperties: %v", err)
		os.Exit(1)
	}
	jsonBytes, err := opensearchutil.NewIndexGenerator().GenerateIndexJson(mappingProperties, nil)
	if err != nil {
		fmt.Printf("GenerateIndexJson: %v", err)
		os.Exit(1)
	}
	fmt.Printf("Mapping JSON:\n%s\n", string(jsonBytes))

	// When marshalling into JSON, the fields marshall into the approprate formats:
	//
	jsonBytes, err = json.MarshalIndent(&d, "", "  ")
	if err != nil {
		fmt.Printf("json.MarshalIndent: %v", err)
		os.Exit(1)
	}
	fmt.Printf("\nDocument body:\n%s\n", string(jsonBytes))
}

Output:

Mapping JSON:
{
   "mappings": {
      "properties": {
         "date_a": {
            "format": "basic_date",
            "type": "date"
         },
         "date_b": {
            "format": "basic_date_time_no_millis",
            "type": "date"
         },
         "date_c": {
            "format": "basic_date_time",
            "type": "date"
         }
      }
   }
}

Document body:
{
  "date_a": "20230223",
  "date_b": "20230223T224633+02:00",
  "date_c": "20230223T224633.808+02:00"
}