Creating custom analyzer in `CreateSearchView` by defining the analyzer in `driver.ArangoSearchElementProperties`

[aaqibb13]

• I'm trying my hands on custom analyzers for text processing. For reference,State-of-the-art-preprocessing-and-filtering-with-arangosearch is an excellent resource to emphasize on text-processing capabilities of arangosearch with custom analyzers.
• I've tried by defining my analyzer in driver.ArangoSearchElementProperties itself. I've tried it in the following way:

viewName, err := db.CreateArangoSearchView(ctx, myViewName, &driver.ArangoSearchViewProperties{
Links: driver.ArangoSearchLinks{
	collectionName: driver.ArangoSearchElementProperties{
		AnalyzerDefinitions: []driver.ArangoSearchAnalyzerDefinition{
			{
				Name: "custom_analyzer",
				Type: driver.ArangoSearchAnalyzerTypePipeline,
				Properties: driver.ArangoSearchAnalyzerProperties{
					Locale: "en_US.utf-8",
					Pipeline: []driver.ArangoSearchAnalyzerPipeline{
						{
							Type: driver.ArangoSearchAnalyzerTypeNorm,
							Properties: driver.ArangoSearchAnalyzerProperties{
								Locale: "en_US.utf-8",
							},
						},
						{
							Type: driver.ArangoSearchAnalyzerTypeNGram,
							Properties: driver.ArangoSearchAnalyzerProperties{
								Min:              utils.NewInt64(1),
								Max:              utils.NewInt64(14),
								PreserveOriginal: utils.NewBool(false),
							},
						},
					},
				},
			},
		},
		Fields: map[string]driver.ArangoSearchElementProperties{
			"businessName": {
				Analyzers: []string{
					"text_en",
				},
			},
			"locationName": {
				Analyzers: []string{
					"text_en",
				},
			},
		},
	},
},
	})
	if err != nil {
		log.Println("error creating view: ", err)
	}

• Do I need to add my custom_analyzer in Fields like:

Fields: map[string]driver.ArangoSearchElementProperties{
			"businessName": {
				Analyzers: []string{
					"text_en",
                                       "custom_analyzer",
				},
			},
			"locationName": {
				Analyzers: []string{
					"text_en",
                                       "custom_analyzer",
				},
			},
		},

or the underlying analyzer that I'm using, like norm and ngram for instance.

• What I want to achieve is to create a pipeline type analyzer with underlying norm and ngram analyzers. What I'm trying to achieve is this:

analyzers.save(
  'bigram', 
  'pipeline', 
  { 
    pipeline: [ 
      { type:'norm',  properties: { locale:'en', case:'lower'} }, 
      { type:'ngram', properties: { min:2, max:2, preserveOriginal: false, streamType:'utf8' } }
    ]
  }, 
  ["frequency","norm","position"]);

As a side note: I did look at #318 and tried to find a work around database_arangosearch_analyzers_impl.go. I'd love any help in this regard.
@maierlars to the rescue, maybe? ;)

[jwierzbo]

I've prepared E2E test to implement above arangsh code:
https://github.com/arangodb/go-driver/pull/394/files

Let me know if now it is clear for you :)

[aaqibb13]

@jwierzbo Thanks. I was able to create my SearchView with my custom analyzer! 👍🏼