Numeric field types in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define an integer field in Elasticsearch mapping.

Elasticsearch

{
  "mappings": {
    "properties": {
      "age": { "type": "[1]" }
    }
  }
}

Drag options to blanks, or click blank then click option'

Adate

Btext

Ckeyword

Dinteger

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'text' instead of a numeric type.

Using 'keyword' which is for exact string matches.

The integer type is used to store whole numbers in Elasticsearch.

2fill in blank

medium

Complete the code to define a floating point number field in Elasticsearch mapping.

Elasticsearch

{
  "mappings": {
    "properties": {
      "price": { "type": "[1]" }
    }
  }
}

Drag options to blanks, or click blank then click option'

Afloat

Binteger

Ckeyword

Dboolean

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'integer' which only stores whole numbers.

Using 'boolean' which stores true/false values.

The float type stores decimal numbers in Elasticsearch.

3fill in blank

hard

Fix the error in the mapping by choosing the correct numeric type for a large integer value.

Elasticsearch

{
  "mappings": {
    "properties": {
      "population": { "type": "[1]" }
    }
  }
}

Drag options to blanks, or click blank then click option'

Ainteger

Blong

Cshort

Dbyte

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'integer' which has a smaller range.

Using 'byte' or 'short' which are for smaller numbers.

The long type is used for large integer values beyond the range of integer.

4fill in blank

hard

Fill both blanks to define a mapping with a double and a scaled_float field.

Elasticsearch

{
  "mappings": {
    "properties": {
      "rating": { "type": "[1]" },
      "price_scaled": { "type": "[2]" }
    }
  }
}

Drag options to blanks, or click blank then click option'

Adouble

Bscaled_float

Cfloat

Dinteger

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'integer' for decimal numbers.

Mixing up 'float' and 'scaled_float' types.

double stores double precision floating point numbers.
scaled_float stores floating numbers with a scaling factor for precision.

5fill in blank

hard

Fill all three blanks to define a mapping with byte, short, and integer numeric types.

Elasticsearch

{
  "mappings": {
    "properties": {
      "small_number": { "type": "[1]" },
      "medium_number": { "type": "[2]" },
      "large_number": { "type": "[3]" }
    }
  }
}

Drag options to blanks, or click blank then click option'

Abyte

Bshort

Cinteger

Dlong

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'long' for small numbers.

Mixing up the order of numeric types.

byte stores very small integers.
short stores small integers.
integer stores medium range integers.