Numeric field types in Elasticsearch - Cheat Sheet & Quick Revision

Recall & Review

beginner

What are numeric field types in Elasticsearch?

Numeric field types in Elasticsearch are data types used to store numbers, such as integers and floating-point values, enabling efficient searching and sorting.

beginner

Name three integer numeric field types in Elasticsearch.

Three integer numeric field types are integer (32-bit), long (64-bit), and short (16-bit).

intermediate

What is the difference between float and double numeric types?

float stores 32-bit floating-point numbers with less precision, while double stores 64-bit floating-point numbers with higher precision.

intermediate

Why choose scaled_float over float in Elasticsearch?

scaled_float stores floating-point numbers as scaled integers, improving accuracy and performance for decimal values by avoiding floating-point rounding errors.

advanced

How does Elasticsearch store numeric fields internally?

Elasticsearch stores numeric fields as binary data optimized for fast range queries, sorting, and aggregations, using different sizes depending on the numeric type.

Which numeric field type in Elasticsearch is 64-bit integer?

A long

B integer

C short

D byte

long is the 64-bit integer type in Elasticsearch, suitable for large integer values.

What numeric type would you use for a 32-bit floating-point number?

A scaled_float

B double

C float

D integer

float stores 32-bit floating-point numbers in Elasticsearch.

Which numeric type stores decimal values as scaled integers?

A double

B long

C byte

D scaled_float

scaled_float stores decimal numbers as scaled integers to improve precision.

Which numeric type uses the least storage size?

A byte

B integer

C long

D double

byte uses 8 bits, the smallest storage size among numeric types.

Why is choosing the correct numeric type important in Elasticsearch?

A To enable full-text search

B To improve query speed and storage efficiency

C To avoid using text fields

D To make the data human-readable

Choosing the right numeric type optimizes storage and speeds up queries like sorting and range searches.

Explain the main numeric field types in Elasticsearch and when to use each.

Think about size and precision differences.

Describe how Elasticsearch stores numeric fields and why this matters for performance.

Consider how data format affects speed.