Despite having a GIN index on to_tsvector('english', content), a query using to_tsvector('french', content) is slow. What is the most probable reason?

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PostgreSQL - Full-Text Search

Despite having a GIN index on to_tsvector('english', content), a query using to_tsvector('french', content) is slow. What is the most probable reason?

APostgreSQL does not support multiple languages in full-text search.

BThe GIN index does not support full-text search on text columns.

CThe query is missing an explicit <code>WHERE</code> clause.

DThe GIN index was created with a different text search configuration than the query uses.

Step-by-Step Solution

Solution:

Step 1: Understand index configuration
GIN indexes on full-text search are tied to the text search configuration (language) used in to_tsvector.
Step 2: Check query vs index language
If the index was created with 'english' but the query uses 'french', the index cannot be used efficiently.
Step 3: Identify cause of slowness
Because the configurations differ, the index is not utilized, causing slow queries.
Final Answer:
The GIN index was created with a different text search configuration than the query uses. -> Option D
Quick Check:
Matching language config between index and query is essential [OK]

Quick Trick: Index and query must use same language config [OK]

Common Mistakes:

Assuming GIN indexes work regardless of language config
Believing GIN indexes support all languages automatically
Ignoring the need to recreate index for different languages

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Despite having a GIN index on to_tsvector('english', content), a query using to_tsvector('french', content) is slow. What is the most probable reason?

Step 1: Understand index configuration

Step 2: Check query vs index language

Step 3: Identify cause of slowness

Final Answer:

Quick Check:

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