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Add Unable To Infer Data Type In Production as a Postgres TIL
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postgres/unable-to-infer-data-type-in-production.md
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# Unable To Infer Data Type In Production
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Inspired by [You Probably Don't Need Query
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Builders](https://mattrighetti.com/2025/01/20/you-dont-need-sql-builders), I
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wrote a query in one of my applications that has filter clauses that get
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short-circuited if the filter value hasn't been included.
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That query looked something like this:
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```ruby
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@tags =
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Tag.where("? is null or normalized_value ilike ?", normalized_query, "%#{normalized_query}%")
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.order(:normalized_value)
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.limit(10)
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```
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The `normalized_value ilike ?` filtering won't be applied if the
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`normalized_query` value isn't present (`nil`). This helps me avoid writing
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messy ternaries or if-else conditional query building madness.
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Unfortunately, when I shipped this query to production, the page started
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failing and Postgres was reporting this error in the logs.
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```
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Caused by: PG::IndeterminateDatatype (ERROR: could not determine data type of parameter $1)
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```
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The query is prepared as a parameterized statement and Postgres appears to be
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unable to determine the datatype of the first parameter (`$1`) —
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`normalized_query`.
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I was unable to reproduce the issue in development. It was only occuring in
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production. Until I can come up with a root cause analysis, I have the
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following fix that does a casting to `text`. This helps out with the type
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inference and makes the issue go away.
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```ruby
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@tags =
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Tag.where("cast(? as text) is null or normalized_value ilike ?", normalized_query, "%#{normalized_query}%")
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.order(:normalized_value)
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.limit(10)
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```
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Interestingly, this person using `pgtyped` [ran into the exact same issue with
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the same type of query](https://github.com/adelsz/pgtyped/issues/354).
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