SQLParity

SQL converter

Rewrite quoting, escaping, row limits and function names between 16 dialects, with a list of what it refused to guess at.

1

PostgreSQL query

2

Apache Hive query

What it changed

  • '', backslash is literal\', backslash escapes1 place
  • current timestampCURRENT_TIMESTAMP1 place
  • VARCHARSTRING1 place

What you still need to do

1 thing this tool will not guess at

  • Array subscript

    PostgreSQL counts array positions from 1, Apache Hive from 0: the same arr[1] is the first element in one and the second in the other, with no error. Adjust every index by one.

Anything left in this list was recognised and left as it was on purpose. A function renamed to one that takes its arguments in a different order produces SQL that runs and returns the wrong rows, which is worse than SQL that fails.

Converting PostgreSQL to Apache Hive: Key Syntax Differences

Translating SQL queries between PostgreSQL and Apache Hive involves subtle dialect differences that standard text find-and-replace often misses. Everything below is processed entirely in your browser using SQLParity.

Identifier Quoting

PostgreSQL: "name"

Apache Hive: `name`

String Literal Escaping

PostgreSQL: Quotes are doubled (''), backslash is literal.

Apache Hive: Quotes are escaped with backslash (\'), backslash is an escape character.

Null-Safe Equality

Apache Hive: NOT (colA <=> colB)

Why In-Browser SQL Conversion Matters

Database migrations frequently involve proprietary business logic, sensitive table schemas, and production column names. When converting SQL between PostgreSQL and Apache Hive, SQLParity executes all parsing, tokenization, and code rewriting locally in your browser. Zero queries or schemas are transmitted to remote servers.