# 1. Create DataFrame (like CREATE TABLE) df = spark.createDataFrame([(1, "Alice"), (2, "Bob")], ["id", "name"]) # 2. Show Schema (like DESCRIBE TABLE) df.printSchema ...

The rapid advancements in text-to-SQL systems have driven the scientific community to create increasingly complex benchmarks for this task. However, evaluation metrics often rely on simplistic or ...

As a Software Engineer with extensive experience in optimization and security, I have encountered numerous legacy codebases that pose challenges in maintainability, performance, and security. Legacy ...

If two SQL returns different results -> test fails. Application supports TeamCity Service Messages (##teamcity messages) so if teamcityLogsEnabled is set to "true" (config file or command line ...

An elegant lightweight and efficient SQL Query Builder with fluid interface SQL syntax supporting bindings and complicated query generation. Works without establishing a connection to the database.