[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["The `SparkSqlBatch` class in the Google Cloud Dataproc v1 API allows users to configure and run Apache Spark SQL queries as batch workloads."],["It supports various versions, with the latest being version 5.17.0, and provides access to documentation for multiple older versions as well."],["The `SparkSqlBatch` class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, allowing for complex message handling and manipulation."],["Key properties include `JarFileUris`, which allows users to add external jar files to the Spark CLASSPATH, `QueryFileUri`, used to define the script containing Spark SQL queries, and `QueryVariables`, where users can define variables for use in their queries."],["It inherits from the base `object` class and supports essential operations such as getting the hash code, type, and string representation of the object."]]],[]]