[[["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 2025-08-07 UTC."],[],[],null,["# Package Classes (0.3.0)\n\nVersion latestkeyboard_arrow_down\n\n- [0.3.0 (latest)](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/summary_class)\n- [0.2.3](/python/docs/reference/langchain-google-cloud-sql-mysql/0.2.3/summary_class) \nSummary of entries of Classes for langchain-google-cloud-sql-mysql. \n\nClasses\n-------\n\n### [MySQLChatMessageHistory](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.chat_message_history.MySQLChatMessageHistory)\n\nChat message history stored in a Cloud SQL MySQL database.\n\n### [Column](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.engine.Column)\n\nColumn(name: 'str', data_type: 'str', nullable: 'bool' = True)\n\n### [MySQLEngine](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.engine.MySQLEngine)\n\nA class for managing connections to a Cloud SQL for MySQL database.\n\n### [DistanceMeasure](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.indexes.DistanceMeasure)\n\nEnumerates the types of distance measures that can be used in searches.\n\nSquared L2 norm (Euclidean) distance.\n\n### [IndexType](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.indexes.IndexType)\n\nDefines the types of indexes that can be used for vector storage.\n\nA tree-based index, specifically Annoy (Approximate Nearest Neighbors Oh Yeah).\n\n### [QueryOptions](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.indexes.QueryOptions)\n\nHolds configuration options for executing a search query.\n\n### [SearchType](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.indexes.SearchType)\n\nDefines the types of search algorithms that can be used.\n\nApproximate Nearest Neighbors search.\n\n### [VectorIndex](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.indexes.VectorIndex)\n\nRepresents a vector index for storing and querying vectors.\n\n### [MySQLDocumentSaver](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.loader.MySQLDocumentSaver)\n\nA class for saving langchain documents into a Cloud SQL MySQL database table.\n\n### [MySQLLoader](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.loader.MySQLLoader)\n\nA class for loading langchain documents from a Cloud SQL MySQL database.\n\n### [MySQLVectorStore](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.vectorstore.MySQLVectorStore)\n\nConstructor for MySQLVectorStore.\n\nModules\n-------\n\n### [chat_message_history](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.chat_message_history)\n\nAPI documentation for `chat_message_history` module.\n\n### [engine](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.engine)\n\nAPI documentation for `engine` module.\n\n### [indexes](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.indexes)\n\nAPI documentation for `indexes` module.\n\n### [loader](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.loader)\n\nAPI documentation for `loader` module.\n\n### [vectorstore](/python/docs/reference/langchain-google-cloud-sql-mysql/latest/langchain_google_cloud_sql_mysql.vectorstore)\n\nAPI documentation for `vectorstore` module."]]