Render(IntrospectMySQL, dialect = :mysql) |> String Database introspection (Microsoft SQL Server) Select(Get.table_schema, Get.table_name, Get.column_name) Order(Get.table_schema, Get.table_name, Get.ordinal_position) |> = Fun.coalesce(Var.schema, Fun.database())) |> (schema != nothing ? String(schema) : missing,)) |>Īlternatively, we could generate the introspection query using FunSQL. Introspect_mysql(conn, schema = nothing) =ĭBInterface.prepare(conn, introspect_mysql_sql), ORDER BY table_schema, table_name, ordinal_position WHERE table_schema = COALESCE(?, DATABASE()) SELECT table_schema AS `schema`, table_name AS `name`, column_name AS `column` See the section Database introspection (SQLite) for the definition of the make_tables() function and instructions on how to bring the generated SQLTable objects into the global scope. The following code generates SQLTable objects for a MySQL database. Render(IntrospectPostgreSQL, dialect = :postgresql) Database introspection (MySQL) Where(Fun.has_table_privilege(Get.oid, "SELECT")) |> Introspect_postgresql(conn, schema = :public) =Įxecute(conn, introspect_postgresql_sql, (String(schema),)) |>Īlternatively, we could generate the introspection query using FunSQL. JOIN pg_catalog.pg_attribute AS a ON (c.oid = a.attrelid) JOIN pg_catalog.pg_class AS c ON (n.oid = c.relnamespace) SELECT n.nspname AS schema, c.relname AS name, a.attname AS column The following code generates SQLTable objects for a PostgreSQL database. for t in const $(t.name) = $tĪlternatively, we could encapsulate all SQLTable objects in a NamedTuple. It is convenient to add the SQLTable objects to the global scope. The vector tables contains all the tables available in the database. T = SQLTable(schema = schema, name = name, columns = columns) WHERE sm.type IN ('table', 'view') AND sm.name NOT LIKE 'sqlite_%'ĭBInterface.execute(conn, introspect_sqlite_sql) |> SELECT NULL AS schema, sm.name, pti.name AS columnįROM sqlite_master sm, pragma_table_info(sm.name) pti For SQLite, this could be done as follows. Instead of creating SQLTable objects manually, we could create them automatically by extracting the information about the available tables from the database itself. Select, Sort, Var, Where, render Database introspection (SQLite)įor each database table referenced in a query, we need to create a SQLTable object encapsulating the name of the table and the list of the table columns. Highlight, Join, LeftJoin, Limit, Lit, Order, Partition, SQLTable, using FunSQL:Īgg, Append, As, Asc, Bind, Define, Desc, Fun, From, Get, Group, The following statement imports all available query constructors, a SQLTable constructor, and the function render. using SQLiteĬonst conn = SQLite.DB(DB) Importing FunSQLįunSQL does not export any symbols by default. using Pkg.Artifacts, LazyArtifactsĬonst DB = joinpath(artifact"synpuf-10p", "synpuf-10p.sqlite")Ĭreate a SQLite connection object. const URL = ""ĭownload the database file as an artifact. See the Usage Guide for the description of the database schema.ĭownload the database file. In the following examples, we use a SQLite database containing a tiny sample of the CMS DE-SynPuf dataset. To actually run these queries, we need a regular database library such as SQLite.jl, LibPQ.jl, MySQL.jl, or ODBC.jl. Examples Establishing a database connection
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