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b/json-relational-duality/DualityViewTutorial using SQL 23ai.sql new file mode 100644 index 00000000..76a02e0c --- /dev/null +++ b/json-relational-duality/DualityViewTutorial using SQL 23ai.sql @@ -0,0 +1,636 @@ +/* +** Copyright (c) 2023, 2024 Oracle and/or its affiliates +** The Universal Permissive License (UPL), Version 1.0 +** +** Subject to the condition set forth below, permission is hereby granted to any +** person obtaining a copy of this software, associated documentation and/or data +** (collectively the "Software"), free of charge and under any and all copyright +** rights in the Software, and any and all patent rights owned or freely +** licensable by each licensor hereunder covering either (i) the unmodified +** Software as contributed to or provided by such licensor, or (ii) the Larger +** Works (as defined below), to deal in both +** +** (a) the Software, and +** (b) any piece of software and/or hardware listed in the lrgrwrks.txt file if +** one is included with the Software (each a "Larger Work" to which the Software +** is contributed by such licensors), +** +** without restriction, including without limitation the rights to copy, create +** derivative works of, display, perform, and distribute the Software and make, +** use, sell, offer for sale, import, export, have made, and have sold the +** Software and the Larger Work(s), and to sublicense the foregoing rights on +** either these or other terms. +** +** This license is subject to the following condition: +** The above copyright notice and either this complete permission notice or at +** a minimum a reference to the UPL must be included in all copies or +** substantial portions of the Software. +** +** THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +** IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +** FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +** AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +** LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +** OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +** SOFTWARE. +*/ + +-- TITLE +-- Working with JSON Relational Duality Views using SQL. +-- +-- DESCRIPTION +-- This tutorial script walks you through examples of working with +-- JSON Relational Duality Views using Formula-1 (auto-racing) season data +-- through SQL. +-- +-- PREREQUISITES +-- Ensure that you have Oracle database 23c installed and running on a +-- port. Ensure that the compatible parameter is set to 23.0.0.0. +-- +-- USAGE +-- Connect to the database as a regular (non-SYS) user and run this +-- script. The user must have create session and resource privileges. +-- A demo user (janus) can be created using this statement: +-- GRANT CTXAPP, CONNECT, RESOURCE, UNLIMITED TABLESPACE, CREATE ANY +-- DIRECTORY, DROP ANY DIRECTORY, DBA TO janus IDENTIFIED BY janus; +-- +-- NOTES +-- Oracle Database 23c Free - Developer Release is the first release of +-- the next-generation Oracle Database, allowing developers a head-start +-- on building applications with innovative 23c features that simplify +-- development of modern data-driven apps. The entire feature set of +-- Oracle Database 23c is planned to be generally available within the +-- next 12 months. +-- +-- Please go through the duality view documentation +-- (https://docs.oracle.com/en/database/oracle/oracle-database/23/jsnvu/index.html) +-- to learn more about duality views and their advantages. +-- This tutorial is analogous to the REST (Working with JSON Relational +-- Duality Views using REST) and MongoAPI (Working with JSON Relational +-- Duality Views using Oracle Database API for MongoDB) tutorials. +-- Additional resources: +-- Duality Views blog (posted October 2022): https://blogs.oracle.com/database/post/json-relational-duality-app-dev?source=:so:ch:or:awr::::OCW23cbeta +-- Oracle CloudWorld 2022 keynote - https://www.youtube.com/watch?v=e8-jBkO1NqY&t=17s + +SET ECHO ON +SET FEEDBACK 1 +SET NUMWIDTH 10 +SET LINESIZE 80 +SET TRIMSPOOL ON +SET TAB OFF +SET PAGESIZE 100 +SET LONG 20000 + +prompt +prompt ** Working with JSON Relational Duality Views using SQL ** +prompt + +-- Do cleanup for previous run (if any). +-- +drop view if exists team_dv; +drop view if exists race_dv; +drop view if exists driver_dv; +drop table if exists driver_race_map; +drop table if exists race; +drop table if exists driver; +drop table if exists team; + + +-------------------------------------------------- +-- Step 1: Create JSON Relational Duality Views -- +-------------------------------------------------- + +-- Create base tables for the duality views. +-- +CREATE TABLE team + (team_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + points INTEGER NOT NULL, + CONSTRAINT team_pk PRIMARY KEY(team_id)); + +CREATE TABLE driver + (driver_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + points INTEGER NOT NULL, + team_id INTEGER, + CONSTRAINT driver_pk PRIMARY KEY(driver_id), + CONSTRAINT driver_fk FOREIGN KEY(team_id) REFERENCES team(team_id)); + +CREATE INDEX driver_fk_idx ON driver (team_id); + +CREATE TABLE race + (race_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + laps INTEGER NOT NULL, + race_date DATE, + podium JSON, + CONSTRAINT race_pk PRIMARY KEY(race_id)); + +CREATE TABLE driver_race_map + (driver_race_map_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + race_id INTEGER NOT NULL, + driver_id INTEGER NOT NULL, + position INTEGER, + CONSTRAINT driver_race_map_uk UNIQUE (race_id, driver_id), + CONSTRAINT driver_race_map_pk PRIMARY KEY(driver_race_map_id), + CONSTRAINT driver_race_map_fk1 FOREIGN KEY(race_id) REFERENCES race(race_id), + CONSTRAINT driver_race_map_fk2 FOREIGN KEY(driver_id) REFERENCES driver(driver_id)); + +CREATE INDEX driver_race_map_fk1_idx ON driver_race_map (race_id); +CREATE INDEX driver_race_map_fk2_idx ON driver_race_map (driver_id); + +-- Create a trigger on the driver_race_map table to populate +-- the points fields in team and driver based on race results. +-- +CREATE OR REPLACE TRIGGER driver_race_map_trigger + BEFORE INSERT ON driver_race_map + FOR EACH ROW + DECLARE + v_points INTEGER; + v_team_id INTEGER; +BEGIN + SELECT team_id INTO v_team_id FROM driver WHERE driver_id = :NEW.driver_id; + + IF :NEW.position = 1 THEN + v_points := 25; + ELSIF :NEW.position = 2 THEN + v_points := 18; + ELSIF :NEW.position = 3 THEN + v_points := 15; + ELSIF :NEW.position = 4 THEN + v_points := 12; + ELSIF :NEW.position = 5 THEN + v_points := 10; + ELSIF :NEW.position = 6 THEN + v_points := 8; + ELSIF :NEW.position = 7 THEN + v_points := 6; + ELSIF :NEW.position = 8 THEN + v_points := 4; + ELSIF :NEW.position = 9 THEN + v_points := 2; + ELSIF :NEW.position = 10 THEN + v_points := 1; + ELSE + v_points := 0; + END IF; + + UPDATE driver SET points = points + v_points + WHERE driver_id = :NEW.driver_id; + UPDATE team SET points = points + v_points + WHERE team_id = v_team_id; +END; +/ + +-- Create race view, RACE_DV +-- + +-- Creation using SQL syntax +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW race_dv AS + SELECT JSON {'_id' : r.race_id, + 'name' : r.name, + 'laps' : r.laps WITH NOUPDATE, + 'date' : r.race_date, + 'podium' : r.podium WITH NOCHECK, + 'result' : + [ SELECT JSON {'driverRaceMapId' : drm.driver_race_map_id, + 'position' : drm.position, + UNNEST + (SELECT JSON {'driverId' : d.driver_id, + 'name' : d.name} + FROM driver d WITH NOINSERT UPDATE NODELETE + WHERE d.driver_id = drm.driver_id)} + FROM driver_race_map drm WITH INSERT UPDATE DELETE + WHERE drm.race_id = r.race_id ]} + FROM race r WITH INSERT UPDATE DELETE; + +-- Creation using GraphQL syntax +/* +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW race_dv AS + race @insert @update @delete + { + _id : race_id + name : name + laps : laps @noUpdate + date : race_date + podium : podium @noCheck + result : driver_race_map @insert @update @delete + [ + { + driverRaceMapId : driver_race_map_id + position : position + driver @noInsert @update @noDelete @unnest + { + driverId : driver_id + name : name + } + } + ] + }; +*/ + +-- Create driver view, DRIVER_DV +-- + +-- Creation using SQL syntax +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW driver_dv AS + SELECT JSON {'_id' : d.driver_id, + 'name' : d.name, + 'points' : d.points, + UNNEST + (SELECT JSON {'teamId' : t.team_id, + 'team' : t.name WITH NOCHECK} + FROM team t WITH NOINSERT NOUPDATE NODELETE + WHERE t.team_id = d.team_id), + 'race' : + [ SELECT JSON {'driverRaceMapId' : drm.driver_race_map_id, + UNNEST + (SELECT JSON {'raceId' : r.race_id, + 'name' : r.name} + FROM race r WITH NOINSERT NOUPDATE NODELETE + WHERE r.race_id = drm.race_id), + 'finalPosition' : drm.position} + FROM driver_race_map drm WITH INSERT UPDATE NODELETE + WHERE drm.driver_id = d.driver_id ]} + FROM driver d WITH INSERT UPDATE DELETE; + +-- Creation using GraphQL syntax +/* +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW driver_dv AS + driver @insert @update @delete + { + _id : driver_id + name : name + points : points + team @noInsert @noUpdate @noDelete @unnest + { + teamId : team_id + team : name @noCheck + } + race : driver_race_map @insert @update @noDelete + [ + { + driverRaceMapId : driver_race_map_id + race @noInsert @noUpdate @noDelete @unnest + { + raceId : race_id + name : name + } + finalPosition : position + } + ] + }; +*/ + +-- Create team view, TEAM_DV +-- + +-- Creation using SQL syntax +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW team_dv AS + SELECT JSON {'_id' : t.team_id, + 'name' : t.name, + 'points' : t.points, + 'driver' : + [ SELECT JSON {'driverId' : d.driver_id, + 'name' : d.name, + 'points' : d.points WITH NOCHECK} + FROM driver d WITH INSERT UPDATE + WHERE d.team_id = t.team_id ]} + FROM team t WITH INSERT UPDATE DELETE; + +-- Creation using GraphQL syntax +/* +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW team_dv AS + team @insert @update @delete + { + _id : team_id + name : name + points : points + driver : driver @insert @update + [ + { + driverId : driver_id + name : name + points : points @noCheck + } + ] + }; +*/ + + +-------------------------------------------------- +-- Step 2: List all documents in a duality view -- +-------------------------------------------------- + +SELECT json_serialize(data PRETTY) FROM driver_dv; +SELECT json_serialize(data PRETTY) FROM race_dv; +SELECT json_serialize(data PRETTY) FROM team_dv; + + +---------------------------------------- +-- Step 3: Populate the duality views -- +---------------------------------------- + +-- Insert a collection of team documents into TEAM_DV. +-- This automatically populates the driver and team table as well as the +-- driver collection. +-- +INSERT INTO team_dv VALUES ('{"_id" : 301, + "name" : "Red Bull", + "points" : 0, + "driver" : [ {"driverId" : 101, + "name" : "Max Verstappen", + "points" : 0}, + {"driverId" : 102, + "name" : "Sergio Perez", + "points" : 0} ]}'); + +INSERT INTO team_dv VALUES ('{"_id" : 302, + "name" : "Ferrari", + "points" : 0, + "driver" : [ {"driverId" : 103, + "name" : "Charles Leclerc", + "points" : 0}, + {"driverId" : 104, + "name" : "Carlos Sainz Jr", + "points" : 0} ]}'); + +INSERT INTO team_dv VALUES ('{"_id" : 2, + "name" : "Mercedes", + "points" : 0, + "driver" : [ {"driverId" : 105, + "name" : "George Russell", + "points" : 0}, + {"driverId" : 106, + "name" : "Lewis Hamilton", + "points" : 0} ]}'); + +-- Insert a collection of race documents into RACE_DV. +-- This automatically populates the race table. +-- +INSERT INTO race_dv VALUES ('{"_id" : 201, + "name" : "Bahrain Grand Prix", + "laps" : 57, + "date" : "2022-03-20T00:00:00", + "podium" : {}}'); + +INSERT INTO race_dv VALUES ('{"_id" : 202, + "name" : "Saudi Arabian Grand Prix", + "laps" : 50, + "date" : "2022-03-27T00:00:00", + "podium" : {}}'); + +INSERT INTO race_dv VALUES ('{"_id" : 203, + "name" : "Australian Grand Prix", + "laps" : 58, + "date" : "2022-04-09T00:00:00", + "podium" : {}}'); + +COMMIT; + + +---------------------------------------------------------- +-- Step 4: See the effects of populating a duality view -- +---------------------------------------------------------- + +-- Populating a duality view automatically updates data shown in related +-- duality views, by updating their underlying tables. For example, in the +-- previous step documents were inserted into the team_dv duality view. This +-- duality view joins the team table with the driver table, so on insert into +-- this duality view both the team table as well as the driver table are +-- populated. If you now list the contents of the driver_dv duality view, which +-- is based on the driver table, it has documents as well. +-- +SELECT json_serialize(data PRETTY) FROM driver_dv; +SELECT json_serialize(data PRETTY) FROM race_dv; + + +---------------------------------------------------------- +-- Step 5: Find documents matching a filter (predicate) -- +-- with optional projection of fields and sorting -- +---------------------------------------------------------- + +-- Find race info by _id. +-- You can use JSON functions, such as json_value or json_exists in predicates +-- when querying duality views. You can also use simplified dot notation in +-- predicates (see Step 9 for an example of this). The json_exists function is +-- more powerful than json_value in terms of the conditions it can express and +-- is used by the REST interface to translate QBEs. +-- +SELECT json_serialize(data PRETTY) + FROM race_dv WHERE json_value(data, '$._id.number()') = 201; + +-- Project specific document fields. +-- In SQL, specific documents fields can be requested using the KEEP operator +-- in json_transform (other fields will be excluded in returned document). +-- Alternatively, you can exclude specific fields from the returned documents +-- using the REMOVE operator in json_transform. +SELECT json_serialize(json_transform(data, KEEP '$.name', '$.team') PRETTY) + FROM driver_dv; + +-- Sort returned documents by field value. +-- Returned documents can be sorted, using simplified syntax or json_value. +SELECT json_serialize(json_transform(data, KEEP '$.name', '$.team') PRETTY) + FROM driver_dv ORDER BY json_value(data, '$.team'); + + +-------------------------------------- +-- Step 6: Replace a document by ID -- +-------------------------------------- + +-- Announce results for the Bahrain Grand Prix. +-- Note that the "etag" value supplied in the content is used for "out-of- +-- the-box" optimistic locking, to prevent the well-known "lost update" problem +-- that can occur with concurrent operations. During the replace by ID +-- operation, the database checks that the eTag provided in the replacement +-- document matches the latest eTag of the target duality view document. If the +-- eTags do not match, which can occur if another concurrent operation updated +-- the same document, an error is thrown. In case of such an error, you can +-- reread the updated value (including the updated eTag), and retry the replace +-- operation again, adjusting it (if desired) based on the updated value. +-- To see that a replace using an eTag that is not the most recent fails, run +-- the same command again. +-- +UPDATE race_dv dv + SET data = ('{_metadata : {"etag" : "2E8DC09543DD25DC7D588FB9734D962B"}, + "_id" : 201, + "name" : "Bahrain Grand Prix", + "laps" : 57, + "date" : "2022-03-20T00:00:00", + "podium" : + {"winner" : {"name" : "Charles Leclerc", + "time" : "01:37:33.584"}, + "firstRunnerUp" : {"name" : "Carlos Sainz Jr", + "time" : "01:37:39.182"}, + "secondRunnerUp" : {"name" : "Lewis Hamilton", + "time" : "01:37:43.259"}}, + "result" : [ {"driverRaceMapId" : 3, + "position" : 1, + "driverId" : 103, + "name" : "Charles Leclerc"}, + {"driverRaceMapId" : 4, + "position" : 2, + "driverId" : 104, + "name" : "Carlos Sainz Jr"}, + {"driverRaceMapId" : 9, + "position" : 3, + "driverId" : 106, + "name" : "Lewis Hamilton"}, + {"driverRaceMapId" : 10, + "position" : 4, + "driverId" : 105, + "name" : "George Russell"} ]}') + WHERE dv.data."_id" = 201; + +COMMIT; + +-- See the results for the Bahrain Grand Prix. +-- You can use a predicate on the primary key field to query by ID. +-- +SELECT json_serialize(data PRETTY) + FROM race_dv dv WHERE dv.data."_id" = 201; + + +------------------------------------------------------------------------------ +-- Step 7: Update specific fields in the document identified by a predicate -- +------------------------------------------------------------------------------ + +-- Update Bahrain GP name with sponsor information. +-- Here we use json_transform to update specific fields. An alternative +-- approach is to use json_mergepatch, which is standardized (RFC 7386), but is +-- limited to simple object field updates and cannot be used for updating +-- specific array elements. The json_transform function, however, can be used +-- to update specific array elements. Note that the "where" clause can have any +-- valid SQL expression, e.g. equality on primary key, some condition using +-- simplified syntax, or JSON function, such as json_value or json_exists. +-- +UPDATE race_dv dv + SET data = json_transform(data, SET '$.name' = 'Blue Air Bahrain Grand Prix') + WHERE dv.data.name LIKE 'Bahrain%'; + +COMMIT; + +SELECT json_serialize(data PRETTY) + FROM race_dv WHERE json_value(data, '$.name') LIKE 'Blue Air Bahrain%'; + +-- Update Bahrain GP name with sponsor information. +-- Here we use json_mergepatch instead of json_transform to perform the same +-- operation. We also use json_exists in the predicate. +-- +UPDATE race_dv dv + SET data = json_mergepatch(data, '{"name" : "Blue Air Bahrain Grand Prix"}') + WHERE dv.data.name LIKE 'Blue Air Bahrain%'; + +COMMIT; + +SELECT json_serialize(data PRETTY) + FROM race_dv WHERE json_value(data, '$.name') LIKE 'Blue Air Bahrain%'; + + +--------------------------------------------------------------- +-- Step 8: Re-parenting of sub-objects between two documents -- +--------------------------------------------------------------- + +-- Switch Charles Leclerc's and George Russell's teams. +-- This can be done by updating the Mercedes and Ferrari team_dvs. The +-- documents can be updated by simply sending the new list of drivers for both +-- documents in the input. + +-- First, show the team documents. +-- +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Mercedes%'; +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Ferrari%'; + +-- Then perform the updates. +-- +UPDATE team_dv dv + SET data = ('{_metadata : {"etag" : "855840B905C8CAFA99FB9CBF813992E5"}, + "_id" : 2, + "name" : "Mercedes", + "points" : 40, + "driver" : [ {"driverId" : 106, + "name" : "Lewis Hamilton", + "points" : 15}, + {"driverId" : 103, + "name" : "Charles Leclerc", + "points" : 25} ]}') + WHERE dv.data.name LIKE 'Mercedes%'; + +UPDATE team_dv dv + SET data = ('{_metadata : {"etag" : "DA69DD103E8BAE95A0C09811B7EC9628"}, + "_id" : 302, + "name" : "Ferrari", + "points" : 30, + "driver" : [ {"driverId" : 105, + "name" : "George Russell", + "points" : 12}, + {"driverId" : 104, + "name" : "Carlos Sainz Jr", + "points" : 18} ]}') + WHERE dv.data.name LIKE 'Ferrari%'; + +COMMIT; + +-- Then show the team documents after the updates: +-- +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Mercedes%'; + +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Ferrari%'; + +-- Then show the driver documents after the updates: +-- +SELECT json_serialize(data PRETTY) FROM driver_dv dv + WHERE dv.data.name LIKE 'Charles Leclerc%'; + +SELECT json_serialize(data PRETTY) FROM driver_dv dv + WHERE dv.data.name LIKE 'George Russell%'; + + +------------------------------------------- +-- Step 9: Update a non-updateable field -- +------------------------------------------- + +-- Update team for a driver through driver_dv. +-- This will throw an error. +-- +UPDATE driver_dv dv + SET DATA = ('{_metadata : {"etag" : "FCD4CEC63897F60DEA1EC2F64D3CE53A"}, + "_id" : 103, + "name" : "Charles Leclerc", + "points" : 25, + "teamId" : 2, + "team" : "Ferrari", + "race" : + [ + { + "driverRaceMapId" : 3, + "raceId" : 201, + "name" : "Blue Air Bahrain Grand Prix", + "finalPosition" : 1 + } + ] + }') + WHERE dv.data."_id" = 103; + + +---------------------------------- +-- Step 10: Delete by predicate -- +---------------------------------- + +-- Delete the race document for Bahrain GP. +-- The underlying rows are deleted from the race and driver_race_map +-- tables, but not from the driver table because it is marked read-only +-- in the view definition. Note that the "where" clause can have any +-- valid SQL expression, e.g. equality on primary key, some condition using +-- simplified syntax, or JSON function, such as json_value or json_exists. +-- +DELETE FROM race_dv dv WHERE dv.data."_id" = 201; + +SELECT json_serialize(data PRETTY) FROM race_dv; +SELECT json_serialize(data PRETTY) FROM driver_dv; + +COMMIT; diff --git a/json-relational-duality/DualityViewTutorial-OracleDatabaseAPIForMongoDB 23ai.txt b/json-relational-duality/DualityViewTutorial-OracleDatabaseAPIForMongoDB 23ai.txt new file mode 100644 index 00000000..26467b9a --- /dev/null +++ b/json-relational-duality/DualityViewTutorial-OracleDatabaseAPIForMongoDB 23ai.txt @@ -0,0 +1,966 @@ +Business / Technical Brief: Working with JSON-Relational Duality Views using Oracle Database API for MongoDB + +04/01/24, Version 1.2 +Copyright (c) 2024, Oracle and/or its affiliates + +Purpose statement +This document provides a tutorial on using Oracle Database API for MongoDB with Oracle Database 23ai Free feature JSON Relational Duality. + + +License + +/* +** Copyright (c) 2024 Oracle and/or its affiliates +** The Universal Permissive License (UPL), Version 1.0 +** +** Subject to the condition set forth below, permission is hereby granted to any +** person obtaining a copy of this software, associated documentation and/or data +** (collectively the "Software"), free of charge and under any and all copyright +** rights in the Software, and any and all patent rights owned or freely +** licensable by each licensor hereunder covering either (i) the unmodified +** Software as contributed to or provided by such licensor, or (ii) the Larger +** Works (as defined below), to deal in both +** +** (a) the Software, and +** (b) any piece of software and/or hardware listed in the lrgrwrks.txt file if +** one is included with the Software (each a "Larger Work" to which the Software +** is contributed by such licensors), +** +** without restriction, including without limitation the rights to copy, create +** derivative works of, display, perform, and distribute the Software and make, +** use, sell, offer for sale, import, export, have made, and have sold the +** Software and the Larger Work(s), and to sublicense the foregoing rights on +** either these or other terms. +** +** This license is subject to the following condition: +** The above copyright notice and either this complete permission notice or at +** a minimum a reference to the UPL must be included in all copies or +** substantial portions of the Software. +** +** THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +** IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +** FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +** AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +** LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +** OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +** SOFTWARE. +*/ + +Table of contents +Purpose statement +License +Prerequisites +Step 1: Create JSON-Relational Duality Views +Step 2: List all documents in a duality view 1 +Step 3: Populate duality views +Single document insert +Bulk insert +Step 4: See effects of populating a duality view +Step 5: Find documents matching a filter (with optional projection of document fields and sorting). +Step 6: Replace a document +Step 7: Update specific fields in the document +Step 8: Re-parenting of sub-objects between two documents +Step 9: Update a non-updateable field +Step 10: Delete documents +Conclusion +Appendix +Limitations +Alternative syntax for creating duality views + + +JSON-Relational Duality View is a revolutionary Oracle Database 23 feature that combines the benefits of relational databases and JSON NoSQL document stores. This feature allows you to store the data in relational tables, in a normalized way, and to expose it to applications as JSON documents. Multiple duality views can be created on the same relational data to address different use-cases. In other words, the same relational data can have different JSON representations. This is a major advantage compared to NoSQL document stores, which force you to pick one specific way to structure the JSON data. This also has major security benefits, as the end user or application can be given access only to those duality view(s) that expose relevant parts of the data. Also, through duality views, write access to specific parts of the data can be controlled (or completely disallowed). At the same time, traditional benefits of data normalization such as data integrity and minimization of redundancy are retained. It is also possible to run SQL on the underlying tables, for analytics or reporting. +For a complete introduction to duality views and their benefits see Overview of JSON-Relational Duality Views chapter in JSON-Relational Duality Developer's Guide. + +This tutorial walks you through examples of working with JSON-Relational duality views using Formula-1 car-racing season data. Specifically, it focuses on using the Oracle Database API for MongoDB to work with JSON-Relational duality views. Note that after duality views are created and exposed as collections, you work with such collections normally, as you would with regular collections (not based on duality views)1, while reaping all of the additional benefits of duality views. And of course, standard MongoDB drivers and tools can be used. This tutorial uses the Mongo shell, and shows a subset of the full breadth of operations possible, such as inserts, finds, updates, replaces, deletes, projections, and so on. + +A prerequisite for this tutorial is Introduction to Car-Racing Duality Views Example chapter, also in JSON-Relational Duality Developer's Guide. It describes the use-case and duality views you work with in this document. + +For more information on Oracle Database API for MongoDB, refer to Oracle Database API for MongoDB. Within that guide, Using the Mongo DB API with JSON-Relational Duality Views section is particularly relevant for this tutorial. + + +Prerequisites + + +1. Ensure that you have Oracle database 23ai installed and running on a port. Ensure that compatible parameter is set to 23.0.0.0. +2. Download and install the latest MongoDB shell (mongosh). +3. Download ORDS version 24.1 (or higher), and install it with Oracle API for MongoDB enabled, as described in Step 1 of the Getting Started (section 9.1) of Oracle API for MongoDB Support chapter in the ORDS documentation. +4. Create and configure a database user as described in Step 2 of the same Getting Started section. Also grant the user either the DB_DEVELOPER_ROLE or the RESOURCE role: + +grant db_developer_role to foo; + +or + +grant resource to foo; + +The step creates and configures schema foo. If you would like to choose a different schema to hold the tables, duality views, and collections used in this tutorial, configure it in the same way. + +5. Connect to Oracle API for MongoDB with mongosh, as described in Step 3 of the same Getting Started section. All steps below, beginning with "Step 2", use mongosh. + + +Step 1: Create JSON-Relational Duality Views + +Connect to the schema foo (or whatever schema you picked to host the tables, duality views, and collections) using SQLPlus, SQLcl, SQLDeveloper, or another tool. + +If you already have the team, driver, race, and driver_race_map tables and team_dv, driver_dv, race_dv duality views in this schema, first drop them as follows to start with a clean slate: + +drop view team_dv; +drop view race_dv; +drop view driver_dv; +drop table driver_race_map; +drop table race; +drop table driver; +drop table team; + +Create the team, driver, race, and driver_race_maps tables as follows: + +CREATE TABLE team + (team_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + points INTEGER NOT NULL, + CONSTRAINT team_pk PRIMARY KEY(team_id)); + +CREATE TABLE driver + (driver_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + points INTEGER NOT NULL, + team_id INTEGER, + CONSTRAINT driver_pk PRIMARY KEY(driver_id), + CONSTRAINT driver_fk FOREIGN KEY(team_id) REFERENCES team(team_id)); + +CREATE TABLE race + (race_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + laps INTEGER NOT NULL, + race_date DATE, + podium JSON, + CONSTRAINT race_pk PRIMARY KEY(race_id)); + +CREATE TABLE driver_race_map + (driver_race_map_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + race_id INTEGER NOT NULL, + driver_id INTEGER NOT NULL, + position INTEGER, + CONSTRAINT driver_race_map_pk PRIMARY KEY(driver_race_map_id), + CONSTRAINT driver_race_map_fk1 FOREIGN KEY(race_id) REFERENCES race(race_id), + CONSTRAINT driver_race_map_fk2 FOREIGN KEY(driver_id) REFERENCES driver(driver_id)); + +Create a trigger on the driver_race_map table to populate the POINTS column in team and driver tables based on race results: + +CREATE OR REPLACE TRIGGER driver_race_map_trigger + BEFORE INSERT ON driver_race_map + FOR EACH ROW + DECLARE + v_points INTEGER; + v_team_id INTEGER; +BEGIN + SELECT team_id INTO v_team_id FROM driver WHERE driver_id = :NEW.driver_id; + + IF :NEW.position = 1 THEN + v_points := 25; + ELSIF :NEW.position = 2 THEN + v_points := 18; + ELSIF :NEW.position = 3 THEN + v_points := 15; + ELSIF :NEW.position = 4 THEN + v_points := 12; + ELSIF :NEW.position = 5 THEN + v_points := 10; + ELSIF :NEW.position = 6 THEN + v_points := 8; + ELSIF :NEW.position = 7 THEN + v_points := 6; + ELSIF :NEW.position = 8 THEN + v_points := 4; + ELSIF :NEW.position = 9 THEN + v_points := 2; + ELSIF :NEW.position = 10 THEN + v_points := 1; + ELSE + v_points := 0; + END IF; + + UPDATE driver SET points = points + v_points + WHERE driver_id = :NEW.driver_id; + UPDATE team SET points = points + v_points + WHERE team_id = v_team_id; +END; +/ + + +Create the race_dv, driver_dv, and team_dv duality views: + +-- Create race view, RACE_DV +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW race_dv AS + SELECT JSON {'_id' IS r.race_id, + 'name' IS r.name, + 'laps' IS r.laps WITH NOUPDATE, + 'date' IS r.race_date, + 'podium' IS r.podium WITH NOCHECK, + 'result' IS + [ SELECT JSON {'driverRaceMapId' IS drm.driver_race_map_id, + 'position' IS drm.position, + UNNEST + (SELECT JSON {'driverId' IS d.driver_id, + 'name' IS d.name} + FROM driver d WITH NOINSERT UPDATE NODELETE + WHERE d.driver_id = drm.driver_id)} + FROM driver_race_map drm WITH INSERT UPDATE DELETE + WHERE drm.race_id = r.race_id ]} + FROM race r WITH INSERT UPDATE DELETE; + +-- Create driver view, DRIVER_DV +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW driver_dv AS + SELECT JSON {'_id' IS d.driver_id, + 'name' IS d.name, + 'points' IS d.points, + UNNEST + (SELECT JSON {'teamId' IS t.team_id, + 'team' IS t.name WITH NOCHECK} + FROM team t WITH NOINSERT NOUPDATE NODELETE + WHERE t.team_id = d.team_id), + 'race' IS + [ SELECT JSON {'driverRaceMapId' IS drm.driver_race_map_id, + UNNEST + (SELECT JSON {'raceId' IS r.race_id, + 'name' IS r.name} + FROM race r WITH NOINSERT NOUPDATE NODELETE + WHERE r.race_id = drm.race_id), + 'finalPosition' IS drm.position} + FROM driver_race_map drm WITH INSERT UPDATE NODELETE + WHERE drm.driver_id = d.driver_id ]} + FROM driver d WITH INSERT UPDATE DELETE; + + +-- Create team view, TEAM_DV +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW team_dv AS + SELECT JSON {'_id' IS t.team_id, + 'name' IS t.name, + 'points' IS t.points, + 'driver' IS + [ SELECT JSON {'driverId' IS d.driver_id, + 'name' IS d.name, + 'points' IS d.points WITH NOCHECK} + FROM driver d WITH INSERT UPDATE + WHERE d.team_id = t.team_id ]} + FROM team t WITH INSERT UPDATE DELETE; + +A duality view always has field _id as its document identifier. Its value specifies the document fields whose values are the primary-key columns of the root table that underlies the duality view. See Using the Mongo DB API with JSON-Relational Duality Views for more information on how the _id field should be specified in general, for views other than the ones listed in this tutorial. + + + +Step 2: List all documents in a duality view + +This step as well as subsequent steps in this tutorial will use the Mongo shell (mongosh). + +Use find() method to list all documents in the duality view. For example, to list all documents in the driver_dv duality view, execute: + +db.DRIVER_DV.find(); + +The command does not return any results since duality views (or, more precisely, their underlying tables) have not been populated with data. + + + +Step 3: Populate duality views + +Single document insert + +To insert a single document use insertOne() method with the JSON document content as the argument. Note that while the write operations in this tutorial are performed on duality views, the actual data is transparently written to the underlying tables (duality views themselves do not hold any data). + +To insert a JSON document for the Mercedes team into team_dv, execute: + +db.TEAM_DV.insertOne( +{ + "_id": 2, + "name": "Mercedes", + "points": 0, + "driver": [ + { + "driverId": 105, + "name": "George Russell", + "points": 0 + }, + { + "driverId": 106, + "name": "Lewis Hamilton", + "points": 0 + } + ] +} +); + +The command outputs the following: + +{ acknowledged: true, insertedId: 2 } + +When doing inserts into duality views, the value(s) provided for the fields must of course be insertable into the underlying columns, which means that their data types must be compatible with the column types. For example, if the duality view maps the field _id to a column of SQL type NUMBER, the _id value of a document you insert must be numeric or convertible to a numeric vlaue. Otherwise, an error is raised for the insertion attempt. + + +Bulk insert +You can also insert multiple documents into a duality view in one shot using insertMany(), with the array of documents as the argument. + +To insert JSON documents for Redbull and Ferrari teams into team_dv duality view, execute: + +db.TEAM_DV.insertMany( +[{ + "_id": 301, + "name": "Red Bull", + "points": 0, + "driver": [ + { + "driverId": 101, + "name": "Max Verstappen", + "points": 0 + }, + { + "driverId": 102, + "name": "Sergio Perez", + "points": 0 + } + ] +}, +{ + "_id": 302, + "name": "Ferrari", + "points": 0, + "driver": [ + { + "driverId": 103, + "name": "Charles Leclerc", + "points": 0 + }, + { + "driverId": 104, + "name": "Carlos Sainz Jr", + "points": 0 + } + ] +}]); + +insertMany() causes the array to be inserted as a set of documents, rather than as a single document. + +A successful insertMany() operation returns a response with the field acknowledged is set to true and the inserted IDs. + +{ acknowledged: true, insertedIds: { '0': 301, '1': 302 } } + +Duality view race_dv that contains information for each auto race is loaded similarly. +(Note that the podium info for each race is empty. It is populated by other operations later in this tutorial.) + +db.RACE_DV.insertMany([ +{ + "_id": 201, + "name": "Bahrain Grand Prix", + "laps": 57, + "date": "2022-03-20T00:00:00", + "podium": {} +}, +{ + "_id": 202, + "name": "Saudi Arabian Grand Prix", + "laps": 50, + "date": "2022-03-27T00:00:00", + "podium": {} +}, +{ + "_id": 203, + "name": "Australian Grand Prix", + "laps": 58, + "date": "2022-04-09T00:00:00", + "podium": {} +}]); + +The command outputs: + +{ acknowledged: true, insertedIds: { '0': 201, '1': 202, '2': 203 } } + +Similarly to the preceding step, if you list the contents of the driver_dv, it will additionally show two documents for Mercedes team drivers. + + + +Step 4: See effects of populating a duality view + +Populating a duality view automatically updates data shown in related duality views, by updating their underlying tables. For example, in the previous step documents were inserted into the team_dv duality view. This duality view joins the team table with the driver table, so on insert into this duality view both the team table as well as the driver table are populated. If you now list the contents of the driver_dv duality view, which is based on the driver table, it has documents as well. + +To list the contents of the driver_dv duality view run: + +db.DRIVER_DV.find(); + +The command outputs the following: + +[ + { + _id: 105, + name: 'George Russell', + points: 0, + teamId: 2, + team: 'Mercedes', + race: [], + _metadata: { + etag: Binary(Buffer.from("a8bb1825f6218ec0d300671173540597", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + { + _id: 106, + name: 'Lewis Hamilton', + points: 0, + teamId: 2, + team: 'Mercedes', + race: [], + _metadata: { + etag: Binary(Buffer.from("d3ff3213793e306204bb5e5060368e41", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + { + _id: 101, + name: 'Max Verstappen', + points: 0, + teamId: 301, + team: 'Red Bull', + race: [], + _metadata: { + etag: Binary(Buffer.from("f9d9815dff27879f61386cfd1622b065", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + { + _id: 102, + name: 'Sergio Perez', + points: 0, + teamId: 301, + team: 'Red Bull', + race: [], + _metadata: { + etag: Binary(Buffer.from("9865a29dee5f5754674a9b1d2ec58730", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + + { + _id: 103, + name: 'Charles Leclerc', + points: 0, + teamId: 302, + team: 'Ferrari', + race: [], + _metadata: { + etag: Binary(Buffer.from("c47a91f57bf3cf45f0d8284240399a90", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + { + _id: 104, + name: 'Carlos Sainz Jr', + points: 0, + teamId: 302, + team: 'Ferrari', + race: [], + _metadata: { + etag: Binary(Buffer.from("363ec6bbf0fadd913b219482959da39d", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + } +] + +Documents corresponding to six drivers now appear in the driver_dv duality view, as shown by the above output. For each document, the following fields are included in the result: + +Field Description +________________________________________________________________ +_id Document-identifier, aka _id. + +etag (under _metadata) Document eTag. Used for optimistic locking. Automatically computed by the duality view. + +asof (under _metadata) System change number (SCN) at the time of fetch. These values are replaced by "..." in the outputs shown in this tutorial, since they will be different depending on the DB instance/time of fetch. + +Note that the "race" field under each driver value is empty - this is because no information connecting the driver to the auto races they participated in has been entered so far. This information is added in later steps of this tutorial. + + + +Step 5: Find documents matching a filter (with optional projection of document fields and sorting). + +As usual, documents can be fetched by supplying a filter. Only documents matching the filter will be returned. + +For example, the following filter will match the document in race_dv that has the _id field set to 201: + +db.RACE_DV.find({_id:201}); + +The command outputs the following: + +[ + { + _id: 201, + name: 'Bahrain Grand Prix', + laps: 57, + date: ISODate("2022-03-20T00:00:00.000Z"), + podium: {}, + result: [], + _metadata: { + etag: Binary(Buffer.from("2e8dc09543dd25dc7d588fb9734d962b", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + } +] + +Note that the podium and result fields in the document are the empty object and the empty array, respectively. This is again because that information for the "Bahrain Grand Prix" has not been entered. In the next step, this information is added. + +Projections can be used to include specific fields or exclude specific fields in the returned documents. For example, to return only the "name" and "team" fields in the documents fetched from driver_dv, run: + +db.DRIVER_DV.find({}, {"name" : 1, "team" : 1}); + +The command outputs: + +[ + { _id: 105, name: 'George Russell', team: 'Mercedes' }, + { _id: 106, name: 'Lewis Hamilton', team: 'Mercedes' }, + { _id: 101, name: 'Max Verstappen', team: 'Red Bull' }, + { _id: 102, name: 'Sergio Perez', team: 'Red Bull' }, + { _id: 103, name: 'Charles Leclerc', team: 'Ferrari' }, + { _id: 104, name: 'Carlos Sainz Jr', team: 'Ferrari' } +] + +As usual, _id can be suppressed from the output by specifying "_id" : 0 as part of the projection: + +db.DRIVER_DV.find({}, {"_id" : 0, "name" : 1, "team" : 1}); + +Output is omitted for brevity. + + +Sorting of the returned documents can be requested. To add ascending sort on team field to the previous command, run: + +db.DRIVER_DV.find({}, {"_id" : 0, "name" : 1, "team" : 1}).sort({"team" : 1}); + +The command outputs: + +[ + { name: 'Charles Leclerc', team: 'Ferrari' }, + { name: 'Carlos Sainz Jr', team: 'Ferrari' }, + { name: 'George Russell', team: 'Mercedes' }, + { name: 'Lewis Hamilton', team: 'Mercedes' }, + { name: 'Max Verstappen', team: 'Red Bull' }, + { name: 'Sergio Perez', team: 'Red Bull' } +] + + + +Step 6: Replace a document + +To add results information for the "Bahrain Grand Prix" autorace found in the previous step, replace the document for this race with a new document containing results information. + +The "Bahrain Grand Prix" document is identified by the _id : 201, as highlighted in the result of the preceding step. +This replacement document has "podium" and "result" information. +To replace a specific target document, use replaceOne() method (see next page). + + +db.RACE_DV.replaceOne( +{_id:201}, +{ + "name": "Bahrain Grand Prix", + "laps": 57, + "date": "2022-03-20T00:00:00", + "podium": { + "winner": { + "name": "Charles Leclerc", + "time": "01:37:33.584" + }, + "firstRunnerUp": { + "name": "Carlos Sainz Jr", + "time": "01:37:39.182" + }, + "secondRunnerUp": { + "name": "Lewis Hamilton", + "time": "01:37:43.259" + } + }, + "result": [ + { + "driverRaceMapId": 3, + "position": 1, + "driverId": 103, + "name": "Charles Leclerc" + }, + { + "driverRaceMapId": 4, + "position": 2, + "driverId": 104, + "name": "Carlos Sainz Jr" + }, + { + "driverRaceMapId": 9, + "position": 3, + "driverId": 106, + "name": "Lewis Hamilton" + }, + + { + "driverRaceMapId": 10, + "position": 4, + "driverId": 105, + "name": "George Russell" + } + ], + "_metadata" : {"etag": Binary(Buffer.from("2e8dc09543dd25dc7d588fb9734d962b", "hex"), 0)} }) + +The command returns the following, indicating a successful replace: + +{ + acknowledged: true, + insertedId: null, + matchedCount: 1, + modifiedCount: 1, + upsertedCount: 0 +} + +Note that the "etag" value supplied in the content is used for "out of the box" optimistic locking, to prevent the well-known "lost update" problem that can occur with concurrent operations. During the replace by _id operation, the database checks that the eTag provided in the replacement document matches the latest eTag of the target duality view document. If the eTags do not match, which can occur if another concurrent operation updated the same document, an error is thrown. In case of such an error, you can reread the updated value (including the updated eTag), and retry the replace operation again, adjusting it (if desired) based on the updated value. + +To see that a replace using an eTag that is not the most recent fails, run the same command again. + +Because document content has an "etag" field value that has been obsoleted by the preceding successful replace, the command now returns MongoServerError with the details of the eTag mismatch: +MongoServerError: ORA-42699: Cannot update JSON Relational Duality View 'RACE_DV': The ETAG of document with ID 'FB03C2030200' in the database did not match the ETAG passed in. + +To fetch the document updated earlier in this step, execute another find(): + +db.RACE_DV.find({_id:201}); + +The command returns the updated content of this document, which includes "_id" and the updated "etag" (the eTag changed as part of the preceding replace): + + +[ + { + _id: 201, + name: 'Bahrain Grand Prix', + laps: 57, + date: ISODate("2022-03-20T00:00:00.000Z"), + podium: { + winner: { name: 'Charles Leclerc', time: '01:37:33.584' }, + firstRunnerUp: { name: 'Carlos Sainz Jr', time: '01:37:39.182' }, + secondRunnerUp: { name: 'Lewis Hamilton', time: '01:37:43.259' } + }, + result: [ + { + driverRaceMapId: 3, + position: 1, + driverId: 103, + name: 'Charles Leclerc' + }, + { + driverRaceMapId: 4, + position: 2, + driverId: 104, + name: 'Carlos Sainz Jr' + }, + { + driverRaceMapId: 9, + position: 3, + driverId: 106, + name: 'Lewis Hamilton' + }, + { + driverRaceMapId: 10, + position: 4, + driverId: 105, + name: 'George Russell' + } + ], + _metadata: { + etag: Binary(Buffer.from("20f7d9f0c69ac5f959dca819f9116848", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + } +] + + + +Step 7: Update specific fields in the document + +As usual, for updating specific document fields, use updateOne()/updateMany()method. Various update operators, such as $set, can be used. + +For example, to add sponsor information to the "Bahrain Grand Prix" race name, run: + +db.RACE_DV.updateOne({name : "Bahrain Grand Prix"},{$set : {name : "Blue Air Bahrain Grand Prix"}}); + +The command the following JSON, indicating that the update was successful: + +{ + acknowledged: true, + insertedId: null, + matchedCount: 1, + modifiedCount: 1, + upsertedCount: 0 +} + +Fetch the updated document by issuing: + +db.RACE_DV.find({_id:201}); + +Output is omitted for brevity, but command returns the updated content of this document (the "name" field is now set to "Blue Air Bahrain Grand Prix", and the "etag" field is updated). + + + +Step 8: Re-parenting of sub-objects between two documents + +Switching Charles Leclerc's and George Russell's teams can be done by replacing Mercedes and Ferrari documents of team_dv duality view, with new documents that contain the updated driver info. + +db.TEAM_DV.replaceOne( +{"name": "Mercedes"}, +{ + "name": "Mercedes", + "points": 40, + "driver": [ + { + "driverId": 106, + "name": "Lewis Hamilton", + "points": 15 + }, + { + "driverId": 103, + "name": "Charles Leclerc", + "points": 25 + } + ] +}); + +The operation returns the following JSON: + +{ + acknowledged: true, + insertedId: null, + matchedCount: 1, + modifiedCount: 1, + upsertedCount: 0 +} + +After this operation, Leclerc appears under Mercedes team and no longer appears under the Ferrari team. This can be verified by running: + +db.TEAM_DV.find({"name" : "Ferrari"}); + +Output of this command is omitted for brevity. + +Then the Ferrari team can be similarly updated: + +db.TEAM_DV.replaceOne( +{"name": "Ferrari"}, +{ + "name": "Ferrari", + "points": 30, + "driver": [ + { + "driverId": 105, + "name": "George Russell", + "points": 12 + }, + { + "driverId": 104, + "name": "Carlos Sainz Jr", + "points": 18 + } + ] +} +); + +The operation returns similar JSON as previous command. + +To show the Ferrari and Mercedes teams after the update, again execute: + +db.TEAM_DV.find({"name" : {"$in" : ["Mercedes", "Ferrari"]}}); + +The output shown on the next page confirms that George Russell has been moved to the Ferrari team, and Charles Leclerc has been moved to the Mercedes team. +[ + { + _id: 2, + name: 'Mercedes', + points: 40, + driver: [ + { driverId: 103, name: 'Charles Leclerc', points: 25 }, + { driverId: 106, name: 'Lewis Hamilton', points: 15 } + ], + _metadata: { + etag: Binary(Buffer.from("9e266cd7554a89663b73b9977b1f967c", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + { + _id: 302, + name: 'Ferrari', + points: 30, + driver: [ + { driverId: 104, name: 'Carlos Sainz Jr', points: 18 }, + { driverId: 105, name: 'George Russell', points: 12 } + ], + _metadata: { + etag: Binary(Buffer.from("dd9401d853765859714a6b8176bfc564", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + } +] + +The drivers duality view has been updated as well. This can be verified by running the following filter: + +db.DRIVER_DV.find({"$or" : [{"name" : "George Russell"}, {"name" : "Charles Leclerc"}]}); + +The command outputs: + + +[ + { + _id: 105, + name: 'George Russell', + points: 12, + teamId: 302, + team: 'Ferrari', + race: [ + { + driverRaceMapId: 10, + raceId: 201, + name: 'Blue Air Bahrain Grand Prix', + finalPosition: 4 + } + ], + _metadata: { + etag: Binary(Buffer.from("1425b4fa21b8dfff88bbc476e10f377d", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + }, + { + _id: 103, + name: 'Charles Leclerc', + points: 25, + teamId: 2, + team: 'Mercedes', + race: [ + { + driverRaceMapId: 3, + raceId: 201, + name: 'Blue Air Bahrain Grand Prix', + finalPosition: 1 + } + ], + _metadata: { + etag: Binary(Buffer.from("fcd4cec63897f60dea1ec2f64d3ce53a", "hex"), 0), + asof: Binary(Buffer.from("...", "hex"), 0) + } + } +] + +Charles Leclerc now has "Mercedes" as the team, and "George Russell" has "Ferrari" as the team. + + + +Step 9: Update a non-updateable field + +From the previous command, the _id of Charles Leclerc in driver_dv duality view is 103. The "team" field in the driver_dv duality view is non-updateable because it maps to a column in the team table, which is marked with NOUPDATE annotation. + +This update operation will try to set the team of Leclerc back to Ferrari, using the driver_dv duality view. You can attempt to run the update as follows: + +db.DRIVER_DV.updateOne({"_id" : 103} , {$set : {"team" : "Ferrari"}}); + +Because the team is not updateable through the driver_dv view, the command outputs: + +MongoServerError: ORA-40940: Cannot update field 'team' corresponding to column 'NAME' of table 'TEAM' in JSON Relational Duality View 'DRIVER_DV': Missing UPDATE annotation or NOUPDATE annotation specified. + +This shows that while the team of the driver can be updated using the team_dv duality view, as described in the preceding step, it cannot be updated through the driver_dv duality view. This illustrates how the same underlying relational data can be made updateable or non-updateable, as needed for the different use-cases, by creating different duality views. + + + +Step 10: Delete documents + +As usual, you can also delete documents matching a filter, using deleteOne and deleteMany. + +For example, to delete a race document with _id 202, run: + +db.RACE_DV.deleteOne({_id:202}); + +The command outputs the following, indicating a successful delete. The output shows the number of items deleted (1 in this case. In general can be any number between 0 and the total number of documents in the collection, depending on how many documents match the filter). + +{"count":1,"itemsDeleted":1} + + + +Conclusion + +This tutorial introduced you to using Oracle Database API for MongoDB to work with collections back by JSON-Relational duality views. The following operations were covered: +* Inserting documents +* Listing all documents +* Finding documents with filters +* Projecting document fields +* Sorting documents +* Replacing a document with optional eTag checking (via eTag supplied in the replacement content) +* Updating specific document fields +* Deleting documents +For more information on JSON-Relational duality views, see JSON-Relational Duality Developer's Guide. For more information on Oracle Database API for MongoDB, see Oracle Database API for MongoDB +Also, see a complementary "Working with JSON Relational Duality Views using SQL tutorial". It has steps analogous to the steps in this tutorial, but it is using SQL instead of Oracle Database API for MongoDB. +. + + + +Appendix + +Limitations +Duality view support with Oracle Database API for MongoDB has the following limitations (in addition to the Oracle Database API for MongoDB general limitations): +* upsert option (in update and findAndModify operations) is not supported +* arrayFilters option (in update and findAndModify operations) is not supported + + +Alternative syntax for creating duality views +The SQL below shows creating duality views using an alternative syntax based on GraphQL. This syntax is currently only supported in SQLPlus (not in other tools such as SQLcl, SQLDeveloper, etc). + +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW race_dv AS + race @insert @update @delete + { + _id : race_id + name : name + laps : laps @noUpdate + date : race_date + podium : podium @noCheck + result : driver_race_map @insert @update @delete + [ + { + driverRaceMapId : driver_race_map_id + position : position + driver @noInsert @update @noDelete @unnest + { + driverId : driver_id + name : name + } + } + ] + }; + +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW driver_dv AS + driver @insert @update @delete + { + _id : driver_id + name : name + points : points + team @noInsert @noUpdate @noDelete @unnest + { + teamId : team_id + team : name @noCheck + } + race : driver_race_map @insert @update @noDelete + [ + { + driverRaceMapId : driver_race_map_id + race @noInsert @noUpdate @noDelete @unnest + { + raceId : race_id + name : name + } + finalPosition : position + }]}; + +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW team_dv AS + team @insert @update @delete + { + _id : team_id + name : name + points : points + driver : driver @insert @update + [ + { + driverId : driver_id + name : name + points : points @noCheck + } + ] + }; + From 9dcdddf6ca92bcc2639b425fb9ad4685ba9e458e Mon Sep 17 00:00:00 2001 From: RanjanHub <129405650+RanjanHub@users.noreply.github.com> Date: Tue, 18 Jun 2024 00:25:13 -0700 Subject: [PATCH 3/3] Add files via upload --- ...DualityViewTutorial using SQL 23ai copy.md | 636 ++++++++++++++++++ 1 file changed, 636 insertions(+) create mode 100644 json-relational-duality/DualityViewTutorial using SQL 23ai copy.md diff --git a/json-relational-duality/DualityViewTutorial using SQL 23ai copy.md b/json-relational-duality/DualityViewTutorial using SQL 23ai copy.md new file mode 100644 index 00000000..76a02e0c --- /dev/null +++ b/json-relational-duality/DualityViewTutorial using SQL 23ai copy.md @@ -0,0 +1,636 @@ +/* +** Copyright (c) 2023, 2024 Oracle and/or its affiliates +** The Universal Permissive License (UPL), Version 1.0 +** +** Subject to the condition set forth below, permission is hereby granted to any +** person obtaining a copy of this software, associated documentation and/or data +** (collectively the "Software"), free of charge and under any and all copyright +** rights in the Software, and any and all patent rights owned or freely +** licensable by each licensor hereunder covering either (i) the unmodified +** Software as contributed to or provided by such licensor, or (ii) the Larger +** Works (as defined below), to deal in both +** +** (a) the Software, and +** (b) any piece of software and/or hardware listed in the lrgrwrks.txt file if +** one is included with the Software (each a "Larger Work" to which the Software +** is contributed by such licensors), +** +** without restriction, including without limitation the rights to copy, create +** derivative works of, display, perform, and distribute the Software and make, +** use, sell, offer for sale, import, export, have made, and have sold the +** Software and the Larger Work(s), and to sublicense the foregoing rights on +** either these or other terms. +** +** This license is subject to the following condition: +** The above copyright notice and either this complete permission notice or at +** a minimum a reference to the UPL must be included in all copies or +** substantial portions of the Software. +** +** THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +** IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +** FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +** AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +** LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +** OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +** SOFTWARE. +*/ + +-- TITLE +-- Working with JSON Relational Duality Views using SQL. +-- +-- DESCRIPTION +-- This tutorial script walks you through examples of working with +-- JSON Relational Duality Views using Formula-1 (auto-racing) season data +-- through SQL. +-- +-- PREREQUISITES +-- Ensure that you have Oracle database 23c installed and running on a +-- port. Ensure that the compatible parameter is set to 23.0.0.0. +-- +-- USAGE +-- Connect to the database as a regular (non-SYS) user and run this +-- script. The user must have create session and resource privileges. +-- A demo user (janus) can be created using this statement: +-- GRANT CTXAPP, CONNECT, RESOURCE, UNLIMITED TABLESPACE, CREATE ANY +-- DIRECTORY, DROP ANY DIRECTORY, DBA TO janus IDENTIFIED BY janus; +-- +-- NOTES +-- Oracle Database 23c Free - Developer Release is the first release of +-- the next-generation Oracle Database, allowing developers a head-start +-- on building applications with innovative 23c features that simplify +-- development of modern data-driven apps. The entire feature set of +-- Oracle Database 23c is planned to be generally available within the +-- next 12 months. +-- +-- Please go through the duality view documentation +-- (https://docs.oracle.com/en/database/oracle/oracle-database/23/jsnvu/index.html) +-- to learn more about duality views and their advantages. +-- This tutorial is analogous to the REST (Working with JSON Relational +-- Duality Views using REST) and MongoAPI (Working with JSON Relational +-- Duality Views using Oracle Database API for MongoDB) tutorials. +-- Additional resources: +-- Duality Views blog (posted October 2022): https://blogs.oracle.com/database/post/json-relational-duality-app-dev?source=:so:ch:or:awr::::OCW23cbeta +-- Oracle CloudWorld 2022 keynote - https://www.youtube.com/watch?v=e8-jBkO1NqY&t=17s + +SET ECHO ON +SET FEEDBACK 1 +SET NUMWIDTH 10 +SET LINESIZE 80 +SET TRIMSPOOL ON +SET TAB OFF +SET PAGESIZE 100 +SET LONG 20000 + +prompt +prompt ** Working with JSON Relational Duality Views using SQL ** +prompt + +-- Do cleanup for previous run (if any). +-- +drop view if exists team_dv; +drop view if exists race_dv; +drop view if exists driver_dv; +drop table if exists driver_race_map; +drop table if exists race; +drop table if exists driver; +drop table if exists team; + + +-------------------------------------------------- +-- Step 1: Create JSON Relational Duality Views -- +-------------------------------------------------- + +-- Create base tables for the duality views. +-- +CREATE TABLE team + (team_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + points INTEGER NOT NULL, + CONSTRAINT team_pk PRIMARY KEY(team_id)); + +CREATE TABLE driver + (driver_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + points INTEGER NOT NULL, + team_id INTEGER, + CONSTRAINT driver_pk PRIMARY KEY(driver_id), + CONSTRAINT driver_fk FOREIGN KEY(team_id) REFERENCES team(team_id)); + +CREATE INDEX driver_fk_idx ON driver (team_id); + +CREATE TABLE race + (race_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + name VARCHAR2(255) NOT NULL UNIQUE, + laps INTEGER NOT NULL, + race_date DATE, + podium JSON, + CONSTRAINT race_pk PRIMARY KEY(race_id)); + +CREATE TABLE driver_race_map + (driver_race_map_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY, + race_id INTEGER NOT NULL, + driver_id INTEGER NOT NULL, + position INTEGER, + CONSTRAINT driver_race_map_uk UNIQUE (race_id, driver_id), + CONSTRAINT driver_race_map_pk PRIMARY KEY(driver_race_map_id), + CONSTRAINT driver_race_map_fk1 FOREIGN KEY(race_id) REFERENCES race(race_id), + CONSTRAINT driver_race_map_fk2 FOREIGN KEY(driver_id) REFERENCES driver(driver_id)); + +CREATE INDEX driver_race_map_fk1_idx ON driver_race_map (race_id); +CREATE INDEX driver_race_map_fk2_idx ON driver_race_map (driver_id); + +-- Create a trigger on the driver_race_map table to populate +-- the points fields in team and driver based on race results. +-- +CREATE OR REPLACE TRIGGER driver_race_map_trigger + BEFORE INSERT ON driver_race_map + FOR EACH ROW + DECLARE + v_points INTEGER; + v_team_id INTEGER; +BEGIN + SELECT team_id INTO v_team_id FROM driver WHERE driver_id = :NEW.driver_id; + + IF :NEW.position = 1 THEN + v_points := 25; + ELSIF :NEW.position = 2 THEN + v_points := 18; + ELSIF :NEW.position = 3 THEN + v_points := 15; + ELSIF :NEW.position = 4 THEN + v_points := 12; + ELSIF :NEW.position = 5 THEN + v_points := 10; + ELSIF :NEW.position = 6 THEN + v_points := 8; + ELSIF :NEW.position = 7 THEN + v_points := 6; + ELSIF :NEW.position = 8 THEN + v_points := 4; + ELSIF :NEW.position = 9 THEN + v_points := 2; + ELSIF :NEW.position = 10 THEN + v_points := 1; + ELSE + v_points := 0; + END IF; + + UPDATE driver SET points = points + v_points + WHERE driver_id = :NEW.driver_id; + UPDATE team SET points = points + v_points + WHERE team_id = v_team_id; +END; +/ + +-- Create race view, RACE_DV +-- + +-- Creation using SQL syntax +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW race_dv AS + SELECT JSON {'_id' : r.race_id, + 'name' : r.name, + 'laps' : r.laps WITH NOUPDATE, + 'date' : r.race_date, + 'podium' : r.podium WITH NOCHECK, + 'result' : + [ SELECT JSON {'driverRaceMapId' : drm.driver_race_map_id, + 'position' : drm.position, + UNNEST + (SELECT JSON {'driverId' : d.driver_id, + 'name' : d.name} + FROM driver d WITH NOINSERT UPDATE NODELETE + WHERE d.driver_id = drm.driver_id)} + FROM driver_race_map drm WITH INSERT UPDATE DELETE + WHERE drm.race_id = r.race_id ]} + FROM race r WITH INSERT UPDATE DELETE; + +-- Creation using GraphQL syntax +/* +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW race_dv AS + race @insert @update @delete + { + _id : race_id + name : name + laps : laps @noUpdate + date : race_date + podium : podium @noCheck + result : driver_race_map @insert @update @delete + [ + { + driverRaceMapId : driver_race_map_id + position : position + driver @noInsert @update @noDelete @unnest + { + driverId : driver_id + name : name + } + } + ] + }; +*/ + +-- Create driver view, DRIVER_DV +-- + +-- Creation using SQL syntax +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW driver_dv AS + SELECT JSON {'_id' : d.driver_id, + 'name' : d.name, + 'points' : d.points, + UNNEST + (SELECT JSON {'teamId' : t.team_id, + 'team' : t.name WITH NOCHECK} + FROM team t WITH NOINSERT NOUPDATE NODELETE + WHERE t.team_id = d.team_id), + 'race' : + [ SELECT JSON {'driverRaceMapId' : drm.driver_race_map_id, + UNNEST + (SELECT JSON {'raceId' : r.race_id, + 'name' : r.name} + FROM race r WITH NOINSERT NOUPDATE NODELETE + WHERE r.race_id = drm.race_id), + 'finalPosition' : drm.position} + FROM driver_race_map drm WITH INSERT UPDATE NODELETE + WHERE drm.driver_id = d.driver_id ]} + FROM driver d WITH INSERT UPDATE DELETE; + +-- Creation using GraphQL syntax +/* +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW driver_dv AS + driver @insert @update @delete + { + _id : driver_id + name : name + points : points + team @noInsert @noUpdate @noDelete @unnest + { + teamId : team_id + team : name @noCheck + } + race : driver_race_map @insert @update @noDelete + [ + { + driverRaceMapId : driver_race_map_id + race @noInsert @noUpdate @noDelete @unnest + { + raceId : race_id + name : name + } + finalPosition : position + } + ] + }; +*/ + +-- Create team view, TEAM_DV +-- + +-- Creation using SQL syntax +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW team_dv AS + SELECT JSON {'_id' : t.team_id, + 'name' : t.name, + 'points' : t.points, + 'driver' : + [ SELECT JSON {'driverId' : d.driver_id, + 'name' : d.name, + 'points' : d.points WITH NOCHECK} + FROM driver d WITH INSERT UPDATE + WHERE d.team_id = t.team_id ]} + FROM team t WITH INSERT UPDATE DELETE; + +-- Creation using GraphQL syntax +/* +CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW team_dv AS + team @insert @update @delete + { + _id : team_id + name : name + points : points + driver : driver @insert @update + [ + { + driverId : driver_id + name : name + points : points @noCheck + } + ] + }; +*/ + + +-------------------------------------------------- +-- Step 2: List all documents in a duality view -- +-------------------------------------------------- + +SELECT json_serialize(data PRETTY) FROM driver_dv; +SELECT json_serialize(data PRETTY) FROM race_dv; +SELECT json_serialize(data PRETTY) FROM team_dv; + + +---------------------------------------- +-- Step 3: Populate the duality views -- +---------------------------------------- + +-- Insert a collection of team documents into TEAM_DV. +-- This automatically populates the driver and team table as well as the +-- driver collection. +-- +INSERT INTO team_dv VALUES ('{"_id" : 301, + "name" : "Red Bull", + "points" : 0, + "driver" : [ {"driverId" : 101, + "name" : "Max Verstappen", + "points" : 0}, + {"driverId" : 102, + "name" : "Sergio Perez", + "points" : 0} ]}'); + +INSERT INTO team_dv VALUES ('{"_id" : 302, + "name" : "Ferrari", + "points" : 0, + "driver" : [ {"driverId" : 103, + "name" : "Charles Leclerc", + "points" : 0}, + {"driverId" : 104, + "name" : "Carlos Sainz Jr", + "points" : 0} ]}'); + +INSERT INTO team_dv VALUES ('{"_id" : 2, + "name" : "Mercedes", + "points" : 0, + "driver" : [ {"driverId" : 105, + "name" : "George Russell", + "points" : 0}, + {"driverId" : 106, + "name" : "Lewis Hamilton", + "points" : 0} ]}'); + +-- Insert a collection of race documents into RACE_DV. +-- This automatically populates the race table. +-- +INSERT INTO race_dv VALUES ('{"_id" : 201, + "name" : "Bahrain Grand Prix", + "laps" : 57, + "date" : "2022-03-20T00:00:00", + "podium" : {}}'); + +INSERT INTO race_dv VALUES ('{"_id" : 202, + "name" : "Saudi Arabian Grand Prix", + "laps" : 50, + "date" : "2022-03-27T00:00:00", + "podium" : {}}'); + +INSERT INTO race_dv VALUES ('{"_id" : 203, + "name" : "Australian Grand Prix", + "laps" : 58, + "date" : "2022-04-09T00:00:00", + "podium" : {}}'); + +COMMIT; + + +---------------------------------------------------------- +-- Step 4: See the effects of populating a duality view -- +---------------------------------------------------------- + +-- Populating a duality view automatically updates data shown in related +-- duality views, by updating their underlying tables. For example, in the +-- previous step documents were inserted into the team_dv duality view. This +-- duality view joins the team table with the driver table, so on insert into +-- this duality view both the team table as well as the driver table are +-- populated. If you now list the contents of the driver_dv duality view, which +-- is based on the driver table, it has documents as well. +-- +SELECT json_serialize(data PRETTY) FROM driver_dv; +SELECT json_serialize(data PRETTY) FROM race_dv; + + +---------------------------------------------------------- +-- Step 5: Find documents matching a filter (predicate) -- +-- with optional projection of fields and sorting -- +---------------------------------------------------------- + +-- Find race info by _id. +-- You can use JSON functions, such as json_value or json_exists in predicates +-- when querying duality views. You can also use simplified dot notation in +-- predicates (see Step 9 for an example of this). The json_exists function is +-- more powerful than json_value in terms of the conditions it can express and +-- is used by the REST interface to translate QBEs. +-- +SELECT json_serialize(data PRETTY) + FROM race_dv WHERE json_value(data, '$._id.number()') = 201; + +-- Project specific document fields. +-- In SQL, specific documents fields can be requested using the KEEP operator +-- in json_transform (other fields will be excluded in returned document). +-- Alternatively, you can exclude specific fields from the returned documents +-- using the REMOVE operator in json_transform. +SELECT json_serialize(json_transform(data, KEEP '$.name', '$.team') PRETTY) + FROM driver_dv; + +-- Sort returned documents by field value. +-- Returned documents can be sorted, using simplified syntax or json_value. +SELECT json_serialize(json_transform(data, KEEP '$.name', '$.team') PRETTY) + FROM driver_dv ORDER BY json_value(data, '$.team'); + + +-------------------------------------- +-- Step 6: Replace a document by ID -- +-------------------------------------- + +-- Announce results for the Bahrain Grand Prix. +-- Note that the "etag" value supplied in the content is used for "out-of- +-- the-box" optimistic locking, to prevent the well-known "lost update" problem +-- that can occur with concurrent operations. During the replace by ID +-- operation, the database checks that the eTag provided in the replacement +-- document matches the latest eTag of the target duality view document. If the +-- eTags do not match, which can occur if another concurrent operation updated +-- the same document, an error is thrown. In case of such an error, you can +-- reread the updated value (including the updated eTag), and retry the replace +-- operation again, adjusting it (if desired) based on the updated value. +-- To see that a replace using an eTag that is not the most recent fails, run +-- the same command again. +-- +UPDATE race_dv dv + SET data = ('{_metadata : {"etag" : "2E8DC09543DD25DC7D588FB9734D962B"}, + "_id" : 201, + "name" : "Bahrain Grand Prix", + "laps" : 57, + "date" : "2022-03-20T00:00:00", + "podium" : + {"winner" : {"name" : "Charles Leclerc", + "time" : "01:37:33.584"}, + "firstRunnerUp" : {"name" : "Carlos Sainz Jr", + "time" : "01:37:39.182"}, + "secondRunnerUp" : {"name" : "Lewis Hamilton", + "time" : "01:37:43.259"}}, + "result" : [ {"driverRaceMapId" : 3, + "position" : 1, + "driverId" : 103, + "name" : "Charles Leclerc"}, + {"driverRaceMapId" : 4, + "position" : 2, + "driverId" : 104, + "name" : "Carlos Sainz Jr"}, + {"driverRaceMapId" : 9, + "position" : 3, + "driverId" : 106, + "name" : "Lewis Hamilton"}, + {"driverRaceMapId" : 10, + "position" : 4, + "driverId" : 105, + "name" : "George Russell"} ]}') + WHERE dv.data."_id" = 201; + +COMMIT; + +-- See the results for the Bahrain Grand Prix. +-- You can use a predicate on the primary key field to query by ID. +-- +SELECT json_serialize(data PRETTY) + FROM race_dv dv WHERE dv.data."_id" = 201; + + +------------------------------------------------------------------------------ +-- Step 7: Update specific fields in the document identified by a predicate -- +------------------------------------------------------------------------------ + +-- Update Bahrain GP name with sponsor information. +-- Here we use json_transform to update specific fields. An alternative +-- approach is to use json_mergepatch, which is standardized (RFC 7386), but is +-- limited to simple object field updates and cannot be used for updating +-- specific array elements. The json_transform function, however, can be used +-- to update specific array elements. Note that the "where" clause can have any +-- valid SQL expression, e.g. equality on primary key, some condition using +-- simplified syntax, or JSON function, such as json_value or json_exists. +-- +UPDATE race_dv dv + SET data = json_transform(data, SET '$.name' = 'Blue Air Bahrain Grand Prix') + WHERE dv.data.name LIKE 'Bahrain%'; + +COMMIT; + +SELECT json_serialize(data PRETTY) + FROM race_dv WHERE json_value(data, '$.name') LIKE 'Blue Air Bahrain%'; + +-- Update Bahrain GP name with sponsor information. +-- Here we use json_mergepatch instead of json_transform to perform the same +-- operation. We also use json_exists in the predicate. +-- +UPDATE race_dv dv + SET data = json_mergepatch(data, '{"name" : "Blue Air Bahrain Grand Prix"}') + WHERE dv.data.name LIKE 'Blue Air Bahrain%'; + +COMMIT; + +SELECT json_serialize(data PRETTY) + FROM race_dv WHERE json_value(data, '$.name') LIKE 'Blue Air Bahrain%'; + + +--------------------------------------------------------------- +-- Step 8: Re-parenting of sub-objects between two documents -- +--------------------------------------------------------------- + +-- Switch Charles Leclerc's and George Russell's teams. +-- This can be done by updating the Mercedes and Ferrari team_dvs. The +-- documents can be updated by simply sending the new list of drivers for both +-- documents in the input. + +-- First, show the team documents. +-- +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Mercedes%'; +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Ferrari%'; + +-- Then perform the updates. +-- +UPDATE team_dv dv + SET data = ('{_metadata : {"etag" : "855840B905C8CAFA99FB9CBF813992E5"}, + "_id" : 2, + "name" : "Mercedes", + "points" : 40, + "driver" : [ {"driverId" : 106, + "name" : "Lewis Hamilton", + "points" : 15}, + {"driverId" : 103, + "name" : "Charles Leclerc", + "points" : 25} ]}') + WHERE dv.data.name LIKE 'Mercedes%'; + +UPDATE team_dv dv + SET data = ('{_metadata : {"etag" : "DA69DD103E8BAE95A0C09811B7EC9628"}, + "_id" : 302, + "name" : "Ferrari", + "points" : 30, + "driver" : [ {"driverId" : 105, + "name" : "George Russell", + "points" : 12}, + {"driverId" : 104, + "name" : "Carlos Sainz Jr", + "points" : 18} ]}') + WHERE dv.data.name LIKE 'Ferrari%'; + +COMMIT; + +-- Then show the team documents after the updates: +-- +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Mercedes%'; + +SELECT json_serialize(data PRETTY) FROM team_dv dv + WHERE dv.data.name LIKE 'Ferrari%'; + +-- Then show the driver documents after the updates: +-- +SELECT json_serialize(data PRETTY) FROM driver_dv dv + WHERE dv.data.name LIKE 'Charles Leclerc%'; + +SELECT json_serialize(data PRETTY) FROM driver_dv dv + WHERE dv.data.name LIKE 'George Russell%'; + + +------------------------------------------- +-- Step 9: Update a non-updateable field -- +------------------------------------------- + +-- Update team for a driver through driver_dv. +-- This will throw an error. +-- +UPDATE driver_dv dv + SET DATA = ('{_metadata : {"etag" : "FCD4CEC63897F60DEA1EC2F64D3CE53A"}, + "_id" : 103, + "name" : "Charles Leclerc", + "points" : 25, + "teamId" : 2, + "team" : "Ferrari", + "race" : + [ + { + "driverRaceMapId" : 3, + "raceId" : 201, + "name" : "Blue Air Bahrain Grand Prix", + "finalPosition" : 1 + } + ] + }') + WHERE dv.data."_id" = 103; + + +---------------------------------- +-- Step 10: Delete by predicate -- +---------------------------------- + +-- Delete the race document for Bahrain GP. +-- The underlying rows are deleted from the race and driver_race_map +-- tables, but not from the driver table because it is marked read-only +-- in the view definition. Note that the "where" clause can have any +-- valid SQL expression, e.g. equality on primary key, some condition using +-- simplified syntax, or JSON function, such as json_value or json_exists. +-- +DELETE FROM race_dv dv WHERE dv.data."_id" = 201; + +SELECT json_serialize(data PRETTY) FROM race_dv; +SELECT json_serialize(data PRETTY) FROM driver_dv; + +COMMIT;

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