| /* |
| * Copyright (C) 2012-2015 DataStax Inc. |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package com.datastax.driver.examples.json; |
| |
| import com.datastax.driver.core.*; |
| import com.datastax.driver.extras.codecs.json.Jsr353JsonCodec; |
| |
| import javax.json.Json; |
| import javax.json.JsonObject; |
| import javax.json.JsonStructure; |
| |
| import static com.datastax.driver.core.querybuilder.QueryBuilder.*; |
| |
| /** |
| * Illustrates how to map a single table column of an arbitrary type |
| * to a Java object using |
| * the <a href="https://jcp.org/en/jsr/detail?id=353">Java API for JSON processing</a>, |
| * and leveraging the {@code toJson()} and {@code fromJson()} functions |
| * introduced in Cassandra 2.2. |
| * <p/> |
| * This example makes usage of a custom {@link TypeCodec codec}, |
| * {@link Jsr353JsonCodec}, which is declared in the driver-extras module. |
| * If you plan to follow this example, make sure to include the following |
| * Maven dependencies in your project: |
| * <pre>{@code |
| * <dependency> |
| * <groupId>com.datastax.cassandra</groupId> |
| * <artifactId>cassandra-driver-extras</artifactId> |
| * <version>${driver.version}</version> |
| * </dependency> |
| * |
| * <dependency> |
| * <groupId>javax.json</groupId> |
| * <artifactId>javax.json-api</artifactId> |
| * <version>${jsr353-api.version}</version> |
| * </dependency> |
| * |
| * <dependency> |
| * <groupId>org.glassfish</groupId> |
| * <artifactId>javax.json</artifactId> |
| * <version>${jsr353-ri.version}</version> |
| * <scope>runtime</scope> |
| * </dependency> |
| * }</pre> |
| * This example also uses the {@link com.datastax.driver.core.querybuilder.QueryBuilder QueryBuilder}; |
| * for examples using the "core" API, see {@link PlainTextJson} (they are easily translatable to the |
| * queries in this class). |
| * <p/> |
| * Preconditions: |
| * - a Cassandra cluster is running and accessible through the contacts points identified by CONTACT_POINTS and PORT; |
| * <p/> |
| * Side effects: |
| * - creates a new keyspace "examples" in the cluster. If a keyspace with this name already exists, it will be reused; |
| * - creates a user-defined type (UDT) "examples.json_jsr353_function_user". If it already exists, it will be reused; |
| * - creates a table "examples.json_jsr353_function". If it already exists, it will be reused; |
| * - inserts data in the table. |
| * |
| * @see <a href="http://www.datastax.com/dev/blog/whats-new-in-cassandra-2-2-json-support">What’s New in Cassandra 2.2: JSON Support</a> |
| */ |
| public class Jsr353JsonFunction { |
| |
| static String[] CONTACT_POINTS = {"127.0.0.1"}; |
| static int PORT = 9042; |
| |
| public static void main(String[] args) { |
| Cluster cluster = null; |
| try { |
| |
| // A codec to convert JSON payloads into JsonObject instances; |
| // this codec is declared in the driver-extras module |
| Jsr353JsonCodec userCodec = new Jsr353JsonCodec(); |
| |
| cluster = Cluster.builder() |
| .addContactPoints(CONTACT_POINTS).withPort(PORT) |
| .withCodecRegistry(new CodecRegistry() |
| .register(userCodec)) |
| .build(); |
| |
| Session session = cluster.connect(); |
| |
| createSchema(session); |
| insertFromJson(session); |
| selectToJson(session); |
| |
| } finally { |
| if (cluster != null) cluster.close(); |
| } |
| } |
| |
| private static void createSchema(Session session) { |
| session.execute("CREATE KEYSPACE IF NOT EXISTS examples " + |
| "WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1}"); |
| session.execute("CREATE TYPE IF NOT EXISTS examples.json_jsr353_function_user(" + |
| "name text, age int)"); |
| session.execute("CREATE TABLE IF NOT EXISTS examples.json_jsr353_function(" + |
| "id int PRIMARY KEY, user frozen<json_jsr353_function_user>, scores map<varchar,float>)"); |
| } |
| |
| // Mapping JSON payloads to table columns of arbitrary types, |
| // using fromJson() function |
| private static void insertFromJson(Session session) { |
| |
| JsonObject alice = Json.createObjectBuilder() |
| .add("name", "alice") |
| .add("age", 30) |
| .build(); |
| |
| JsonObject bob = Json.createObjectBuilder() |
| .add("name", "bob") |
| .add("age", 35) |
| .build(); |
| |
| JsonObject aliceScores = Json.createObjectBuilder() |
| .add("call_of_duty", 4.8) |
| .add("pokemon_go", 9.7) |
| .build(); |
| |
| JsonObject bobScores = Json.createObjectBuilder() |
| .add("zelda", 8.3) |
| .add("pokemon_go", 12.4) |
| .build(); |
| |
| // Build and execute a simple statement |
| Statement stmt = insertInto("examples", "json_jsr353_function") |
| .value("id", 1) |
| // client-side, the JsonObject will be converted into a JSON String; |
| // then, server-side, the fromJson() function will convert that JSON string |
| // into an instance of the json_jsr353_function_user user-defined type (UDT), |
| // which will be persisted into the column "user" |
| .value("user", fromJson(alice)) |
| // same thing, but this time converting from |
| // a JsonObject to a JSON string, then from this string to a map<varchar,float> |
| .value("scores", fromJson(aliceScores)); |
| session.execute(stmt); |
| |
| // The JSON object can be a bound value if the statement is prepared |
| // (we use a local variable here for the sake of example, but in a real application you would cache and reuse |
| // the prepared statement) |
| PreparedStatement pst = session.prepare( |
| insertInto("examples", "json_jsr353_function") |
| .value("id", bindMarker("id")) |
| .value("user", fromJson(bindMarker("user"))) |
| .value("scores", fromJson(bindMarker("scores")))); |
| session.execute(pst.bind() |
| .setInt("id", 2) |
| // note that the codec requires that the type passed to the set() method |
| // be always JsonStructure, and not a subclass of it, such as JsonObject |
| .set("user", bob, JsonStructure.class) |
| .set("scores", bobScores, JsonStructure.class)); |
| } |
| |
| // Retrieving JSON payloads from table columns of arbitrary types, |
| // using toJson() function |
| private static void selectToJson(Session session) { |
| |
| Statement stmt = select() |
| .column("id") |
| .toJson("user").as("user") |
| .toJson("scores").as("scores") |
| .from("examples", "json_jsr353_function") |
| .where(in("id", 1, 2)); |
| |
| ResultSet rows = session.execute(stmt); |
| |
| for (Row row : rows) { |
| int id = row.getInt("id"); |
| // retrieve the JSON payload and convert it to a JsonObject instance |
| // note that the codec requires that the type passed to the get() method |
| // be always JsonStructure, and not a subclass of it, such as JsonObject, |
| // hence the need to downcast to JsonObject manually |
| JsonObject user = (JsonObject) row.get("user", JsonStructure.class); |
| // it is also possible to retrieve the raw JSON payload |
| String userJson = row.getString("user"); |
| // retrieve the JSON payload and convert it to a JsonObject instance |
| JsonObject scores = (JsonObject) row.get("scores", JsonStructure.class); |
| // it is also possible to retrieve the raw JSON payload |
| String scoresJson = row.getString("scores"); |
| System.out.printf("Retrieved row:%n" + |
| "id %d%n" + |
| "user %s%n" + |
| "user (raw) %s%n" + |
| "scores %s%n" + |
| "scores (raw) %s%n%n", |
| id, user, userJson, scores, scoresJson); |
| } |
| } |
| |
| } |