| /* |
| * Copyright (C) 2012-2017 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 type {@code VARCHAR}, |
| * containing JSON payloads, into a Java object using |
| * the <a href="https://jcp.org/en/jsr/detail?id=353">Java API for JSON processing</a>. |
| * <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 table "examples.json_jsr353_column". If it already exists, it will be reused; |
| * - inserts data in the table. |
| */ |
| public class Jsr353JsonColumn { |
| |
| 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); |
| insertJsonColumn(session); |
| selectJsonColumn(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 TABLE IF NOT EXISTS examples.json_jsr353_column(" + |
| "id int PRIMARY KEY, json text)"); |
| } |
| |
| // Mapping a JSON object to a table column |
| private static void insertJsonColumn(Session session) { |
| |
| JsonObject alice = Json.createObjectBuilder() |
| .add("name", "alice") |
| .add("age", 30) |
| .build(); |
| |
| JsonObject bob = Json.createObjectBuilder() |
| .add("name", "bob") |
| .add("age", 35) |
| .build(); |
| |
| // Build and execute a simple statement |
| Statement stmt = insertInto("examples", "json_jsr353_column") |
| .value("id", 1) |
| // the JSON object will be converted into a String and persisted into the VARCHAR column "json" |
| .value("json", alice); |
| 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_column") |
| .value("id", bindMarker("id")) |
| .value("json", bindMarker("json"))); |
| 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("json", bob, JsonStructure.class)); |
| } |
| |
| // Retrieving JSON objects from a table column |
| private static void selectJsonColumn(Session session) { |
| |
| Statement stmt = select() |
| .from("examples", "json_jsr353_column") |
| .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("json", JsonStructure.class); |
| // it is also possible to retrieve the raw JSON payload |
| String json = row.getString("json"); |
| System.out.printf("Retrieved row:%n" + |
| "id %d%n" + |
| "user %s%n" + |
| "user (raw) %s%n%n", |
| id, user, json); |
| } |
| } |
| |
| } |