Moved Flink related code from libraries to libraries-data module. (#5253)
This commit is contained in:
committed by
Grzegorz Piwowarek
parent
33aa52ac94
commit
05e1700fb7
@@ -0,0 +1,82 @@
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package com.baeldung.flink;
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import com.baeldung.flink.model.Backup;
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import com.baeldung.flink.model.InputMessage;
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import com.baeldung.flink.operator.BackupAggregator;
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import com.baeldung.flink.operator.InputMessageTimestampAssigner;
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import com.baeldung.flink.operator.WordsCapitalizer;
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import org.apache.flink.streaming.api.TimeCharacteristic;
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import org.apache.flink.streaming.api.datastream.DataStream;
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import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
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import org.apache.flink.streaming.api.windowing.time.Time;
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import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011;
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import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011;
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import static com.baeldung.flink.connector.Consumers.*;
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import static com.baeldung.flink.connector.Producers.*;
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public class FlinkDataPipeline {
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public static void capitalize() throws Exception {
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String inputTopic = "flink_input";
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String outputTopic = "flink_output";
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String consumerGroup = "baeldung";
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String address = "localhost:9092";
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StreamExecutionEnvironment environment =
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StreamExecutionEnvironment.getExecutionEnvironment();
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FlinkKafkaConsumer011<String> flinkKafkaConsumer =
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createStringConsumerForTopic(inputTopic, address, consumerGroup);
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flinkKafkaConsumer.setStartFromEarliest();
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DataStream<String> stringInputStream =
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environment.addSource(flinkKafkaConsumer);
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FlinkKafkaProducer011<String> flinkKafkaProducer =
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createStringProducer(outputTopic, address);
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stringInputStream
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.map(new WordsCapitalizer())
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.addSink(flinkKafkaProducer);
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environment.execute();
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}
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public static void createBackup () throws Exception {
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String inputTopic = "flink_input";
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String outputTopic = "flink_output";
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String consumerGroup = "baeldung";
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String kafkaAddress = "localhost:9092";
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StreamExecutionEnvironment environment =
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StreamExecutionEnvironment.getExecutionEnvironment();
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environment.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
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FlinkKafkaConsumer011<InputMessage> flinkKafkaConsumer =
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createInputMessageConsumer(inputTopic, kafkaAddress, consumerGroup);
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flinkKafkaConsumer.setStartFromEarliest();
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flinkKafkaConsumer
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.assignTimestampsAndWatermarks(new InputMessageTimestampAssigner());
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FlinkKafkaProducer011<Backup> flinkKafkaProducer =
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createBackupProducer(outputTopic, kafkaAddress);
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DataStream<InputMessage> inputMessagesStream =
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environment.addSource(flinkKafkaConsumer);
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inputMessagesStream
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.timeWindowAll(Time.hours(24))
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.aggregate(new BackupAggregator())
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.addSink(flinkKafkaProducer);
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environment.execute();
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}
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public static void main(String[] args) throws Exception {
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createBackup();
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}
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}
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@@ -0,0 +1,18 @@
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package com.baeldung.flink;
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import org.apache.flink.api.common.functions.FlatMapFunction;
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import org.apache.flink.api.java.tuple.Tuple2;
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import org.apache.flink.util.Collector;
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import java.util.stream.Stream;
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@SuppressWarnings("serial")
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public class LineSplitter implements FlatMapFunction<String, Tuple2<String, Integer>> {
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@Override
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public void flatMap(String value, Collector<Tuple2<String, Integer>> out) {
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String[] tokens = value.toLowerCase().split("\\W+");
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Stream.of(tokens).filter(t -> t.length() > 0).forEach(token -> out.collect(new Tuple2<>(token, 1)));
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}
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}
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package com.baeldung.flink;
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import org.apache.flink.api.java.DataSet;
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import org.apache.flink.api.java.ExecutionEnvironment;
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import org.apache.flink.api.java.aggregation.Aggregations;
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import org.apache.flink.api.java.tuple.Tuple2;
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import java.util.List;
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public class WordCount {
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public static DataSet<Tuple2<String, Integer>> startWordCount(ExecutionEnvironment env, List<String> lines) throws Exception {
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DataSet<String> text = env.fromCollection(lines);
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return text.flatMap(new LineSplitter()).groupBy(0).aggregate(Aggregations.SUM, 1);
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}
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}
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@@ -0,0 +1,32 @@
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package com.baeldung.flink.connector;
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import com.baeldung.flink.model.InputMessage;
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import com.baeldung.flink.schema.InputMessageDeserializationSchema;
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import org.apache.flink.api.common.serialization.SimpleStringSchema;
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import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011;
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import java.util.Properties;
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public class Consumers {
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public static FlinkKafkaConsumer011<String> createStringConsumerForTopic(
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String topic, String kafkaAddress, String kafkaGroup ) {
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Properties props = new Properties();
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props.setProperty("bootstrap.servers", kafkaAddress);
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props.setProperty("group.id",kafkaGroup);
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FlinkKafkaConsumer011<String> consumer =
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new FlinkKafkaConsumer011<>(topic, new SimpleStringSchema(),props);
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return consumer;
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}
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public static FlinkKafkaConsumer011<InputMessage> createInputMessageConsumer(String topic, String kafkaAddress, String kafkaGroup ) {
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Properties properties = new Properties();
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properties.setProperty("bootstrap.servers", kafkaAddress);
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properties.setProperty("group.id",kafkaGroup);
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FlinkKafkaConsumer011<InputMessage> consumer = new FlinkKafkaConsumer011<InputMessage>(
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topic, new InputMessageDeserializationSchema(),properties);
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return consumer;
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}
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}
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@@ -0,0 +1,17 @@
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package com.baeldung.flink.connector;
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import com.baeldung.flink.model.Backup;
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import com.baeldung.flink.schema.BackupSerializationSchema;
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import org.apache.flink.api.common.serialization.SimpleStringSchema;
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import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011;
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public class Producers {
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public static FlinkKafkaProducer011<String> createStringProducer(String topic, String kafkaAddress) {
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return new FlinkKafkaProducer011<>(kafkaAddress, topic, new SimpleStringSchema());
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}
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public static FlinkKafkaProducer011<Backup> createBackupProducer(String topic, String kafkaAddress) {
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return new FlinkKafkaProducer011<Backup>(kafkaAddress, topic, new BackupSerializationSchema());
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}
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}
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@@ -0,0 +1,27 @@
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package com.baeldung.flink.model;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import java.time.LocalDateTime;
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import java.util.List;
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import java.util.UUID;
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public class Backup {
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@JsonProperty("inputMessages")
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List<InputMessage> inputMessages;
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@JsonProperty("backupTimestamp")
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LocalDateTime backupTimestamp;
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@JsonProperty("uuid")
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UUID uuid;
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public Backup(List<InputMessage> inputMessages, LocalDateTime backupTimestamp) {
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this.inputMessages = inputMessages;
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this.backupTimestamp = backupTimestamp;
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this.uuid = UUID.randomUUID();
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}
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public List<InputMessage> getInputMessages() {
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return inputMessages;
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}
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}
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@@ -0,0 +1,71 @@
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package com.baeldung.flink.model;
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import com.fasterxml.jackson.databind.annotation.JsonSerialize;
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import com.google.common.base.Objects;
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import java.time.LocalDateTime;
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@JsonSerialize
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public class InputMessage {
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String sender;
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String recipient;
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LocalDateTime sentAt;
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String message;
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public InputMessage() {
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}
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public String getSender() {
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return sender;
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}
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public void setSender(String sender) {
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this.sender = sender;
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}
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public String getRecipient() {
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return recipient;
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}
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public void setRecipient(String recipient) {
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this.recipient = recipient;
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}
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public LocalDateTime getSentAt() {
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return sentAt;
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}
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public void setSentAt(LocalDateTime sentAt) {
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this.sentAt = sentAt;
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}
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public String getMessage() {
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return message;
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}
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public void setMessage(String message) {
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this.message = message;
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}
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public InputMessage(String sender, String recipient, LocalDateTime sentAt, String message) {
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this.sender = sender;
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this.recipient = recipient;
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this.sentAt = sentAt;
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this.message = message;
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) return true;
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if (o == null || getClass() != o.getClass()) return false;
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InputMessage message1 = (InputMessage) o;
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return Objects.equal(sender, message1.sender) &&
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Objects.equal(recipient, message1.recipient) &&
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Objects.equal(sentAt, message1.sentAt) &&
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Objects.equal(message, message1.message);
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}
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@Override
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public int hashCode() {
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return Objects.hashCode(sender, recipient, sentAt, message);
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}
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}
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@@ -0,0 +1,34 @@
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package com.baeldung.flink.operator;
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import com.baeldung.flink.model.Backup;
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import com.baeldung.flink.model.InputMessage;
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import org.apache.flink.api.common.functions.AggregateFunction;
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import java.time.LocalDateTime;
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import java.util.ArrayList;
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import java.util.List;
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public class BackupAggregator implements AggregateFunction<InputMessage, List<InputMessage>, Backup> {
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@Override
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public List<InputMessage> createAccumulator() {
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return new ArrayList<>();
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}
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@Override
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public List<InputMessage> add(InputMessage inputMessage, List<InputMessage> inputMessages) {
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inputMessages.add(inputMessage);
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return inputMessages;
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}
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@Override
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public Backup getResult(List<InputMessage> inputMessages) {
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Backup backup = new Backup(inputMessages, LocalDateTime.now());
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return backup;
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}
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@Override
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public List<InputMessage> merge(List<InputMessage> inputMessages, List<InputMessage> acc1) {
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inputMessages.addAll(acc1);
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return inputMessages;
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}
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}
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+23
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package com.baeldung.flink.operator;
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import com.baeldung.flink.model.InputMessage;
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import org.apache.flink.streaming.api.functions.AssignerWithPunctuatedWatermarks;
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import org.apache.flink.streaming.api.watermark.Watermark;
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import javax.annotation.Nullable;
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import java.time.ZoneId;
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public class InputMessageTimestampAssigner implements AssignerWithPunctuatedWatermarks<InputMessage> {
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@Override
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public long extractTimestamp(InputMessage element, long previousElementTimestamp) {
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ZoneId zoneId = ZoneId.systemDefault();
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return element.getSentAt().atZone(zoneId).toEpochSecond() * 1000;
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}
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@Nullable
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@Override
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public Watermark checkAndGetNextWatermark(InputMessage lastElement, long extractedTimestamp) {
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return new Watermark(extractedTimestamp - 15);
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}
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}
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@@ -0,0 +1,11 @@
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package com.baeldung.flink.operator;
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import org.apache.flink.api.common.functions.MapFunction;
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public class WordsCapitalizer implements MapFunction<String, String> {
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@Override
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public String map(String s) {
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return s.toUpperCase();
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}
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}
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@@ -0,0 +1,33 @@
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package com.baeldung.flink.schema;
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import com.baeldung.flink.model.Backup;
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import com.fasterxml.jackson.annotation.JsonAutoDetect;
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import com.fasterxml.jackson.annotation.PropertyAccessor;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
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import org.apache.flink.api.common.serialization.SerializationSchema;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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public class BackupSerializationSchema
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implements SerializationSchema<Backup> {
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static ObjectMapper objectMapper = new ObjectMapper().registerModule(new JavaTimeModule());
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Logger logger = LoggerFactory.getLogger(BackupSerializationSchema.class);
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@Override
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public byte[] serialize(Backup backupMessage) {
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if(objectMapper == null) {
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objectMapper.setVisibility(PropertyAccessor.FIELD, JsonAutoDetect.Visibility.ANY);
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objectMapper = new ObjectMapper().registerModule(new JavaTimeModule());
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}
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try {
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String json = objectMapper.writeValueAsString(backupMessage);
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return json.getBytes();
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} catch (com.fasterxml.jackson.core.JsonProcessingException e) {
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logger.error("Failed to parse JSON", e);
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}
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return new byte[0];
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}
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}
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+32
@@ -0,0 +1,32 @@
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package com.baeldung.flink.schema;
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import com.baeldung.flink.model.InputMessage;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
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import org.apache.flink.api.common.serialization.DeserializationSchema;
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import org.apache.flink.api.common.typeinfo.TypeInformation;
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import java.io.IOException;
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public class InputMessageDeserializationSchema implements
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DeserializationSchema<InputMessage> {
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static ObjectMapper objectMapper = new ObjectMapper().registerModule(new JavaTimeModule());
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@Override
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public InputMessage deserialize(byte[] bytes) throws IOException {
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return objectMapper.readValue(bytes, InputMessage.class);
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}
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@Override
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public boolean isEndOfStream(InputMessage inputMessage) {
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return false;
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}
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@Override
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public TypeInformation<InputMessage> getProducedType() {
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return TypeInformation.of(InputMessage.class);
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}
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}
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