优化Kafka认证方式，删除配置项通过连接端口判断

src/main/java/com/zdjizhi/utils/kafka/KafkaProducer.java

@@ -0,0 +1,53 @@
+package com.zdjizhi.utils.kafka;
+
+import com.zdjizhi.common.StreamAggregateConfig;
+import org.apache.flink.api.common.serialization.SimpleStringSchema;
+import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.common.config.SslConfigs;
+
+import java.util.Optional;
+import java.util.Properties;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.kafka
+ * @Description:
+ * @date 2021/6/814:04
+ */
+public class KafkaProducer {
+
+    private static Properties createProducerConfig() {
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", StreamAggregateConfig.SINK_KAFKA_SERVERS);
+        properties.put("acks", StreamAggregateConfig.PRODUCER_ACK);
+        properties.put("retries", StreamAggregateConfig.RETRIES);
+        properties.put("linger.ms", StreamAggregateConfig.LINGER_MS);
+        properties.put("request.timeout.ms", StreamAggregateConfig.REQUEST_TIMEOUT_MS);
+        properties.put("batch.size", StreamAggregateConfig.BATCH_SIZE);
+        properties.put("buffer.memory", StreamAggregateConfig.BUFFER_MEMORY);
+        properties.put("max.request.size", StreamAggregateConfig.MAX_REQUEST_SIZE);
+        properties.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, StreamAggregateConfig.PRODUCER_KAFKA_COMPRESSION_TYPE);
+
+        CertUtils.chooseCert(StreamAggregateConfig.SINK_KAFKA_SERVERS, properties);
+
+        return properties;
+    }
+
+
+    public static FlinkKafkaProducer<String> getKafkaProducer() {
+        FlinkKafkaProducer<String> kafkaProducer = new FlinkKafkaProducer<String>(
+                StreamAggregateConfig.SINK_KAFKA_TOPIC,
+                new SimpleStringSchema(),
+                createProducerConfig(), Optional.empty());
+
+        //启用此选项将使生产者仅记录失败日志而不是捕获和重新抛出它们
+        kafkaProducer.setLogFailuresOnly(false);
+
+        //写入kafka的消息携带时间戳
+//        kafkaProducer.setWriteTimestampToKafka(true);
+
+
+        return kafkaProducer;
+    }
+}