diff --git a/kafka_sparkStreaming_mysql.scala b/kafka_sparkStreaming_mysql.scala
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+++ b/kafka_sparkStreaming_mysql.scala
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+package com.bigdate
+
+import org.apache.kafka.common.serialization.StringDeserializer
+import org.apache.spark.streaming.kafka010.KafkaUtils
+import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.{SparkConf, SparkContext}
+import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe
+/**
+ * @ Author 李烁升
+ * @ DATE 2024 12 05 15 36
+ * */
+object kafka_sparkStreaming_mysql {
+  # 1- 创建 SparkSession
+    spark = SparkSession.builder \
+  .config("spark.sql.shuffle.partitions", 1) \
+  .config("spark.jars.packages", "org.apache.spark:spark-sql-kafka-0-10_2.12:3.0.1")\
+  .appName('kafka_stream') \
+    .master('local[*]') \
+    .getOrCreate()
+
+  # 2- 读取 Kafka 数据流
+  kafka_stream = spark.readStream \
+  .format("kafka") \
+  .option("kafka.bootstrap.servers", "niit-node2:9092") \
+  .option("subscribePattern", "orders") \
+  .load()
+
+  # 3- 解析数据
+  parsed_stream = kafka_stream.selectExpr("cast(value as string) as value", "timestamp") \
+  .withColumn("order_id", F.split(F.col("value"), "\t")[0]) \
+  .withColumn("order_type", F.split(F.col("value"), "\t")[1]) \
+  .withColumn("order_name", F.split(F.col("value"), "\t")[2]) \
+  .withColumn("order_quantity", F.split(F.col("value"), "\t")[3]) \
+  .withColumn("status", F.split(F.col("value"), "\t")[4]) \
+  .drop("value")
+}