如何按顺序运行spark作业？

from pyspark.sql import SparkSession

spark = SparkSession.builder.appName("JobName").getOrCreate()

lines = spark.read.text("input.txt").rdd
words = lines.flatMap(lambda line: line.value.split(" "))
wordCounts = words.countByValue()

lines = spark.read.text("input.txt").rdd
words = lines.flatMap(lambda line: line.value.split(" "))
wordCounts = words.countByValue()

# 第二个作业依赖于第一个作业的结果
filteredWords = words.filter(lambda word: word.startswith("a"))
filteredWordCounts = filteredWords.countByValue()

lines = spark.read.text("input.txt").rdd
words = lines.flatMap(lambda line: line.value.split(" "))
wordCounts = words.countByValue()

# 打印单词计数结果
for word, count in wordCounts.items():
    print(f"{word}: {count}")