需要使用 sed 更改 json 文件的值

Question

我需要使用 sed 更改 JSON 文件的值，

我看到很多人建议使用 jq、python 或 Perl。

但是我在一个容器内工作，我希望它尽可能简单，所以只有 sed 是我需要的解决方案。

JSON 文件是：

{
  "useCaseName" : "rca",
  "algorithm" : "log-clustering-train",
  "mainClass" : "com.hp.analytics.logclustering.MainTrainer",
  "applicationJar" : "log-clustering-train-1.0.0-SNAPSHOT-jar-with-dependencies.jar",
  "conf" : {
    "spark.driver.memory" : "3gb",
    "spark.executor.memory" : "9gb",
    "spark.executor.userClassPathFirst" : "true",
    "spark.cores.max": "8"
  },
  "schedule" : {
    "period" : "10",
    "timeUnit" : "hours",
    "timeoutPeriodSeconds" : "10800"
  }
}

我想更改其中的 4 个值：

"spark.driver.memory" : "1gb",

"spark.executor.memory" : "1gb",

“spark.cores.max”：“1”

“期间”：“15”，

所以输出将是：

  {
      "useCaseName" : "rca",
      "algorithm" : "log-clustering-train",
      "mainClass" : "com.hp.analytics.logclustering.MainTrainer",
      "applicationJar" : "log-clustering-train-1.0.0-SNAPSHOT-jar-with-dependencies.jar",
      "conf" : {
        "spark.driver.memory" : "1gb",
        "spark.executor.memory" : "1gb",
        "spark.executor.userClassPathFirst" : "true",
        "spark.cores.max": "1"
      },
      "schedule" : {
        "period" : "15",
        "timeUnit" : "hours",
        "timeoutPeriodSeconds" : "10800"
      }
    }

Answer 1

对于 sed 使用以下内容

sed -i '/spark.driver.memory/c\   \"spark.driver.memory\" : \"1gb\",' file.txt
sed -i '/spark.executor.memory/c\   \"spark.executor.memory\" : \"1gb\",' file.txt
sed -i '/spark.cores.max/c\   \"spark.cores.max\" : \"1\",' file.txt
sed -i '/period/c\   \"period\" : \"15\",' file.txt

Answer 2

届时您将准备好使用jq工具找到正确的解决方案：

jq '.conf |= . + {"spark.driver.memory":"1gb","spark.executor.memory":"1gb","spark.cores.max":"1"} | .schedule |= . + {period:"15"}' file

输出：

{
  "useCaseName": "rca",
  "algorithm": "log-clustering-train",
  "mainClass": "com.hp.analytics.logclustering.MainTrainer",
  "applicationJar": "log-clustering-train-1.0.0-SNAPSHOT-jar-with-dependencies.jar",
  "conf": {
    "spark.driver.memory": "1gb",
    "spark.executor.memory": "1gb",
    "spark.executor.userClassPathFirst": "true",
    "spark.cores.max": "1"
  },
  "schedule": {
    "period": "15",
    "timeUnit": "hours",
    "timeoutPeriodSeconds": "10800"
  }
}