Jmeter书中不会教你的（49）——json格式的响应体转换为JSONObject

之前我们要提取json格式的响应体某个字段时可以采用神器json提取器，Jmeter书中不会教你的（8）——提取响应内容的神器JSON Extractor_agrapea的博客-CSDN博客现在学另一种方法，在beanshell中将json格式的响应体为字符串类型的内容转换为JSON对象，从而利用JSON对象的方法轻松的得到我们期望的值。这里需要用到一个插件jar包，关于beanshell中如何引

agrapea

2186人浏览 · 2021-12-24 09:15:32

agrapea · 2021-12-24 09:15:32 发布

之前我们要提取json格式的响应体某个字段时可以采用神器json提取器，

Jmeter书中不会教你的（8）——提取响应内容的神器JSON Extractor_agrapea的博客-CSDN博客现在学另一种方法，在beanshell中将json格式的响应体为字符串类型的内容转换为JSON对象，从而利用JSON对象的方法轻松的得到我们期望的值。

这里需要用到一个插件jar包，关于beanshell中如何引入jar包的方式可以参考

Jmeter书中不会教你的（45）——beanshell中引入jar包方式2_agrapea的博客-CSDN博客

json.jar：下载地址https://pan.baidu.com/s/1Gn6B1mKeLkTV5Y4YxWJW9Q 提取码：4r5d

将jar包放入lib\ext下，新建一个dummy sampler，响应值如下

{
	"msgCode": "0",
	"msg": "成功",
	"data": {
		"total": 321,
		"list": [{
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			"distributeTime": "2019-01-30 11:37:08",
			"taskName": "20190130task1",
			"bizName": "智能面试",
			"wavFilename": "20180910095609049_1_316_ipcc_shtp_asr-8kHz-aff95840b49c11e8[1].wav",
			"recordSource": "/nfsc/csp_nas_8821_id008821_vol1002_stg/eim-sm/RECORD/zhinengmianshi/20190130/20180910095609049_1_316_ipcc_shtp_asr-8kHz-aff95840b49c11e8[1].wav",
			"recordDuration": "00:00:22",
			"statusName": null,
			"markStartTime": null,
			"markEndTime": null,
			"markReceiveTime": null,
			"marker": null,
			"userFlag": null,
			"back": false
		}, {
			"taskId": "6adcf44f2fdf4e3fb2ce93a8eaec87de",
			"recordId": "b4d12c20-8b19-4095-a78a-509d0733c88b",
			"distributeTime": "2019-01-30 11:37:09",
			"taskName": "20190130task1",
			"bizName": "智能面试",
			"wavFilename": "20180910095704682_1_317_ipcc_shtp_asr-8kHz-d1202b66b49c11e8[1].wav",
			"recordSource": "/nfsc/csp_nas_8821_id008821_vol1002_stg/eim-sm/RECORD/zhinengmianshi/20190130/20180910095704682_1_317_ipcc_shtp_asr-8kHz-d1202b66b49c11e8[1].wav",
			"recordDuration": "00:00:20",
			"statusName": null,
			"markStartTime": null,
			"markEndTime": null,
			"markReceiveTime": null,
			"marker": null,
			"userFlag": null,
			"back": false
		}, {
			"taskId": "da3213defd7c4a9e9a49880bfe09b601",
			"recordId": "29529ea1-3868-463c-9b88-9f077927be3e",
			"distributeTime": "2019-01-30 11:37:10",
			"taskName": "20190130task1",
			"bizName": "智能面试",
			"wavFilename": "20180910095704682_1_317_ipcc_shtp_asr-8kHz-d1202b66b49c11e8[2].wav",
			"recordSource": "/nfsc/csp_nas_8821_id008821_vol1002_stg/eim-sm/RECORD/zhinengmianshi/20190130/20180910095704682_1_317_ipcc_shtp_asr-8kHz-d1202b66b49c11e8[2].wav",
			"recordDuration": "00:00:16",
			"statusName": null,
			"markStartTime": null,
			"markEndTime": null,
			"markReceiveTime": null,
			"marker": null,
			"userFlag": null,
			"back": false
		}, {
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			"distributeTime": "2019-01-30 11:37:11",
			"taskName": "20190130task1",
			"bizName": "智能面试",
			"wavFilename": "20180910095837911_1_318_ipcc_shtp_asr-8kHz-08b06f50b49d11e8[1].wav",
			"recordSource": "/nfsc/csp_nas_8821_id008821_vol1002_stg/eim-sm/RECORD/zhinengmianshi/20190130/20180910095837911_1_318_ipcc_shtp_asr-8kHz-08b06f50b49d11e8[1].wav",
			"recordDuration": "00:00:16",
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			"markStartTime": null,
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			"markReceiveTime": null,
			"marker": null,
			"userFlag": null,
			"back": false
		}, {
			"taskId": "f342876995a9480490067818238aaf13",
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			"distributeTime": "2019-01-30 11:37:11",
			"taskName": "20190130task1",
			"bizName": "智能面试",
			"wavFilename": "20180910095837911_1_318_ipcc_shtp_asr-8kHz-08b06f50b49d11e8[2].wav",
			"recordSource": "/nfsc/csp_nas_8821_id008821_vol1002_stg/eim-sm/RECORD/zhinengmianshi/20190130/20180910095837911_1_318_ipcc_shtp_asr-8kHz-08b06f50b49d11e8[2].wav",
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		}, {
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			"recordId": "dc620476-ef9b-4119-afb0-26d43b5849cf",
			"distributeTime": "2019-01-30 11:37:12",
			"taskName": "20190130task1",
			"bizName": "智能面试",
			"wavFilename": "20180910095839670_1_319_ipcc_shtp_asr-8kHz-09c0011cb49d11e8[1].wav",
			"recordSource": "/nfsc/csp_nas_8821_id008821_vol1002_stg/eim-sm/RECORD/zhinengmianshi/20190130/20180910095839670_1_319_ipcc_shtp_asr-8kHz-09c0011cb49d11e8[1].wav",
			"recordDuration": "00:00:21",
			"statusName": null,
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		"isFirstPage": true,
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		"hasPreviousPage": false,
		"hasNextPage": true,
		"navigatePages": 8,
		"navigatepageNums": [1, 2, 3, 4, 5, 6, 7, 8],
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		"firstPage": 1,
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	}
}

再其下新建一个beanshell后置处理器用来处理json，假设我们需要提取以上msgCode的值，

1）new一个JSONObject对象

2）利用对象的get（“字段”）方法获取字段内容，获取的类型根据实际获取的内容决定，String、int、数组等都有可能