【原創】Jmeter正則表達式提取json中多個關聯值

使用jmeter時response中返回為json格式如下

{
    "return_code": 0,
    "return_msg": "ok",
    "data": [
        {
            "name": "武漢隆安置業有限公司",
            "id": 4,
            "product": "[{\"value\":\"7953AC76-A85A-E011-B371-001D096CF989\",\"text\":\"\\u9e7f\\u9e23\\u82d1\"}]"
        },
        {
            "name": "湖北省建工房地產開發有限公司",
            "id": 10,
            "product": "[{\"value\":\"8C53AC76-A85A-E011-B371-001D096CF989\",\"text\":\"\\u5f90\\u4e1c\\u96c5\\u82d1\"}]"
        }
    ]
}

 

需要將其中的"id": 4" id": 10,取出（4，10）用來后續斷言，由於每次返回id的組數可能都不同，故無法使用$$模板號來取

此時正則表達式匹配數字選擇-1來匹配所有符合的關聯值

查看結果樹時發現看不到所有id的值，通過添加后置處理器Debug PostProcessor查看提取的所有結果

當前提取出的結果：

custom_id_1=4
custom_id_1_g=1
custom_id_1_g0="id":4,"product"
custom_id_1_g1=4
custom_id_2=10
custom_id_2_g=1
custom_id_2_g0="id":10,"product"
custom_id_2_g1=10
custom_id_matchNr=2

 

 可以通過邏輯控制器-for each控制器逐一取出關聯值

並且賦值給數組tmp，其中${custom_id_matchNr}為匹配到的關聯值個數

最后打印驗證下去取出的值是否正確

4與10被成功取出，證明tmp即為最終需要的數組

 

================================================================================================================================================

Jmeter正則實現探究：

當前提取出的結果：

custom_id_1=4
custom_id_1_g=1 custom_id_1_g0="id":4,"product" custom_id_1_g1=4 custom_id_2=10 custom_id_2_g=1 custom_id_2_g0="id":10,"product" custom_id_2_g1=10 custom_id_matchNr=2

可以發現取出的內容並不只是一個數組

下面還有分組 group1  group2

查看源碼實現

    private void saveGroups(MatchResult result, String namep, JMeterVariables vars) {
        if (result != null) {
            for (int x = 0; x < result.groups(); x++) {
                vars.put(namep + "_g" + x, result.group(x)); //$NON-NLS-1$
            }
        }
    }

List<MatchResult> collectAllMatches = new ArrayList<>();
        try {
            PatternMatcher matcher = JMeterUtils.getMatcher();
            PatternMatcherInput input = new PatternMatcherInput(textToMatch);
            while (matcher.contains(input, searchPattern)) {
                MatchResult match = matcher.getMatch();
                collectAllMatches.add(match);
            }
        } finally {
            if (name.length() > 0){
                vars.put(name + "_matchNr", Integer.toString(collectAllMatches.size())); //$NON-NLS-1$
            }
        }

        if (collectAllMatches.size() == 0) {
            return defaultValue;
        }

        if (valueIndex.equals(ALL)) {
            StringBuilder value = new StringBuilder();
            Iterator<MatchResult> it = collectAllMatches.iterator();
            boolean first = true;
            while (it.hasNext()) {
                if (!first) {
                    value.append(between);
                } else {
                    first = false;
                }
                value.append(generateResult(it.next(), name, tmplt, vars));
            }
            return value.toString();
        } else if (valueIndex.equals(RAND)) {
            MatchResult result = collectAllMatches.get(ThreadLocalRandom.current().nextInt(collectAllMatches.size()));
            return generateResult(result, name, tmplt, vars);
        } else {
            try {
                int index = Integer.parseInt(valueIndex) - 1;
                MatchResult result = collectAllMatches.get(index);
                return generateResult(result, name, tmplt, vars);
            } catch (NumberFormatException e) {
                float ratio = Float.parseFloat(valueIndex);
                MatchResult result = collectAllMatches
                        .get((int) (collectAllMatches.size() * ratio + .5) - 1);
                return generateResult(result, name, tmplt, vars);
            } catch (IndexOutOfBoundsException e) {
                return defaultValue;
            }
        }

custom_id_1_g=1

custom_id_2_g=1  // 代表group的長度

custom_id_2_g0="id":10,"product"  //匹配的內容
custom_id_2_g1=10  //提取的內容