我的问题是：如何使JQ以表格格式输出，并用0替换缺失值？
因此，JQ的输入是以下Elastic Search JSON响应：
因此，JQ的输入是以下Elastic Search JSON响应：
{"aggregations": {
"overall": {
"buckets": [
{
"key": "2018-01-18T00:00:00.000Z-2018-01-25T19:33:16.010Z",
"from_as_string": "2018-01-18T00:00:00.000Z",
"to": 1516908796010,
"to_as_string": "2018-01-25T19:33:16.010Z",
"doc_count": 155569,
"agg_per_name": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "ASSET-DD583",
"doc_count": 3016,
"totalMaxUptime_perDays": {
"buckets": [
{
"key_as_string": "2018-01-22T00:00:00.000Z",
"key": 1516579200000,
"doc_count": 161,
"totalMaxUptime": {
"value": 77598
}
},
{
"key_as_string": "2018-01-23T00:00:00.000Z",
"key": 1516665600000,
"doc_count": 251,
"totalMaxUptime": {
"value": 80789
}
},
{
"key_as_string": "2018-01-24T00:00:00.000Z",
"key": 1516752000000,
"doc_count": 192,
"totalMaxUptime": {
"value": 56885
}
},
{
"key_as_string": "2018-01-25T00:00:00.000Z",
"key": 1516838400000,
"doc_count": 2088,
"totalMaxUptime": {
"value": 7392705
}
}
]
}
},
{
"key": "ASSET-DD568",
"doc_count": 2990,
"totalMaxUptime_perDays": {
"buckets": [
{
"key_as_string": "2018-01-18T00:00:00.000Z",
"key": 1516233600000,
"doc_count": 106,
"totalMaxUptime": {
"value": 31241
}
},
{
"key_as_string": "2018-01-19T00:00:00.000Z",
"key": 1516320000000,
"doc_count": 241,
"totalMaxUptime": {
"value": 2952565
}
},
{
"key_as_string": "2018-01-20T00:00:00.000Z",
"key": 1516406400000,
"doc_count": 326,
"totalMaxUptime": {
"value": 2698235
}
},
{
"key_as_string": "2018-01-21T00:00:00.000Z",
"key": 1516492800000,
"doc_count": 214,
"totalMaxUptime": {
"value": 85436
}
},
{
"key_as_string": "2018-01-22T00:00:00.000Z",
"key": 1516579200000,
"doc_count": 279,
"totalMaxUptime": {
"value": 83201
}
},
{
"key_as_string": "2018-01-23T00:00:00.000Z",
"key": 1516665600000,
"doc_count": 50,
"totalMaxUptime": {
"value": 96467
}
},
{
"key_as_string": "2018-01-24T00:00:00.000Z",
"key": 1516752000000,
"doc_count": 5,
"totalMaxUptime": {
"value": 903
}
},
{
"key_as_string": "2018-01-25T00:00:00.000Z",
"key": 1516838400000,
"doc_count": 1769,
"totalMaxUptime": {
"value": 12337946
}
}
]
}
},
{
"key": "ASSET-42631",
"doc_count": 2899,
"totalMaxUptime_perDays": {
"buckets": [
{
"key_as_string": "2018-01-18T00:00:00.000Z",
"key": 1516233600000,
"doc_count": 132,
"totalMaxUptime": {
"value": 39054
}
},
{
"key_as_string": "2018-01-19T00:00:00.000Z",
"key": 1516320000000,
"doc_count": 172,
"totalMaxUptime": {
"value": 47634
}
},
{
"key_as_string": "2018-01-20T00:00:00.000Z",
"key": 1516406400000,
"doc_count": 214,
"totalMaxUptime": {
"value": 68264
}
},
{
"key_as_string": "2018-01-21T00:00:00.000Z",
"key": 1516492800000,
"doc_count": 220,
"totalMaxUptime": {
"value": 66243
}
},
{
"key_as_string": "2018-01-25T00:00:00.000Z",
"key": 1516838400000,
"doc_count": 128,
"totalMaxUptime": {
"value": 47660
}
}
]
}
}
]
}
}
]
}
}
}
这个JSON有一些固有属性：
- agg_per_name.buckets中的桶数量会变化。
- TotalMaxUptime_perDays.buckets代表了从当前日期往前7天的每一天的分组。对于每一个资产，totalMaxUptime_perDays.buckets将会有1到8个不等的桶，每个桶对应一个特定的日期。
给出样例，期望JQ的输出是一个表格，在水平方向上有key_as_string中的日期（在此示例中为2018年1月18日至2018年1月25日），在垂直方向上有所有资产键（例如ASSET-DD583、ASSET-DD568等）。表格中填充了相应日期的totalMaxUptime.value值，如果结果中不存在该日期，则应该用“0”值代替：
XXXXXXXXXXX, 2018-01-18, 2018-01-19, 2018-01-20, 2018-01-21, 2018-01-22, 2018-01-23, 2018-01-24, 2018-01-25
ASSET-DD583, 0, 0, 0, 0, 77598, 80789, 56885, 7392705
ASSET-DD568, 31241, 2952565, 2698235, 85436, 83201, 96467, 903, 12337946
ASSET-42631, 39054, 47634, 68264, 66243, 0, 0, 0, 47660
编辑 1：
这是我目前的进展：
input.json | jq '.aggregations.overall.buckets[0].agg_per_name.buckets[] | .key + ", " + (.totalMaxUptime_perDays.buckets[] | .key_as_string + ", " + (.totalMaxUptime.value | tostring))' | sed 's/"//g' | sed 's/T00:00:00.000Z//g'> uptime.csv
这会产生以下类型的输出：
ASSET-DD583, 2018-01-22, 77598
ASSET-DD583, 2018-01-23, 80789
ASSET-DD583, 2018-01-24, 56885
ASSET-DD583, 2018-01-25, 7392705
...............