DataSN.io » 能源电力行业招聘信息 25 » By Table » region <SAMPLE=400>
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up [1 / 1 pages]. region.id: (0 ~ 35 = 35) / [35 rows]. 0.00093s.
Mobile Rows Clusters JSON XML Excel CSV ↓

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{
  "sample": {
    "is_sample": "TRUE",
    "limit_total": 400
  },
  "api": {
    "title": "能源电力行业招聘信息 25",
    "desc": "能源电力招聘 火电招聘 风电招聘 水电招聘 光伏电站招聘 电气工程招聘 数据集",
    "point": {
      "title": "By Table",
      "desc": "Each API function returns data from a specific database table. "
    }
  },
  "input": {
    "url": false,
    "get": false,
    "post": false
  },
  "links": {
    "up": {
      "href": "http://n3.datasn.io/data/api/v1/n3_lyz/power_and_electricity_industry_employ_information_25/by_table/"
    },
    "home": {
      "href": "http://n3.datasn.io/data/api/v1/n3_lyz/power_and_electricity_industry_employ_information_25/by_table/region/?app=html-json&manifest=row"
    }
  },
  "meta": {
    "query": {
      "page": 1,
      "limit": 100,
      "limit_total": 400,
      "time": 0.00093
    },
    "stats": {
      "raw_rows": 35,
      "rows": 35,
      "rows_total": 35,
      "pages_total": 1
    },
    "struct": {
      "stem": {
        "0": "region"
      },
      "leaf": "region.id",
      "leaf_stem": {},
      "leaf_stem_leaf": null
    }
  },
  "output": {
    "rows": {
      "1": {
        "region.id": 1,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "安徽"
      },
      "2": {
        "region.id": 2,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "澳门"
      },
      "3": {
        "region.id": 3,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "北京"
      },
      "4": {
        "region.id": 4,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "福建"
      },
      "5": {
        "region.id": 5,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "甘肃"
      },
      "6": {
        "region.id": 6,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "广东"
      },
      "7": {
        "region.id": 7,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "广西"
      },
      "8": {
        "region.id": 8,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "贵州"
      },
      "9": {
        "region.id": 9,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "海南"
      },
      "10": {
        "region.id": 10,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "海外"
      },
      "11": {
        "region.id": 11,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "河北"
      },
      "12": {
        "region.id": 12,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "河南"
      },
      "13": {
        "region.id": 13,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "黑龙江"
      },
      "14": {
        "region.id": 14,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "湖北"
      },
      "15": {
        "region.id": 15,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "湖南"
      },
      "16": {
        "region.id": 16,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "吉林"
      },
      "17": {
        "region.id": 17,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "江苏"
      },
      "18": {
        "region.id": 18,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "江西"
      },
      "19": {
        "region.id": 19,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "辽宁"
      },
      "20": {
        "region.id": 20,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "内蒙古"
      },
      "21": {
        "region.id": 21,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "宁夏"
      },
      "22": {
        "region.id": 22,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "青海"
      },
      "23": {
        "region.id": 23,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "山东"
      },
      "24": {
        "region.id": 24,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "山西"
      },
      "25": {
        "region.id": 25,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "陕西"
      },
      "26": {
        "region.id": 26,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "上海"
      },
      "27": {
        "region.id": 27,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "四川"
      },
      "28": {
        "region.id": 28,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "台湾"
      },
      "29": {
        "region.id": 29,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "天津"
      },
      "30": {
        "region.id": 30,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "西藏"
      },
      "31": {
        "region.id": 31,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "香港"
      },
      "32": {
        "region.id": 32,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "新疆"
      },
      "33": {
        "region.id": 33,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "云南"
      },
      "34": {
        "region.id": 34,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "浙江"
      },
      "35": {
        "region.id": 35,
        "region.ts": "2018-02-11 14:05:42",
        "region.region": "重庆"
      }
    }
  }
}
up [1 / 1 pages]. region.id: (0 ~ 35 = 35) / [35 rows]. 0.00093s.
Mobile Rows Clusters JSON XML Excel CSV ↓
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