DataSN.io » 酒店行业招聘信息 17 » By Table » category_position_1 <SAMPLE=400>
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up [1 / 1 pages]. category_position_1.id: (0 ~ 12 = 12) / [12 rows]. 0.00088s.
Mobile Rows Clusters JSON XML Excel CSV ↓

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{
  "sample": {
    "is_sample": "TRUE",
    "limit_total": 400
  },
  "api": {
    "title": "酒店行业招聘信息 17",
    "desc": "酒店行业招聘信息  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/hotel_industry_employ_information_17/by_table/"
    },
    "home": {
      "href": "http://n3.datasn.io/data/api/v1/n3_lyz/hotel_industry_employ_information_17/by_table/category_position_1/?app=html-json&manifest=row"
    }
  },
  "meta": {
    "query": {
      "page": 1,
      "limit": 100,
      "limit_total": 400,
      "time": 0.00088
    },
    "stats": {
      "raw_rows": 12,
      "rows": 12,
      "rows_total": 12,
      "pages_total": 1
    },
    "struct": {
      "stem": {
        "0": "category_position_1"
      },
      "leaf": "category_position_1.id",
      "leaf_stem": {},
      "leaf_stem_leaf": null
    }
  },
  "output": {
    "rows": {
      "1": {
        "category_position_1.id": 1,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "前厅"
      },
      "2": {
        "category_position_1.id": 2,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "房务"
      },
      "3": {
        "category_position_1.id": 3,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "餐饮"
      },
      "4": {
        "category_position_1.id": 4,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "工程"
      },
      "5": {
        "category_position_1.id": 5,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "销售"
      },
      "6": {
        "category_position_1.id": 6,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "连锁/市场拓展"
      },
      "7": {
        "category_position_1.id": 7,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "采购/仓储"
      },
      "8": {
        "category_position_1.id": 8,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "经营管理"
      },
      "9": {
        "category_position_1.id": 9,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "人力资源类"
      },
      "10": {
        "category_position_1.id": 10,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "行政管理类"
      },
      "11": {
        "category_position_1.id": 11,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "财务/审计/统计"
      },
      "12": {
        "category_position_1.id": 12,
        "category_position_1.ts": "2018-01-30 15:50:51",
        "category_position_1.position": "其他"
      }
    }
  }
}
up [1 / 1 pages]. category_position_1.id: (0 ~ 12 = 12) / [12 rows]. 0.00088s.
Mobile Rows Clusters JSON XML Excel CSV ↓
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