Datax hive 写 es-Toy模板网

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1、查看datax官网

https://github.com/alibaba/datax/tree/master

Datax hive 写 es

发现有写es的案例

进入 case案例，查看 json

DataX/elasticsearchwriter.md at master · alibaba/DataX · GitHub

{
  "job": {
    "setting": {
        "speed": {
            "channel": 1
        }
    },
    "content": [
      {
        "reader": {
          ...
        },
        "writer": {
          "name": "elasticsearchwriter",
          "parameter": {
            "endpoint": "http://xxx:9999",
            "accessId": "xxxx",
            "accessKey": "xxxx",
            "index": "test-1",
            "type": "default",
            "cleanup": true,
            "settings": {"index" :{"number_of_shards": 1, "number_of_replicas": 0}},
            "discovery": false,
            "batchSize": 1000,
            "splitter": ",",
            "column": [
              {"name": "pk", "type": "id"},
              { "name": "col_ip","type": "ip" },
              { "name": "col_double","type": "double" },
              { "name": "col_long","type": "long" },
              { "name": "col_integer","type": "integer" },
              { "name": "col_keyword", "type": "keyword" },
              { "name": "col_text", "type": "text", "analyzer": "ik_max_word"},
              { "name": "col_geo_point", "type": "geo_point" },
              { "name": "col_date", "type": "date", "format": "yyyy-MM-dd HH:mm:ss"},
              { "name": "col_nested1", "type": "nested" },
              { "name": "col_nested2", "type": "nested" },
              { "name": "col_object1", "type": "object" },
              { "name": "col_object2", "type": "object" },
              { "name": "col_integer_array", "type":"integer", "array":true},
              { "name": "col_geo_shape", "type":"geo_shape", "tree": "quadtree", "precision": "10m"}
            ]
          }
        }
      }
    ]
  }
}

注意下：

有些参数不是必选的，可以不填

Datax hive 写 es

2、实测下：

{
    "job": {
        "setting": {
            "speed": {
                "channel": 1
            }
        },
        "content": [
            {
                "reader": {
                    "name": "hdfsreader",
                    "parameter": {
                        "path": "/apps/hive/warehouse/071000/stg_hive_es_test/dt=2022-03-31/",
                        "defaultFS": "hdfs://sandbox-bigdata-1:8020/",
                        "column": [
                            {
                                "index": 0,
                                "type": "long"
                            },
                            {
                                "index": 1,
                                "type": "string"
                            },
                            {
                                "index": 2,
                                "type": "string"
                            },
                            {
                                "index": 3,
                                "type": "long"
                            },
                            {
                                "index": 4,
                                "type": "double"
                            },
                            {
                                "index": 5,
                                "type": "string"
                            },
                            {
                                "value": "2022-03-31",
                                "type": "string"
                            }
                        ],
                        "fileType": "text",
                        "encoding": "UTF-8",
                        "fieldDelimiter": "\u0001"
                    }
                },
                "writer": {
                    "name": "elasticsearchwriter",
                    "parameter": {
                        "endpoint": "http://127.0.0.1:8200",
                        "index": "index_test_5",
                        "type": "rsl_bas_road_base",
                        "cleanup": false,
                        "settings": {
                            "index": {
                                "number_of_shards": 1,
                                "number_of_replicas": 0
                            }
                        },
                        "discovery": false,
                        "batchSize": 1000,
                        "column": [
                            {
                                "name": "id",
                                "type": "long"
                            },
                            {
                                "name": "road_id",
                                "type": "keyword"
                            },
                            {
                                "name": "road_name",
                                "type": "keyword"
                            },
                            {
                                "name": "road_dir_no",
                                "type": "long"
                            },
                            {
                                "name": "flow",
                                "type": "double"
                            },
                            {
                                "name": "time",
                                "type": "date"
                            },
                            {
                                "name": "dt",
                                "type": "keyword"
                            }
                        ]
                    }
                }
            }
        ]
    }
}

测试过程中，有个身份验证的错误注意下，在我的另一篇博客中。

datax hive 写 es 报错 Caused by: java.lang.IllegalArgumentException: Preemptive authentication set with_fyl005的博客-CSDN博客

source 端：

hive 数据 mock：

向 hive 分区表中插入数据_fyl005的博客-CSDN博客

sink 端：

es 端不需要提前创建 index的（不需要创建表），会自动创建表。