Closed Andro999b closed 10 years ago
Can you post the json object structure stored in Mongo?
On Tuesday, January 21, 2014, Andro999b notifications@github.com wrote:
include_fields ignore all nested field, except last one.
For example, i use this code to create river.
{ "type": "mongodb", "mongodb": { "db": "market", "collection": "entities", "options": { "include_fields": [ "system_info.userId", "place.area", "system_info.date", "place.country", "system_info.removed", "system_info.premium", "place.default", "system_info.price" ] } }, "index": { "name": "market", "type": "goods" } }
But only "place.default", "system_info.price" will be in search index.
— Reply to this email directly or view it on GitHubhttps://github.com/richardwilly98/elasticsearch-river-mongodb/issues/204 .
This one for an example.
{
"_id" : ObjectId("52ce6b144d6c41d89615e14d"),
"gross_weight" : 0,
"fifth_wheel_height" : 0,
"number_of_valves" : 0,
"number_of_cylinders" : 0,
"net_weight" : 0,
"truck_mounted_crane" : {
"checkbox" : false,
"string" : "",
"num" : 0
},
"central_lubrication" : false,
"right_hand_drive" : false,
"mega" : false,
"toolbox" : false,
"adr" : false,
"hydraulics" : false,
"rto" : false,
"fuel" : "",
"euro" : 0,
"engine_type" : "",
"engine_volume" : 0,
"turbo" : false,
"intercooler" : false,
"injector" : false,
"fuel_tanks" : {
"count" : 0,
"tank1" : 0,
"tank2" : 0,
"tank3" : 0,
"overall" : 0
},
"gearbox_type" : "",
"gears_number" : "",
"berth" : 0,
"coolers" : [ ],
"security" : [ ],
"exterior" : [ ],
"mirrors_glass" : [ ],
"headlight" : [ ],
"type_of_suspension" : "",
"axles_number" : 0,
"suspension_options" : [ ],
"wheel_formula" : "",
"axes_make" : "",
"wheelbase" : 0,
"brake_options" : [ ],
"rubber" : {
"brakes" : "",
"rest_rpc" : 0,
"rest_mm" : 0,
"size" : 0
},
"tire_size_on_the_axes" : {
"first_axis" : {
"brakes" : "",
"rest_rpc" : 0,
"rest_mm" : 0,
"size" : 0
},
"second_axis" : {
"brakes" : "",
"rest_rpc" : 0,
"rest_mm" : 0,
"size" : 0
},
"third_axis" : {
"brakes" : "",
"rest_rpc" : 0,
"rest_mm" : 0,
"size" : 0
}
},
"spare_wheel" : [ ],
"year" : {
"month" : "",
"year" : 0
},
"first_registration" : {
"month" : "",
"year" : 0
},
"mileage" : 0,
"color_metallic" : {
"color" : "",
"metallic" : false
},
"fuel_consumption_l_100km" : 0,
"engine_make" : "",
"cabin_type" : "",
"dimensions" : {
"heigth" : 4,
"width" : 3,
"length" : 2
},
"mark_model" : {
"model" : "eqwwqe",
"mark" : "avia_daewoo"
},
"aut_heater" : "",
"gearbox_make_model" : {
"model" : "",
"mark" : ""
},
"system_info" : {
"price" : 12,
"userId" : 227520,
"date" : 1389218400000,
"photos" : [ ],
"sub_goods_refs" : [ ],
"main_goods_ref" : "",
"premium" : false,
"extend_date" : 1389391200000,
"expire_date" : 1394575200000,
"removed" : false
},
"price" : {
"price" : 12,
"vat_percent" : 0,
"currency" : "uah"
},
"description" : {
"lng" : "ru",
"text" : "sadzxczxc"
},
"place" : {
"country" : "6",
"area" : "127",
"default" : false
},
"_model" : "$category_5200b707916c1489c4487bbd"
}
@Andro999b
Please try release 1.7.4 just released.
BTW - this release has been tested on ES 0.90.10
only.
include_fields ignore all the nested fields, except for the latest. For instance I use this code for creating RIVER.
But only "place.default", "system_info.price" will get to the search index
MongoDB version 2.4.6 Elasticsearch vesion 0.90.10 plugin version 1.7.3