|
7 | 7 |
|
8 | 8 | coming[7.2.0] |
9 | 9 |
|
| 10 | +//// |
| 11 | +
|
| 12 | +. Choose the index that contains the data you want to pivot. In this example, |
| 13 | +we'll use the {kibana-ref}/add-sample-data.html[{kib} sample data], in |
| 14 | +particular, the Sample eCommerce orders. |
| 15 | +. Define pivot |
| 16 | +.. Query (query pattern: “fieldname”:”value”) - optional |
| 17 | +.. Group by |
| 18 | +.. Aggregations |
| 19 | +. Job details |
| 20 | +.. Job ID |
| 21 | +.. Target Index |
| 22 | +.. Create index pattern selector |
| 23 | +. (Optional) Preview your {dataframe-transform}. |
| 24 | ++ |
| 25 | +-- |
| 26 | +[source,js] |
| 27 | +-------------------------------------------------- |
| 28 | +POST _data_frame/transforms/_preview |
| 29 | +{ |
| 30 | + "source": { |
| 31 | + "index": "kibana_sample_data_ecommerce" |
| 32 | + }, |
| 33 | + "pivot": { |
| 34 | + "group_by": { |
| 35 | + "customer_id": { |
| 36 | + "terms": { |
| 37 | + "field": "customer_id" |
| 38 | + } |
| 39 | + } |
| 40 | + }, |
| 41 | + "aggregations": { |
| 42 | + "max_price": { |
| 43 | + "max": { |
| 44 | + "field": "taxful_total_price" |
| 45 | + } |
| 46 | + } |
| 47 | + } |
| 48 | + } |
| 49 | +} |
| 50 | +-------------------------------------------------- |
| 51 | +// CONSOLE |
| 52 | +// TEST[skip:set up sample data] |
| 53 | +-- |
| 54 | +. Create a {dataframe-transform}. |
| 55 | ++ |
| 56 | +-- |
| 57 | +For example: |
| 58 | +
|
| 59 | +[source,js] |
| 60 | +-------------------------------------------------- |
| 61 | +PUT _data_frame/transforms/ecommerce_transform |
| 62 | +{ |
| 63 | + "source": { |
| 64 | + "index": "kibana_sample_data_ecommerce", |
| 65 | + "query": { |
| 66 | + "term": { |
| 67 | + "geoip.continent_name": { |
| 68 | + "value": "Asia" |
| 69 | + } |
| 70 | + } |
| 71 | + } |
| 72 | + }, |
| 73 | + "dest": { |
| 74 | + "index": "kibana_sample_data_ecommerce_transform" |
| 75 | + }, |
| 76 | + "pivot": { |
| 77 | + "group_by": { |
| 78 | + "customer_id": { |
| 79 | + "terms": { |
| 80 | + "field": "customer_id" |
| 81 | + } |
| 82 | + } |
| 83 | + }, |
| 84 | + "aggregations": { |
| 85 | + "max_price": { |
| 86 | + "max": { |
| 87 | + "field": "taxful_total_price" |
| 88 | + } |
| 89 | + } |
| 90 | + } |
| 91 | + }, |
| 92 | + "description": "Maximum priced ecommerce data by customer_id in Asia" |
| 93 | +} |
| 94 | +-------------------------------------------------- |
| 95 | +// CONSOLE |
| 96 | +// TEST[skip:setup kibana sample data] |
| 97 | +-- |
| 98 | +.. Start {dataframe-transform}. |
| 99 | ++ |
| 100 | +-- |
| 101 | +[source,js] |
| 102 | +-------------------------------------------------- |
| 103 | +POST _data_frame/transforms/ecommerce_transform/_start |
| 104 | +-------------------------------------------------- |
| 105 | +// CONSOLE |
| 106 | +// TEST[skip:setup kibana sample data] |
| 107 | +-- |
| 108 | +. Progress bar |
| 109 | +. (Options to move further: Data frame jobs - job management, Discover - explore data frame pivot) Link to “job management” and “Discover”. |
| 110 | +. Stop the {dataframe-transform}. |
| 111 | ++ |
| 112 | +-- |
| 113 | +[source,js] |
| 114 | +-------------------------------------------------- |
| 115 | +POST _data_frame/transforms/ecommerce_transform/_stop |
| 116 | +-------------------------------------------------- |
| 117 | +// CONSOLE |
| 118 | +// TEST[skip:set up kibana samples] |
| 119 | +-- |
| 120 | +. Delete the {dataframe-transform}. |
| 121 | ++ |
| 122 | +-- |
| 123 | +[source,js] |
| 124 | +-------------------------------------------------- |
| 125 | +DELETE _data_frame/transforms/ecommerce_transform |
| 126 | +-------------------------------------------------- |
| 127 | +// CONSOLE |
| 128 | +// TEST[skip:setup kibana sample data] |
| 129 | +-- |
| 130 | +//// |
0 commit comments