transformations:constructjson
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| transformations:constructjson [2020/01/11 15:55] – [Nesting JSON objects] dmitry | transformations:constructjson [2025/02/10 18:55] (current) – revise to 2025 format craigt | ||
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| - | ===== Construct | + | {{ transformations: |
| + | ======CONSTRUCT | ||
| + | Category: Transform / Web\\ | ||
| - | This action constructs a [[https:// | + | \\ |
| - | * Object per row, array from objects | + | =====Description===== |
| - | * Array per column | + | This action constructs a [[https:// |
| - | A constructed | + | \\ |
| + | =====Action settings===== | ||
| + | ==== Mode: " | ||
| + | In this mode, each row of the source dataset is used to construct a flat JSON object | ||
| - | ==== Mode " | + | If the source dataset |
| - | In this mode, each row of the source dataset | + | |
| - | ^ Name ^ Kingdom | + | \\ |
| - | | Rabbit |Animalia | Chordata | Vertebrata | Mammalia | + | ==== Mode: "Array per column" |
| + | In this mode, the source dataset is converted into a new dataset in which values of each column are rolled up into a JSON array. See Example #3, below. | ||
| - | is constructed | + | \\ |
| + | =====Remarks===== | ||
| + | ====Data type conversion==== | ||
| + | EasyMorph data types are converted to JSON types as follows: | ||
| + | |||
| + | ^ EasyMorph ^ Example ^ JSON ^ Example ^ | ||
| + | | Text | ABC | string | ||
| + | | Number | ||
| + | | Number (formatted as date) | ||
| + | | Boolean | ||
| + | | Empty | ||
| + | | Error | #Division by zero | Fails to convert | ||
| + | |||
| + | Note that the action fails if the source dataset contains an error value. | ||
| + | |||
| + | \\ | ||
| + | ====Nesting JSON objects==== | ||
| + | EasyMorph automatically detects if a text value is already a JSON object or a JSON array. In this case, the text value is inserted verbatim, i.e. **without** wrapping in double-quotes. This feature allows creating complex hierarchical JSON objects that nest other JSON objects. For instance, converting the table below: | ||
| + | |||
| + | ^ Track ^ Country | ||
| + | | Circuit Gilles Villeneuve | ||
| + | |||
| + | would produce | ||
| + | |||
| + | < | ||
| + | { | ||
| + | " | ||
| + | " | ||
| + | " | ||
| + | " | ||
| + | " | ||
| + | " | ||
| + | " | ||
| + | }, | ||
| + | " | ||
| + | } | ||
| + | </ | ||
| + | Notice that " | ||
| + | |||
| + | \\ | ||
| + | =====Examples===== | ||
| + | ====Example #1==== | ||
| + | > | ||
| + | |||
| + | ===Before (source table)=== | ||
| + | ^ Name ^ Kingdom | ||
| + | | Rabbit |Animalia | Chordata | Mammalia | ||
| + | ===After (result table)=== | ||
| < | < | ||
| { | { | ||
| Line 20: | Line 72: | ||
| " | " | ||
| " | " | ||
| - | " | ||
| " | " | ||
| - | " | ||
| - | " | ||
| } | } | ||
| </ | </ | ||
| - | If the source dataset contains multiple rows, they will be converted into an array of JSON objects where each object corresponds to one row. Example: | + | ===Action parameters=== |
| + | >Mode: | ||
| + | \\ | ||
| + | ====Example #2==== | ||
| + | >Create a flat JSON object from the multi-row tabular dataset. | ||
| + | |||
| + | ===Before (source table)=== | ||
| ^ ID ^ Name ^ | ^ ID ^ Name ^ | ||
| | 1 | Apple | | | 1 | Apple | | ||
| | 2 | Orange | | | 2 | Orange | | ||
| - | Result: | + | ===After (result table)=== |
| < | < | ||
| [ | [ | ||
| Line 45: | Line 100: | ||
| } | } | ||
| ] | ] | ||
| - | | ||
| </ | </ | ||
| - | ==== Mode "Array per column" | + | ===Action parameters=== |
| - | In this mode the source dataset is converted into a new dataset in which values of each column are rolled up into a JSON array. For instance the table from the example above would be converted into the following table: | + | >Mode: |
| + | \\ | ||
| + | ====Example #3==== | ||
| + | >Convert the source table into a dataset in which values of each column are rolled up into a JSON array. | ||
| + | ===Before (source table)=== | ||
| + | ^ ID ^ Name ^ | ||
| + | | 1 | Apple | | ||
| + | | 2 | Orange | | ||
| + | |||
| + | ===After (result table)=== | ||
| ^ ID ^ Name ^ | ^ ID ^ Name ^ | ||
| | [1,2] | [Apple, | | [1,2] | [Apple, | ||
| + | ===Action parameters=== | ||
| + | >Mode: Array per column | ||
| - | ==== Data type conversion ==== | ||
| - | EasyMorph data types are converted to JSON types as follows: | ||
| - | ^ EasyMorph ^ Example ^ JSON ^ Example ^ | ||
| - | | Text | ABC | string | ||
| - | | Number | ||
| - | | Number (formatted as date) | ||
| - | | Boolean | ||
| - | | Empty | ||
| - | | Error | #Division by zero | Fails to convert | ||
| - | Note that the action fails if the source dataset contains an error value. | + | \\ |
| - | + | =====Community examples===== | |
| - | ==== Nesting JSON objects | + | * [[https:// |
| - | EasyMorph automatically detects if a text value is already a JSON object or a JSON array. In this case, the text value is inserted verbatim, i.e. **without** wrapping in double quotes. This feature allows creating complex hierarchical | + | |
| - | + | | |
| - | ^ Track ^ Country | + | * [[https://community.easymorph.com/ |
| - | | Circuit Gilles Villeneuve | + | * [[https:// |
| - | + | ||
| - | would produce the following JSON: | + | |
| - | < | + | \\ |
| - | { | + | ===== See also ===== |
| - | " | + | |
| - | " | + | |
| - | " | + | |
| - | " | + | |
| - | " | + | |
| - | " | + | |
| - | " | + | |
| - | }, | + | |
| - | " | + | |
| - | } | + | |
| - | </ | + | |
| - | Notice that " | + | |
| - | + | ||
| - | ==== See also ==== | + | |
| - | * [[https:// | + | |
| * [[transformations: | * [[transformations: | ||
| - | * [[syntax: | + | * [[syntax: |
transformations/constructjson.1578776113.txt.gz · Last modified: 2020/01/11 15:55 by dmitry