2022-07-24 20:13:15 +00:00
										 
									 
								 
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								sidebar_position: 11
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								title: NoSQL Data Stores
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								So-called "Schema-less" databases allow for arbitrary keys and values within the
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								entries in the database.  K/V stores and Objects add additional restrictions.
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								:::note
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								These data stores are capable of storing structured data.  Those use cases are
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								covered in the [Database demo](./database).
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								:::
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											2022-07-30 22:17:34 +00:00
										 
									 
								 
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								## Arbitrary Data to Spreadsheets
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											2022-07-24 20:13:15 +00:00
										 
									 
								 
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								There is no natural way to translate arbitrarily shaped schemas to worksheets
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								in a workbook.  One common trick is to dedicate one worksheet to holding named
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								keys.  For example, considering the JS object:
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								```json
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								{
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								  "title": "SheetDB",
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								  "metadata": {
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								    "author": "SheetJS",
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								    "code": 7262
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								  },
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								  "data": [
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								    { "Name": "Barack Obama", "Index": 44 },
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								    { "Name": "Donald Trump", "Index": 45 },
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								  ]
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								}
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								```
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								A dedicated worksheet should store the one-off named values:
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								```
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								XXX|        A        |    B    |
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								---+-----------------+---------+
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								 1 | Path            | Value   |
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								 2 | title           | SheetDB |
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								 3 | metadata.author | SheetJS |
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								 4 | metadata.code   |    7262 |
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								```
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											2022-07-30 22:17:34 +00:00
										 
									 
								 
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								## Data Stores
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								### Redis
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								Redis has 5 core data types: "String", List", "Set", "Sorted Set", and "Hash".
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								Since the keys and values are limited to simple strings (and numbers), it is
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								possible to store complete databases in a single worksheet.
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								<details open><summary><b>Sample Mapping</b> (click to hide)</summary>
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								The first row holds the data type and the second row holds the property name.
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								Strings can be stored in a unified String table. The first column holds keys
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								and the second column holds values:
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								```
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								XXX|    A    |   B   |
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								---+---------+-------+
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								 1 | Strings |       |
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								 2 |         |       |
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								 3 | Hello   | World |
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								 4 | Sheet   | JS    |
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								```
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								Lists and Sets are unidimensional and can be stored in their own columns.  The
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								second row holds the list name:
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								```
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								XXX|    C    |   D   |
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								---+---------+-------+
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								 1 | List    | Set   |
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								 2 | List1   | Set1  |
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								 3 | List1V1 | Set1A |
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								 4 | List1V2 | Set1B |
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								```
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								Sorted Sets have an associated score which can be stored in the second column:
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								```
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								XXX|    E    | F |
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								---+---------+---+
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								 1 | Sorted  |   |
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								 2 | ZSet1   |   |
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								 3 | Key1    | 1 |
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								 4 | Key2    | 2 |
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								```
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								Hashes are stored like the string table, with key and value columns in order:
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								```
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								XXX|   G   |   H   |
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								---+-------+-------+
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								 1 | Hash  |       |
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								 2 | Hash1 |       |
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								 3 | Key1  | Val1  |
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								 4 | Key2  | Val2  |
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								```
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								</details>
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