Description
Aggregate logical occurrence totals by exact value, not by number of encoded records.
Run-length records represent repeated observations without expanding them. Each record pairs a literal string value with a positive exact integer length; neighboring equal values can be valid but noncompact. Expanded offsets count observations rather than run records, and half-open ranges include their start while excluding their end.
Aggregate logical occurrence totals by exact value, not by number of encoded records.
When to use this tool
Use this tool to aggregate logical occurrence totals by exact value, not by number of encoded records.
How to use the tool and how it works
- Enter runsJson using the definitions below. Serialize JSON text fields in the decoded shape shown below.
- Run the operation. Resolve input-format errors before interpreting an output.
- Read result.totals, using the stated boundary, ordering, sign and absence conventions.
Group exact run values in first-appearance order and sum each group’s positive exact lengths into decimal-text totals.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| runsJson | JSON array of {value,length} records: literal string value and positive exact decimal-string length. | Text, at most 8,192 UTF-16 code units; narrower grammar/range rules also apply. |
These decoded structures show the examples inside JSON text fields. Supply their serialized JSON strings as input.
{
"runsJson": [
{
"value": "a",
"length": "3"
},
{
"value": "a",
"length": "2"
},
{
"value": "b",
"length": "4"
}
]
} | Output field | Interpretation |
|---|---|
| result | Object containing the fields below. |
| result.totals | First-seen exact values with summed expanded lengths as decimal text. |
{
"input": {
"runsJson": "[{\"value\": \"a\", \"length\": \"3\"}, {\"value\": \"a\", \"length\": \"2\"}, {\"value\": \"b\", \"length\": \"4\"}]"
},
"output": {
"result": {
"totals": [
{
"value": "a",
"length": "5"
},
{
"value": "b",
"length": "4"
}
]
}
}
} Limitations and assumptions
- Grouping combines separated occurrences statistically without changing the original run sequence.
- Run records contain string value and positive length as exact decimal integer text. Lengths and offset inputs support up to 256 decimal digits before operation-specific checks; results use decimal text and do not expand the repeated observations.
- Every declared outer field is required and unknown outer fields are rejected. Strings and JSON text have size limits, lists are bounded to 128 entries, and JSON nesting/node counts are bounded. Tighter operation-specific bounds stated above take precedence.
- Ordinary numeric outputs must be finite and within safe-integer magnitude. Exact large lengths/counts use decimal strings. Original record indexes and code-unit positions are zero-based; span ends are exclusive unless stated otherwise.
Alternative or Complementary methods
Use compaction for a canonical adjacent-run layout and boundary-aware operations when provenance matters. Retain exact decimal lengths rather than converting long totals to floating-point numbers.
References
Similar or alternative tools
- Run Length Record Value First Offset
Run lengths are positive exact integer decimal strings with literal string values, never expanded; find the first logical offset of a literal value, retaining null when absent rather than using a sentinel position.
- Run Length Record Value Map
Run lengths are positive exact integer decimal strings with literal string values, never expanded; map explicit literal values by a unique-key caller map and compact newly adjacent equal runs; mapping may deliberately merge values.