Merge remote-tracking branch 'origin/main' into fix/propagate-tablecell-types

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Michele Dolfi 2024-09-17 19:31:59 +02:00
commit a136e6b9f7
3 changed files with 376 additions and 329 deletions

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@ -24,7 +24,7 @@ packages = [{include = "docling"}]
python = "^3.10"
pydantic = "^2.0.0"
docling-core = "^1.3.0"
docling-ibm-models = "^1.1.7"
docling-ibm-models = "^1.2.0"
deepsearch-glm = "^0.21.1"
filetype = "^1.2.0"
pypdfium2 = "^4.30.0"

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@ -1776,6 +1776,10 @@ An important design and implementation consideration is the fact that RCAC colum
An example of this situation is shown in Figure 6-1. However, note that aggregate functions (a form of grouping) are based on masked values.
SELECT
FROM GROUP BY ORDER BY
## Without RCAC Masking
## With RCAC Masking
@ -1808,6 +1812,12 @@ Figure 6-1 Timing of column masking
| **** **** **** 1234 | 750.33 |
| **** **** **** 0001 | 10.00 |
CREDIT_CARD_NUMBER, SUM(AMOUNT) AS TOTAL TRANSACTIONS
CREDIT_CARD_NUMBER
CREDIT_CARD_NUMBER;
Conversely, field procedure masking causes the column values to be changed (that is, masked) and stored in the row. When the table is queried and the masked columns are referenced, the masked data is used for any local selection, joining, grouping, or ordering operations. This situation can have a profound effect on the query's final result set and not just on the column values that are returned. Field procedure masking occurs when the column values are read from disk before any query processing. RCAC masking occurs when the column values are returned to the application after query processing. This difference in behavior is shown in Figure 6-2.
Note: Column masks can influence an SQL INSERT or UPDATE . For example, you cannot insert or update a table with column access control activated with masked data generated from an expression within the same statement that is based on a column with a column mask.