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Saurabh Badenkal
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Proven: 15-table SQL JOINs work (no depth limit, unlike OData's 10-level cap)
Live-tested on Aurora VM: - 9-table: 2.14s PASS - 10-table: 0.69s PASS (= OData limit) - 11-table: 0.56s PASS (BEYOND OData limit) - 12-table: 0.66s PASS - 13-table: 0.63s PASS - 15-table: 0.63s PASS (no degradation!) Updated sql_examples.py summary: 15+ tables (no depth limit) Updated SQL vs OData comparison table.
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examples/advanced/sql_examples.py

Lines changed: 7 additions & 7 deletions
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@@ -999,7 +999,7 @@ def _run_examples(client):
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+-------------------------------+------------------------+------------------------+
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| Read data | YES | YES |
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| Write data | NO (read-only) | YES (create/update/del)|
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| JOIN depth | 8+ tables (no limit) | $expand 10-level max |
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| JOIN depth | 15+ tables (no limit) | $expand 10-level max |
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| JOIN types | INNER, LEFT | $expand (single-valued)|
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| Aggregates (COUNT, SUM, etc.) | YES (server-side) | Limited ($apply) |
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| GROUP BY | YES (server-side) | Via $apply (complex) |
@@ -1079,7 +1079,7 @@ def _run_examples(client):
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+-------------------------------+----------+----------------------------------------+
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| SELECT col1, col2 | YES | Use LogicalName (lowercase) |
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| SELECT * | YES (*) | SDK auto-expands via list_columns() |
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| WHERE =, !=, >, <, LIKE, IN | YES | |
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| WHERE =, !=, >, <, LIKE, IN | YES | |
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| AND, OR, parentheses | YES | Full boolean logic |
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| NOT IN, NOT LIKE | YES | |
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| IS NULL, IS NOT NULL, BETWEEN | YES | |
@@ -1090,7 +1090,7 @@ def _run_examples(client):
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| DISTINCT / DISTINCT TOP | YES | Works with JOINs too |
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| COUNT, SUM, AVG, MIN, MAX | YES | All 5 standard aggregates |
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| GROUP BY | YES | Server-side grouping |
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| INNER JOIN | YES | 8+ tables tested (no depth limit) |
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| INNER JOIN | YES | 15+ tables tested (no depth limit) |
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| LEFT JOIN | YES | |
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| Self JOIN | YES | Same table with different aliases |
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| SQL -> DataFrame | YES | client.dataframe.sql(query) |
@@ -1099,10 +1099,10 @@ def _run_examples(client):
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| Audit trail (createdby, etc.) | YES | JOIN to systemuser |
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| SQL read -> DF write-back | YES | dataframe.sql() + .update()/.create() |
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| SQL column discovery | YES | query.sql_columns() / sql_select() |
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| SQL JOIN discovery | YES | query.sql_joins() / sql_join() |
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| OData column discovery | YES | query.odata_select() |
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| OData expand discovery | YES | query.odata_expands() / odata_expand() |
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| OData bind builder | YES | query.odata_bind() |
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| SQL JOIN discovery | YES | query.sql_joins() / sql_join() |
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| OData column discovery | YES | query.odata_select() |
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| OData expand discovery | YES | query.odata_expands() / odata_expand() |
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| OData bind builder | YES | query.odata_bind() |
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+-------------------------------+----------+----------------------------------------+
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| HAVING | NO | Filter before GROUP BY |
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| Subqueries / CTE | NO | Chain multiple SQL calls |

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