Commit b6a901f
authored
Release v0.11.3 (#2209)
## Analyzer
- Optimized SAS Analyzer performance by consolidating regex operations,
delivering roughly a 7x speed improvement for large-scale SAS analysis
workloads.
- Added support for new SSIS components Microsoft.Pivot,
Microsoft.UnPivot, and ExtensibleFileTask, broadening coverage for SSIS
package migrations analysis.
## Converters – Morpheus
- Core
- Significantly improved ANTLR parsing performance by merging grammars,
refactoring ambiguous rules, and updating the Scala integration and
build pipeline for the new grammar workflow.
- Allowed the STREAMS token to be used as an identifier so patterns like
SELECT * FROM streams.foo.bar now parse correctly in Snowflake-oriented
SQL.
- Updated the error reporting to align to the following:
- - `Info`: no error, the input was fully translated
- `Hint`: the input was fully translated but some irrelevant bits have
been elided
- `Warning`: the input was translated but with unsupported bits
- `Error`: the input couldn't be translated
- MSSQL / T-SQL / SQL Server
- Added full support for SQL Server T-SQL CREATE INDEX and table-level
index directives, parsing them into a new index IR and translating to
CLUSTER BY AUTO in Databricks SQL so index statements are no longer
rejected.
- Extended grammar and parsing to handle T-SQL computed columns,
QUOTENAME calls, GROUP options in query hints, DROP INDEX statements,
and additional keywords like PARAMETERS, STREAMS, PROCEDURES, and VIEWS,
improving coverage of real-world T-SQL workloads.
- Improved DML parsing so INSERT targets use proper dot identifiers
instead of expression-like forms, preventing misinterpretation as
function calls and preserving case sensitivity where required.
- Re-enabled and migrated T-SQL functional tests to a YAML-based format,
expanding automated coverage and keeping still-failing cases isolated
for follow-up.
## Converters – BladeBridge
- MSSQL / SSIS / T-SQL
- Resolved issues with column names containing single quotes and
standardized DATEADD and DATEDIFF function patterns to improve
compatibility across target SQL dialects.
- DataStage
- Implemented mapping for the JulianDayFromDate function with
corresponding tests, extending DataStage function coverage in the
converter.
- Enhanced DataStage Spark and workflow handling by adding Databricks
cluster sections, improving widget default handling, and mapping
TransformStringToDate and spark.sqltemplate attributes for smoother
Spark migrations.
## Reconcile
- Improved reconciliation hash query generation to guarantee consistent
column ordering across SQL dialects, preventing false hash mismatches
when column names are substrings of each other.
- Reverted the Oracle reconcile implementation to use MD5 via
DBMS_CRYPTO.HASH with RAWTOHEX, restoring compatibility with Oracle 11
while keeping the updated QueryBuilder engine handling..
## Documentation
- Added practical details about how to extend BladeBridge configurations
Dependency updates:
* Bump actions/checkout from 5 to 6
([#2158](#2158)).1 parent c2c0bb0 commit b6a901f
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