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Subrata (subrata-ms) · 2026-04-03T06:43:52Z

Work Item / Issue Reference

AB#43177

GitHub Issue: #468

Summary

This pull request updates the default handling of SQL CHAR/VARCHAR columns to use UTF-16 (wide character) encoding instead of UTF-8, primarily to address encoding mismatches on Windows and ensure consistent Unicode decoding. The changes span the connection, cursor, and C++ binding layers, and update related tests to reflect the new default behavior.

Default Encoding and Decoding Changes:

The default decoding for SQL CHAR columns is now set to use "utf-16le" encoding and the SQL_WCHAR ctype, replacing the previous "utf-8"/SQL_CHAR defaults. This avoids issues where Windows ODBC drivers return raw bytes in the server's native code page, which may not decode as UTF-8. (mssql_python/connection.py, mssql_python/connection.pyR264-R271)
All cursor fetch methods (fetchone, fetchmany, fetchall) are updated to request UTF-16 decoding and pass the correct ctype when fetching CHAR data, ensuring consistent behavior across platforms. (mssql_python/cursor.py, [1] [2] [3]

C++ Binding and Processing Updates:

The ColumnInfoExt struct now tracks whether wide character (UTF-16) fetching is used for a column, and the ProcessChar function is updated to handle both wide and narrow character paths, decoding appropriately based on the new setting. (mssql_python/pybind/ddbc_bindings.h, [1] [2] [3]

Test Adjustments:

Tests are updated to expect "utf-16le" and SQL_WCHAR as the default decoding settings for SQL_CHAR columns, and to validate the new default behavior. (tests/test_013_encoding_decoding.py, [1] [2] [3]

github-actions · 2026-04-03T07:43:00Z

📊 Code Coverage Report

🔥 Diff Coverage 80%	🎯 Overall Coverage 79%	📈 Total Lines Covered: `6902` out of `8720` 📁 Project: `mssql-python`

Diff Coverage

Diff: main...HEAD, staged and unstaged changes

mssql_python/connection.py (100%)
mssql_python/pybind/ddbc_bindings.cpp (83.0%): Missing lines 2066,3416-3421,3432-3443,3449-3454,3521-3522,3524-3525,3538-3541,3606-3607,3609-3610,3623-3626,5000-5002,5260-5261,5311-5313,5614-5615
mssql_python/pybind/ddbc_bindings.h (50.0%): Missing lines 844-853,859-863

Summary

Total: 331 lines
Missing: 66 lines
Coverage: 80%

mssql_python/pybind/ddbc_bindings.cpp

Lines 2062-2070

  2062                         size_t chunkBytes = DAE_CHUNK_SIZE;
  2063                         while (offset < totalBytes) {
  2064                             size_t len = std::min(chunkBytes, totalBytes - offset);
  2065 
! 2066                             rc = putData((SQLPOINTER)(dataPtr + offset), static_cast<SQLLEN>(len));
  2067                             if (!SQL_SUCCEEDED(rc)) {
  2068                                 LOG("SQLExecute: SQLPutData failed for "
  2069                                     "SQL_C_CHAR chunk - offset=%zu",
  2070                                     offset, totalBytes, len, rc);

Lines 3412-3425

  3412                                     "length=%lu",
  3413                                     i, (unsigned long)numCharsInData);
  3414                             } else {
  3415                                 // Buffer too small, fallback to streaming
! 3416                                 LOG("SQLGetData: CHAR column %d (WCHAR path) data "
! 3417                                     "truncated, using streaming LOB",
! 3418                                     i);
! 3419                                 row.append(FetchLobColumnData(hStmt, i, SQL_C_WCHAR, true, false,
! 3420                                                               "utf-16le"));
! 3421                             }
  3422                         } else if (dataLen == SQL_NULL_DATA) {
  3423                             LOG("SQLGetData: Column %d is NULL (CHAR via WCHAR)", i);
  3424                             row.append(py::none());
  3425                         } else if (dataLen == 0) {

Lines 3428-3447

  3428                             // Driver cannot report total length up front; this is
  3429                             // NOT a NULL value. Fall back to streaming via
  3430                             // FetchLobColumnData (repeated SQLGetData chunks) so
  3431                             // we don't silently lose data.
! 3432                             LOG("SQLGetData: SQL_NO_TOTAL for column %d (CHAR via WCHAR), "
! 3433                                 "streaming via FetchLobColumnData",
! 3434                                 i);
! 3435                             row.append(
! 3436                                 FetchLobColumnData(hStmt, i, SQL_C_WCHAR, true, false, "utf-16le"));
! 3437                         } else if (dataLen < 0) {
! 3438                             LOG("SQLGetData: Unexpected negative data length "
! 3439                                 "for column %d - dataType=%d, dataLen=%ld",
! 3440                                 i, dataType, (long)dataLen);
! 3441                             ThrowStdException("SQLGetData returned an unexpected negative "
! 3442                                               "data length");
! 3443                         }
  3444                     } else {
  3445                         // Surface driver errors instead of silently returning NULL.
  3446                         // Returning py::none() here would be indistinguishable from
  3447                         // a genuine SQL NULL value to the Python caller and is a

Lines 3445-3458

  3445                         // Surface driver errors instead of silently returning NULL.
  3446                         // Returning py::none() here would be indistinguishable from
  3447                         // a genuine SQL NULL value to the Python caller and is a
  3448                         // data-integrity risk.
! 3449                         LOG_ERROR("SQLGetData: Error retrieving data for column %d "
! 3450                                   "(CHAR via WCHAR) - SQLRETURN=%d",
! 3451                                   i, ret);
! 3452                         ThrowStdException("SQLGetData failed for CHAR/VARCHAR column "
! 3453                                           "fetched as SQL_C_WCHAR");
! 3454                     }
  3455                 } else {
  3456                     // Allocate columnSize * 4 + 1 on ALL platforms (no #if guard).
  3457                     //
  3458                     // Why this differs from SQLBindColums / FetchBatchData:

Lines 3517-3529

  3517                             // Driver cannot report total length up front; this is
  3518                             // NOT a NULL value. Fall back to streaming via
  3519                             // FetchLobColumnData (repeated SQLGetData chunks) so
  3520                             // we don't silently lose data.
! 3521                             LOG("SQLGetData: SQL_NO_TOTAL for column %d (SQL_CHAR), "
! 3522                                 "streaming via FetchLobColumnData",
  3523                                 i);
! 3524                             row.append(FetchLobColumnData(hStmt, i, SQL_C_CHAR, false, false,
! 3525                                                           effectiveCharEnc));
  3526                         } else if (dataLen < 0) {
  3527                             LOG("SQLGetData: Unexpected negative data length "
  3528                                 "for column %d - dataType=%d, dataLen=%ld",
  3529                                 i, dataType, (long)dataLen);

Lines 3534-3545

  3534                         // Surface driver errors instead of silently returning NULL.
  3535                         // Returning py::none() here would be indistinguishable from
  3536                         // a genuine SQL NULL value to the Python caller and is a
  3537                         // data-integrity risk.
! 3538                         LOG_ERROR("SQLGetData: Error retrieving data for column %d "
! 3539                                   "(SQL_CHAR) - SQLRETURN=%d",
! 3540                                   i, ret);
! 3541                         ThrowStdException("SQLGetData failed for SQL_CHAR/VARCHAR column");
  3542                     }
  3543                 }
  3544                 break;
  3545             }

Lines 3602-3614

  3602                             // Driver cannot report total length up front; this is
  3603                             // NOT a NULL value. Fall back to streaming via
  3604                             // FetchLobColumnData (repeated SQLGetData chunks) so
  3605                             // we don't silently lose data.
! 3606                             LOG("SQLGetData: SQL_NO_TOTAL for column %d (NVARCHAR), "
! 3607                                 "streaming via FetchLobColumnData",
  3608                                 i);
! 3609                             row.append(
! 3610                                 FetchLobColumnData(hStmt, i, SQL_C_WCHAR, true, false, "utf-16le"));
  3611                         } else if (dataLen < 0) {
  3612                             LOG("SQLGetData: Unexpected negative data length "
  3613                                 "for column %d (NVARCHAR) - dataLen=%ld",
  3614                                 i, (long)dataLen);

Lines 3619-3630

  3619                         // Surface driver errors instead of silently returning NULL.
  3620                         // Returning py::none() here would be indistinguishable from
  3621                         // a genuine SQL NULL value to the Python caller and is a
  3622                         // data-integrity risk.
! 3623                         LOG_ERROR("SQLGetData: Error retrieving data for column %d "
! 3624                                   "(NVARCHAR) - SQLRETURN=%d",
! 3625                                   i, ret);
! 3626                         ThrowStdException("SQLGetData failed for NVARCHAR column");
  3627                     }
  3628                 }
  3629                 break;
  3630             }

Lines 4996-5006

  4996                 arrowColumnProducer->ptrValueBuffer = arrowColumnProducer->bitVal.get();
  4997                 break;
  4998             default:
  4999                 std::ostringstream errorString;
! 5000                 errorString << "Unsupported data type for Arrow batch fetch for column - "
! 5001                             << columnName.c_str() << ", Type - " << dataType << ", column ID - "
! 5002                             << (i + 1);
  5003                 LOG(errorString.str().c_str());
  5004                 ThrowStdException(errorString.str());
  5005                 break;
  5006         }

Lines 5256-5265

  5256                                                  buffers.datetimeoffsetBuffers[idxCol].data(),
  5257                                                  sizeof(DateTimeOffset),
  5258                                                  buffers.indicators[idxCol].data());
  5259                             if (!SQL_SUCCEEDED(ret)) {
! 5260                                 LOG("Error fetching SS_TIMESTAMPOFFSET data for column %d",
! 5261                                     idxCol + 1);
  5262                                 return ret;
  5263                             }
  5264                             break;
  5265                         }

Lines 5307-5317

  5307                     nullCounts[idxCol] += 1;
  5308                     continue;
  5309                 } else if (indicator < 0) {
  5310                     // Negative value is unexpected, log column index, SQL type & raise exception
! 5311                     LOG("Unexpected negative data length. Column ID - %d, SQL Type - %d, Data "
! 5312                         "Length - %lld",
! 5313                         idxCol + 1, dataType, (long long)indicator);
  5314                     ThrowStdException("Unexpected negative data length.");
  5315                 }
  5316                 auto dataLen = static_cast<uint64_t>(indicator);

Lines 5610-5619

  5610         arrowSchemaBatchCapsule =
  5611             py::capsule(arrowSchemaBatch.get(), "arrow_schema", [](void* ptr) {
  5612                 auto arrowSchema = static_cast<ArrowSchema*>(ptr);
  5613                 if (arrowSchema->release) {
! 5614                     arrowSchema->release(arrowSchema);
! 5615                 }
  5616                 delete arrowSchema;
  5617             });
  5618     } catch (...) {
  5619         arrowSchemaBatch->release(arrowSchemaBatch.get());

mssql_python/pybind/ddbc_bindings.h

  840                 // Decode failed — fall back to returning the raw UTF-16LE bytes
  841                 // (consistent with the narrow-char path below and with
  842                 // FetchLobColumnData / SQLGetData_wrap which return raw bytes on
  843                 // decode failure instead of silently dropping data as None).
! 844                 PyErr_Clear();
! 845                 PyObject* pyBytes = PyBytes_FromStringAndSize(
! 846                     reinterpret_cast<const char*>(wcharData), numCharsInData * sizeof(SQLWCHAR));
! 847                 if (pyBytes) {
! 848                     PyList_SET_ITEM(row, col - 1, pyBytes);
! 849                 } else {
! 850                     PyErr_Clear();
! 851                     Py_INCREF(Py_None);
! 852                     PyList_SET_ITEM(row, col - 1, Py_None);
! 853                 }
  854             } else {
  855                 PyList_SET_ITEM(row, col - 1, pyStr);
  856             }
  857         } else {

  855                 PyList_SET_ITEM(row, col - 1, pyStr);
  856             }
  857         } else {
  858             // LOB / truncated: stream with SQL_C_WCHAR
! 859             PyList_SET_ITEM(row, col - 1,
! 860                             FetchLobColumnData(hStmt, col, SQL_C_WCHAR, true, false, "utf-16le")
! 861                                 .release()
! 862                                 .ptr());
! 863         }
  864         return;
  865     }
  866 
  867     // Original narrow-char path (charCtype == SQL_C_CHAR)

📋 Files Needing Attention

📉 Files with overall lowest coverage (click to expand)

mssql_python.pybind.logger_bridge.cpp: 59.2%
mssql_python.pybind.ddbc_bindings.h: 66.5%
mssql_python.row.py: 70.5%
mssql_python.pybind.logger_bridge.hpp: 70.8%
mssql_python.pybind.ddbc_bindings.cpp: 74.3%
mssql_python.pybind.connection.connection.cpp: 76.2%
mssql_python.__init__.py: 77.3%
mssql_python.ddbc_bindings.py: 79.6%
mssql_python.pybind.connection.connection_pool.cpp: 79.6%
mssql_python.connection.py: 85.2%

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Pull request overview

This PR changes the default decoding path for SQL CHAR/VARCHAR (ODBC SQL_CHAR) columns to fetch as wide characters (SQL_C_WCHAR) and decode as UTF-16LE, eliminating Windows-vs-Linux inconsistencies when server code pages contain bytes that are invalid UTF-8.

Changes:

Update connection defaults so SQL_CHAR decoding uses encoding="utf-16le" with ctype=SQL_WCHAR.
Plumb charCtype through cursor fetch APIs into the C++ bindings, enabling wide-char fetch for SQL_CHAR columns.
Expand/adjust encoding tests to validate new defaults and reproduce the CP1252 byte behavior.

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
`mssql_python/connection.py`	Changes default decoding settings for `SQL_CHAR` to UTF-16LE/`SQL_WCHAR`.
`mssql_python/cursor.py`	Passes updated decoding settings (encoding + ctype) into the native fetch functions.
`mssql_python/pybind/ddbc_bindings.cpp`	Adds `charCtype` plumb-through and implements `SQL_C_WCHAR` paths for `SQLGetData` and bound-column fetching.
`mssql_python/pybind/ddbc_bindings.h`	Extends per-column metadata and adds a wide-char branch in `ProcessChar`.
`tests/test_013_encoding_decoding.py`	Updates default expectations and adds Windows-focused regression tests for the CP1252 byte case.

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Sumit Sarabhai (sumitmsft)

Left some minor comments. Otherwise, I am ok with this change

…oft/mssql-python into subrata-ms/CP1252Encoding

Gaurav Sharma (bewithgaurav)

approving with test addition suggestions below.

logic lgtm. fix for #468 reproduces clean against sql2022, new TestIssue531Utf8CollationVarchar covers the SQL_C_WCHAR-default path on linux/macOS, all 185 encoding tests pass.

one ask before merge: the test coverage can be improved.

I went through each missing line. four python tests would close most of the gap:

fetchone with NULL + empty VARCHAR. covers null/empty arms in the new CHAR-via-WCHAR block.

cursor.execute("SELECT CAST(NULL AS VARCHAR(10)), CAST('' AS VARCHAR(10))")
row = cursor.fetchone()
assert row[0] is None and row[1] == ''

fetchone with VARCHAR(MAX) and NVARCHAR(MAX) carrying 50k+ non-ASCII. exercises wide-char LOB streaming in ProcessChar and SQLGetData_wrap. large LOBs also surface SQL_NO_TOTAL on the first chunk, picks up that branch incidentally.

payload = "caf \u00ad " * 6250  # ~50k
cursor.execute("CREATE TABLE #t (v VARCHAR(MAX) COLLATE Latin1_General_100_CI_AS_SC_UTF8, n NVARCHAR(MAX))")
cursor.execute("INSERT INTO #t VALUES (?, ?)", payload, payload)
cursor.execute("SELECT v, n FROM #t")
assert cursor.fetchone() == (payload, payload)

fetchone on a TEXT column. legacy LOB, deterministically returns SQL_NO_TOTAL on the first chunk. cheapest way to actually exercise that branch.

cursor.execute("CREATE TABLE #t (v TEXT)")
cursor.execute("INSERT INTO #t VALUES (?)", "A" * 100_000)
cursor.execute("SELECT v FROM #t")
assert cursor.fetchone()[0] == "A" * 100_000

fetchall on VARCHAR(N) with UTF-8 collation at size boundary. catches off-by-one in the wide-char path with non-BMP chars.

cursor.execute("CREATE TABLE #t (v VARCHAR(4) COLLATE Latin1_General_100_CI_AS_SC_UTF8)")
cursor.execute("INSERT INTO #t VALUES (N'\U0001F600')")
assert cursor.fetchall()[0][0] == '\U0001F600'

the decode-failure-to-bytes branch and the throw paths can't easily be hit from python. fine as a follow-up, or at minimum mark them as defensive in a code comment so a future refactor doesn't quietly strip them.

Subrata (subrata-ms) · 2026-05-12T11:50:28Z

approving with test addition suggestions below.

logic lgtm. fix for #468 reproduces clean against sql2022, new TestIssue531Utf8CollationVarchar covers the SQL_C_WCHAR-default path on linux/macOS, all 185 encoding tests pass.

one ask before merge: the test coverage can be improved.

I went through each missing line. four python tests would close most of the gap:

fetchone with NULL + empty VARCHAR. covers null/empty arms in the new CHAR-via-WCHAR block.
cursor.execute("SELECT CAST(NULL AS VARCHAR(10)), CAST('' AS VARCHAR(10))")
row = cursor.fetchone()
assert row[0] is None and row[1] == ''
fetchone with VARCHAR(MAX) and NVARCHAR(MAX) carrying 50k+ non-ASCII. exercises wide-char LOB streaming in ProcessChar and SQLGetData_wrap. large LOBs also surface SQL_NO_TOTAL on the first chunk, picks up that branch incidentally.
payload = "caf \u00ad " * 6250  # ~50k
cursor.execute("CREATE TABLE #t (v VARCHAR(MAX) COLLATE Latin1_General_100_CI_AS_SC_UTF8, n NVARCHAR(MAX))")
cursor.execute("INSERT INTO #t VALUES (?, ?)", payload, payload)
cursor.execute("SELECT v, n FROM #t")
assert cursor.fetchone() == (payload, payload)
fetchone on a TEXT column. legacy LOB, deterministically returns SQL_NO_TOTAL on the first chunk. cheapest way to actually exercise that branch.
cursor.execute("CREATE TABLE #t (v TEXT)")
cursor.execute("INSERT INTO #t VALUES (?)", "A" * 100_000)
cursor.execute("SELECT v FROM #t")
assert cursor.fetchone()[0] == "A" * 100_000
fetchall on VARCHAR(N) with UTF-8 collation at size boundary. catches off-by-one in the wide-char path with non-BMP chars.
cursor.execute("CREATE TABLE #t (v VARCHAR(4) COLLATE Latin1_General_100_CI_AS_SC_UTF8)")
cursor.execute("INSERT INTO #t VALUES (N'\U0001F600')")
assert cursor.fetchall()[0][0] == '\U0001F600'
the decode-failure-to-bytes branch and the throw paths can't easily be hit from python. fine as a follow-up, or at minimum mark them as defensive in a code comment so a future refactor doesn't quietly strip them.

Hi Gaurav Sharma (@bewithgaurav) , this suggested test does not improve code coverage ( ~1%). The lines that are flagged as not covered are hard to reach with current test framework. We need to add dummy/test code within the production code to create this scenario (one option). I tried that and it was looking pretty big change on the current coding framework.

Yannick Einsweiler (yan-hic) · 2026-05-12T19:15:18Z

I hit the same error using cursor.arrow() and .arrow_reader().

Can you add tests for these cases too, as the conn.setdecoding(_SQL_CHAR, "cp1252") workaround only affects DBAPI fetching.

Subrata (subrata-ms) · 2026-05-13T04:53:21Z

### Work Item / Issue Reference > [AB#45159](https://sqlclientdrivers.visualstudio.com/mssql-python/_sprints/taskboard/mssql-python%20Team/mssql-python/Rubidium/May%202026?workitem=45159) ------------------------------------------------------------------- ### Summary **Enhancements** - #548 — manylinux_2_28 build targets for RHEL 8 / glibc 2.28 - #542 — macOS universal2 wheel for Python 3.10 - #526 — UTF-16 string handling via simdutf - #528 — Optimized execute() hot path - #567 — Azure Linux installation docs **Bug Fixes** - #562 — Login failures now raise mssql_python exception instead of RuntimeError - #568 — GIL released during blocking SQLSetConnectAttr calls - #541 — GIL released during blocking ODBC statement/fetch/transaction calls - #560 — executemany RuntimeError when decimals change signs - #495 — Inconsistent CP1252 VARCHAR retrieval Windows vs Linux - #559 — BulkCopy empty string in NVARCHAR(MAX)/VARCHAR(MAX) (via mssql_py_core 0.1.4)

### Work Item / Issue Reference   > [AB#44922](https://sqlclientdrivers.visualstudio.com/c6d89619-62de-46a0-8b46-70b92a84d85e/_workitems/edit/44922)  > GitHub Issue: #553 ------------------------------------------------------------------- ### Summary  Due to #495, we can now request SQL_CHAR data as SQL_C_WCHAR, i.e. utf16le strings. Doing this for the arrow path ensures that arrow methods always return correct data no matter the encoding settings / locale / operating system. There does not seem to be any significant negative performance impact.  --------- Co-authored-by: subrata-ms <141804867+subrata-ms@users.noreply.github.com> Co-authored-by: gargsaumya <saumyagarg.100@gmail.com>

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Subrata (subrata-ms) and others added 2 commits April 3, 2026 12:32

Merge branch 'main' into subrata-ms/CP1252Encoding

8817007

code fix for linux based system

597ee4c

Subrata (subrata-ms) marked this pull request as ready for review April 3, 2026 08:10

Subrata (subrata-ms) requested review from Copilot, gargsaumya and Sumit Sarabhai (sumitmsft) April 3, 2026 08:10

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Subrata (subrata-ms) mentioned this pull request Apr 3, 2026

FIX: Inconsistent retrieval of CP1252 encoded data in VARCHAR columns - Windows vs. Linux #468 #478

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Subrata (subrata-ms) and others added 4 commits May 6, 2026 20:21

Merge branch 'main' into subrata-ms/CP1252Encoding

fcf88c0

Merge branch 'main' into subrata-ms/CP1252Encoding

7b225bc

fixing PR comments

5e6dc19

fixing external set scenario

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Jahnvi Thakkar (jahnvi480) mentioned this pull request May 8, 2026

FIX: Fetch VARCHAR UTF-8 collation columns as SQL_C_WCHAR on Windows to prevent lossy ACP conversion #543

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test fix

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Sumit Sarabhai (sumitmsft) reviewed May 8, 2026

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Subrata (subrata-ms) and others added 2 commits May 11, 2026 11:21

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Merge branch 'main' into subrata-ms/CP1252Encoding

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Subrata (subrata-ms) and others added 3 commits May 11, 2026 14:46

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Merge branch 'main' into subrata-ms/CP1252Encoding

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Merge branch 'subrata-ms/CP1252Encoding' of https://github.com/micros…

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…oft/mssql-python into subrata-ms/CP1252Encoding

Jahnvi Thakkar (jahnvi480) previously approved these changes May 11, 2026

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Subrata (subrata-ms) dismissed Jahnvi Thakkar (jahnvi480)’s stale review via 0651488 May 12, 2026 10:00

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improving test coverage

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Subrata (subrata-ms) reopened this May 12, 2026

Gaurav Sharma (bewithgaurav) approved these changes May 13, 2026

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Merge branch 'main' into subrata-ms/CP1252Encoding

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Subrata (subrata-ms) merged commit 6ec0949 into main May 13, 2026
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ffelixg mentioned this pull request May 13, 2026

FIX: Request SQL_CHAR as SQL_C_WCHAR in arrow fetch path #575

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This was referenced May 15, 2026

RELEASE:1.7.0 #585

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RELEASE:1.7.1 #593

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Summary

mssql_python/pybind/ddbc_bindings.cpp

mssql_python/pybind/ddbc_bindings.h

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Subrata (subrata-ms) commented May 12, 2026

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Subrata (subrata-ms) commented Apr 3, 2026 •

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