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To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":768}}}],"partialFingerprints":{"codehealthFindingId/v1":"76d83ed96d5aedaa5cb09529e195812840a2d3e44d429ebd919ec6e5fa42b81f"}},{"ruleId":"D2","level":"warning","message":{"text":"Conversions.jsonStringToRow (cognitive 69): Conversions.jsonStringToRow has cognitive complexity 69 (threshold 15). Drivers by points: if/else 27 (55 pts), loops 3 (8 pts), boolean chains 5, match/switch 1 (nesting depth added 33). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/Conversions.scala"},"region":{"startLine":264}}}],"partialFingerprints":{"codehealthFindingId/v1":"3b5a04aef67db90bbc1c070f84720963d30004f59dee9a0d8ba56c7cd7d01274"}},{"ruleId":"D2","level":"warning","message":{"text":"Parameters.mergeParameters (cognitive 60): Parameters.mergeParameters has cognitive complexity 60 (threshold 15). Drivers by points: if/else 23 (49 pts), boolean chains 8, error handling 1 (2 pts), match/switch 1 (nesting depth added 27). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/Parameters.scala"},"region":{"startLine":333}}}],"partialFingerprints":{"codehealthFindingId/v1":"e75fcfa7003f0a1380ece1e0e20e8b9e16bab2cf9164ab4786f329d9830bb9f1"}},{"ruleId":"D2","level":"warning","message":{"text":"SFRecordReader.next (cognitive 43): SFRecordReader.next has cognitive complexity 43 (threshold 15). Drivers by points: if/else 9 (21 pts), loops 4 (12 pts), match/switch 2 (6 pts), boolean chains 4 (nesting depth added 24). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/SFRecordReader.scala"},"region":{"startLine":149}}}],"partialFingerprints":{"codehealthFindingId/v1":"6ee285026fb6fb82142c5e5a6d430830926161b83d674ee3165d5e438988e066"}},{"ruleId":"D2","level":"warning","message":{"text":"CloudStorage.doUploadPartition (cognitive 38): CloudStorage.doUploadPartition has cognitive complexity 38 (threshold 15). Drivers by points: if/else 15 (21 pts), match/switch 4 (12 pts), loops 1 (3 pts), boolean chains 2 (nesting depth added 16). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":683}}}],"partialFingerprints":{"codehealthFindingId/v1":"11ab4e1f04b18e6d2ac2a1547dca61a5c428836758517011cefc95e55460021f"}},{"ruleId":"D2","level":"warning","message":{"text":"StageWriter.writeToTableWithStagingTable (cognitive 34): StageWriter.writeToTableWithStagingTable has cognitive complexity 34 (threshold 15). Drivers by points: if/else 20 (28 pts), boolean chains 5, error handling 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":375}}}],"partialFingerprints":{"codehealthFindingId/v1":"c3a6d58b66ad36fd37c51b5731703c4db6e5a8a5b6fb3931a230d84bced9935c"}},{"ruleId":"D2","level":"warning","message":{"text":"SnowflakeSQLStatement.prepareWithBindVariable (cognitive 27): SnowflakeSQLStatement.prepareWithBindVariable has cognitive complexity 27 (threshold 15). Drivers by points: if/else 18 (26 pts), match/switch 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":730}}}],"partialFingerprints":{"codehealthFindingId/v1":"2a87ee32e0ed6e6093e89235cfc1f9707245edda57e644373f413d9dfe356468"}},{"ruleId":"D2","level":"warning","message":{"text":"SnowflakeWriter.mapColumn (cognitive 25): SnowflakeWriter.mapColumn has cognitive complexity 25 (threshold 15). Drivers by points: if/else 9 (14 pts), match/switch 5 (11 pts) (nesting depth added 11). The drivers above price the dispatch low by construction \u2014 a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full \u2014 so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeWriter.scala"},"region":{"startLine":116}}}],"partialFingerprints":{"codehealthFindingId/v1":"3c489594994b83952da567aa17ebd8d1448c9e20445338ec7f3c7f33c9ffc48d"}},{"ruleId":"D2","level":"warning","message":{"text":"ResultIterator.next (cognitive 23): ResultIterator.next has cognitive complexity 23 (threshold 15). Drivers by points: if/else 13 (21 pts), match/switch 1 (2 pts) (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/SnowflakeResultSetRDD.scala"},"region":{"startLine":201}}}],"partialFingerprints":{"codehealthFindingId/v1":"8380083bb511cbb72826c9c6273970b499f0676b844ad3f1ccf7dd026ae66ceb"}},{"ruleId":"D2","level":"warning","message":{"text":"ServerConnection.createJDBCConnection (cognitive 22): ServerConnection.createJDBCConnection has cognitive complexity 22 (threshold 15). Drivers by points: if/else 12, error handling 3 (5 pts), match/switch 4, loops 1 (nesting depth added 2). To reduce it, split the body: this score is breadth rather than depth \u2014 many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/ServerConnection.scala"},"region":{"startLine":175}}}],"partialFingerprints":{"codehealthFindingId/v1":"3f5b84de0f17e5acadb44dbb0c077947a820e64cacb69517f06ea55ab766c415"}},{"ruleId":"D2","level":"warning","message":{"text":"CSVConverter.convert (cognitive 21): CSVConverter.convert has cognitive complexity 21 (threshold 15). Drivers by points: if/else 7 (11 pts), loops 3 (7 pts), boolean chains 3 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/CSVConverter.scala"},"region":{"startLine":29}}}],"partialFingerprints":{"codehealthFindingId/v1":"bf39fbc5f52cdd1fef4c9cf99c18be64cc5e6b60d81bb8e699e87d8c50941e7c"}},{"ruleId":"D2","level":"warning","message":{"text":"CloudStorageOperations.createStorageClient (cognitive 21): CloudStorageOperations.createStorageClient has cognitive complexity 21 (threshold 15). Drivers by points: if/else 9 (13 pts), match/switch 4 (8 pts) (nesting depth added 8). The drivers above price the dispatch low by construction \u2014 a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full \u2014 so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":273}}}],"partialFingerprints":{"codehealthFindingId/v1":"78439bb999506cbc4f4e06412dd1b115a12552d98616f09fa0a810d89a5e4a18"}},{"ruleId":"D2","level":"warning","message":{"text":"SnowflakeWriter.save (cognitive 19): SnowflakeWriter.save has cognitive complexity 19 (threshold 15). Drivers by points: if/else 10 (14 pts), boolean chains 3, match/switch 1 (2 pts) (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeWriter.scala"},"region":{"startLine":52}}}],"partialFingerprints":{"codehealthFindingId/v1":"b12d582e543355f12fd25bda8046a8a7ac1c4c7cbe0ab1fbc35aa429a4771d0d"}},{"ruleId":"D2","level":"warning","message":{"text":"merge_pr.main (cognitive 18): merge_pr.main has cognitive complexity 18 (threshold 15). Drivers by points: if/else 12 (15 pts), boolean chains 2, loops 1 (nesting depth added 3). To reduce it, split the body: most of this score is breadth rather than depth \u2014 checks laid out side by side rather than stacked \u2014 so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"legacy/dev/merge_pr.py"},"region":{"startLine":358}}}],"partialFingerprints":{"codehealthFindingId/v1":"b12e8d0cbc9a323ff1b14bec4b2683e8ce045f41ea29fcff0caa2dac240663d4"}},{"ruleId":"D2","level":"warning","message":{"text":"FilterPushdown.buildFilterStatement (cognitive 17): FilterPushdown.buildFilterStatement has cognitive complexity 17 (threshold 15). Drivers by points: if/else 11 (12 pts), match/switch 3 (4 pts), boolean chains 1 (nesting depth added 2). To reduce it, split the body: this score is breadth rather than depth \u2014 many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/FilterPushdown.scala"},"region":{"startLine":54}}}],"partialFingerprints":{"codehealthFindingId/v1":"b37b63022527712e0c85d1b5d7117389955571058171a038b3ec535b367178e9"}},{"ruleId":"D2","level":"warning","message":{"text":"StageWriter.executeCopyIntoTable (cognitive 17): StageWriter.executeCopyIntoTable has cognitive complexity 17 (threshold 15). Drivers by points: if/else 13 (16 pts), error handling 1 (nesting depth added 3). To reduce it, split the body: most of this score is breadth rather than depth \u2014 checks laid out side by side rather than stacked \u2014 so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":496}}}],"partialFingerprints":{"codehealthFindingId/v1":"60896250c4f22875f3b63a4ec309144565842b0fbc4454062847ea887fc47c20"}},{"ruleId":"D2","level":"warning","message":{"text":"SnowflakeWriter.genConversionFunctions (cognitive 16): SnowflakeWriter.genConversionFunctions has cognitive complexity 16 (threshold 15). Drivers by points: if/else 7 (11 pts), match/switch 3 (5 pts) (nesting depth added 6). The drivers above price the dispatch low by construction \u2014 a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full \u2014 so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeWriter.scala"},"region":{"startLine":272}}}],"partialFingerprints":{"codehealthFindingId/v1":"9b2dc10e119850ab338cc85b45c0843b191adde742c1ede977e6177dedbe3e6a"}},{"ruleId":"D3","level":"warning","message":{"text":"FileTooLong: io/CloudStorageOperations.scala: FileTooLong \u2014 1580 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 1080 over it, 3.16\u00D7 the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"1d6387a51b1b6a8cd0232d23d2fa53bd238a780610fa8323fef62a4b21edc834"}},{"ruleId":"D3","level":"warning","message":{"text":"TooManyMethods: Utils: TooManyMethods \u2014 52 methods. The bar is 30 methods; this is 22 over it, 1.73\u00D7 the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/Utils.scala"},"region":{"startLine":47}}}],"partialFingerprints":{"codehealthFindingId/v1":"119c94d5609af90bedaea85315a046c4231837120c3eab582ac6fc062a792789"}},{"ruleId":"D3","level":"warning","message":{"text":"FileTooLong: io/StageWriter.scala: FileTooLong \u2014 695 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 195 over it, 1.39\u00D7 the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"36c65017e93cbaffdef053b1978a97c9309a29b4f2a8e1a05b15129e3211b380"}},{"ruleId":"D3","level":"warning","message":{"text":"FileTooLong: snowflake/Parameters.scala: FileTooLong \u2014 648 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 148 over it, 1.30\u00D7 the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/Parameters.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"36f985718289c411adc45f7663ae506947a7f64f5a443c702401db8396d92480"}},{"ruleId":"D3","level":"warning","message":{"text":"FileTooLong: snowflake/SnowflakeJDBCWrapper.scala: FileTooLong \u2014 609 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 109 over it, 1.22\u00D7 the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"edede9a3a8a6e013b004c97f0f19d387e4d0c91abf3017536740be7deeb9ae71"}},{"ruleId":"D3","level":"warning","message":{"text":"FileTooLong: snowflake/SnowflakeTelemetry.scala: FileTooLong \u2014 507 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 7 over it, 1.01\u00D7 the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"6f406ed098b7facff52ae5808c2f2647a1b03e2910536248cc5adb66f7461633"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (57 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/io/ParquetUtils.scala:140-196 | src/main/scala/net/snowflake/spark/snowflake/io/ParquetUtils.scala:203-259 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any \u0060return\u0060 inside it is the body\u0027s own exit and keeps its meaning in the moved unit."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/ParquetUtils.scala"},"region":{"startLine":140}}}],"partialFingerprints":{"codehealthFindingId/v1":"a7d954f1682cd0d318a9e0e5a5e318d2b7167b3bab0824bfe2817b09d91fc3c4"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (43 lines \u00D7 2): src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala:78-120 | src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala:76-118 \u2014 before extracting anything, compare \u0060src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala\u0060 and \u0060src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala\u0060 as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 59 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any \u0060return\u0060 inside it is the body\u0027s own exit and keeps its meaning in the moved unit."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala"},"region":{"startLine":78}}}],"partialFingerprints":{"codehealthFindingId/v1":"0fae1bec0a120e1848301ce69766e0382f4ad85dd5d45b8f43382bdbae90dcc5"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (13 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala:817-829 | src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala:837-849 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at \u0060src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala:817\u0060 it does not close everything it opens, so those exact lines cannot be lifted as they stand \u2014 widen the region to the smallest complete statement or declaration that contains it, and extract that."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":817}}}],"partialFingerprints":{"codehealthFindingId/v1":"80aec037f111ad3ebaa8e13872fdd66d662923dee62ecc8cbdf7c54f5cb7a63c"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (11\u201312 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1465-1475 | src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1595-1606 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":1465}}}],"partialFingerprints":{"codehealthFindingId/v1":"f95570191c3666f56b531684943625178de38967ea8cafcb350ea8281bf5375c"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (12 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1534-1545 | src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1553-1564 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":1534}}}],"partialFingerprints":{"codehealthFindingId/v1":"2c3f5cae2b4bb659327878f81d76de075d0111c49339dfd8f9ba279a6509a27f"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (12 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala:567-578 | src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala:641-652 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at \u0060src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala:567\u0060 it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand \u2014 widen the region to the smallest complete statement or declaration that contains it, and extract that."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":567}}}],"partialFingerprints":{"codehealthFindingId/v1":"8ac9c2f3111f535c37bed4421613f84d28c807837166b520abd9334709103c14"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (11 lines \u00D7 3): src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1535-1545 | src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1554-1564 | src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1573-1583 \u2014 all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites \u2014 resolving only two of them leaves the rest to drift apart the first time one is edited."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":1535}}}],"partialFingerprints":{"codehealthFindingId/v1":"33f93bd71e82f9db4225a79ca72478592d3310eaa8f03c367f0a80ba888f041c"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (11 lines \u00D7 2): src/main/3.5/scala/org/apache/spark/sql/snowflake/SnowflakeSparkUtils.scala:22-32 | src/main/4.x/scala/org/apache/spark/sql/snowflake/SnowflakeSparkUtils.scala:22-32 \u2014 the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach \u2014 a location they all depend on today, or a new shared one if there is none \u2014 and call it from each site; until then, every change has to be made twice. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any \u0060return\u0060 inside it is the body\u0027s own exit and keeps its meaning in the moved unit."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/3.5/scala/org/apache/spark/sql/snowflake/SnowflakeSparkUtils.scala"},"region":{"startLine":22}}}],"partialFingerprints":{"codehealthFindingId/v1":"29b3352a746b90d0c88c4a57eb4f52f25d4a2e8b4e0cfcdb604c9f28591ab18b"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (10 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/Utils.scala:411-420 | src/main/scala/net/snowflake/spark/snowflake/Utils.scala:428-437 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at \u0060src/main/scala/net/snowflake/spark/snowflake/Utils.scala:411\u0060 it runs out through the closing brace of the declaration holding it \u2014 the window is that declaration\u0027s tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand \u2014 widen the region to the smallest complete statement or declaration that contains it, and extract that."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/Utils.scala"},"region":{"startLine":411}}}],"partialFingerprints":{"codehealthFindingId/v1":"b2bc0336012509624fa9e04c6e4ab46b5eae1d2d8a403c4e8fbbf8b82e4861b9"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (6 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1031-1036 | src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1406-1411 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":1031}}}],"partialFingerprints":{"codehealthFindingId/v1":"dc0782c3cb66094970e8cdf9e0c205ee6b8942e023fe691b2a6ff1324983da8a"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (5 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1045-1049 | src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1429-1433 \u2014 both copies are in the same file, so extract the block into one function there and call it from each site \u2014 the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at \u0060src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala:1045\u0060 it runs out through the closing brace of the declaration holding it \u2014 the window is that declaration\u0027s tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand \u2014 widen the region to the smallest complete statement or declaration that contains it, and extract that."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":1045}}}],"partialFingerprints":{"codehealthFindingId/v1":"ddc7c246e6ef3038bb157176ddb1e5c3d4686890e5ec7c24440c4eca9c241932"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (5 lines \u00D7 2): src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala:64-68 | src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala:62-66 \u2014 before extracting anything, compare \u0060src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala\u0060 and \u0060src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala\u0060 as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 59 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at \u0060src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala:64\u0060 it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand \u2014 widen the region to the smallest complete statement or declaration that contains it, and extract that."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala"},"region":{"startLine":64}}}],"partialFingerprints":{"codehealthFindingId/v1":"fe16b7f3476d56ca5b41166507f44a9cb272c472ba66b71d98697674cc1f1898"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (11 lines \u00D7 2): src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala:134-144 | src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala:132-142 \u2014 before extracting anything, compare \u0060src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala\u0060 and \u0060src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala\u0060 as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 59 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala"},"region":{"startLine":134}}}],"partialFingerprints":{"codehealthFindingId/v1":"074c72212f1a8270b93890dbe0ec29aa074e543ac6141fec69d2d5b5adf26640"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (12 lines \u00D7 2): src/main/3.5/scala/org/apache/spark/sql/snowflake/SnowflakeSparkUtils.scala:8-19 | src/main/4.x/scala/org/apache/spark/sql/snowflake/SnowflakeSparkUtils.scala:8-19 \u2014 the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach \u2014 a location they all depend on today, or a new shared one if there is none \u2014 and call it from each site; until then, every change has to be made twice."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/3.5/scala/org/apache/spark/sql/snowflake/SnowflakeSparkUtils.scala"},"region":{"startLine":8}}}],"partialFingerprints":{"codehealthFindingId/v1":"558083777c661008abf5f268a158beb379b25b80bc3bf47f65c287547ce52968"}},{"ruleId":"D4","level":"warning","message":{"text":"Duplicated block (10 lines \u00D7 2): src/main/scala/net/snowflake/spark/snowflake/Conversions.scala:372-381 | src/main/scala/net/snowflake/spark/snowflake/io/SnowflakeResultSetRDD.scala:273-283 \u2014 the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach \u2014 a location they all depend on today, or a new shared one if there is none \u2014 and call it from each site; until then, every change has to be made twice."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/Conversions.scala"},"region":{"startLine":372}}}],"partialFingerprints":{"codehealthFindingId/v1":"e4d90d98a4f656e144e2e05b7ba3d045f852357a8ca055e2116c36086c4d81a9"}},{"ruleId":"D6","level":"warning","message":{"text":"Low cohesion: JDBCWrapper (LCOM4 4): JDBCWrapper\u0027s methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable \u2014 your repository\u0027s bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected \u2014 and which would otherwise dominate this list \u2014 are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":43}}}],"partialFingerprints":{"codehealthFindingId/v1":"00ebe70911b06668ea9b23a00df867bcf4ce2fd958e7c00ac2b353954ee00647"}},{"ruleId":"D13","level":"error","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"7b6b2f37f3e4a8663ad4ca9dbfbdf9e6292e8dcc659fd1f049eaf57c36c4fe66"},"taxa":[{"id":"CWE-259","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"CWE-798","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"A07:2025","toolComponent":{"name":"OWASP Top 10","guid":"7d1f0c2e-4b6a-4e39-9a51-0b2e8c3d5f61"}}]},{"ruleId":"D16","level":"note","message":{"text":"Off-boarding risk: anonymized user #1: If anonymized user #1 becomes unavailable, 5 significant file(s) lose their only recent owner: src/it/4.x/scala/net/snowflake/spark/snowflake/NativeSparkVariantTypeITSuite.scala, src/main/scala/net/snowflake/spark/snowflake/io/SnowflakeResultSetRDD.scala, src/main/4.x/scala/net/snowflake/spark/snowflake/DefaultSource.scala, src/main/3.5/scala/net/snowflake/spark/snowflake/DefaultSource.scala, src/main/4.x/scala/net/snowflake/spark/snowflake/SparkVariantSupport.scala. Pair on, review, or document these before any departure."},"locations":[],"partialFingerprints":{"codehealthFindingId/v1":"96cbbcce455f2af8e96f0eb202eb72205d14044810930776bdab68b39f24e85f"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // todo: create a method the compare two json strings. \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/SnowflakeTelemetryIntegrationSuite.scala"},"region":{"startLine":118}}}],"partialFingerprints":{"codehealthFindingId/v1":"0308fbb94ddb220e110a55d587d970d6afbcc316e7b43e3df175941dd57974ef"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // TODO Enable more tests \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/SnowflakeIntegrationSuite.scala"},"region":{"startLine":375}}}],"partialFingerprints":{"codehealthFindingId/v1":"5e70e48f463e7410c24b9f5885204f0039c06534c75b0603a5ca2fca12d2d174"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // TODO:test overwrite that fails. \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/SnowflakeIntegrationSuite.scala"},"region":{"startLine":581}}}],"partialFingerprints":{"codehealthFindingId/v1":"a5ac8250786dfc9ff4961e87667911d3820fd3d2080fab946b02ad9ab0a93c4c"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // todo: it works now (csv and json), but may be not work on binary format \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/ColumnMappingIntegrationSuite.scala"},"region":{"startLine":290}}}],"partialFingerprints":{"codehealthFindingId/v1":"f383d72bd2ff5a78845fcac0314ded85481d39efa534aed46440f9d89391a161"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // TODO: cleanup types which are irrelevant for Snowflake. \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":303}}}],"partialFingerprints":{"codehealthFindingId/v1":"5f955a9149b052456fdb0e8e2cf6871eb517df254c723fb2f8d2336dfa7a21eb"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // TODO: Improve error handling with retries, etc. \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeConnectorUtils.scala"},"region":{"startLine":31}}}],"partialFingerprints":{"codehealthFindingId/v1":"27950ef21ca29b7ac3947ad8672a9b48a86b273bbf409c518a94582650d73aae"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // todo: replace table name to Identifier(?) after bug fixed \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":1012}}}],"partialFingerprints":{"codehealthFindingId/v1":"8f6461ccc32f10cc08a870fb3b1bb4b3f3792c77ce8c730f8659a61558313a44"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // todo: should have a special handler \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/ParquetUtils.scala"},"region":{"startLine":145}}}],"partialFingerprints":{"codehealthFindingId/v1":"5aa0b661d00514b54d423577ae605cd4c81cf5f5e677a7ce18124238325ac8b8"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // todo: should have a special handler \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/ParquetUtils.scala"},"region":{"startLine":208}}}],"partialFingerprints":{"codehealthFindingId/v1":"250d51fe28e0872760851fef0d803e5661ba646eb5a002ed95a56ed806e12970"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // TODO: Optimize 403 error handling to avoid unnecessary fallback attempts. \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":196}}}],"partialFingerprints":{"codehealthFindingId/v1":"d57fba05541d00e4855a71e88d0eb855872d260871e5b969b1cfec17442b8964"}},{"ruleId":"D17","level":"warning","message":{"text":"TodoComment: // TODO: refactor and mock to enable proper tests here. \u2014 source code is not a task system: move the work to your tracker and leave a reference instead (e.g. \u0060// REF: #123\u0060), so the task is planned where tasks live and the ticket links back to the code."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/test/scala/net/snowflake/spark/snowflake/CloudCredentialsUtilsSuite.scala"},"region":{"startLine":141}}}],"partialFingerprints":{"codehealthFindingId/v1":"b35d15a072cca5112a143a94b63bca596adb365813c4c82b74ecc2155d3973cb"}},{"ruleId":"D26","level":"note","message":{"text":"Projects may be oversized for their cohesion: 1 of 1 project(s) overshoot their size bounds, lowering Project Cohesion to 0.0/10. The most over is \u0060(repository root)\u0060 (11916 LoC, 53 module-visible types across 11 directories). Review these for cohesion \u2014 draw the boundary inside the module first (group each responsibility into its own package or directory and keep the cross-boundary members non-public), since splitting a published package moves types between packages and breaks consumers."},"locations":[],"partialFingerprints":{"codehealthFindingId/v1":"d5a94650dc74886a0f1f08eb9fb6775f1fc395279ef7e901c970c9d26f767a72"}},{"ruleId":"D28","level":"error","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"de366fcabe6257132c773ba96c8523fa96c6c69a377c73617ff97d618cc7eb1b"},"properties":{"commitSha":"a64bd5231619e4af5293e87c5065615fcd901b5d"},"taxa":[{"id":"CWE-259","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"CWE-540","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"A01:2025","toolComponent":{"name":"OWASP Top 10","guid":"7d1f0c2e-4b6a-4e39-9a51-0b2e8c3d5f61"}}]},{"ruleId":"D28","level":"note","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"3cdfd7beb31b791ae18dcb425e21eb157c842e7bbcd522cc330573c1a6538db1"}},{"ruleId":"D29","level":"error","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"747b306ff4ccc0599694b227f81f11aab4665823e439edc0219984f46da526c0"},"taxa":[{"id":"CWE-1357","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"CWE-353","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"A03:2025","toolComponent":{"name":"OWASP Top 10","guid":"7d1f0c2e-4b6a-4e39-9a51-0b2e8c3d5f61"}}]},{"ruleId":"D29","level":"error","message":{"text":"A security finding was recorded here. 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Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"bf12a422c2697fd5314e3de6cd35602ce0b6f09768cef2de794124de3fa821c2"},"properties":{"dependency":{"package":"jackson-core","version":"2.15.2","advisory":"[GHSA redacted]","aliases":["[CVE redacted]","[CVE redacted]","[CVE redacted]","[GHSA redacted]","[GHSA redacted]"],"reachability":{"kind":"unknown"}}}},{"ruleId":"D30","level":"error","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"b9fb95457283160b11552de5dd04e12bea9320f8972c127fe595cbb5c7a422fc"},"properties":{"dependency":{"package":"jackson-databind","version":"2.15.2","advisory":"[GHSA redacted]","aliases":["[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[CVE redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]","[GHSA redacted]"],"reachability":{"kind":"unknown"}}}},{"ruleId":"D30","level":"warning","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"3070fbb8142eb0c94ac9613615e21312c5004055258f73b92ebffbb6122b20dc"},"properties":{"dependency":{"package":"snowflake-jdbc","version":"4.0.2","advisory":"[GHSA redacted]","aliases":["[CVE redacted]","GO-2026-6665","PYSEC-2026-4301"],"reachability":{"kind":"unknown"}}}},{"ruleId":"D31","level":"error","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"30376b5dc07581d95370d2992306cd80b81401325ad8f1cfaf29d726034f1eb7"}},{"ruleId":"D31","level":"error","message":{"text":"A security finding was recorded here. 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Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"692455db42b080ce654c9fa2ca133ebb6f2ae7ffd66ef59f2be073b2cd670391"}},{"ruleId":"D31","level":"warning","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"66093d28a182e0fb24ccf7511e72816ed0625a86307c09ad4e4304bba13c2e24"},"taxa":[{"id":"CWE-1357","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"CWE-353","toolComponent":{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d"}},{"id":"A03:2025","toolComponent":{"name":"OWASP Top 10","guid":"7d1f0c2e-4b6a-4e39-9a51-0b2e8c3d5f61"}}]},{"ruleId":"D31","level":"warning","message":{"text":"A security finding was recorded here. 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Schedule a read-through / add characterisation tests before it bites."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"2d885d90256010b49a74243910bfbeb62cdb4c716cb105e0ba475cc272d8b662"}},{"ruleId":"D34","level":"note","message":{"text":"Further orphaned files (smaller): 14 smaller file(s) also have no living knowledge \u2014 folded into the freshness score and metrics rather than raised one row each \u2014 most significant first: legacy/dev/merge_pr.py, src/main/scala/net/snowflake/spark/snowflake/Conversions.scala, src/main/scala/net/snowflake/spark/snowflake/SnowflakeWriter.scala, legacy/tutorial/SparkSnowflakeTutorial.scala, src/it/4.x/scala/net/snowflake/spark/snowflake/NativeSparkVariantNullHandlingITSuite.scala, src/main/scala/net/snowflake/spark/snowflake/io/SFRecordReader.scala, src/main/scala/net/snowflake/spark/snowflake/io/StageReader.scala, src/main/scala/net/snowflake/spark/snowflake/CloudCredentialsUtils.scala (and 6 more) (15 orphaned of 32 analysed files in total, counted over production source files of roughly 2,400 bytes or more, excluding vendored, generated and example/demo trees and test files identified by path convention, largest first; 32 of the 48 production source files in this repository met that bar). 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Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/SnowflakeRDD.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"56f168974a80b8e8fabbe42f38f9f7bce1bed75ae970cfdfced072c14595f842"}},{"ruleId":"D35","level":"warning","message":{"text":"Change coupling: StageReader.scala \u2194 StageWriter.scala: \u0060src/main/scala/net/snowflake/spark/snowflake/io/StageReader.scala\u0060 and \u0060src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala\u0060 change together 56% of the time (10 of the 18 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well \u2014 a repo-wide or module-wide sweep is evidence about the sweep rather than about any pair inside it and is left out of BOTH sides of this ratio, while a dependency bump, a formatter/rename sweep, or a commit whose edit to one of the two files was a tool directive such as //go:generate or whitespace only is left out of the shared count ONLY, so the two sides are not taken over identical commit sets). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package \u2014 so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking. You can check this without leaving the row: of the 10 shared commits counted here, the most recent 3 are \u0060d5b885a4\u0060 SNOW-2875435: Support user specified stage for data loading and unloa\u2026; \u0060c0738f56\u0060 SNOW-637639 Add API to Utils to return the last read/write Query ID (\u2026; \u0060f07207ba\u0060 SNOW-639416 Add new telemetry message SPARK_INGRESS and add some fiel\u2026 \u2014 run \u0060git show\u0060 on any of them."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageReader.scala"},"region":{"startLine":1}}}],"partialFingerprints":{"codehealthFindingId/v1":"70276166e3d4d738eccdcf9ca59a1246e94a593db1b4975b6e33462f75542cc7"}},{"ruleId":"D36","level":"note","message":{"text":"A security finding was recorded here. 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Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"b758ad1a147353a5a6585fdc445891edf7ba4d7d0fd4206a023cc204818f4702"},"taxa":[{"id":"CICD-SEC-6","toolComponent":{"name":"OWASP Top 10 CI/CD Security Risks","guid":"3c9b2a6e-5d14-4f7b-8e02-6a1d9c4b7f35"}}]},{"ruleId":"D36","level":"warning","message":{"text":"A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."},"partialFingerprints":{"codehealthFindingId/v1":"e1f882a306fb78f7b2bedc96161ee31e2fbc78ebd90003f47bfd305132dde89e"},"taxa":[{"id":"CICD-SEC-6","toolComponent":{"name":"OWASP Top 10 CI/CD Security Risks","guid":"3c9b2a6e-5d14-4f7b-8e02-6a1d9c4b7f35"}}]},{"ruleId":"IC1","level":"warning","message":{"text":"Hollow method \u2014 returns a constant without doing the work: \u0060isSparkVariantType\u0060 looks like it should compute a result but its body just returns a constant \u2014 a placeholder return that was never filled in."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/3.5/scala/net/snowflake/spark/snowflake/SparkVariantSupport.scala"},"region":{"startLine":24}}}],"partialFingerprints":{"codehealthFindingId/v1":"4ea75a656729e6feea8a4ee33b52e8af3430c5d41d98b03825607d7ad8ac1ed6"}},{"ruleId":"IC1","level":"note","message":{"text":"Disabled test: A test is skipped/ignored \u2014 coverage that looks present but never runs. Re-enable it or delete it so the green run means something."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/CloudStorageSuite.scala"},"region":{"startLine":92}}}],"partialFingerprints":{"codehealthFindingId/v1":"25b4083d7ce02a9463b3ead58b30be037af475d5a80a2463fc6f3fc618030d15"}},{"ruleId":"IC1","level":"note","message":{"text":"Disabled test: A test is skipped/ignored \u2014 coverage that looks present but never runs. Re-enable it or delete it so the green run means something."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/SecuritySuite.scala"},"region":{"startLine":72}}}],"partialFingerprints":{"codehealthFindingId/v1":"c5478806f7486f782c3d0486411601750697cd7756c614d7e86e4e7e42cc1964"}},{"ruleId":"IC1","level":"note","message":{"text":"Disabled test: A test is skipped/ignored \u2014 coverage that looks present but never runs. 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Re-enable it or delete it so the green run means something."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/SnowflakeIntegrationSuite.scala"},"region":{"startLine":388}}}],"partialFingerprints":{"codehealthFindingId/v1":"a315c572f61ac5c00e99c4b945d9dc0f0b1d40274b5636180c486411dfcd3aab"}},{"ruleId":"IC1","level":"note","message":{"text":"Disabled test: A test is skipped/ignored \u2014 coverage that looks present but never runs. Re-enable it or delete it so the green run means something."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/it/scala/net/snowflake/spark/snowflake/SnowflakeIntegrationSuite.scala"},"region":{"startLine":398}}}],"partialFingerprints":{"codehealthFindingId/v1":"c2e2da288db02eecaf16d892e99caab69e2be3d9d111a17786073f388062c0c3"}},{"ruleId":"IC1","level":"note","message":{"text":"Disabled test: A test is skipped/ignored \u2014 coverage that looks present but never runs. 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Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SparkConnectorContext.scala"},"region":{"startLine":77}}}],"partialFingerprints":{"codehealthFindingId/v1":"c137c40d39fbc6d570466f51b0640d902160e840aae14881646ca3600038827a"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 85 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SparkConnectorContext.scala"},"region":{"startLine":85}}}],"partialFingerprints":{"codehealthFindingId/v1":"77facd4c9f79df619f50ef2f3f7285bd9f7ab7558f6c24b3a0948c306833d124"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 88 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SparkConnectorContext.scala"},"region":{"startLine":88}}}],"partialFingerprints":{"codehealthFindingId/v1":"2ce08a4f73b857726b8b797e71989581ff74f643d00d1ae1b4fd4b1c14c98127"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 99 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SparkConnectorContext.scala"},"region":{"startLine":99}}}],"partialFingerprints":{"codehealthFindingId/v1":"371a2fa7fd7ea750a13c19040c7d32e4006d426988bb4af6f744e2cd0c895123"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 110 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SparkConnectorContext.scala"},"region":{"startLine":110}}}],"partialFingerprints":{"codehealthFindingId/v1":"c1473d3d7bade142b655e873b9deba55324e2deae489f387b06048a55d52ad70"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 91 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":91}}}],"partialFingerprints":{"codehealthFindingId/v1":"cb0761af4b71f6f65b56c70d5ee694b5f000aecccfc3c495a97243b50d938d27"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 114 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":114}}}],"partialFingerprints":{"codehealthFindingId/v1":"5bd40225b02deb7f43103e797fb13301b59766f3a79a2616d39c528ef03aee1d"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 238 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":238}}}],"partialFingerprints":{"codehealthFindingId/v1":"c5d6c482137d2f5b97641c32237981774cbd3c3074d556d7ec8322bc4d584ebc"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 244 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":244}}}],"partialFingerprints":{"codehealthFindingId/v1":"1f967e20253848cd5e60c93f9c38b61d27f9fa1c76504bf9751a6d9ba78d8e72"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 356 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":356}}}],"partialFingerprints":{"codehealthFindingId/v1":"98f00946ec40245fe565de548224ea93205367850a9826394c1c885286ab8658"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 378 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeTelemetry.scala"},"region":{"startLine":378}}}],"partialFingerprints":{"codehealthFindingId/v1":"d6a3664f4488bca1aea3c9ab89faeffa90e54ca493997ed4b31e30ef34b3a5d2"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 194 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeRelation.scala"},"region":{"startLine":194}}}],"partialFingerprints":{"codehealthFindingId/v1":"3de1c5d4a2543ea6eec3681129e919543d4e0a08712f05f44c435eab2ba9d88e"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060debug\u0060 at line 269 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.debug(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":269}}}],"partialFingerprints":{"codehealthFindingId/v1":"33a837e72dccb190421cc65a455630426b2077cf382a8c98b9c7a28fa9dbb5d4"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 275 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":275}}}],"partialFingerprints":{"codehealthFindingId/v1":"754ab8d0f4589e021207f2d827018909798904694975216de2f65b5f558334bc"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060debug\u0060 at line 619 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.debug(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":619}}}],"partialFingerprints":{"codehealthFindingId/v1":"6d48e0a6c4a2a0e7629fc0d10d882420e8f3f5c43b984efbf23c82fa1438badb"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 725 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":725}}}],"partialFingerprints":{"codehealthFindingId/v1":"4919f75f4c8d611220c63ed644af37a038d0a93c9c7e1fe49bcd2837533a3846"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 751 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/SnowflakeJDBCWrapper.scala"},"region":{"startLine":751}}}],"partialFingerprints":{"codehealthFindingId/v1":"e5345d7123943a9f5238c98797e08f4100b5a7fc6543ad5f20198414f1c9f5cd"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 104 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/ServerConnection.scala"},"region":{"startLine":104}}}],"partialFingerprints":{"codehealthFindingId/v1":"b7d90d5d34da25a43ef593a0585ec43af308cb7583e93d10ddbe9728a86e0d97"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 754 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":754}}}],"partialFingerprints":{"codehealthFindingId/v1":"bace7bfa11c465ae76962a800ca78f6295d236d6fb22950685f0d750846f8e5f"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060error\u0060 at line 759 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.error(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala"},"region":{"startLine":759}}}],"partialFingerprints":{"codehealthFindingId/v1":"027ac2dfb864108c116c73c7745fee97c91d1a0e4bfdc3ce36969bfd997e0c74"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 45 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/StageReader.scala"},"region":{"startLine":45}}}],"partialFingerprints":{"codehealthFindingId/v1":"5ddeed4e18471a5a99a4d8415f2ae47c25a86d52fbf0ab7af8b09f887f65b615"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 783 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":783}}}],"partialFingerprints":{"codehealthFindingId/v1":"ea97ff196b4b792e801170ce8d0a59438e7bf8856145cab768cabba32657339b"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 805 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/net/snowflake/spark/snowflake/io/CloudStorageOperations.scala"},"region":{"startLine":805}}}],"partialFingerprints":{"codehealthFindingId/v1":"65ad2322dfe1d7f300108c4259093bac2f11c03306d168e1131d865eb002cc0a"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060error\u0060 at line 162 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.error(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":162}}}],"partialFingerprints":{"codehealthFindingId/v1":"e2dcf5cd0619878b62acd420e58faa2d54da8dc8c8be9f44bd9171cea53a9099"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060info\u0060 at line 175 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.info(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":175}}}],"partialFingerprints":{"codehealthFindingId/v1":"747e7d979debb935c754409bbd992ba3d9bfe02c8f5390b0c324851de2d9ea47"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060error\u0060 at line 181 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.error(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":181}}}],"partialFingerprints":{"codehealthFindingId/v1":"37efef496103899842790cb252dc5eb692dabaf4b01f0763089e7cac77fe4372"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060debug\u0060 at line 275 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.debug(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":275}}}],"partialFingerprints":{"codehealthFindingId/v1":"f40575e05f753579a698ced7c5ff8f5d60e4b9accdd16b0b1a796a175d926f58"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060debug\u0060 at line 281 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.debug(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":281}}}],"partialFingerprints":{"codehealthFindingId/v1":"85e1c5f34e5aec0f21cf95928f6fbc4ffad52605a48663671415640589912914"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060warn\u0060 at line 316 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.warn(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":316}}}],"partialFingerprints":{"codehealthFindingId/v1":"66e09f7cecd7fbccae73210fa6a44693aadb1c05fd9522aef2b7706faa8bae90"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060debug\u0060 at line 319 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.debug(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":319}}}],"partialFingerprints":{"codehealthFindingId/v1":"27521a6a99eef083190e880dc69f9975093b3381d2b6e155c159f7ff84aa5aa9"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060debug\u0060 at line 324 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.debug(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":324}}}],"partialFingerprints":{"codehealthFindingId/v1":"f06920dd850bad9779523ab626c22cac1e50ecbc8ae3df0e2a4a73d9972b4974"}},{"ruleId":"X4","level":"note","message":{"text":"Interpolated log message defeats structured logging: \u0060error\u0060 at line 329 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string \u2014 the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: \u0060log.error(\u0022Order {} moved to {}\u0022, orderId, status)\u0060, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or \u0060log.atInfo().addKeyValue(\u0022order_id\u0022, orderId).log(\u0022order moved\u0022)\u0060 with SLF4J 2\u0027s fluent API. scala-logging\u0027s \u0060LazyLogging\u0060 logger takes an \u0060s\u0022\u2026\u0022\u0060 message apart into that pattern at compile time, so switching to it is also a fix."},"locations":[{"physicalLocation":{"artifactLocation":{"uri":"src/main/scala/org/apache/spark/sql/snowflake/catalog/SnowflakeFallbackCatalog.scala"},"region":{"startLine":329}}}],"partialFingerprints":{"codehealthFindingId/v1":"e156a733baea335cf3cfb239d5f3f7575de54a31f667da010ce658935feee182"}},{"ruleId":"X5","level":"note","message":{"text":"Scala\u0027s null is not held to the type system everywhere: No build over this repository\u0027s 77 Scala product file(s) passes \u0060-Yexplicit-nulls\u0060, enables WartRemover\u0027s \u0060Null\u0060 wart or runs Scalafix\u0027s \u0060DisableSyntax.noNulls\u0060, so every reference type admits null and nothing reports a \u0060null\u0060 written into the code or returned from a Java API \u2014 the first one to reach a method call is a \u0060NullPointerException\u0060. \u0060Option\u0060 by convention is a habit no tool here holds the code to."},"locations":[],"partialFingerprints":{"codehealthFindingId/v1":"23e7c3c6da50151f07723c64ca4f881fd5903e713d143161a7c0594ad7ba29cc"}}],"taxonomies":[{"name":"CWE","guid":"c3a2b1d0-7f3e-4b2a-9c1d-5e6f7a8b9c0d","organization":"MITRE","informationUri":"https://cwe.mitre.org/","isComprehensive":false,"shortDescription":{"text":"The MITRE Common Weakness Enumeration (CWE)."},"taxa":[{"id":"CWE-1032","guid":"5f21e517-68aa-a650-9a25-5771ef024637","name":"OWASP Top Ten \u2014 Security Misconfiguration 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Component"},"helpUri":"https://cwe.mitre.org/data/definitions/1357.html"},{"id":"CWE-1395","guid":"800e09e7-c11a-8654-9fa6-86f398995fed","name":"Dependency on Vulnerable Third-Party Component","shortDescription":{"text":"Dependency on Vulnerable Third-Party Component"},"helpUri":"https://cwe.mitre.org/data/definitions/1395.html"},{"id":"CWE-16","guid":"659db3ea-affc-8453-8add-c1218fbfcb92","name":"Configuration","shortDescription":{"text":"Configuration"},"helpUri":"https://cwe.mitre.org/data/definitions/16.html"},{"id":"CWE-259","guid":"ae9ad959-fbb6-9d5e-892d-3dca66da0b69","name":"Use of Hard-coded Password","shortDescription":{"text":"Use of Hard-coded Password"},"helpUri":"https://cwe.mitre.org/data/definitions/259.html"},{"id":"CWE-353","guid":"09d7e902-d4ee-f05d-ae6c-0a1554d0c18f","name":"Missing Support for Integrity Check","shortDescription":{"text":"Missing Support for Integrity 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Failures"},"helpUri":"https://top10.owasp.org/2025/A08_2025-Software_or_Data_Integrity_Failures/"}]},{"name":"OWASP Top 10 CI/CD Security Risks","guid":"3c9b2a6e-5d14-4f7b-8e02-6a1d9c4b7f35","organization":"OWASP Foundation","informationUri":"https://owasp.org/www-project-top-10-ci-cd-security-risks/","isComprehensive":false,"shortDescription":{"text":"The OWASP Top 10 CI/CD Security Risks."},"taxa":[{"id":"CICD-SEC-3","guid":"458c83a6-ebf7-cf55-8cc3-b4d949bbf271","name":"Dependency Chain Abuse","shortDescription":{"text":"Dependency Chain Abuse"},"helpUri":"https://owasp.github.io/www-project-top-10-ci-cd-security-risks/CICD-SEC-03-Dependency-Chain-Abuse"},{"id":"CICD-SEC-6","guid":"f2ee2486-b260-2952-a41f-6b67fa713940","name":"Insufficient Credential Hygiene","shortDescription":{"text":"Insufficient Credential Hygiene"},"helpUri":"https://owasp.github.io/www-project-top-10-ci-cd-security-risks/CICD-SEC-06-Insufficient-Credential-Hygiene"},{"id":"CICD-SEC-8","guid":"b6b2dacf-a168-4957-876e-a8c73ee00eb0","name":"Ungoverned Usage of 3rd Party Services","shortDescription":{"text":"Ungoverned Usage of 3rd Party Services"},"helpUri":"https://owasp.github.io/www-project-top-10-ci-cd-security-risks/CICD-SEC-08-Ungoverned-Usage-of-3rd-Party-Services"},{"id":"CICD-SEC-9","guid":"b3d36727-0395-5b51-94c4-5e173d62eab3","name":"Improper Artifact Integrity Validation","shortDescription":{"text":"Improper Artifact Integrity Validation"},"helpUri":"https://owasp.github.io/www-project-top-10-ci-cd-security-risks/CICD-SEC-09-Improper-Artifact-Integrity-Validation"}]}],"properties":{"codehealthPublication":{"public":true,"notice":"This is the PUBLIC form of this artifact. Findings are listed in full, but the details of SECURITY findings \u2014 which rule fired, in which file, on which line, and how to fix it \u2014 are deliberately withheld, and any secret-scanner results are excluded entirely. Where detail is absent here it was REMOVED FOR PUBLICATION; it is not missing from the analysis. The complete artifact is available from the repository owner.","securityFindingsRedacted":60,"secretScannerRunsExcluded":0}},"redactionTokens":["A security finding was recorded here. Its details are withheld on the public artifact \u2014 ask the repository owner for the full report."]}]}