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[SPARK-45967][BUILD] Upgrade jackson to 2.16.0 #43859

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panbingkun wants to merge 7 commits into from
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[SPARK-45967][BUILD] Upgrade jackson to 2.16.0 #43859

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08d2f80
[SPARK-45967][BUILD] Upgrade jackson to 2.16.0
panbingkun Nov 17, 2023
c66c663
[SPARK-45967][BUILD] Upgrade jackson to 2.16.0
panbingkun Nov 17, 2023
b9691e2
[SPARK-45967][BUILD] Upgrade jackson to 2.16.0
panbingkun Nov 17, 2023
d4bccf0
Merge branch 'master' into SPARK-45967
panbingkun Nov 17, 2023
1adbd6b
Trigger build
panbingkun Nov 17, 2023
7bd4a3c
Trigger build
panbingkun Nov 17, 2023
89972be
Merge branch 'master' into SPARK-45967
panbingkun Nov 17, 2023
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[SPARK-45967][BUILD] Upgrade jackson to 2.16.0
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@panbingkun
panbingkun committed Nov 17, 2023
commit b9691e296b425deff7b416c62f5765770212ac10
6 changes: 4 additions & 2 deletions sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
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Expand Up @@ -1175,7 +1175,8 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
val invalidDataType = "MAP<INT, cow>"
val invalidDataTypeReason = "Unrecognized token 'MAP': " +
"was expecting (JSON String, Number, Array, Object or token 'null', 'true' or 'false')\n " +
"at [Source: (String)\"MAP<INT, cow>\"; line: 1, column: 4]"
"at [Source: REDACTED (`StreamReadFeature.INCLUDE_SOURCE_IN_LOCATION` disabled); " +
"line: 1, column: 4]"
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@panbingkun panbingkun Nov 17, 2023

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image

checkError(
exception = intercept[AnalysisException] {
df.select(from_json($"json", invalidDataType, Map.empty[String, String])).collect()
Expand All @@ -1190,7 +1191,8 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
val invalidTableSchema = "x INT, a cow"
val invalidTableSchemaReason = "Unrecognized token 'x': " +
"was expecting (JSON String, Number, Array, Object or token 'null', 'true' or 'false')\n" +
" at [Source: (String)\"x INT, a cow\"; line: 1, column: 2]"
" at [Source: REDACTED (`StreamReadFeature.INCLUDE_SOURCE_IN_LOCATION` disabled); " +
"line: 1, column: 2]"
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@panbingkun panbingkun Nov 17, 2023

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dito

checkError(
exception = intercept[AnalysisException] {
df.select(from_json($"json", invalidTableSchema, Map.empty[String, String])).collect()
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