Deploying to gh-pages from @ f701082 🚀

docs/exclusive.md

@@ -103,7 +103,7 @@ val sparkCol = f.expr("array_sort(value, (l, r) -> case " +
 
 val doricCol = colArray[Row]("value").sortBy(CName("name"), CNameOrd("age", Desc))
 // doricCol: ArrayColumn[Row] = TransformationDoricColumn(
-//   Kleisli(scala.Function1$$Lambda$3002/0x0000000801343840@2be41d90)
+//   Kleisli(scala.Function1$$Lambda$3003/0x0000000801343840@3ea4712b)
 // )
 
 dfArrayStruct.select(sparkCol.as("sorted")).show(false)
@@ -151,7 +151,7 @@ val mapColDoric = colString("value").matches[String]
   .caseW(_.length > 4, "error key".lit)
   .otherwiseNull
 // mapColDoric: DoricColumn[String] = TransformationDoricColumn(
-//   Kleisli(scala.Function1$$Lambda$3002/0x0000000801343840@3a7c75d9)
+//   Kleisli(scala.Function1$$Lambda$3003/0x0000000801343840@569b57c4)
 // )
 
 dfMatch.withColumn("mapResult", mapColDoric).show()

docs/implicits.md

@@ -85,7 +85,7 @@ val complexCol: DoricColumn[Int] =
       .transform(_ + 1.lit)
       .aggregate(0.lit)(_ + _)
 // complexCol: DoricColumn[Int] = TransformationDoricColumn(
-//   Kleisli(scala.Function1$$Lambda$3002/0x0000000801343840@5234f6c5)
+//   Kleisli(scala.Function1$$Lambda$3003/0x0000000801343840@366558a2)
 // )
 
 dfArrays.select(complexCol as "complexTransformation").show()
@@ -277,7 +277,7 @@ The default doric syntax is a little stricter and forces us to transform these v
 ```scala
 val colD = colInt("int") + 1.lit
 // colD: DoricColumn[Int] = TransformationDoricColumn(
-//   Kleisli(scala.Function1$$Lambda$3002/0x0000000801343840@51787bc1)
+//   Kleisli(scala.Function1$$Lambda$3003/0x0000000801343840@7bc0e96a)
 // )
 
 intDF.select(colD).show()
@@ -298,11 +298,11 @@ we have to _explicitly_ add the following import statement:
 import doric.implicitConversions.literalConversion
 val colSugarD = colInt("int") + 1
 // colSugarD: DoricColumn[Int] = TransformationDoricColumn(
-//   Kleisli(scala.Function1$$Lambda$3002/0x0000000801343840@734bb821)
+//   Kleisli(scala.Function1$$Lambda$3003/0x0000000801343840@3368136a)
 // )
 val columConcatLiterals = concat("this", "is","doric") // concat expects DoricColumn[String] values, the conversion puts them as expected
 // columConcatLiterals: StringColumn = TransformationDoricColumn(
-//   Kleisli(scala.Function1$$Lambda$3002/0x0000000801343840@7bc0e96a)
+//   Kleisli(scala.Function1$$Lambda$3003/0x0000000801343840@21dcd0b5)
 // )
 
 intDF.select(colSugarD, columConcatLiterals).show()

docs/quickstart.md

@@ -28,7 +28,7 @@ _Maven_
 Doric is committed to use the most modern APIs first.
 <!-- * Doric is compatible with Spark version 3.4.0. -->
 * The latest stable version of doric is 0.0.7.
-* The latest experimental version of doric is 0.0.0+1-c8febe50-SNAPSHOT.
+* The latest experimental version of doric is 0.0.0+1-f7010827-SNAPSHOT.
 * Doric is compatible with the following Spark versions:
 
 | Spark  | Scala | Tested |                                                                                        doric                                                                                        |
@@ -85,7 +85,7 @@ It's only when we try to construct the DataFrame that an exception is raised at
 ```scala
 df
 // org.apache.spark.sql.AnalysisException: [DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES] Cannot resolve "(value * true)" due to data type mismatch: the left and right operands of the binary operator have incompatible types ("INT" and "BOOLEAN").;
-// 'Project [unresolvedalias((value#365 * true), Some(org.apache.spark.sql.Column$$Lambda$5128/0x0000000801bca840@73d193ab))]
+// 'Project [unresolvedalias((value#365 * true), Some(org.apache.spark.sql.Column$$Lambda$5129/0x0000000801bca840@2cb6e497))]
 // +- LocalRelation [value#365]
 // 
 // 	at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73)
@@ -182,7 +182,7 @@ strDf.select(f.col("str").asDoric[String]).show()
 strDf.select((f.col("str") + f.lit(true)).asDoric[String]).show()
 // doric.sem.DoricMultiError: Found 1 error in select
 //   [DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES] Cannot resolve "(str + true)" due to data type mismatch: the left and right operands of the binary operator have incompatible types ("DOUBLE" and "BOOLEAN").;
-//   'Project [unresolvedalias((cast(str#378 as double) + true), Some(org.apache.spark.sql.Column$$Lambda$5128/0x0000000801bca840@73d193ab))]
+//   'Project [unresolvedalias((cast(str#378 as double) + true), Some(org.apache.spark.sql.Column$$Lambda$5129/0x0000000801bca840@2cb6e497))]
 //   +- Project [value#375 AS str#378]
 //      +- LocalRelation [value#375]
 //   
@@ -196,7 +196,7 @@ strDf.select((f.col("str") + f.lit(true)).asDoric[String]).show()
 // 	at repl.MdocSession$MdocApp$$anonfun$2.apply(quickstart.md:76)
 // 	at repl.MdocSession$MdocApp$$anonfun$2.apply(quickstart.md:76)
 // Caused by: org.apache.spark.sql.AnalysisException: [DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES] Cannot resolve "(str + true)" due to data type mismatch: the left and right operands of the binary operator have incompatible types ("DOUBLE" and "BOOLEAN").;
-// 'Project [unresolvedalias((cast(str#378 as double) + true), Some(org.apache.spark.sql.Column$$Lambda$5128/0x0000000801bca840@73d193ab))]
+// 'Project [unresolvedalias((cast(str#378 as double) + true), Some(org.apache.spark.sql.Column$$Lambda$5129/0x0000000801bca840@2cb6e497))]
 // +- Project [value#375 AS str#378]
 //    +- LocalRelation [value#375]
 // 

docs/validations.md

@@ -15,7 +15,7 @@ raising a run-time exception:
 // Spark
 List(1,2,3).toDF().select(f.col("id")+1)
 // org.apache.spark.sql.AnalysisException: [UNRESOLVED_COLUMN.WITH_SUGGESTION] A column or function parameter with name `id` cannot be resolved. Did you mean one of the following? [`value`].;
-// 'Project [unresolvedalias(('id + 1), Some(org.apache.spark.sql.Column$$Lambda$5128/0x0000000801bca840@73d193ab))]
+// 'Project [unresolvedalias(('id + 1), Some(org.apache.spark.sql.Column$$Lambda$5129/0x0000000801bca840@2cb6e497))]
 // +- LocalRelation [value#399]
 // 
 // 	at org.apache.spark.sql.errors.QueryCompilationErrors$.unresolvedAttributeError(QueryCompilationErrors.scala:221)