SPARKNLP-819 Adding changes to make spark-nlp 3.4.0 default version

.github/workflows/build_and_test.yml

@@ -31,13 +31,13 @@ on:
       - 'main'
 
 jobs:
-  spark33:
+  spark34:
     if: "! contains(toJSON(github.event.commits.*.message), '[skip test]')"
     runs-on: macos-latest
     env:
       TF_CPP_MIN_LOG_LEVEL: 3
       JAVA_OPTS: "-Xmx4096m -XX:+UseG1GC"
-    name: Build and Test on Apache Spark 3.3.x
+    name: Build and Test on Apache Spark 3.4.x
 
     steps:
       - uses: actions/checkout@v3
@@ -54,19 +54,55 @@ jobs:
       - name: Install Python packages (Python 3.7)
         run: |
           python -m pip install --upgrade pip
-          pip install pyspark==3.3.1 numpy pytest
-      - name: Build Spark NLP on Apache Spark 3.3.0
+          pip install pyspark==3.4.0 numpy pytest
+      - name: Build Spark NLP on Apache Spark 3.4.0
         run: |
           brew install sbt
-          sbt -mem 4096 -Dis_spark33=true clean assemblyAndCopy
-      - name: Test Spark NLP in Scala - Apache Spark 3.3.x
+          sbt -mem 4096 -Dis_spark34=true clean assemblyAndCopy
+      - name: Test Spark NLP in Scala - Apache Spark 3.4.x
         run: |
           sbt -mem 4096 coverage test
       - name: Upload coverage data to Coveralls
         run: sbt coverageReport coveralls
         env:
           COVERALLS_REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          COVERALLS_FLAG_NAME: Apache Spark 3.3.x - Scala 2.12
+          COVERALLS_FLAG_NAME: Apache Spark 3.4.x - Scala 2.12
+      - name: Test Spark NLP in Python - Apache Spark 3.4.x
+        run: |
+          cd python
+          python3.7 -m pytest -v -m fast
+
+  spark33:
+    if: "! contains(toJSON(github.event.commits.*.message), '[skip test]')"
+    runs-on: macos-latest
+    env:
+      TF_CPP_MIN_LOG_LEVEL: 3
+      JAVA_OPTS: "-Xmx4096m -XX:+UseG1GC"
+    name: Build and Test on Apache Spark 3.3.x
+
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-java@v3
+        with:
+          distribution: 'adopt'
+          java-version: '8'
+          cache: 'sbt'
+      - name: Install Python 3.7
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.7.7
+          architecture: x64
+      - name: Install Python packages (Python 3.7)
+        run: |
+          python -m pip install --upgrade pip
+          pip install pyspark==3.3.1 numpy pytest
+      - name: Build Spark NLP on Apache Spark 3.3.1
+        run: |
+          brew install sbt
+          sbt -mem 4096 -Dis_spark33=true clean assemblyAndCopy
+      - name: Test Spark NLP in Scala - Apache Spark 3.3.x
+        run: |
+          sbt -mem 4096 test
       - name: Test Spark NLP in Python - Apache Spark 3.3.x
         run: |
           cd python
@@ -99,7 +135,7 @@ jobs:
       - name: Build Spark NLP on Apache Spark 3.2.3
         run: |
           brew install sbt
-          sbt -mem 4096 clean assemblyAndCopy
+          sbt -mem 4096 -Dis_spark32=true clean assemblyAndCopy
       - name: Test Spark NLP in Scala - Apache Spark 3.2.x
         run: |
           sbt -mem 4096 test

project/Dependencies.scala

@@ -4,11 +4,12 @@ object Dependencies {
 
   /** ------- Spark version start ------- */
   /* default spark version to base the APIS */
-  val spark33Ver = "3.3.1"
+  val spark34Ver = "3.4.0"
   /* only used in unit tests */
   val spark30Ver = "3.0.3"
   val spark31Ver = "3.1.3"
   val spark32Ver = "3.2.3"
+  val spark33Ver = "3.3.1"
 
   /* required for different hardware */
   val is_gpu: String = System.getProperty("is_gpu", "false")
@@ -20,9 +21,10 @@ object Dependencies {
   val is_spark30: String = System.getProperty("is_spark30", "false")
   val is_spark31: String = System.getProperty("is_spark31", "false")
   val is_spark32: String = System.getProperty("is_spark32", "false")
-  val is_spark33: String = System.getProperty("is_spark33", "true")
+  val is_spark33: String = System.getProperty("is_spark33", "false")
+  val is_spark34: String = System.getProperty("is_spark34", "true")
 
-  val sparkVer: String = getSparkVersion(is_spark30, is_spark31, is_spark32, is_spark33)
+  val sparkVer: String = getSparkVersion(is_spark30, is_spark31, is_spark32, is_spark33, is_spark34)
 
   /** ------- Spark version end ------- */
 
@@ -43,16 +45,19 @@ object Dependencies {
       is_spark30: String,
       is_spark31: String,
       is_spark32: String,
-      is_spark33: String): String = {
+      is_spark33: String,
+      is_spark34: String): String = {
     if (is_spark30.equals("true")) {
       spark30Ver
     } else if (is_spark31.equals("true")) {
       spark31Ver
     } else if (is_spark32.equals("true")) {
       spark32Ver
+    } else if (is_spark33.equals("true")) {
+      spark33Ver
     } else {
       /* default spark version */
-      spark33Ver
+      spark34Ver
     }
   }
 

src/main/scala/com/johnsnowlabs/ml/tensorflow/sentencepiece/LoadSentencepiece.scala

@@ -17,7 +17,7 @@
 package com.johnsnowlabs.ml.tensorflow.sentencepiece
 
 import com.johnsnowlabs.nlp.util.io.ResourceHelper
-import org.apache.commons.lang.SystemUtils
+import org.apache.commons.lang3.SystemUtils
 import org.apache.spark.SparkFiles
 import org.apache.spark.sql.SparkSession
 import org.tensorflow.TensorFlow

src/main/scala/com/johnsnowlabs/nlp/annotators/MultiDateMatcher.scala

@@ -18,7 +18,7 @@ package com.johnsnowlabs.nlp.annotators
 
 import com.johnsnowlabs.nlp.util.regex.RuleFactory
 import com.johnsnowlabs.nlp.{Annotation, AnnotatorModel, HasSimpleAnnotate}
-import org.apache.commons.lang.time.DateUtils
+import org.apache.commons.lang3.time.DateUtils
 import org.apache.spark.ml.util.{DefaultParamsReadable, Identifiable}
 
 import java.text.SimpleDateFormat

src/main/scala/com/johnsnowlabs/nlp/annotators/ner/dl/LoadsContrib.scala

@@ -17,7 +17,7 @@
 package com.johnsnowlabs.nlp.annotators.ner.dl
 
 import com.johnsnowlabs.nlp.util.io.ResourceHelper
-import org.apache.commons.lang.SystemUtils
+import org.apache.commons.lang3.SystemUtils
 import org.apache.spark.SparkFiles
 import org.apache.spark.sql.SparkSession
 import org.tensorflow.TensorFlow

src/main/scala/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLApproach.scala

@@ -27,7 +27,7 @@ import com.johnsnowlabs.nlp.util.io.{OutputHelper, ResourceHelper}
 import com.johnsnowlabs.nlp.{AnnotatorApproach, AnnotatorType, ParamsAndFeaturesWritable}
 import com.johnsnowlabs.storage.HasStorageRef
 import org.apache.commons.io.IOUtils
-import org.apache.commons.lang.SystemUtils
+import org.apache.commons.lang3.SystemUtils
 import org.apache.spark.ml.PipelineModel
 import org.apache.spark.ml.param._
 import org.apache.spark.ml.util.{DefaultParamsReadable, Identifiable}

src/main/scala/com/johnsnowlabs/nlp/annotators/tokenizer/bpe/BpeTokenizer.scala

@@ -17,7 +17,7 @@
 package com.johnsnowlabs.nlp.annotators.tokenizer.bpe
 
 import com.johnsnowlabs.nlp.annotators.common.{IndexedToken, Sentence, TokenPiece}
-import org.apache.commons.lang.StringUtils
+import org.apache.commons.lang3.StringUtils
 
 import scala.collection.mutable
 import scala.collection.mutable.ListBuffer

src/main/scala/com/johnsnowlabs/nlp/annotators/tokenizer/normalizer/MosesPunctNormalizer.scala

@@ -16,7 +16,7 @@
 
 package com.johnsnowlabs.nlp.annotators.tokenizer.normalizer
 
-import org.apache.commons.lang.StringUtils
+import org.apache.commons.lang3.StringUtils
 
 import scala.util.matching.Regex
 

src/main/scala/com/johnsnowlabs/util/CoNLLGenerator.scala

@@ -20,7 +20,7 @@ import org.apache.spark.ml.PipelineModel
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.{DataFrame, Dataset, SparkSession}
 
-import org.apache.commons.lang.StringEscapeUtils.escapeJava
+import org.apache.commons.text.StringEscapeUtils.escapeJava
 import scala.collection.mutable.ArrayBuffer
 import scala.util.Try
 
@@ -89,6 +89,7 @@ object CoNLLGenerator {
     CoNLLDataset
       .coalesce(1)
       .write
+      .mode("overwrite")
       .format("com.databricks.spark.csv")
       .options(scala.collection.Map("delimiter" -> " ", "emptyValue" -> ""))
       .save(outputPath)

src/test/scala/com/johnsnowlabs/nlp/annotators/SparkSessionTest.scala

@@ -35,6 +35,8 @@ trait SparkSessionTest extends BeforeAndAfterAll { this: Suite =>
   val emptyDataSet: Dataset[_] = PipelineModels.dummyDataset
   val pipeline = new Pipeline()
 
+  println(s"Spark version: ${spark.version}")
+
   override def beforeAll(): Unit = {
     super.beforeAll()
 

src/test/scala/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingBehaviors.scala

@@ -168,7 +168,7 @@ trait NorvigSweetingBehaviors { this: AnyFlatSpec =>
           "Unknown exception. Please check Spark version for correct handling."
       }
 
-      assert(caught.getMessage == expectedErrorMessage)
+      assert(caught.getMessage.contains(expectedErrorMessage))
     }
   }
 

src/test/scala/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteBehaviors.scala

@@ -299,7 +299,7 @@ trait SymmetricDeleteBehaviors {
         spell.fit(trainDataSet)
       }
 
-      assert(caught.getMessage == expectedErrorMessage)
+      assert(caught.getMessage.contains(expectedErrorMessage))
     }
   }
 

src/test/scala/com/johnsnowlabs/nlp/util/CoNLLGeneratorTestSpec.scala

@@ -168,7 +168,7 @@ class CoNLLGeneratorTestSpec extends AnyFlatSpec {
     assert(fileContents == testNERText)
   }
 
-  "The generator" should "work even if token metadata has non-ints" in {
+  "The generator" should "work even if token metadata has non-ints" taggedAs SlowTest in {
     val df = ResourceHelper.spark.read.load(
       "src/test/resources/conllgenerator/conllgenerator_nonint_token_metadata.parquet")