diff --git a/Dockerfile b/Dockerfile
index a7a236a..bdd9099 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -16,12 +16,14 @@ RUN pip3 --version
 RUN java -version
 RUN pip install poetry==1.7.1
 
-COPY . /python-deequ
+RUN mkdir python-deequ
+COPY pyproject.toml /python-deequ
+COPY poetry.lock /python-deequ
 WORKDIR python-deequ
 
-RUN poetry lock --no-update
-RUN poetry install
-RUN poetry add pyspark==3.3
+RUN poetry install -vvv
+RUN poetry add pyspark==3.3 -vvv
 
 ENV SPARK_VERSION=3.3
+COPY . /python-deequ
 CMD poetry run python -m pytest -s tests
diff --git a/pydeequ/analyzers.py b/pydeequ/analyzers.py
index efd1361..4289094 100644
--- a/pydeequ/analyzers.py
+++ b/pydeequ/analyzers.py
@@ -10,7 +10,7 @@
 from pydeequ.repository import MetricsRepository, ResultKey
 from enum import Enum
 from pydeequ.scala_utils import to_scala_seq
-
+from pydeequ.configs import SPARK_VERSION
 
 class _AnalyzerObject:
     """
@@ -303,7 +303,19 @@ def _analyzer_jvm(self):
 
         :return self
         """
-        return self._deequAnalyzers.Compliance(self.instance, self.predicate, self._jvm.scala.Option.apply(self.where))
+        if SPARK_VERSION == "3.3":
+            return self._deequAnalyzers.Compliance(
+                self.instance,
+                self.predicate,
+                self._jvm.scala.Option.apply(self.where),
+                self._jvm.scala.collection.Seq.empty()
+            )
+        else:
+            return self._deequAnalyzers.Compliance(
+                self.instance,
+                self.predicate,
+                self._jvm.scala.Option.apply(self.where)
+            )
 
 
 class Correlation(_AnalyzerObject):
@@ -457,12 +469,22 @@ def _analyzer_jvm(self):
         """
         if not self.maxDetailBins:
             self.maxDetailBins = getattr(self._jvm.com.amazon.deequ.analyzers.Histogram, "apply$default$3")()
-        return self._deequAnalyzers.Histogram(
-            self.column,
-            self._jvm.scala.Option.apply(self.binningUdf),
-            self.maxDetailBins,
-            self._jvm.scala.Option.apply(self.where),
-        )
+        if SPARK_VERSION == "3.3":
+            return self._deequAnalyzers.Histogram(
+                self.column,
+                self._jvm.scala.Option.apply(self.binningUdf),
+                self.maxDetailBins,
+                self._jvm.scala.Option.apply(self.where),
+                getattr(self._jvm.com.amazon.deequ.analyzers.Histogram, "apply$default$5")(),
+                getattr(self._jvm.com.amazon.deequ.analyzers.Histogram, "apply$default$6")()
+            )
+        else:
+            return self._deequAnalyzers.Histogram(
+                self.column,
+                self._jvm.scala.Option.apply(self.binningUdf),
+                self.maxDetailBins,
+                self._jvm.scala.Option.apply(self.where)
+            )
 
 
 class KLLParameters:
@@ -553,7 +575,17 @@ def _analyzer_jvm(self):
 
         :return self
         """
-        return self._deequAnalyzers.MaxLength(self.column, self._jvm.scala.Option.apply(self.where))
+        if SPARK_VERSION == "3.3":
+            return self._deequAnalyzers.MaxLength(
+                self.column,
+                self._jvm.scala.Option.apply(self.where),
+                self._jvm.scala.Option.apply(None)
+            )
+        else:
+            return self._deequAnalyzers.MaxLength(
+                self.column,
+                self._jvm.scala.Option.apply(self.where)
+            )
 
 
 class Mean(_AnalyzerObject):
@@ -619,7 +651,17 @@ def _analyzer_jvm(self):
 
         :return self
         """
-        return self._deequAnalyzers.MinLength(self.column, self._jvm.scala.Option.apply(self.where))
+        if SPARK_VERSION == "3.3":
+            return self._deequAnalyzers.MinLength(
+                self.column,
+                self._jvm.scala.Option.apply(self.where),
+                self._jvm.scala.Option.apply(None)
+            )
+        else:
+            return self._deequAnalyzers.MinLength(
+                self.column,
+                self._jvm.scala.Option.apply(self.where)
+            )
 
 
 class MutualInformation(_AnalyzerObject):
diff --git a/pydeequ/checks.py b/pydeequ/checks.py
index abf94d0..a95c178 100644
--- a/pydeequ/checks.py
+++ b/pydeequ/checks.py
@@ -6,7 +6,7 @@
 
 from pydeequ.check_functions import is_one
 from pydeequ.scala_utils import ScalaFunction1, to_scala_seq
-
+from pydeequ.configs import SPARK_VERSION
 
 # TODO implement custom assertions
 # TODO implement all methods without outside class dependencies
@@ -418,7 +418,11 @@ def hasMinLength(self, column, assertion, hint=None):
         """
         assertion_func = ScalaFunction1(self._spark_session.sparkContext._gateway, assertion)
         hint = self._jvm.scala.Option.apply(hint)
-        self._Check = self._Check.hasMinLength(column, assertion_func, hint)
+        if SPARK_VERSION == "3.3":
+            self._Check = self._Check.hasMinLength(column, assertion_func, hint, self._jvm.scala.Option.apply(None))
+        else:
+            self._Check = self._Check.hasMinLength(column, assertion_func, hint)
+
         return self
 
     def hasMaxLength(self, column, assertion, hint=None):
@@ -433,7 +437,10 @@ def hasMaxLength(self, column, assertion, hint=None):
         """
         assertion_func = ScalaFunction1(self._spark_session.sparkContext._gateway, assertion)
         hint = self._jvm.scala.Option.apply(hint)
-        self._Check = self._Check.hasMaxLength(column, assertion_func, hint)
+        if SPARK_VERSION == "3.3":
+            self._Check = self._Check.hasMaxLength(column, assertion_func, hint, self._jvm.scala.Option.apply(None))
+        else:
+            self._Check = self._Check.hasMaxLength(column, assertion_func, hint)
         return self
 
     def hasMin(self, column, assertion, hint=None):
@@ -558,7 +565,21 @@ def satisfies(self, columnCondition, constraintName, assertion=None, hint=None):
             else getattr(self._Check, "satisfies$default$3")()
         )
         hint = self._jvm.scala.Option.apply(hint)
-        self._Check = self._Check.satisfies(columnCondition, constraintName, assertion_func, hint)
+        if SPARK_VERSION == "3.3":
+            self._Check = self._Check.satisfies(
+                columnCondition,
+                constraintName,
+                assertion_func,
+                hint,
+                self._jvm.scala.collection.Seq.empty()
+            )
+        else:
+            self._Check = self._Check.satisfies(
+                columnCondition,
+                constraintName,
+                assertion_func,
+                hint
+            )
         return self
 
     def hasPattern(self, column, pattern, assertion=None, name=None, hint=None):
diff --git a/pydeequ/configs.py b/pydeequ/configs.py
index c3c885d..49cb277 100644
--- a/pydeequ/configs.py
+++ b/pydeequ/configs.py
@@ -5,7 +5,7 @@
 
 
 SPARK_TO_DEEQU_COORD_MAPPING = {
-    "3.3": "com.amazon.deequ:deequ:2.0.3-spark-3.3",
+    "3.3": "com.amazon.deequ:deequ:2.0.4-spark-3.3",
     "3.2": "com.amazon.deequ:deequ:2.0.1-spark-3.2",
     "3.1": "com.amazon.deequ:deequ:2.0.0-spark-3.1",
     "3.0": "com.amazon.deequ:deequ:1.2.2-spark-3.0",
@@ -40,5 +40,6 @@ def _get_deequ_maven_config():
         )
 
 
+SPARK_VERSION = _get_spark_version()
 DEEQU_MAVEN_COORD = _get_deequ_maven_config()
 IS_DEEQU_V1 = re.search("com\.amazon\.deequ\:deequ\:1.*", DEEQU_MAVEN_COORD) is not None
diff --git a/pydeequ/profiles.py b/pydeequ/profiles.py
index a4a2056..fbbfd84 100644
--- a/pydeequ/profiles.py
+++ b/pydeequ/profiles.py
@@ -241,7 +241,9 @@ def __init__(self, spark_session: SparkSession):
         self._profiles = []
         self.columnProfileClasses = {
             "StandardColumnProfile": StandardColumnProfile,
+            "StringColumnProfile": StandardColumnProfile,
             "NumericColumnProfile": NumericColumnProfile,
+
         }
 
     def _columnProfilesFromColumnRunBuilderRun(self, run):