diff --git a/src/main/java/com/snowflake/snowpark_java/Functions.java b/src/main/java/com/snowflake/snowpark_java/Functions.java index 65f50020..41c38135 100644 --- a/src/main/java/com/snowflake/snowpark_java/Functions.java +++ b/src/main/java/com/snowflake/snowpark_java/Functions.java @@ -3882,6 +3882,119 @@ public static Column listagg(Column col) { } /** + + * Signature - snowflake.snowpark.functions.regexp_extract (value: Union[Column, str], regexp: + * Union[Column, str], idx: int) Column Extract a specific group matched by a regex, from the + * specified string column. If the regex did not match, or the specified group did not match, an + * empty string is returned. + * Example: + * 
{@code
+   * from snowflake.snowpark.functions import regexp_extract
+   * df = session.createDataFrame([["id_20_30", 10], ["id_40_50", 30]], ["id", "age"])
+   * df.select(regexp_extract("id", r"(\d+)", 1).alias("RES")).show()
+   *    ---------
+   *     |"RES"  |
+   *     ---------
+   *     |20     |
+   *     |40     |
+   *     ---------
+   * }
+   *
+   * @since 1.12.1
+   * @return Column object.
+   */
+  public static Column regexp_extract(
+      Column col, String exp, Integer position, Integer Occurences, Integer grpIdx) {
+    return new Column(
+        com.snowflake.snowpark.functions.regexp_extract(
+            col.toScalaColumn(), exp, position, Occurences, grpIdx));
+  }
+
+  /**
+   * Returns the sign of its argument:
+   *
+   * 
- -1 if the argument is negative. - 1 if it is positive. - 0 if it is 0.
+   *
+   * 
Args: col: The column to evaluate its sign
+   *  Example::
+   * * 
{@code df =
+   * session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"]) >>>
+   * df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"),
+   * sign("c").alias("c_sign")).show()
+   *   ----------------------------------
+   *     |"A_SIGN"  |"B_SIGN"  |"C_SIGN"  |
+   *     ----------------------------------
+   *     |-1        |1         |0         |
+   *     ----------------------------------
+   * }
+   *
+   * @since 1.12.1
+   * @param e Column to calculate the sign.
+   * @return Column object.
+   */
+  public static Column signum(Column col) {
+    return new Column(com.snowflake.snowpark.functions.signum(col.toScalaColumn()));
+  }
+
+  /**
+   * Returns the sign of its argument:
+   *
+   * 
- -1 if the argument is negative. - 1 if it is positive. - 0 if it is 0.
+   *
+   * 
Args: col: The column to evaluate its sign
+   * Example::
+   * 
{@code df =
+   * session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"]) >>>
+   * df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"),
+   * sign("c").alias("c_sign")).show()
+   *   ----------------------------------
+   *     |"A_SIGN"  |"B_SIGN"  |"C_SIGN"  |
+   *     ----------------------------------
+   *     |-1        |1         |0         |
+   *     ----------------------------------
+   * }
+   *
+   * @since 1.12.1
+   * @param e Column to calculate the sign.
+   * @return Column object.
+   */
+  public static Column sign(Column col) {
+    return new Column(com.snowflake.snowpark.functions.sign(col.toScalaColumn()));
+  }
+
+  /**
+   * Returns the substring from string str before count occurrences of the delimiter delim. If count
+   * is positive, everything the left of the final delimiter (counting from left) is returned. If
+   * count is negative, every to the right of the final delimiter (counting from the right) is
+   * returned. substring_index performs a case-sensitive match when searching for delim.
+   *
+   * @since 1.12.1
+   */
+  public static Column substring_index(Column col, String delim, Integer count) {
+    return new Column(
+        com.snowflake.snowpark.functions.substring_index(col.toScalaColumn(), delim, count));
+  }
+
+  /**
+   * Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is
+   * returned.
+   *
+   * 
Example::
+   *
+   * 
{@code
+   * df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
+   * df.select(array_agg("a", True).alias("result")).show()
+   * "RESULT" [ 1, 2, 3 ]
+   * }

+   *
+   * @since 1.10.0
+   * @param c Column to be collect.
+   * @return The array.
+   */
+  public static Column collect_list(Column col) {
+    return new Column(com.snowflake.snowpark.functions.collect_list(col.toScalaColumn()));
+  }
+
    * Returns a Column expression with values sorted in descending order.
    *
    * 
Example: order column values in descending
@@ -4053,6 +4166,7 @@ public static Column last(Column col) {
     return new Column(functions.last(col.toScalaColumn()));
   }
 
+
   /**
    * Calls a user-defined function (UDF) by name.
    *
diff --git a/src/main/scala/com/snowflake/snowpark/functions.scala b/src/main/scala/com/snowflake/snowpark/functions.scala
index 5c6f599f..a28be119 100644
--- a/src/main/scala/com/snowflake/snowpark/functions.scala
+++ b/src/main/scala/com/snowflake/snowpark/functions.scala
@@ -3142,6 +3142,192 @@ object functions {
   def listagg(col: Column): Column = listagg(col, "", isDistinct = false)
 
   /**
+
+   * Signature - snowflake.snowpark.functions.regexp_extract
+   * (value: Union[Column, str], regexp: Union[Column, str], idx: int)
+   *   Column
+   * Extract a specific group matched by a regex, from the specified string
+   * column. If the regex did not match, or the specified group did not match,
+   * an empty string is returned.
+   * Example:
+   * from snowflake.snowpark.functions import regexp_extract
+   * df = session.createDataFrame([["id_20_30", 10], ["id_40_50", 30]],
+   *  ["id", "age"])
+   * df.select(regexp_extract("id", r"(\d+)", 1).alias("RES")).show()
+   *
+   *
+   *     ---------
+   *     |"RES"  |
+   *     ---------
+   *     |20     |
+   *     |40     |
+   *     ---------
+   *
+   * Note: non-greedy tokens such as  are not supported
+   * @since 1.12.1
+   * @return Column object.
+   */
+  def regexp_extract(
+      colName: Column,
+      exp: String,
+      position: Int,
+      Occurences: Int,
+      grpIdx: Int): Column = {
+    when(colName.is_null, lit(null))
+      .otherwise(
+        coalesce(
+          builtin("REGEX_SUBSTR")(
+            colName,
+            lit(exp),
+            lit(position),
+            lit(Occurences),
+            lit("ce"),
+            lit(grpIdx)),
+          lit("")))
+  }
+
+  /**
+   *    Returns the sign of its argument:
+   *
+   *     - -1 if the argument is negative.
+   *     - 1 if it is positive.
+   *     - 0 if it is 0.
+   *
+   * Args:
+   *     col: The column to evaluate its sign
+   *
+   * Example::
+   *     >>> df = session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"])
+   *     >>> df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"),
+   * sign("c").alias("c_sign")).show()
+   *     ----------------------------------
+   *     |"A_SIGN"  |"B_SIGN"  |"C_SIGN"  |
+   *     ----------------------------------
+   *     |-1        |1         |0         |
+   *     ----------------------------------
+   * 
+   * @since 1.12.1
+   * @param e Column to calculate the sign.
+   * @return Column object.
+   */
+  def sign(colName: Column): Column = {
+    builtin("SIGN")(colName)
+  }
+
+  /**
+   *    Returns the sign of its argument:
+   *
+   *     - -1 if the argument is negative.
+   *     - 1 if it is positive.
+   *     - 0 if it is 0.
+   *
+   * Args:
+   *     col: The column to evaluate its sign
+   *
+   * Example::
+   *     >>> df = session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"])
+   *     >>> df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"),
+   * sign("c").alias("c_sign")).show()
+   *     ----------------------------------
+   *     |"A_SIGN"  |"B_SIGN"  |"C_SIGN"  |
+   *     ----------------------------------
+   *     |-1        |1         |0         |
+   *     ----------------------------------
+   * 
+   * @since 1.12.1
+   * @param e Column to calculate the sign.
+   * @return Column object.
+   */
+  def signum(colName: Column): Column = {
+    builtin("SIGN")(colName)
+  }
+
+  /**
+   * Returns the sign of the given column. Returns either 1 for positive,
+   *  0 for 0 or
+   * NaN, -1 for negative and null for null.
+   * NOTE: if string values are provided snowflake will attempts to cast.
+   *  If it casts correctly, returns the calculation,
+   *  if not an error will be thrown
+   * @since 1.12.1
+   * @param columnName Name of the column to calculate the sign.
+   * @return Column object.
+   */
+  def signum(columnName: String): Column = {
+    signum(col(columnName))
+  }
+
+  /**
+   * Returns the substring from string str before count occurrences
+   * of the delimiter delim. If count is positive,
+   * everything the left of the final delimiter (counting from left)
+   *  is returned. If count is negative, every to the right of the
+   * final delimiter (counting from the right) is returned.
+   * substring_index performs a case-sensitive match when searching for delim.
+   *   @since 1.12.1
+   */
+  def substring_index(str: Column, delim: String, count: Int): Column = {
+    when(
+      lit(count) < lit(0),
+      callBuiltin(
+        "substring",
+        lit(str),
+        callBuiltin("regexp_instr", sqlExpr(s"reverse(${str}, ${delim}, 1, abs(${count}), 0"))))
+      .otherwise(
+        callBuiltin(
+          "substring",
+          lit(str),
+          1,
+          callBuiltin("regexp_instr", col("str"), lit(delim), 1, lit(count), 1)))
+  }
+
+  /**
+   *
+   * Returns the input values, pivoted into an ARRAY. If the input is empty, an empty
+   * ARRAY is returned.
+   *
+   * Example::
+   *     >>> df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
+   *     >>> df.select(array_agg("a", True).alias("result")).show()
+   *     ------------
+   *     |"RESULT"  |
+   *     ------------
+   *     |[         |
+   *     |  1,      |
+   *     |  2,      |
+   *     |  3       |
+   *     |]         |
+   *     ------------
+   * 
+   * @since 1.10.0
+   * @param c Column to be collect.
+   * @return The array.
+   */
+  def collect_list(c: Column): Column = array_agg(c)
+
+  /**
+   *
+   * Returns the input values, pivoted into an ARRAY. If the input is empty, an empty
+   * ARRAY is returned.
+   *
+   * Example::
+   *     >>> df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
+   *     >>> df.select(array_agg("a", True).alias("result")).show()
+   *     ------------
+   *     |"RESULT"  |
+   *     ------------
+   *     |[         |
+   *     |  1,      |
+   *     |  2,      |
+   *     |  3       |
+   *     |]         |
+   *     ------------
+   * @since 1.10.0
+   * @param s Column name to be collected.
+   * @return The array.
+   */
+  def collect_list(s: String): Column = array_agg(col(s))
+
    * Returns a Column expression with values sorted in descending order.
    * Example:
    * {{{
@@ -3312,6 +3498,7 @@ object functions {
   def last(c: Column): Column =
     builtin("LAST_VALUE")(c)
 
+
   /**
    * Invokes a built-in snowflake function with the specified name and arguments.
    * Arguments can be of two types
diff --git a/src/test/java/com/snowflake/snowpark_test/JavaFunctionSuite.java b/src/test/java/com/snowflake/snowpark_test/JavaFunctionSuite.java
index 624ea481..954cb278 100644
--- a/src/test/java/com/snowflake/snowpark_test/JavaFunctionSuite.java
+++ b/src/test/java/com/snowflake/snowpark_test/JavaFunctionSuite.java
@@ -2766,6 +2766,54 @@ public void any_value() {
   }
 
   @Test
+
+  public void regexp_extract() {
+    DataFrame df = getSession().sql("select * from values('A MAN A PLAN A CANAL') as T(a)");
+    Row[] expected = {Row.create("MAN")};
+    checkAnswer(
+        df.select(Functions.regexp_extract(df.col("a"), "A\\W+(\\w+)", 1, 1, 1)), expected, false);
+    Row[] expected2 = {Row.create("PLAN")};
+    checkAnswer(
+        df.select(Functions.regexp_extract(df.col("a"), "A\\W+(\\w+)", 1, 2, 1)), expected2, false);
+    Row[] expected3 = {Row.create("CANAL")};
+    checkAnswer(
+        df.select(Functions.regexp_extract(df.col("a"), "A\\W+(\\w+)", 1, 2, 1)), expected3, false);
+    Row[] expected4 = {Row.create(null)};
+    checkAnswer(
+        df.select(Functions.regexp_extract(df.col("a"), "A\\W+(\\w+)", 1, 3, 1)), expected4, false);
+  }
+
+  @Test
+  public void signum() {
+    DataFrame df = getSession().sql("select * from values(1,-2,0) as T(a)");
+    checkAnswer(df.select(Functions.signum(df.col("a"))), new Row[] {Row.create(1, -1, 0)}, false);
+  }
+
+  @Test
+  public void sign() {
+    DataFrame df = getSession().sql("select * from values(1,-2,0) as T(a)");
+    checkAnswer(df.select(Functions.sign(df.col("a"))), new Row[] {Row.create(1, -1, 0)}, false);
+  }
+
+  @Test
+  public void collect_list() {
+    DataFrame df = getSession().sql("select * from values(10000,400,450) as T(a)");
+    checkAnswer(
+        df.select(Functions.collect_list(df.col("a"))),
+        new Row[] {Row.create("[\n  \"10000,400,450\"\n]")},
+        false);
+  }
+
+  @Test
+  public void substring_index() {
+    DataFrame df =
+        getSession()
+            .sql(
+                "select * from values ('It was the best of times,it was the worst of times') as T(a)");
+    checkAnswer(
+        df.select(Functions.substring_index(df.col("a"), "was", 1)),
+        new Row[] {Row.create(7)},
+
   public void test_asc() {
     DataFrame df = getSession().sql("select * from values(3),(1),(2) as t(a)");
     Row[] expected = {Row.create(1), Row.create(2), Row.create(3)};
@@ -2826,6 +2874,7 @@ public void last() {
             Functions.last(df.col("name"))
                 .over(Window.partitionBy(df.col("grade")).orderBy(df.col("score").desc()))),
         expected,
+
         false);
   }
 }
diff --git a/src/test/scala/com/snowflake/snowpark_test/FunctionSuite.scala b/src/test/scala/com/snowflake/snowpark_test/FunctionSuite.scala
index 8a89d87b..22f474ea 100644
--- a/src/test/scala/com/snowflake/snowpark_test/FunctionSuite.scala
+++ b/src/test/scala/com/snowflake/snowpark_test/FunctionSuite.scala
@@ -2177,7 +2177,51 @@ trait FunctionSuite extends TestData {
       expected,
       sort = false)
   }
+  test("regexp_extract") {
+    val data = Seq("A MAN A PLAN A CANAL").toDF("a")
+    var expected = Seq(Row("MAN"))
+    checkAnswer(
+      data.select(regexp_extract(col("a"), "A\\W+(\\w+)", 1, 1, 1)),
+      expected,
+      sort = false)
+    expected = Seq(Row("PLAN"))
+    checkAnswer(
+      data.select(regexp_extract(col("a"), "A\\W+(\\w+)", 1, 2, 1)),
+      expected,
+      sort = false)
+    expected = Seq(Row("CANAL"))
+    checkAnswer(
+      data.select(regexp_extract(col("a"), "A\\W+(\\w+)", 1, 3, 1)),
+      expected,
+      sort = false)
 
+
+    expected = Seq(Row(null))
+    checkAnswer(
+      data.select(regexp_extract(col("a"), "A\\W+(\\w+)", 1, 4, 1)),
+      expected,
+      sort = false)
+  }
+  test("signum") {
+    val df = Seq(1, -2, 0).toDF("a")
+    checkAnswer(df.select(signum(col("a"))), Seq(Row(1), Row(-1), Row(0)), sort = false)
+  }
+  test("sign") {
+    val df = Seq(1, -2, 0).toDF("a")
+    checkAnswer(df.select(sign(col("a"))), Seq(Row(1), Row(-1), Row(0)), sort = false)
+  }
+
+  test("collect_list") {
+    assert(monthlySales.select(collect_list(col("amount"))).collect()(0).get(0).toString ==
+      "[\n  10000,\n  400,\n  4500,\n  35000,\n  5000,\n  3000,\n  200,\n  90500,\n  6000,\n  " +
+        "5000,\n  2500,\n  9500,\n  8000,\n  10000,\n  800,\n  4500\n]")
+
+  }
+  test("substring_index") {
+    val df = Seq("It was the best of times, it was the worst of times").toDF("a")
+    checkAnswer(df.select(substring_index(col("a"), "was", 1)), Seq(Row(7)), sort = false)
+  }
+  
   test("desc column order") {
     val input = Seq(1, 2, 3).toDF("data")
     val expected = Seq(3, 2, 1).toDF("data")
@@ -2245,6 +2289,7 @@ trait FunctionSuite extends TestData {
       sort = false)
   }
 
+
 }
 
 class EagerFunctionSuite extends FunctionSuite with EagerSession