Support Lambda and add related array functions

docs/ppl-lang/README.md

@@ -91,6 +91,8 @@ For additional examples see the next [documentation](PPL-Example-Commands.md).
     - [`Cryptographic Functions`](functions/ppl-cryptographic.md)
 
     - [`IP Address Functions`](functions/ppl-ip.md)
+
+    - [`Lambda Functions`](functions/ppl-lambda.md)
 
 ---
 ### PPL On Spark
@@ -109,4 +111,4 @@ See samples of [PPL queries](PPL-Example-Commands.md)
 
 ---
 ### PPL Project Roadmap
-[PPL Github Project Roadmap](https://github.com/orgs/opensearch-project/projects/214)
+[PPL Github Project Roadmap](https://github.com/orgs/opensearch-project/projects/214)

docs/ppl-lang/functions/ppl-lambda.md

@@ -0,0 +1,187 @@
+## Lambda Functions
+
+### `FORALL`
+
+**Description**
+
+`forall(array, lambda)` Evaluates whether a lambda predicate holds for all elements in the array.
+
+**Argument type:** ARRAY, LAMBDA
+
+**Return type:** BOOLEAN
+
+Returns `TRUE` if all elements in the array satisfy the lambda predicate, otherwise `FALSE`.
+
+Example:
+
+    os> source=people | eval array = json_array(1, -1, 2), result = forall(array, x -> x > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | false     |
+    +-----------+
+
+    os> source=people | eval array = json_array(1, 3, 2), result = forall(array, x -> x > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | true      |
+    +-----------+
+
+ **Note:** The lambda expression can access the nested fields of the array elements. This applies to all lambda functions introduced in this document.
+
+Consider constructing the following array:
+
+    array = [
+        {"a":1, "b":1},
+        {"a":-1, "b":2}
+    ]
+
+and perform lambda functions against the nested fields `a` or `b`. See the examples:
+
+    os> source=people | eval array = json_array(json_object("a", 1, "b", 1), json_object("a" , -1, "b", 2)), result = forall(array, x -> x.a > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | false     |
+    +-----------+
+
+    os> source=people | eval array = json_array(json_object("a", 1, "b", 1), json_object("a" , -1, "b", 2)), result = forall(array, x -> x.b > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | true      |
+    +-----------+
+
+### `EXISTS`
+
+**Description**
+
+`exists(array, lambda)` Evaluates whether a lambda predicate holds for one or more elements in the array.
+
+**Argument type:** ARRAY, LAMBDA
+
+**Return type:** BOOLEAN
+
+Returns `TRUE` if at least one element in the array satisfies the lambda predicate, otherwise `FALSE`.
+
+Example:
+
+    os> source=people | eval array = json_array(1, -1, 2), result = exists(array, x -> x > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | true      |
+    +-----------+
+
+    os> source=people | eval array = json_array(-1, -3, -2), result = exists(array, x -> x > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | false     |
+    +-----------+
+
+
+### `FILTER`
+
+**Description**
+
+`filter(array, lambda)`  Filters the input array using the given lambda function.
+
+**Argument type:** ARRAY, LAMBDA
+
+**Return type:** ARRAY
+
+An ARRAY that contains all elements in the input array that satisfy the lambda predicate.
+
+Example:
+
+    os> source=people | eval array = json_array(1, -1, 2), result = filter(array, x -> x > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | [1, 2]    |
+    +-----------+
+
+    os> source=people | eval array = json_array(-1, -3, -2), result = filter(array, x -> x > 0) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | []        |
+    +-----------+
+
+### `TRANSFORM`
+
+**Description**
+
+`transform(array, lambda)` Transform elements in an array using the lambda transform function. The second argument implies the index of the element if using binary lambda function. This is similar to a `map` in functional programming.
+
+**Argument type:** ARRAY, LAMBDA
+
+**Return type:** ARRAY
+
+An ARRAY that contains the result of applying the lambda transform function to each element in the input array.
+
+Example:
+
+    os> source=people | eval array = json_array(1, 2, 3), result = transform(array, x -> x + 1) | fields result
+    fetched rows / total rows = 1/1
+    +--------------+
+    | result       |
+    +--------------+
+    | [2, 3, 4]    |
+    +--------------+
+
+    os> source=people | eval array = json_array(1, 2, 3), result = transform(array, (x, i) -> x + i) | fields result
+    fetched rows / total rows = 1/1
+    +--------------+
+    | result       |
+    +--------------+
+    | [1, 3, 5]    |
+    +--------------+
+
+### `REDUCE`
+
+**Description**
+
+`reduce(array, start, merge_lambda, finish_lambda)` Applies a binary merge lambda function to a start value and all elements in the array, and reduces this to a single state. The final state is converted into the final result by applying a finish lambda function.
+
+**Argument type:** ARRAY, ANY, LAMBDA, LAMBDA
+
+**Return type:** ANY
+
+The final result of applying the lambda functions to the start value and the input array.
+
+Example:
+
+    os> source=people | eval array = json_array(1, 2, 3), result = reduce(array, 0, (acc, x) -> acc + x) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | 6         |
+    +-----------+
+
+    os> source=people | eval array = json_array(1, 2, 3), result = reduce(array, 10, (acc, x) -> acc + x) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | 16        |
+    +-----------+
+
+    os> source=people | eval array = json_array(1, 2, 3), result = reduce(array, 0, (acc, x) -> acc + x, acc -> acc * 10) | fields result
+    fetched rows / total rows = 1/1
+    +-----------+
+    | result    |
+    +-----------+
+    | 60        |
+    +-----------+

integ-test/src/integration/scala/org/opensearch/flint/spark/ppl/FlintSparkPPLLambdaFunctionITSuite.scala

@@ -0,0 +1,132 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.flint.spark.ppl
+
+import org.apache.spark.sql.{QueryTest, Row}
+import org.apache.spark.sql.functions.{col, to_json}
+import org.apache.spark.sql.streaming.StreamTest
+
+class FlintSparkPPLLambdaFunctionITSuite
+    extends QueryTest
+    with LogicalPlanTestUtils
+    with FlintPPLSuite
+    with StreamTest {
+
+  /** Test table and index name */
+  private val testTable = "spark_catalog.default.flint_ppl_test"
+
+  override def beforeAll(): Unit = {
+    super.beforeAll()
+    // Create test table
+    createNullableJsonContentTable(testTable)
+  }
+
+  protected override def afterEach(): Unit = {
+    super.afterEach()
+    // Stop all streaming jobs if any
+    spark.streams.active.foreach { job =>
+      job.stop()
+      job.awaitTermination()
+    }
+  }
+
+  test("test forall()") {
+    val frame = sql(s"""
+                       | source = $testTable | eval array = json_array(1,2,0,-1,1.1,-0.11), result = forall(array, x -> x > 0) | head 1 | fields result
+                       | """.stripMargin)
+    assertSameRows(Seq(Row(false)), frame)
+
+    val frame2 = sql(s"""
+                        | source = $testTable | eval array = json_array(1,2,0,-1,1.1,-0.11), result = forall(array, x -> x > -10) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(true)), frame2)
+
+    val frame3 = sql(s"""
+                        | source = $testTable | eval array = json_array(json_object("a",1,"b",-1),json_object("a",-1,"b",-1)), result = forall(array, x -> x.a > 0) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(false)), frame3)
+
+    val frame4 = sql(s"""
+                        | source = $testTable | eval array = json_array(json_object("a",1,"b",-1),json_object("a",-1,"b",-1)), result = exists(array, x -> x.b < 0) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(true)), frame4)
+  }
+
+  test("test exists()") {
+    val frame = sql(s"""
+                       | source = $testTable | eval array = json_array(1,2,0,-1,1.1,-0.11), result = exists(array, x -> x > 0) | head 1 | fields result
+                       | """.stripMargin)
+    assertSameRows(Seq(Row(true)), frame)
+
+    val frame2 = sql(s"""
+                        | source = $testTable | eval array = json_array(1,2,0,-1,1.1,-0.11), result = exists(array, x -> x > 10) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(false)), frame2)
+
+    val frame3 = sql(s"""
+                        | source = $testTable | eval array = json_array(json_object("a",1,"b",-1),json_object("a",-1,"b",-1)), result = exists(array, x -> x.a > 0) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(true)), frame3)
+
+    val frame4 = sql(s"""
+                        | source = $testTable | eval array = json_array(json_object("a",1,"b",-1),json_object("a",-1,"b",-1)), result = exists(array, x -> x.b > 0) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(false)), frame4)
+
+  }
+
+  test("test filter()") {
+    val frame = sql(s"""
+         | source = $testTable| eval array = json_array(1,2,0,-1,1.1,-0.11), result = filter(array, x -> x > 0) | head 1 | fields result
+         | """.stripMargin)
+    assertSameRows(Seq(Row(Seq(1, 2, 1.1))), frame)
+
+    val frame2 = sql(s"""
+         | source = $testTable| eval array = json_array(1,2,0,-1,1.1,-0.11), result = filter(array, x -> x > 10) | head 1 | fields result
+         | """.stripMargin)
+    assertSameRows(Seq(Row(Seq())), frame2)
+
+    val frame3 = sql(s"""
+         | source = $testTable| eval array = json_array(json_object("a",1,"b",-1),json_object("a",-1,"b",-1)), result = filter(array, x -> x.a > 0) | head 1 | fields result
+         | """.stripMargin)
+
+    assertSameRows(Seq(Row("""[{"a":1,"b":-1}]""")), frame3.select(to_json(col("result"))))
+
+    val frame4 = sql(s"""
+         | source = $testTable| eval array = json_array(json_object("a",1,"b",-1),json_object("a",-1,"b",-1)), result = filter(array, x -> x.b > 0) | head 1 | fields result
+         | """.stripMargin)
+    assertSameRows(Seq(Row("""[]""")), frame4.select(to_json(col("result"))))
+  }
+
+  test("test transform()") {
+    val frame = sql(s"""
+                       | source = $testTable | eval array = json_array(1,2,3), result = transform(array, x -> x + 1) | head 1 | fields result
+                       | """.stripMargin)
+    assertSameRows(Seq(Row(Seq(2, 3, 4))), frame)
+
+    val frame2 = sql(s"""
+                        | source = $testTable | eval array = json_array(1,2,3), result = transform(array, (x, y) -> x + y) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(Seq(1, 3, 5))), frame2)
+  }
+
+  test("test reduce()") {
+    val frame = sql(s"""
+                       | source = $testTable | eval array = json_array(1,2,3), result = reduce(array, 0, (acc, x) -> acc + x) | head 1 | fields result
+                       | """.stripMargin)
+    assertSameRows(Seq(Row(6)), frame)
+
+    val frame2 = sql(s"""
+                       | source = $testTable | eval array = json_array(1,2,3), result = reduce(array, 1, (acc, x) -> acc + x) | head 1 | fields result
+                       | """.stripMargin)
+    assertSameRows(Seq(Row(7)), frame2)
+
+    val frame3 = sql(s"""
+                        | source = $testTable | eval array = json_array(1,2,3), result = reduce(array, 0, (acc, x) -> acc + x, acc -> acc * 10) | head 1 | fields result
+                        | """.stripMargin)
+    assertSameRows(Seq(Row(60)), frame3)
+  }
+}

ppl-spark-integration/src/main/antlr4/OpenSearchPPLLexer.g4

@@ -203,6 +203,7 @@ RT_SQR_PRTHS:                       ']';
 SINGLE_QUOTE:                       '\'';
 DOUBLE_QUOTE:                       '"';
 BACKTICK:                           '`';
+ARROW:                              '->';
 
 // Operators. Bit
 
@@ -384,15 +385,22 @@ JSON_VALID:                         'JSON_VALID';
 //JSON_DELETE:                        'JSON_DELETE';
 //JSON_EXTEND:                        'JSON_EXTEND';
 //JSON_SET:                           'JSON_SET';
-//JSON_ARRAY_ALL_MATCH:               'JSON_ALL_MATCH';
-//JSON_ARRAY_ANY_MATCH:               'JSON_ANY_MATCH';
-//JSON_ARRAY_FILTER:                  'JSON_FILTER';
+//JSON_ARRAY_ALL_MATCH:               'JSON_ARRAY_ALL_MATCH';
+//JSON_ARRAY_ANY_MATCH:               'JSON_ARRAY_ANY_MATCH';
+//JSON_ARRAY_FILTER:                  'JSON_ARRAY_FILTER';
 //JSON_ARRAY_MAP:                     'JSON_ARRAY_MAP';
 //JSON_ARRAY_REDUCE:                  'JSON_ARRAY_REDUCE';
 
 // COLLECTION FUNCTIONS
 ARRAY:                              'ARRAY';
 
+// LAMBDA FUNCTIONS
+//EXISTS:                             'EXISTS';
+FORALL:                             'FORALL';
+FILTER:                             'FILTER';
+TRANSFORM:                          'TRANSFORM';
+REDUCE:                             'REDUCE';
+
 // BOOL FUNCTIONS
 LIKE:                               'LIKE';
 ISNULL:                             'ISNULL';