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Support Lambda and add related array functions (#864)
* json function enhancement Signed-off-by: Heng Qian <[email protected]> * Add JavaToScalaTransformer Signed-off-by: Heng Qian <[email protected]> * Apply scalafmtAll Signed-off-by: Heng Qian <[email protected]> * Address comments Signed-off-by: Heng Qian <[email protected]> * Add IT and change to use the same function name as spark Signed-off-by: Heng Qian <[email protected]> * Address comments Signed-off-by: Heng Qian <[email protected]> * Add document and separate lambda functions from json functions Signed-off-by: Heng Qian <[email protected]> * Add lambda functions transform and reduce Signed-off-by: Heng Qian <[email protected]> * polish lambda function document Signed-off-by: Heng Qian <[email protected]> * polish lambda function document Signed-off-by: Heng Qian <[email protected]> * Minor fix Signed-off-by: Heng Qian <[email protected]> * Minor change to polish the documents Signed-off-by: Heng Qian <[email protected]> --------- Signed-off-by: Heng Qian <[email protected]>
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## Lambda Functions | ||
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### `FORALL` | ||
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**Description** | ||
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`forall(array, lambda)` Evaluates whether a lambda predicate holds for all elements in the array. | ||
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**Argument type:** ARRAY, LAMBDA | ||
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**Return type:** BOOLEAN | ||
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Returns `TRUE` if all elements in the array satisfy the lambda predicate, otherwise `FALSE`. | ||
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Example: | ||
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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 | | ||
+-----------+ | ||
|
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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 | | ||
+-----------+ | ||
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**Note:** The lambda expression can access the nested fields of the array elements. This applies to all lambda functions introduced in this document. | ||
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Consider constructing the following array: | ||
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array = [ | ||
{"a":1, "b":1}, | ||
{"a":-1, "b":2} | ||
] | ||
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and perform lambda functions against the nested fields `a` or `b`. See the examples: | ||
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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 | | ||
+-----------+ | ||
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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 | | ||
+-----------+ | ||
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### `EXISTS` | ||
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**Description** | ||
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`exists(array, lambda)` Evaluates whether a lambda predicate holds for one or more elements in the array. | ||
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**Argument type:** ARRAY, LAMBDA | ||
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**Return type:** BOOLEAN | ||
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Returns `TRUE` if at least one element in the array satisfies the lambda predicate, otherwise `FALSE`. | ||
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Example: | ||
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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 | | ||
+-----------+ | ||
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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 | | ||
+-----------+ | ||
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### `FILTER` | ||
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**Description** | ||
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`filter(array, lambda)` Filters the input array using the given lambda function. | ||
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**Argument type:** ARRAY, LAMBDA | ||
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**Return type:** ARRAY | ||
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An ARRAY that contains all elements in the input array that satisfy the lambda predicate. | ||
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Example: | ||
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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] | | ||
+-----------+ | ||
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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 | | ||
+-----------+ | ||
| [] | | ||
+-----------+ | ||
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### `TRANSFORM` | ||
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**Description** | ||
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`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. | ||
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**Argument type:** ARRAY, LAMBDA | ||
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**Return type:** ARRAY | ||
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An ARRAY that contains the result of applying the lambda transform function to each element in the input array. | ||
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Example: | ||
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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] | | ||
+--------------+ | ||
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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] | | ||
+--------------+ | ||
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### `REDUCE` | ||
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**Description** | ||
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`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. | ||
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**Argument type:** ARRAY, ANY, LAMBDA, LAMBDA | ||
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**Return type:** ANY | ||
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The final result of applying the lambda functions to the start value and the input array. | ||
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Example: | ||
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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 | | ||
+-----------+ | ||
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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 | | ||
+-----------+ | ||
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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 | | ||
+-----------+ |
132 changes: 132 additions & 0 deletions
132
...integration/scala/org/opensearch/flint/spark/ppl/FlintSparkPPLLambdaFunctionITSuite.scala
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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package org.opensearch.flint.spark.ppl | ||
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import org.apache.spark.sql.{QueryTest, Row} | ||
import org.apache.spark.sql.functions.{col, to_json} | ||
import org.apache.spark.sql.streaming.StreamTest | ||
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class FlintSparkPPLLambdaFunctionITSuite | ||
extends QueryTest | ||
with LogicalPlanTestUtils | ||
with FlintPPLSuite | ||
with StreamTest { | ||
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/** Test table and index name */ | ||
private val testTable = "spark_catalog.default.flint_ppl_test" | ||
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override def beforeAll(): Unit = { | ||
super.beforeAll() | ||
// Create test table | ||
createNullableJsonContentTable(testTable) | ||
} | ||
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protected override def afterEach(): Unit = { | ||
super.afterEach() | ||
// Stop all streaming jobs if any | ||
spark.streams.active.foreach { job => | ||
job.stop() | ||
job.awaitTermination() | ||
} | ||
} | ||
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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) | ||
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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) | ||
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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) | ||
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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) | ||
} | ||
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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) | ||
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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) | ||
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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) | ||
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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) | ||
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} | ||
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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) | ||
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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) | ||
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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) | ||
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assertSameRows(Seq(Row("""[{"a":1,"b":-1}]""")), frame3.select(to_json(col("result")))) | ||
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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")))) | ||
} | ||
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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) | ||
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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) | ||
} | ||
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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) | ||
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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) | ||
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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) | ||
} | ||
} |
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