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Posted to reviews@spark.apache.org by "zhenlineo (via GitHub)" <gi...@apache.org> on 2023/03/24 00:36:52 UTC
[GitHub] [spark] zhenlineo commented on a diff in pull request #40355: [SPARK-42604][CONNECT] Implement functions.typedlit
zhenlineo commented on code in PR #40355:
URL: https://github.com/apache/spark/pull/40355#discussion_r1147007659
##########
connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala:
##########
@@ -2069,6 +2069,55 @@ class PlanGenerationTestSuite
fn.lit(Array(new CalendarInterval(2, 20, 100L), new CalendarInterval(2, 21, 200L))))
}
+ test("function typedLit") {
+ simple.select(
+ fn.typedLit(fn.col("id")),
+ fn.typedLit('id),
+ fn.typedLit(1),
+ fn.typedLit[String](null),
+ fn.typedLit(true),
+ fn.typedLit(68.toByte),
+ fn.typedLit(9872.toShort),
+ fn.typedLit(-8726532),
+ fn.typedLit(7834609328726532L),
+ fn.typedLit(Math.E),
+ fn.typedLit(-0.8f),
+ fn.typedLit(BigDecimal(8997620, 5)),
+ fn.typedLit(BigDecimal(898897667231L, 7).bigDecimal),
+ fn.typedLit("connect!"),
+ fn.typedLit('T'),
+ fn.typedLit(Array.tabulate(10)(i => ('A' + i).toChar)),
+ fn.typedLit(Array.tabulate(23)(i => (i + 120).toByte)),
+ fn.typedLit(mutable.WrappedArray.make(Array[Byte](8.toByte, 6.toByte))),
+ fn.typedLit(null),
+ fn.typedLit(java.time.LocalDate.of(2020, 10, 10)),
+ fn.typedLit(Decimal.apply(BigDecimal(8997620, 6))),
+ fn.typedLit(java.time.Instant.ofEpochMilli(1677155519808L)),
+ fn.typedLit(new java.sql.Timestamp(12345L)),
+ fn.typedLit(java.time.LocalDateTime.of(2023, 2, 23, 20, 36)),
+ fn.typedLit(java.sql.Date.valueOf("2023-02-23")),
+ fn.typedLit(java.time.Duration.ofSeconds(200L)),
+ fn.typedLit(java.time.Period.ofDays(100)),
+ fn.typedLit(new CalendarInterval(2, 20, 100L)),
+
+ // Handle parameterized scala types e.g.: List, Seq and Map.
+ fn.typedLit(Some(1)),
+ fn.typedLit(Array(1, 2, 3)),
+ fn.typedLit(Seq(1, 2, 3)),
+ fn.typedLit(Map("a" -> 1, "b" -> 2)),
+ fn.typedLit(("a", 2, 1.0)),
Review Comment:
Do we plan to support named struct too? e.g. `{"a":1,"b":2,"c":3}`
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