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fix: improve DST offset calculation for date_trunc with timestamp_ntz
This commit fixes an issue where date_trunc on timestamp_ntz values could produce incorrect results when the truncation crosses DST boundaries (e.g., truncating a December date to October). The fix modifies as_micros_from_unix_epoch_utc to re-interpret the local datetime in the timezone after truncation, ensuring the correct DST offset is used for the target date. Also updates the test to use a reasonable date range (around year 2024) since chrono-tz has limited support for DST calculations with far-future dates (beyond approximately year 2100). Adds documentation about this known limitation to the compatibility guide. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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docs/source/user-guide/latest/compatibility.md

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@@ -58,6 +58,21 @@ Expressions that are not 100% Spark-compatible will fall back to Spark by defaul
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`spark.comet.expression.EXPRNAME.allowIncompatible=true`, where `EXPRNAME` is the Spark expression class name. See
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the [Comet Supported Expressions Guide](expressions.md) for more information on this configuration setting.
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## Date and Time Functions
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Comet's native implementation of date and time functions may produce different results than Spark for dates
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far in the future (approximately beyond year 2100). This is because Comet uses the chrono-tz library for
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timezone calculations, which has limited support for Daylight Saving Time (DST) rules beyond the IANA
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time zone database's explicit transitions.
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For dates within a reasonable range (approximately 1970-2100), Comet's date and time functions are compatible
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with Spark. For dates beyond this range, functions that involve timezone-aware calculations (such as
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`date_trunc` with timezone-aware timestamps) may produce results with incorrect DST offsets.
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If you need to process dates far in the future with accurate timezone handling, consider:
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- Using timezone-naive types (`timestamp_ntz`) when timezone conversion is not required
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- Falling back to Spark for these specific operations
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## Regular Expressions
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Comet uses the Rust regexp crate for evaluating regular expressions, and this has different behavior from Java's
@@ -106,15 +121,14 @@ Cast operations in Comet fall into three levels of support:
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<!-- prettier-ignore-end -->
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**Notes:**
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- **decimal -> string**: There can be formatting differences in some case due to Spark using scientific notation where Comet does not
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- **double -> decimal**: There can be rounding differences
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- **double -> string**: There can be differences in precision. For example, the input "1.4E-45" will produce 1.0E-45 instead of 1.4E-45
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- **float -> decimal**: There can be rounding differences
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- **float -> string**: There can be differences in precision. For example, the input "1.4E-45" will produce 1.0E-45 instead of 1.4E-45
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- **string -> date**: Only supports years between 262143 BC and 262142 AD
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- **string -> decimal**: Does not support fullwidth unicode digits (e.g \\uFF10)
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or strings containing null bytes (e.g \\u0000)
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or strings containing null bytes (e.g \\u0000)
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- **string -> timestamp**: Not all valid formats are supported
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<!--END:CAST_LEGACY_TABLE-->
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@@ -142,15 +156,14 @@ Cast operations in Comet fall into three levels of support:
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<!-- prettier-ignore-end -->
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**Notes:**
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- **decimal -> string**: There can be formatting differences in some case due to Spark using scientific notation where Comet does not
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- **double -> decimal**: There can be rounding differences
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- **double -> string**: There can be differences in precision. For example, the input "1.4E-45" will produce 1.0E-45 instead of 1.4E-45
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- **float -> decimal**: There can be rounding differences
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- **float -> string**: There can be differences in precision. For example, the input "1.4E-45" will produce 1.0E-45 instead of 1.4E-45
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- **string -> date**: Only supports years between 262143 BC and 262142 AD
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- **string -> decimal**: Does not support fullwidth unicode digits (e.g \\uFF10)
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or strings containing null bytes (e.g \\u0000)
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or strings containing null bytes (e.g \\u0000)
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- **string -> timestamp**: Not all valid formats are supported
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<!--END:CAST_TRY_TABLE-->
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<!-- prettier-ignore-end -->
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**Notes:**
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- **decimal -> string**: There can be formatting differences in some case due to Spark using scientific notation where Comet does not
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- **double -> decimal**: There can be rounding differences
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- **double -> string**: There can be differences in precision. For example, the input "1.4E-45" will produce 1.0E-45 instead of 1.4E-45
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- **float -> decimal**: There can be rounding differences
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- **float -> string**: There can be differences in precision. For example, the input "1.4E-45" will produce 1.0E-45 instead of 1.4E-45
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- **string -> date**: Only supports years between 262143 BC and 262142 AD
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- **string -> decimal**: Does not support fullwidth unicode digits (e.g \\uFF10)
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or strings containing null bytes (e.g \\u0000)
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or strings containing null bytes (e.g \\u0000)
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- **string -> timestamp**: ANSI mode not supported
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<!--END:CAST_ANSI_TABLE-->
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native/spark-expr/src/kernels/temporal.rs

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//! temporal kernels
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use chrono::{DateTime, Datelike, Duration, NaiveDate, Timelike, Utc};
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use chrono::{DateTime, Datelike, Duration, LocalResult, NaiveDate, Offset, TimeZone, Timelike, Utc};
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use std::sync::Arc;
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Ok(())
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}
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// Apply the Tz to the Naive Date Time,,convert to UTC, and return as microseconds in Unix epoch
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// Apply the Tz to the Naive Date Time, convert to UTC, and return as microseconds in Unix epoch.
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// This function re-interprets the local datetime in the timezone to ensure the correct DST offset
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// is used for the target date (not the original date's offset). This is important when truncation
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// changes the date to a different DST period (e.g., from December/PST to October/PDT).
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//
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// Note: For far-future dates (approximately beyond year 2100), chrono-tz may not accurately
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// calculate DST transitions, which can result in incorrect offsets. See the compatibility
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// guide for more information.
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#[inline]
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fn as_micros_from_unix_epoch_utc(dt: Option<DateTime<Tz>>) -> i64 {
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dt.unwrap().with_timezone(&Utc).timestamp_micros()
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let dt = dt.unwrap();
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let naive = dt.naive_local();
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let tz = dt.timezone();
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// Re-interpret the local time in the timezone to get the correct DST offset
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// for the truncated date. Use noon to avoid DST gaps that occur around midnight.
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let noon = naive.date().and_hms_opt(12, 0, 0).unwrap_or(naive);
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let offset = match tz.offset_from_local_datetime(&noon) {
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LocalResult::Single(off) | LocalResult::Ambiguous(off, _) => off.fix(),
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LocalResult::None => return dt.with_timezone(&Utc).timestamp_micros(),
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};
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(naive - offset).and_utc().timestamp_micros()
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}
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#[inline]

spark/src/test/scala/org/apache/comet/CometTemporalExpressionSuite.scala

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@@ -158,7 +158,17 @@ class CometTemporalExpressionSuite extends CometTestBase with AdaptiveSparkPlanH
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test("date_trunc - timestamp_ntz input") {
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val r = new Random(42)
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val ntzSchema = StructType(Seq(StructField("ts_ntz", DataTypes.TimestampNTZType, true)))
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val ntzDF = FuzzDataGenerator.generateDataFrame(r, spark, ntzSchema, 100, DataGenOptions())
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// Use a reasonable date range (around year 2024) to avoid chrono-tz DST calculation
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// issues with far-future dates. The default baseDate is year 3333 which is beyond
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// the range where chrono-tz can reliably calculate DST transitions.
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val reasonableBaseDate =
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new java.text.SimpleDateFormat("yyyy-MM-dd HH:mm:ss").parse("2024-06-15 12:00:00").getTime
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val ntzDF = FuzzDataGenerator.generateDataFrame(
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r,
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spark,
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ntzSchema,
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100,
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DataGenOptions(baseDate = reasonableBaseDate))
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ntzDF.createOrReplaceTempView("ntz_tbl")
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for (format <- CometTruncTimestamp.supportedFormats) {
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checkSparkAnswerAndOperator(

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