spark-instrumented-optimizer/sql
dgd-contributor aa3de40773 [SPARK-35679][SQL] instantToMicros overflow
### Why are the changes needed?
With Long.minValue cast to an instant, secs will be floored in function microsToInstant and cause overflow when multiply with Micros_per_second

```
def microsToInstant(micros: Long): Instant = {
  val secs = Math.floorDiv(micros, MICROS_PER_SECOND)
  // Unfolded Math.floorMod(us, MICROS_PER_SECOND) to reuse the result of
  // the above calculation of `secs` via `floorDiv`.
  val mos = micros - secs * MICROS_PER_SECOND  <- it will overflow here
  Instant.ofEpochSecond(secs, mos * NANOS_PER_MICROS)
}
```

But the overflow is acceptable because it won't produce any change to the result

However, when convert the instant back to micro value, it will raise Overflow Error

```
def instantToMicros(instant: Instant): Long = {
  val us = Math.multiplyExact(instant.getEpochSecond, MICROS_PER_SECOND) <- It overflow here
  val result = Math.addExact(us, NANOSECONDS.toMicros(instant.getNano))
  result
}
```

Code to reproduce this error
```
instantToMicros(microToInstant(Long.MinValue))
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Test added

Closes #32839 from dgd-contributor/SPARK-35679_instantToMicro.

Authored-by: dgd-contributor <dgd_contributor@viettel.com.vn>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-06-10 08:08:51 +03:00
..
catalyst [SPARK-35679][SQL] instantToMicros overflow 2021-06-10 08:08:51 +03:00
core [SPARK-35675][SQL] EnsureRequirements remove shuffle should respect PartitioningCollection 2021-06-10 13:03:47 +08:00
hive [SPARK-35058][SQL] Group exception messages in hive/client 2021-06-09 08:23:09 +00:00
hive-thriftserver [SPARK-21957][SQL][FOLLOWUP] Support CURRENT_USER without tailing parentheses 2021-06-04 13:32:56 +00:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml
README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.