aa3de40773
### 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> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-docs.py | ||
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.