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author | Nong Li <nong@databricks.com> | 2016-03-10 13:31:19 -0800 |
---|---|---|
committer | Davies Liu <davies.liu@gmail.com> | 2016-03-10 13:31:19 -0800 |
commit | 747d2f5381b3ef0b2663ca7def42d3dc43ee13d7 (patch) | |
tree | e3716aaa02f9f89e7fe09b6db2743f6f3c4218b8 /sql/catalyst | |
parent | 19f4ac6dc766a3d33b04cd071b414c3bea88e97d (diff) | |
download | spark-747d2f5381b3ef0b2663ca7def42d3dc43ee13d7.tar.gz spark-747d2f5381b3ef0b2663ca7def42d3dc43ee13d7.tar.bz2 spark-747d2f5381b3ef0b2663ca7def42d3dc43ee13d7.zip |
[SPARK-13790] Speed up ColumnVector's getDecimal
## What changes were proposed in this pull request?
We should reuse an object similar to the other non-primitive type getters. For
a query that computes averages over decimal columns, this shows a 10% speedup
on overall query times.
## How was this patch tested?
Existing tests and this benchmark
```
TPCDS Snappy: Best/Avg Time(ms) Rate(M/s) Per Row(ns)
--------------------------------------------------------------------------------
q27-agg (master) 10627 / 11057 10.8 92.3
q27-agg (this patch) 9722 / 9832 11.8 84.4
```
Author: Nong Li <nong@databricks.com>
Closes #11624 from nongli/spark-13790.
Diffstat (limited to 'sql/catalyst')
-rw-r--r-- | sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java | 2 | ||||
-rw-r--r-- | sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala | 11 |
2 files changed, 12 insertions, 1 deletions
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java index a88bcbfdb7..dd2f39eb81 100644 --- a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java +++ b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java @@ -400,7 +400,7 @@ public final class UnsafeRow extends MutableRow implements Externalizable, KryoS return null; } if (precision <= Decimal.MAX_LONG_DIGITS()) { - return Decimal.apply(getLong(ordinal), precision, scale); + return Decimal.createUnsafe(getLong(ordinal), precision, scale); } else { byte[] bytes = getBinary(ordinal); BigInteger bigInteger = new BigInteger(bytes); diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala index 6a59e9728a..f0e535bb45 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala @@ -376,6 +376,17 @@ object Decimal { def apply(value: String): Decimal = new Decimal().set(BigDecimal(value)) + /** + * Creates a decimal from unscaled, precision and scale without checking the bounds. + */ + def createUnsafe(unscaled: Long, precision: Int, scale: Int): Decimal = { + val dec = new Decimal() + dec.longVal = unscaled + dec._precision = precision + dec._scale = scale + dec + } + // Evidence parameters for Decimal considered either as Fractional or Integral. We provide two // parameters inheriting from a common trait since both traits define mkNumericOps. // See scala.math's Numeric.scala for examples for Scala's built-in types. |