JEP 254: Compact Strings
Author | Brent Christian |
Owner | Xueming Shen |
Type | Feature |
Scope | Implementation |
Status | Closed / Delivered |
Release | 9 |
Component | core-libs / java.lang |
Discussion | core dash libs dash dev at openjdk dot java dot net |
Effort | L |
Duration | XL |
Relates to | JEP 192: String Deduplication in G1 |
8144691: JEP 254: Compact Strings: endiannes mismatch in Java source code and intrinsic | |
JEP 250: Store Interned Strings in CDS Archives | |
JEP 280: Indify String Concatenation | |
Reviewed by | Aleksey Shipilev, Brian Goetz, Charlie Hunt |
Endorsed by | Brian Goetz |
Created | 2014/08/04 21:54 |
Updated | 2022/04/11 23:06 |
Issue | 8054307 |
Summary
Adopt a more space-efficient internal representation for strings.
Goals
Improve the space efficiency of the String
class and related classes
while maintaining performance in most scenarios and preserving full
compatibility for all related Java and native interfaces.
Non-Goals
It is not a goal to use alternate encodings such as UTF-8 in the internal representation of strings. A subsequent JEP may explore that approach.
Motivation
The current implementation of the String
class stores characters in a
char
array, using two bytes (sixteen bits) for each character. Data
gathered from many different applications indicates that strings are a
major component of heap usage and, moreover, that most String
objects
contain only Latin-1 characters. Such characters require only one byte
of storage, hence half of the space in the internal char
arrays of such
String
objects is going unused.
Description
We propose to change the internal representation of the String
class
from a UTF-16 char
array to a byte
array plus an encoding-flag field.
The new String
class will store characters encoded either as
ISO-8859-1/Latin-1 (one byte per character), or as UTF-16 (two bytes per
character), based upon the contents of the string. The encoding flag
will indicate which encoding is used.
String-related classes such as AbstractStringBuilder
, StringBuilder
,
and StringBuffer
will be updated to use the same representation, as
will the HotSpot VM's intrinsic string operations.
This is purely an implementation change, with no changes to existing public interfaces. There are no plans to add any new public APIs or other interfaces.
The prototyping work done to date confirms the expected reduction in memory footprint, substantial reductions of GC activity, and minor performance regressions in some corner cases.
For further detail, see:
Alternatives
We tried a "compressed strings" feature in JDK 6 update releases, enabled
by an -XX
flag. When enabled, String.value
was changed to an
Object
reference and would point either to a byte
array, for strings
containing only 7-bit US-ASCII characters, or else a char
array. This
implementation was not open-sourced, so it was difficult to maintain and
keep in sync with the mainline JDK source. It has since been removed.
Testing
Thorough compatibility and regression testing will be essential for a change to such a fundamental part of the platform.
We will also need to confirm that we have fulfilled the performance goals of this project. Analysis of memory savings will need to be done. Performance testing should be done using a broad range of workloads, ranging from focused microbenchmarks to large-scale server workloads.
We will encourage the entire Java community to perform early testing with this change in order to identify any remaining issues.
Risks and Assumptions
Optimizing character storage for memory may well come with a trade-off in terms of run-time performance. We expect that this will be offset by reduced GC activity and that we will be able to maintain the throughput of typical server benchmarks. If not, we will investigate optimizations that can strike an acceptable balance between memory saving and run-time performance.
Other recent projects have already reduced the heap space used by strings, in particular JEP 192: String Deduplication in G1. Even with duplicates eliminated, the remaining string data can be made to consume less space if encoded more efficiently. We are assuming that this project will still provide a benefit commensurate with the effort required.