Bindings, Platforms, and Innovation
This presentation focuses on the Internet and separating myth from fact, history from the future, and the mundane from the imaginative. Bob Frankston presents a vision of what could and should be.
Tracking change and innovation in the enterprise software development community
Posted by Jonathan Allen on Jun 05, 2008 03:22 PM
The collections in the .NET Framework have evolved significantly over the years. Taking advantage of Microsoft's new found openness, we show two versions of a familiar data structure, the hash table, in both .NET and Mono.
In theory the hash table is a rather simple construct, just collection of arrays or linked lists divided into a finite number of buckets. Yet even the act of retrieving an item can be rather complex if you try to be too clever with multi-threading logic.
// Copyright (c) Microsoft Corporation. All rights reserved.
public virtual Object this[Object key] {
get {
if (key == null) {
throw new ArgumentNullException("key", Environment.GetResourceString("ArgumentNull_Key"));
}
uint seed;
uint incr;
// Take a snapshot of buckets, in case another thread does a resize
bucket[] lbuckets = buckets;
uint hashcode = InitHash(key, lbuckets.Length, out seed, out incr);
int ntry = 0;
bucket b;
int bucketNumber = (int) (seed % (uint)lbuckets.Length);
do
{
int currentversion;
// A read operation on hashtable has three steps:
// (1) calculate the hash and find the slot number.
// (2) compare the hashcode, if equal, go to step 3. Otherwise end.
// (3) compare the key, if equal, go to step 4. Otherwise end.
// (4) return the value contained in the bucket.
// After step 3 and before step 4. A writer can kick in a remove the old item and add a new one
// in the same bukcet. So in the reader we need to check if the hash table is modified during above steps.
//
// Writers (Insert, Remove, Clear) will set 'isWriterInProgress' flag before it starts modifying
// the hashtable and will ckear the flag when it is done. When the flag is cleared, the 'version'
// will be increased. We will repeat the reading if a writer is in progress or done with the modification
// during the read.
//
// Our memory model guarantee if we pick up the change in bucket from another processor,
// we will see the 'isWriterProgress' flag to be true or 'version' is changed in the reader.
//
int spinCount = 0;
do {
// this is violate read, following memory accesses can not be moved ahead of it.
currentversion = version;
b = lbuckets[bucketNumber];
// The contention between reader and writer shouldn't happen frequently.
// But just in case this will burn CPU, yield the control of CPU if we spinned a few times.
// 8 is just a random number I pick.
if( (++spinCount) % 8 == 0 ) {
Thread.Sleep(1); // 1 means we are yeilding control to all threads, including low-priority ones.
}
} while ( isWriterInProgress || (currentversion != version) );
if (b.key == null) {
return null;
}
if (((b.hash_coll & 0x7FFFFFFF) == hashcode) &&
KeyEquals (b.key, key))
return b.val;
bucketNumber = (int) (((long)bucketNumber + incr)% (uint)lbuckets.Length);
} while (b.hash_coll < 0 && ++ntry < lbuckets.Length);
return null;
}
Yes folks, there is a pseudo-spin lock and call to Threading.Sleep in there.
With .NET 2.0 and generic collections, Microsoft decided to dump the internal locking mechanisms for collections. Instead, any locking must be applied externally. This gives us the much simpler code found in the Generic.Dictionary class.
// Copyright (c) Microsoft Corporation. All rights reserved.
private int FindEntry(TKey key) {
if( key == null) {
ThrowHelper.ThrowArgumentNullException(ExceptionArgument.key);
}
if (buckets != null) {
int hashCode = comparer.GetHashCode(key) & 0x7FFFFFFF;
for (int i = buckets[hashCode % buckets.Length]; i >= 0; i = entries[i].next) {
if (entries[i].hashCode == hashCode && comparer.Equals(entries[i].key, key)) return i;
}
}
return -1;
}
The Mono versions of the Hashtable and Dictionary are likewise very different from each other and from the Microsoft implementations.
// Copyright (C) 2004-2005 Novell, Inc (http://www.novell.com)
public virtual Object this[Object key]
{
get
{
if (key == null)
throw new ArgumentNullException("key", "null key");
Slot[] table = this.table;
int[] hashes = this.hashes;
uint size = (uint)table.Length;
int h = this.GetHash(key) & Int32.MaxValue;
uint indx = (uint)h;
uint step = (uint)((h >> 5) + 1) % (size - 1) + 1;
for (uint i = size; i > 0; i--)
{
indx %= size;
Slot entry = table[indx];
int hashMix = hashes[indx];
Object k = entry.key;
if (k == null)
break;
if (k == key || ((hashMix & Int32.MaxValue) == h
&& this.KeyEquals(key, k)))
{
return entry.value;
}
if ((hashMix & CHAIN_MARKER) == 0)
break;
indx += step;
}
return null;
}
And their dictionary implementation.
// Copyright (C) 2004 Novell, Inc (http://www.novell.com)
// Copyright (C) 2005 David Waite
// Copyright (C) 2007 HotFeet GmbH (http://www.hotfeet.ch)
public TValue this [TKey key] {
get {
if (key == null)
throw new ArgumentNullException ("key");
// get first item of linked list corresponding to given key
int hashCode = hcp.GetHashCode (key);
int cur = table [(hashCode & int.MaxValue) % table.Length] - 1;
// walk linked list until right slot is found or end is reached
while (cur != NO_SLOT) {
// The ordering is important for compatibility with MS and strange
// Object.Equals () implementations
if (linkSlots [cur].HashCode == hashCode && hcp.Equals (keySlots [cur], key))
return valueSlots [cur];
cur = linkSlots [cur].Next;
}
throw new KeyNotFoundException ();
}
Well there you have it; four ways to do essentially the same time. The one with the Sleep command is undoubtedly the worse, I'll it to you to decide which is the best.
This presentation focuses on the Internet and separating myth from fact, history from the future, and the mundane from the imaginative. Bob Frankston presents a vision of what could and should be.
This article explores the use of JBoss and jBPM to implement design solutions that effectively address the issue of orchestrating long running activities.
This presentation covers the use of graph databases as an optimal solution for data that is difficult to fit in static tables, rapidly evolving data or data that has a lot of optional attributes.
This session introduces Real Options and shows how it can help in running your project. Real Options is a decision-making process that can be used to manage risk.
This article discusses the use of bindings on services and references (including the instance of non-configured bindings) as the means to implement SCA communications in a Web and SOA environment.
After a short introduction to DSLs, Scott Davis plays with the keyboard showing how to approach the creation of a DSL by typing working snippets of Groovy code that get executed.
IBM Rational and InfoQ present, Scaling Agile with C/ALM, an eBook showing organizations how to become “finely tuned software delivery machines” by enabling team integration and scaling.
Amanda Laucher presents a real life enterprise application written in F#. She shows actual code snippets, explaining design decisions and suggesting how to use some of the F# constructs.
1 comment
Watch Thread Reply