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Speaker 1 (19- Summary)
Let's quickly recap the key points in this section.
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Speaker 1 (19- Summary)
Multi -threaded applications can do more in less time,
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Speaker 1 (19- Summary)
but they're challenging to build.
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Speaker 1 (19- Summary)
One of the problems in multi -threaded applications is a race condition,
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Speaker 1 (19- Summary)
which happens when multiple threads try to modify an object concurrently.
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Speaker 1 (19- Summary)
We may get wrong results or our application may crash.
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Speaker 1 (19- Summary)
Another problem in multi -threaded applications is that a thread can change
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Speaker 1 (19- Summary)
an object, but the change may not be visible to other threads due to caching.
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Speaker 1 (19- Summary)
We talked about various strategies to prevent these problems.
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Speaker 1 (19- Summary)
The first strategy was confinement,
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Speaker 1 (19- Summary)
which means not sharing data across threads.
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Speaker 1 (19- Summary)
We also talked about synchronization,
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Speaker 1 (19- Summary)
which involves locking and makes your code run sequentially.
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Speaker 1 (19- Summary)
So try to avoid it if you can.
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Speaker 1 (19- Summary)
We also talked about atomic types.
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Speaker 1 (19- Summary)
These types don't use locks.
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Speaker 2 (19- Summary)
Instead,
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Speaker 1 (19- Summary)
they use the compare and swap technique.
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Speaker 1 (19- Summary)
They're great for implementing counters.
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Speaker 1 (19- Summary)
We also talked about partitioning.
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Speaker 1 (19- Summary)
Concurrent collections in Java use this technique to allow multiple threads
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Speaker 1 (19- Summary)
access different segments or partitions concurrently.
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Speaker 1 (19- Summary)
So that brings us to the end of this section.
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Speaker 1 (19- Summary)
In the next section,
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Speaker 1 (19- Summary)
we're going to talk about the newer higher level constructs for building concurrent
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Speaker 1 (19- Summary)
applications in Java.
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Speaker 1 (19- Summary)
So I will see you next.
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