Transaction Isolation Levels

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This blog post is based on a talk that I have given in the Ruby on Rails User Group.

Who knows Transactions?

Who knows really well what transactions are?

What is a Transaction?

Just common sense what transactions mean:

  • We open an transaction (implicitely or explicitely)
  • We perform a certain number of operations (for example SQL-statements)
  • We decide in the end to either „roll-back“ or „commit“
  • Roll-back restores the state before the transaction
  • Commit accepts the changes for good

That’s it?

  • So, that’s it, we are done…
  • Just scrap these stupid confusing advanced stuff, do it simple…

Simple world

  • In the simple world, only one DB-user at a time exists
  • Then we are really almost done..

Complicated World

  • In a complicated world we have parallel activities taking place:
  • Multiple threads, processes or external database clients simultanously using the database

Complications of Complication

  • What happens now?
  • When things get parallel, everybody is good in doing that, but it usually does not work.
  • So DB-developers are really good, because databases do actually sometimes work quite well, even under load…
  • What happens with incomplete transactions?
  • What happens with complete transactions during one complicated read query?

Naïve Requirement

  • Other clients should see an transaction either completely or not at all.
  • Is that enough?
  • Think of an auditorium for a boring lecture: 90 min, people continuously leaving the room (so boring), but at the end it is still quite full.
  • How many people are in the room?
  • Counting is hard, because more people leave during the count.

Snapshot too old

  • Oracle has solved that problem of counting the students and similar ones…
  • The SELECT-statement gets for its duration a consistent data content, based on what was in the DB when the statement started.
  • Transactions that have been committed successfully after starting the SELECT are not taken into account
  • This is called snapshot. Long SELECTs that work on data that is actively changed sometimes fail with „Snapshot too old“

Now the hardcore stuff

  • Read phenomena
  • Transaction Isolation Levels
  • ACID

Read Phenomena: Dirty Read

  • „Dirty read“ refers to uncommitted data being available for reading by other transactions. Sounds cool, right? Intuitive?
  • Interesting question: can you read your own uncommitted data within the running transaction?

Read Phenomena: Non-repeatable Read

  • „Non-repeatable read“ refers to a reading operations on the same piece of data that happen during the same transaction (or SELECT statement in the Oracle world) and give different results.
  • With Oracle this should not happen, we get snapshot too old instead.

Read Phenomena: Phantom reads

  • Data records are the same
  • But the set of records may change

Isolation Level: Read Uncommited

  • Allows „dirty Read“
  • I do not know of any case where this is done
  • You can configure it and may get „better“ than that

Isolation Level: Read Committed

  • Read data only from completed transaction
  • Non-repeatable read is possible
  • Default for many databases, like PostgreSQL

Isolation Level: Repeatable Reads

  • During one transaction data does not change
  • Phantom reads are still possible
  • Default for many databases, for example Oracle

Isolation Level: Serializable

  • Pretend all transactions are queued and only one at a time is happening
  • No phantom reads possible

Real databases

  • They have some default
  • But may always be „better“ than that
  • So mixtures are possible
  • For example Oracle has „read-only“ as isolation level…

Locking vs. Multiversion

  • Two mechanisms:
  • Locking of parts of the data
  • Multiversion: multiple copies (maybe copy on write?) around, for each transaction… Have fun when merging. 😉

Different DB products

  • Different DB products use the freedom to interpret the standard quite liberally
  • Oracle is the standard, they only pretend to care about SQL-standard…
  • Make a wise decision which DB to support with your software in the beginning
  • Remember: some commercial DB vendors might not have any customers, they just have hostages

ACID

ACIDs in chemistry are substances with a pH-value < 7.
Here acronym for

  • Atomicity
  • Consistency
  • Isolation
  • Durability

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