CODEWITHSUNDEEP
javalarge-data-volumes
mnquasar
mnquasar

Reputation: 31

java efficient de-duplication

Lets say you have a large text file. Each row contains an email id and some other information (say some product-id). Assume there are millions of rows in the file. You have to load this data in a database. How would you efficiently de-dup data (i.e. eliminate duplicates)?

Upvotes: 3

Views: 3630

Answers (6)

Fabrizio Fortino
Fabrizio Fortino

Reputation: 1606

Take a look at Duke (https://github.com/larsga/Duke) a fast dedupe and record linkage engine written in java. It uses Lucene to index and reduce the number of comparison (to avoid the unacceptable Cartesian product comparison). It supports the most common algorithm (edit distance, jaro winkler, etc) and it is extremely extensible and configurable.

Upvotes: 1

Enno Shioji
Enno Shioji

Reputation: 26882

Insane number of rows

  • Use Map&Reduce framework (e.g. Hadoop). This is a full-blown distributed computing so it's an overkill unless you have TBs of data though. ( j/k :) )

Unable to fit all rows in memory

  • Even the result won't fit : Use merge sort, persisting intermediate data to disk. As you merge, you can discard duplicates (probably this sample helps). This can be multi-threaded if you want.
  • The results will fit : Instead of reading everything in-memory and then put it in a HashSet (see below), you can use a line iterator or something and keep adding to this HashSet. You can use ConcurrentHashMap and use more than one thread to read files and add to this Map. Another multi-threaded option is to use ConcurrentSkipListSet. In this case, you will implement compareTo() instead of equals()/hashCode() (compareTo()==0 means duplicate) and keep adding to this SortedSet.

Fits in memory

  • Design an object that holds your data, implement a good equals()/hashCode() method and put them all in a HashSet.
  • Or use the methods given above (you probably don't want to persist to disk though).

Oh and if I were you, I will put the unique constraint on the DB anyways...

Upvotes: 8

Thomas Jung
Thomas Jung

Reputation: 33092

Your problem can be solve with a Extract, transform, load (ETL) approach:

  • You load your data in an import schema;
  • Do every transformation you like on the data;
  • Then load it into the target database schema.

You can do this manually or use an ETL tool.

Upvotes: 0

L. Cornelius Dol
L. Cornelius Dol

Reputation: 64026

Can you not index the table by email and product ID? Then reading by index should make duplicates of either email or email+prodId readily identified via sequential reads and simply matching the previous record.

Upvotes: 0

akf
akf

Reputation: 39485

You have two options,

  1. do it in Java: you could put together something like a HashSet for testing - adding an email id for each item that comes in if it doesnt exist in the set.

  2. do it in the database: put a unique constraint on the table, such that dups will not be added to the table. An added bonus to this is that you can repeat the process and remove dups from previous runs.

Upvotes: 1

TheSteve0
TheSteve0

Reputation: 3526

I will start with the obvious answer. Make a hashmap and put the email id in as the key and the rest of the information in to the value (or make an object to hold all the information). When you get to a new line, check to see if the key exists, if it does move to the next line. At the end write out all your SQL statements using the HashMap. I do agree with eqbridges that memory constraints will be important if you have a "gazillion" rows.

Upvotes: 1

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