# Upsert
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Make it easy to upsert on traditional RDBMS like MySQL, PostgreSQL, and SQLite3—hey look NoSQL!. Transparently creates (and re-uses) stored procedures/functions when necessary.
You pass it a bare-metal connection to the database like `Mysql2::Client` (from `mysql2` gem on MRI) or `Java::OrgPostgresqlJdbc4::Jdbc4Connection` (from `jdbc-postgres` on Jruby).
As databases start to natively support SQL MERGE (which is basically upsert), this library will take advantage (but you won't have to change your code).
Does **not** depend on ActiveRecord.
Does **not** use `INSERT ON DUPLICATE KEY UPDATE` on MySQL as this only works if you are very careful about creating unique indexes.
70–90%+ faster than emulating upsert with ActiveRecord.
Supports MRI and JRuby.
## Usage
You pass a __selector__ that uniquely identifies a row, whether it exists or not. You also pass a __setter__, attributes that should be set on that row.
Syntax inspired by [mongo-ruby-driver's update method](http://api.mongodb.org/ruby/1.6.4/Mongo/Collection.html#update-instance_method).
### Basic
```ruby
connection = Mysql2::Client.new([...])
table_name = :pets
upsert = Upsert.new connection, table_name
# N times...
upsert.row({:name => 'Jerry'}, :breed => 'beagle', :created_at => Time.now)
```
The `created_at` and `created_on` columns are used for inserts, but ignored on updates.
So just to reiterate you've got a __selector__ and a __setter__:
```ruby
selector = { :name => 'Jerry' }
setter = { :breed => 'beagle' }
upsert.row(selector, setter)
```
### Batch mode
By organizing your upserts into a batch, we can do work behind the scenes to make them faster.
```ruby
connection = Mysql2::Client.new([...])
Upsert.batch(connection, :pets) do |upsert|
# N times...
upsert.row({:name => 'Jerry'}, :breed => 'beagle')
upsert.row({:name => 'Pierre'}, :breed => 'tabby')
end
```
Batch mode is tested to be about 80% faster on PostgreSQL, MySQL, and SQLite3 than other ways to emulate upsert (see the tests, which fail if they are not faster).
### ActiveRecord helper method
```ruby
require 'upsert/active_record_upsert'
# N times...
Pet.upsert({:name => 'Jerry'}, :breed => 'beagle')
```
## Wishlist
Pull requests for any of these would be greatly appreciated:
1. Cache JDBC PreparedStatement objects.
1. Sanity check my three benchmarks (four if you include activerecord-import on MySQL). Do they accurately represent optimized alternatives?
1. Provide `require 'upsert/debug'` that will make sure you are selecting on columns that have unique indexes
1. Test that `Upsert` instances accept arbitrary columns, even within a batch, which is what people probably expect.
1. [@antage](https://github.com/antage)'s idea for "true" upserting: (from https://github.com/seamusabshere/upsert/issues/17)
```ruby
selector = { id: 15 }
update_setter = { count: Upsert.sql('count + 1') }
insert_setter = { count: 1 }
upsert.row_with_two_setter(update_setter, insert_setter, selector)
```
## Real-world usage
We use `upsert` for [big data at Faraday](http://angel.co/faraday). Originally written to speed up the [`data_miner`](https://github.com/seamusabshere/data_miner) data mining library.
## Supported databases/drivers
See below for details about what SQL MERGE trick (emulation of upsert) is used, performance, code examples, etc.
### Rails / ActiveRecord
(assuming that one of the other three supported drivers is being used under the covers)
```ruby
Upsert.new Pet.connection, Pet.table_name
```
#### Speed
Depends on the driver being used!
#### SQL MERGE trick
Depends on the driver being used!
### MySQL
On MRI, use the [mysql2](https://rubygems.org/gems/mysql2) driver.
```ruby
require 'mysql2'
connection = Mysql2::Connection.new(:username => 'root', :password => 'password', :database => 'upsert_test')
table_name = :pets
upsert = Upsert.new(connection, table_name)
```
On JRuby, use the [jdbc-mysql](https://rubygems.org/gems/jdbc-mysql) driver.
```ruby
require 'jdbc/mysql'
java.sql.DriverManager.register_driver com.mysql.jdbc.Driver.new
connection = java.sql.DriverManager.get_connection "jdbc:mysql://127.0.0.1/mydatabase?user=root&password=password"
```
#### Speed
From the tests (updated 11/7/12):
Upsert was 82% faster than find + new/set/save
Upsert was 85% faster than find_or_create + update_attributes
Upsert was 90% faster than create + rescue/find/update
Upsert was 46% faster than faking upserts with activerecord-import (note: in question as of 3/13/15, need some expert advice)
#### SQL MERGE trick
Thanks to [Dennis Hennen's StackOverflow response!](http://stackoverflow.com/questions/11371479/how-to-translate-postgresql-merge-db-aka-upsert-function-into-mysql/)!
```sql
CREATE PROCEDURE upsert_pets_SEL_name_A_tag_number_SET_name_A_tag_number(`name_sel` varchar(255), `tag_number_sel` int(11), `name_set` varchar(255), `tag_number_set` int(11))
BEGIN
DECLARE done BOOLEAN;
REPEAT
BEGIN
-- If there is a unique key constraint error then
-- someone made a concurrent insert. Reset the sentinel
-- and try again.
DECLARE ER_DUP_UNIQUE CONDITION FOR 23000;
DECLARE ER_INTEG CONDITION FOR 1062;
DECLARE CONTINUE HANDLER FOR ER_DUP_UNIQUE BEGIN
SET done = FALSE;
END;
DECLARE CONTINUE HANDLER FOR ER_INTEG BEGIN
SET done = TRUE;
END;
SET done = TRUE;
SELECT COUNT(*) INTO @count FROM `pets` WHERE `name` = `name_sel` AND `tag_number` = `tag_number_sel`;
-- Race condition here. If a concurrent INSERT is made after
-- the SELECT but before the INSERT below we'll get a duplicate
-- key error. But the handler above will take care of that.
IF @count > 0 THEN
-- UPDATE table_name SET b = b_SET WHERE a = a_SEL;
UPDATE `pets` SET `name` = `name_set`, `tag_number` = `tag_number_set` WHERE `name` = `name_sel` AND `tag_number` = `tag_number_sel`;
ELSE
-- INSERT INTO table_name (a, b) VALUES (k, data);
INSERT INTO `pets` (`name`, `tag_number`) VALUES (`name_set`, `tag_number_set`);
END IF;
END;
UNTIL done END REPEAT;
END
```
### PostgreSQL
On MRI, use the [pg](https://rubygems.org/gems/pg) driver.
```ruby
require 'pg'
connection = PG.connect(:dbname => 'upsert_test')
table_name = :pets
upsert = Upsert.new(connection, table_name)
```
On JRuby, use the [jdbc-postgres](https://rubygems.org/gems/jdbc-postgres) driver.
```ruby
require 'jdbc/postgres'
java.sql.DriverManager.register_driver org.postgresql.Driver.new
connection = java.sql.DriverManager.get_connection "jdbc:postgresql://127.0.0.1/mydatabase?user=root&password=password"
```
If you want to use HStore, make the `pg-hstore` gem available and pass a Hash in setters:
```ruby
gem 'pg-hstore'
require 'pg_hstore'
upsert.row({:name => 'Bill'}, :mydata => {:a => 1, :b => 2})
```
#### Speed
From the tests (updated 9/21/12):
Upsert was 72% faster than find + new/set/save
Upsert was 79% faster than find_or_create + update_attributes
Upsert was 83% faster than create + rescue/find/update
# (can't compare to activerecord-import because you can't fake it on pg)
#### SQL MERGE trick
Adapted from the [canonical PostgreSQL upsert example](http://www.postgresql.org/docs/current/interactive/plpgsql-control-structures.html#PLPGSQL-ERROR-TRAPPING):
```sql
CREATE OR REPLACE FUNCTION upsert_pets_SEL_name_A_tag_number_SET_name_A_tag_number("name_sel" character varying(255), "tag_number_sel" integer, "name_set" character varying(255), "tag_number_set" integer) RETURNS VOID AS
$$
DECLARE
first_try INTEGER := 1;
BEGIN
LOOP
-- first try to update the key
UPDATE "pets" SET "name" = "name_set", "tag_number" = "tag_number_set"
WHERE "name" = "name_sel" AND "tag_number" = "tag_number_sel";
IF found THEN
RETURN;
END IF;
-- not there, so try to insert the key
-- if someone else inserts the same key concurrently,
-- we could get a unique-key failure
BEGIN
INSERT INTO "pets"("name", "tag_number") VALUES ("name_set", "tag_number_set");
RETURN;
EXCEPTION WHEN unique_violation THEN
-- seamusabshere 9/20/12 only retry once
IF (first_try = 1) THEN
first_try := 0;
ELSE
RETURN;
END IF;
-- Do nothing, and loop to try the UPDATE again.
END;
END LOOP;
END;
$$
LANGUAGE plpgsql;
```
I slightly modified it so that it only retries once - don't want infinite loops.
### Sqlite
On MRI, use the [sqlite3](https://rubygems.org/gems/sqlite3) driver.
```ruby
require 'sqlite3'
connection = SQLite3::Database.open(':memory:')
table_name = :pets
upsert = Upsert.new(connection, table_name)
```
On JRuby, use the [jdbc-sqlite3](https://rubygems.org/gems/jdbc-sqlite3) driver.
```ruby
# TODO somebody please verify
require 'jdbc/sqlite3'
java.sql.DriverManager.register_driver org.sqlite.Driver.new
connection = java.sql.DriverManager.get_connection "jdbc:sqlite://127.0.0.1/mydatabase?user=root&password=password"
```
#### Speed
From the tests (updated 9/21/12):
Upsert was 77% faster than find + new/set/save
Upsert was 80% faster than find_or_create + update_attributes
Upsert was 85% faster than create + rescue/find/update
# (can't compare to activerecord-import because you can't fake it on sqlite3)
#### SQL MERGE trick
Thanks to [@dan04's answer on StackOverflow](http://stackoverflow.com/questions/2717590/sqlite-upsert-on-duplicate-key-update):
**Please note! This will only work properly on Sqlite if one of the columns being used as the "selector" are a primary key or unique index**
```sql
INSERT OR IGNORE INTO visits VALUES (127.0.0.1, 1);
UPDATE visits SET visits = 1 WHERE ip LIKE 127.0.0.1;
```
## Features
### Tested to be fast and portable
In addition to correctness, the library's tests check that it is
1. Faster than comparable upsert techniques
2. Compatible with supported databases
### Not dependent on ActiveRecord
As below, all you need is a raw database connection like a `Mysql2::Connection`, `PG::Connection` or a `SQLite3::Database`. These are equivalent:
```ruby
# with activerecord
Upsert.new ActiveRecord::Base.connection, :pets
# with activerecord, prettier
Upsert.new Pet.connection, Pet.table_name
# without activerecord
Upsert.new Mysql2::Connection.new([...]), :pets
```
### For a specific use case, faster and more portable than `activerecord-import`
You could also use [activerecord-import](https://github.com/zdennis/activerecord-import) to upsert:
```ruby
Pet.import columns, all_values, :timestamps => false, :on_duplicate_key_update => columns
```
`activerecord-import`, however, only works on MySQL and requires ActiveRecord—and if all you are doing is upserts, `upsert` is tested to be 40% faster. And you don't have to put all of the rows to be upserted into a single huge array - you can batch them using `Upsert.batch`.
## Gotchas
### No automatic typecasting beyond what the adapter/driver provides
We don't have any logic to convert integers into strings, strings into integers, etc. in order to satisfy PostgreSQL/etc.'s strictness on this issue.
So if you try to upsert a blank string (`''`) into an integer field in PostgreSQL, you will get an error.
### Dates and times are converted to UTC
Datetimes are immediately converted to UTC and sent to the database as ISO8601 strings.
If you're using MySQL, make sure server/connection timezone is UTC. If you're using Rails and/or ActiveRecord, you might want to check `ActiveRecord::Base.default_timezone`... it should probably be `:utc`.
In general, run some upserts and make sure datetimes get persisted like you expect.
### Doesn't work with transactional fixtures
Per https://github.com/seamusabshere/upsert/issues/23 you might have issues if you try to use transactional fixtures and this library.
## Copyright
Copyright 2014 Seamus Abshere