Re: performance question: protocol v2 vs v3 - Mailing list pgsql-jdbc
From | Dave Cramer |
---|---|
Subject | Re: performance question: protocol v2 vs v3 |
Date | |
Msg-id | CADK3HH+=kXa=24-GyrN+R9xTr32wVYDikEWKT=4QVfU-QViFTQ@mail.gmail.com Whole thread Raw |
In response to | performance question: protocol v2 vs v3 (Guillaume Cottenceau <gc@mnc.ch>) |
List | pgsql-jdbc |
The V3 protocol does involve a few more steps so yes, it might be slower.
As for downside to V2.
It may get deprecated completely.
It is vulnerable to SQL injection.
It cannot use binary transfer as everything is sent over the wire as text
If you really want to speed up inserts use copy.
On 25 November 2014 at 05:05, Guillaume Cottenceau <gc@mnc.ch> wrote:
Hello,
I have conducted tests that seem to indicate that using protocol
v2 gives slightly better insert performance as using protocol v3.
- Database product name: PostgreSQL
- Database product version: 9.3.4
- Database driver name: PostgreSQL Native Driver
- Database driver version: PostgreSQL 9.3 JDBC4 (build 1101)
- JDBC major version: 4
- JDBC minor version: 0
- java.runtime.version: 1.8.0_05-b13
- os.name: Linux
- os.arch: amd64
- os.version: 2.6.38.7-desktop-1mnb2
- tomcat 8.0.8
Most PG config default except:
shared_buffers = 512MB
vacuum_cost_delay = 50
vacuum_cost_page_hit = 1
vacuum_cost_page_miss = 10
vacuum_cost_page_dirty = 20
vacuum_cost_limit = 1000
track_counts = on
autovacuum = on
autovacuum_vacuum_cost_delay = 100
synchronous_commit = off
random_page_cost = 2
effective_cache_size = 1536MB
Hardware is a random desktop computer of 2011.
Test is a mono threaded insertion of 10,000 entries into each of
two tables (insert #1 into table a, insert #1 into table b,
insert #2 into table a, etc):
Table "public.a"
Column | Type | Modifiers
--------------------+--------------------------+-------------------------------------------------------------
uid | integer | not null default nextval('a_uid_seq'::regclass)
cola | character varying(15) |
colb | character varying(25) |
colc | text |
cold | character varying(25) |
cole | text |
colf | character varying(25) |
colg | character varying(128) |
colh | integer |
coli | timestamp with time zone | not null
colj | timestamp with time zone |
Indexes:
"a_pkey1" PRIMARY KEY, btree (uid)
"idx_a_coli" btree (coli)
"idx_a_coli_colc" btree (coli, colc)
"idx_a_coli_cold_colg" btree (coli, cold, colg)
Referenced by:
TABLE "b" CONSTRAINT "fk_a_uid" FOREIGN KEY (a_uid) REFERENCES a(uid) ON DELETE CASCADE
Table "public.b"
Column | Type | Modifiers
------------------------+----------------------+-----------
a_uid | integer | not null
cola | text |
colb | text |
colc | integer |
cold | text | not null
cole | character varying(3) |
colf | integer |
colg | integer |
colh | integer |
coli | integer |
colj | text |
Indexes:
"b_pkey2" PRIMARY KEY, btree (a_uid)
Foreign-key constraints:
"fk_a_uid" FOREIGN KEY (a_uid) REFERENCES a(uid) ON DELETE CASCADE
Using a prepared statement on an autocommit=true connection:
ps = conn.prepareStatement( "INSERT INTO a( ... ) VALUES ( ?, ... )", ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY );
ps.setString( 1, ... )
...
synchronized( ps.getConnection() ) {
ps.executeUpdate()
}
Using jdbc:postgresql:dbname?charSet=UTF8&protocolVersion=2,
clock time is:
#1: 00:58.519
#2: 00:56.678
#3: 00:56.222
Using jdbc:postgresql:dbname?charSet=UTF8&protocolVersion=3,
clock time is:
#1: 01:01.404
#2: 00:59.331
#3: 01:00.091
I know this is not massive. However, I was about to switch from
protocol v2 to protocol v3 wholly, but now, I'm wondering if
anyone can give any insight on this. Also, is there any known
downsides in sticking to protocol v2 - since it's very old now.
Thanks
--
Guillaume Cottenceau
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