Re: Performance of objects

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Hi Walter,

I just tried this on Linux with 12.2 Client and Database. I got these
results:

table 1.1217586994171143
object 0.8592920303344727

When I change the number of iterations from 1300 to 1200 I get this:

table 0.996464729309082
object 0.747194766998291

So it seems consistent. Are you able to try with a different
database/client scenario to see if the issues you are seeing are version
specific?

Anthony

On Thu, Aug 24, 2017 at 11:28 AM, Walter D=C3=B6rwald <[email protected]=
e>
wrote:

> Hello all!
>
> Now that cx_Oracle supports custom Oracle object types I tried them and
> discovered strange performance fluctuations. I defined the following type=
s
> and functions in the database:
>
> ---------------------------------------------
>
> create or replace type ul4onevent as object
> (
>         ue_type varchar2(20),
>         ue_backref integer,
>         ue_int1 integer,
>         ue_int2 integer,
>         ue_int3 integer,
>         ue_number number,
>         ue_date date,
>         ue_str varchar2(32000)
> );
> /
>
> create or replace type ul4onevents as table of ul4onevent;
> /
>
> create or replace function test_events2
> return ul4onevents
> as
>         v_events ul4onevents;
>
>         procedure append(
>                 p_ue_type varchar2,
>                 p_ue_backref integer :=3D null,
>                 p_ue_int1 integer :=3D null,
>                 p_ue_int2 integer :=3D null,
>                 p_ue_int3 integer :=3D null,
>                 p_ue_number number :=3D null,
>                 p_ue_date date :=3D null,
>                 p_ue_str varchar2 :=3D null
>         )
>         as
>         begin
>                 v_events.extend;
>                 v_events(v_events.count) :=3D ul4onevent(p_ue_type,
> p_ue_backref, p_ue_int1, p_ue_int2, p_ue_int3, p_ue_number, p_ue_date,
> p_ue_str);
>         end;
> begin
>         v_events :=3D ul4onevents();
>
>         append('beginlist');
>                 for i in 1 .. 1300 loop
>                         append('begindict');
>                                 append('str', p_ue_str=3D>'firstname');
>                                 append('str', p_ue_str=3D>'Foo');
>                                 append('str', p_ue_str=3D>'lastname');
>                                 append('str', p_ue_str=3D>'Bar');
>                                 append('str', p_ue_str=3D>'none');
>                                 append('none');
>                                 append('str', p_ue_str=3D>'bool');
>                                 append('bool', p_ue_int1=3D>1);
>                                 append('str', p_ue_str=3D>'int');
>                                 append('int', p_ue_int1=3D>42);
>                                 append('str', p_ue_str=3D>'float');
>                                 append('number', p_ue_number=3D>42.5);
>                                 append('str', p_ue_str=3D>'date');
>                                 append('date',
> p_ue_date=3D>to_date('29.02.2000', 'DD.MM.YYYY'));
>                                 append('str', p_ue_str=3D>'color');
>                                 append('color', p_ue_int1=3D>845453000);
>                                 append('str', p_ue_str=3D>'timedelta');
>                                 append('timedelta', p_ue_int1=3D>0,
> p_ue_int2=3D>42, p_ue_int3=3D>0);
>                                 append('str', p_ue_str=3D>'monthdelta');
>                                 append('monthdelta', 17);
>                                 append('str', p_ue_str=3D>'slice');
>                                 append('slice', p_ue_int1=3D>17,
> p_ue_int2=3D>23);
>                         append('enddict');
>                 end loop;
>         append('endlist');
>         return v_events;
> end;
> /
>
> ---------------------------------------------
>
> I used the following script to compare the performance of
>
>         select * from table(test_events2)
>
> and
>
>         select test_events2 from dual
>
> ---------------------------------------------
>
> import time
> import cx_Oracle
>
> db =3D cx_Oracle.connect("user/pwd@db")
> c =3D db.cursor()
>
> t1 =3D time.time()
>
> e1 =3D []
> c.execute("select * from table(test_events2)")
> for r in c:
>         e1.append(tuple(r))
>
> t2 =3D time.time()
>
> e2 =3D []
> c.execute("select test_events2 from dual")
>
> objs =3D c.fetchone()[0].aslist()
>
> for obj in objs:
>         e2.append((
>                 obj.UE_TYPE,
>                 obj.UE_BACKREF,
>                 obj.UE_INT1,
>                 obj.UE_INT2,
>                 obj.UE_INT3,
>                 obj.UE_NUMBER,
>                 obj.UE_DATE,
>                 obj.UE_STR,
>         ))
>
> t3 =3D time.time()
>
> print("table", t2-t1)
> print("object", t3-t2)
> print("equal", e1 =3D=3D e2)
>
> ---------------------------------------------
>
> The output is:
>
> ---------------------------------------------
>
> table 0.4585990905761719
> object 106.14051795005798
> equal True
>
> ---------------------------------------------
>
> i.e. the object version is 230 times slower than the table version. When =
I
> change the number of iterations from 1300 to 1200 the output is:
>
> ---------------------------------------------
>
> table 0.4336049556732178
> object 1.2956831455230713
> equal True
>
> ---------------------------------------------
>
> I wonder why that happens.
>
> The database version is 11.2.0.1.0 and I'm using Python 3.6.2 with
> cx_Oracle 6.0.1 on Mac OS X 10.12.6.
>
> Servus,
>    Walter
>
> ------------------------------------------------------------
> ------------------
> Check out the vibrant tech community on one of the world's most
> engaging tech sites, Slashdot.org! http://sdm.link/slashdot
> _______________________________________________
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>

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<div dir=3D"ltr">Hi Walter,<div><br></div><div>I just tried this on Linux w=
ith 12.2 Client and Database. I got these results:</div><div><br></div><div=
><div>table 1.1217586994171143</div><div>object 0.8592920303344727</div></d=
iv><div><br></div><div>When I change the number of iterations from 1300 to =
1200 I get this:</div><div><br></div><div><div>table 0.996464729309082</div=
><div>object 0.747194766998291</div></div><div><br></div><div>So it seems c=
onsistent. Are you able to try with a different database/client scenario to=
 see if the issues you are seeing are version specific?</div><div><br></div=
><div>Anthony</div></div><div class=3D"gmail_extra"><br><div class=3D"gmail=
_quote">On Thu, Aug 24, 2017 at 11:28 AM, Walter D=C3=B6rwald <span dir=3D"=
ltr">&lt;<a href=3D"mailto:[email protected]" target=3D"_blank">walter@=
livinglogic.de</a>&gt;</span> wrote:<br><blockquote class=3D"gmail_quote" s=
tyle=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hell=
o all!<br>
<br>
Now that cx_Oracle supports custom Oracle object types I tried them and dis=
covered strange performance fluctuations. I defined the following types and=
 functions in the database:<br>
<br>
------------------------------<wbr>---------------<br>
<br>
create or replace type ul4onevent as object<br>
(<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_type varchar2(20),<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_backref integer,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_int1 integer,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_int2 integer,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_int3 integer,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_number number,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_date date,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ue_str varchar2(32000)<br>
);<br>
/<br>
<br>
create or replace type ul4onevents as table of ul4onevent;<br>
/<br>
<br>
create or replace function test_events2<br>
return ul4onevents<br>
as<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 v_events ul4onevents;<br>
<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 procedure append(<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_type varchar2,=
<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_backref intege=
r :=3D null,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_int1 integer :=
=3D null,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_int2 integer :=
=3D null,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_int3 integer :=
=3D null,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_number number =
:=3D null,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_date date :=3D=
 null,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 p_ue_str varchar2 :=
=3D null<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 )<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 as<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 begin<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 v_events.extend;<br=
>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 v_events(v_events.c=
ount) :=3D ul4onevent(p_ue_type, p_ue_backref, p_ue_int1, p_ue_int2, p_ue_i=
nt3, p_ue_number, p_ue_date, p_ue_str);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 end;<br>
begin<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 v_events :=3D ul4onevents();<br>
<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;beginlist&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 for i in 1 .. 1300 =
loop<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 append(&#39;begindict&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;firstname&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;Foo&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;lastname&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;Bar&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;none&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;none&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;bool&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;bool&#39;, p_ue_int1=3D&=
gt;1);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;int&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;int&#39;, p_ue_int1=3D&g=
t;42);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;float&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;number&#39;, p_ue_number=
=3D&gt;42.5);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;date&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;date&#39;, p_ue_date=3D&=
gt;to_date(&#39;29.02.2000<wbr>&#39;, &#39;DD.MM.YYYY&#39;));<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;color&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;color&#39;, p_ue_int1=3D=
&gt;845453000);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;timedelta&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;timedelta&#39;, p_ue_int=
1=3D&gt;0, p_ue_int2=3D&gt;42, p_ue_int3=3D&gt;0);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;monthdelta&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;monthdelta&#39;, 17);<br=
>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;str&#39;, p_ue_str=3D&gt=
;&#39;slice&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;slice&#39;, p_ue_int1=3D=
&gt;17, p_ue_int2=3D&gt;23);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 append(&#39;enddict&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 end loop;<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 append(&#39;endlist&#39;);<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 return v_events;<br>
end;<br>
/<br>
<br>
------------------------------<wbr>---------------<br>
<br>
I used the following script to compare the performance of<br>
<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 select * from table(test_events2)<br>
<br>
and<br>
<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 select test_events2 from dual<br>
<br>
------------------------------<wbr>---------------<br>
<br>
import time<br>
import cx_Oracle<br>
<br>
db =3D cx_Oracle.connect(&quot;user/pwd@db<wbr>&quot;)<br>
c =3D db.cursor()<br>
<br>
t1 =3D time.time()<br>
<br>
e1 =3D []<br>
c.execute(&quot;select * from table(test_events2)&quot;)<br>
for r in c:<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 e1.append(tuple(r))<br>
<br>
t2 =3D time.time()<br>
<br>
e2 =3D []<br>
c.execute(&quot;select test_events2 from dual&quot;)<br>
<br>
objs =3D c.fetchone()[0].aslist()<br>
<br>
for obj in objs:<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 e2.append((<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_TYPE,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_BACKREF,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_INT1,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_INT2,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_INT3,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_NUMBER,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_DATE,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 obj.UE_STR,<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ))<br>
<br>
t3 =3D time.time()<br>
<br>
print(&quot;table&quot;, t2-t1)<br>
print(&quot;object&quot;, t3-t2)<br>
print(&quot;equal&quot;, e1 =3D=3D e2)<br>
<br>
------------------------------<wbr>---------------<br>
<br>
The output is:<br>
<br>
------------------------------<wbr>---------------<br>
<br>
table 0.4585990905761719<br>
object 106.14051795005798<br>
equal True<br>
<br>
------------------------------<wbr>---------------<br>
<br>
i.e. the object version is 230 times slower than the table version. When I =
change the number of iterations from 1300 to 1200 the output is:<br>
<br>
------------------------------<wbr>---------------<br>
<br>
table 0.4336049556732178<br>
object 1.2956831455230713<br>
equal True<br>
<br>
------------------------------<wbr>---------------<br>
<br>
I wonder why that happens.<br>
<br>
The database version is 11.2.0.1.0 and I&#39;m using Python 3.6.2 with cx_O=
racle 6.0.1 on Mac OS X 10.12.6.<br>
<br>
Servus,<br>
=C2=A0 =C2=A0Walter<br>
<br>
------------------------------<wbr>------------------------------<wbr>-----=
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