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• ??OPEN CURSOR?BULK COLLECT

  - by Liu Maclean(???)

  ????T.askmaclean.com?????bulk collect?open cursor???, ?????????  ??????: ???? OPEN_CURSOR ????SQL?? ???????. ?????? ????? ???????????????? ????? test_soruce create table zengfankun_temp01 as select * from dba_objects;select count(*) from zengfankun_temp01;–12,6826analyze table zengfankun_temp01 compute statistics; create or replace procedure test_open_cursor istype type_owner is table of zengfankun_temp01.owner%type index by binary_integer;type type_object_name is table of zengfankun_temp01.object_name%type index by binary_integer;type type_object_id is table of zengfankun_temp01.object_id%type index by binary_integer;type type_object_type is table of zengfankun_temp01.object_type%type index by binary_integer;type type_last_ddl_time is table of zengfankun_temp01.last_ddl_time%type index by binary_integer; l_ary_owner type_owner;l_ary_object_name type_object_name;l_ary_object_id type_object_id;l_ary_object_type type_object_type;l_ary_last_ddl_time type_last_ddl_time; cursor cur_object isselect owner,object_name,object_id,object_type,last_ddl_timefrom zengfankun_temp01order by owner,object_name,object_type,last_ddl_time;OPEN_START number;OPEN_END number;FETCH_START number;FETCH_END number;beginDBMS_OUTPUT.ENABLE (buffer_size=>null) ;OPEN_START:=dbms_utility.get_time();open cur_object;OPEN_END :=dbms_utility.get_time();dbms_output.put_line(‘OPEN_TIME:’||TO_CHAR(OPEN_END-OPEN_START));loopFETCH_START:=dbms_utility.get_time();fetch cur_object bulk collect intol_ary_owner,l_ary_object_name,l_ary_object_id,l_ary_object_type,l_ary_last_ddl_timelimit 10000;FETCH_END:=dbms_utility.get_time();dbms_output.put_line(‘FETCH_TIME:’||TO_CHAR(FETCH_END-FETCH_START)||’ ROWCOUNT:’||cur_object%rowCount); exit when cur_object%notfound or cur_object%notfound is null;end loop;end test_open_cursor; OPEN_TIME:12FETCH_TIME:21 ROWCOUNT:10000FETCH_TIME:3 ROWCOUNT:20000FETCH_TIME:3 ROWCOUNT:30000FETCH_TIME:3 ROWCOUNT:40000FETCH_TIME:3 ROWCOUNT:50000FETCH_TIME:3 ROWCOUNT:60000FETCH_TIME:3 ROWCOUNT:70000FETCH_TIME:3 ROWCOUNT:80000FETCH_TIME:3 ROWCOUNT:90000FETCH_TIME:3 ROWCOUNT:100000FETCH_TIME:3 ROWCOUNT:110000FETCH_TIME:3 ROWCOUNT:120000FETCH_TIME:1 ROWCOUNT:126826 ???? OPEN_TIME:0FETCH_TIME:18 ROWCOUNT:10000FETCH_TIME:3 ROWCOUNT:20000FETCH_TIME:3 ROWCOUNT:30000FETCH_TIME:3 ROWCOUNT:40000FETCH_TIME:3 ROWCOUNT:50000FETCH_TIME:3 ROWCOUNT:60000FETCH_TIME:3 ROWCOUNT:70000FETCH_TIME:3 ROWCOUNT:80000FETCH_TIME:3 ROWCOUNT:90000FETCH_TIME:3 ROWCOUNT:100000FETCH_TIME:3 ROWCOUNT:110000FETCH_TIME:3 ROWCOUNT:120000FETCH_TIME:2 ROWCOUNT:126826 SQL?????????, ????????????.??OPEN CURSOR ????0???????????3??.??N? ??????. ???? ?N? ?????????? ??????. ??????????????? ??????????. ?????????10000??? ???????????????????clear???, ???????????: ?OPEN CURSOR ?????, PL/SQL????SQL????PARSE SQL????????, ??????OPEN CURSOR????SNAPSHOT SCN ??SCN, ??Oracle?????FETCH?????,???????????????? ????FETCH ??????????????,???????Current Block, The most recent version of block , ?????SCN >> Snapshot scn, ????UNDO???? ???SCN ???Best Block ,???Read Consistentcy;???? ???UNDO SNAPSHOT???????????????Best Block??,???????ORA-1555??? ????????, ??????????,???????????????char(2000)????, ???????????????,????bulk collect fetch??fetch 10 ???,????????OPEN CURSOR?????PARSE??SQL????????, ??????????fetch bulk collect??????????10????,??”_trace_pin_time”????Server Process?pin CR block???,??????????Fetch Bulk Collect limit 10??10?buffer?pin? [oracle@nas ~]$ sqlplus / as sysdba SQL*Plus: Release 11.2.0.3.0 Production on Wed Aug 1 11:36:52 2012 Copyright (c) 1982, 2011, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production With the Partitioning, OLAP, Data Mining and Real Application Testing options SQL> select * from global_name; GLOBAL_NAME -------------------------------------------------------------------------------- http://www.askmaclean.com SQL> create table maclean (t1 char(2000)) tablespace users pctfree 99; Table created. SQL> begin 2 for i in 1..200 loop 3 insert into maclean values('MACLEAN'); 4 commit ; 5 end loop; 6 end; 7 / PL/SQL procedure successfully completed. SQL> exec dbms_stats.gather_table_stats('','MACLEAN'); PL/SQL procedure successfully completed. SQL> select count(*) from maclean; COUNT(*) ---------- 200 SQL> select blocks,num_rows from dba_tables where table_name='MACLEAN'; BLOCKS NUM_ROWS ---------- ---------- 244 200 SQL> alter system set "_trace_pin_time"=1 scope=spfile; System altered. SQL> startup force; ORACLE instance started. Total System Global Area 3140026368 bytes Fixed Size 2232472 bytes Variable Size 1795166056 bytes Database Buffers 1325400064 bytes Redo Buffers 17227776 bytes Database mounted. Database opened. SQL> alter session set events '10046 trace name context forever,level 12'; Session altered. SQL> SQL> SQL> declare 2 cursor v_cursor is 3 select * from sys.maclean; 4 type v_type is table of sys.maclean%rowtype index by binary_integer; 5 rec_tab v_type; 6 begin 7 open v_cursor; 8 dbms_lock.sleep(30); 9 loop 10 fetch v_cursor bulk collect 11 into rec_tab limit 10; 12 dbms_lock.sleep(10); 13 exit when v_cursor%notfound; 14 end loop; 15 end; 16 / ?????10046 trace+ pin trace: PARSING IN CURSOR #47499559136872 len=337 dep=0 uid=0 oct=47 lid=0 tim=1343836146412056 hv=496860239 ad='11a11dbb0' sqlid='4zh7954ftuz2g' declare cursor v_cursor is select * from sys.maclean; type v_type is table of sys.maclean%rowtype index by binary_integer; rec_tab v_type; begin open v_cursor; dbms_lock.sleep(30); loop fetch v_cursor bulk collect into rec_tab limit 10; dbms_lock.sleep(10); exit when v_cursor%notfound; end loop; end; END OF STMT PARSE #47499559136872:c=0,e=346,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=1,plh=0,tim=1343836146412051 ===================== PARSING IN CURSOR #47499559126280 len=25 dep=1 uid=0 oct=3 lid=0 tim=1343836146414939 hv=3296884535 ad='11a11d250' sqlid='2mb1493284xtr' SELECT * FROM SYS.MACLEAN END OF STMT PARSE #47499559126280:c=1999,e=2427,p=0,cr=0,cu=0,mis=1,r=0,dep=1,og=1,plh=2568761675,tim=1343836146414937 EXEC #47499559126280:c=0,e=55,p=0,cr=0,cu=0,mis=0,r=0,dep=1,og=1,plh=2568761675,tim=1343836146415104 ????? ? SELECT * FROM SYS.MACLEAN? PARSE ????? , ????FETCH???????pin ????????, ????OPEN CURSOR????? *** 2012-08-01 11:49:36.424 WAIT #47499559136872: nam='PL/SQL lock timer' ela= 30009361 duration=0 p2=0 p3=0 obj#=-1 tim=1343836176424782 ???30s pin ktewh26: kteinpscan dba 0x10a6202:4 time 1039048805 pin ktewh27: kteinmap dba 0x10a6202:4 time 1039048847 pin kdswh11: kdst_fetch dba 0x10a6203:1 time 1039048898 pin kdswh11: kdst_fetch dba 0x10a6204:1 time 1039048961 pin kdswh11: kdst_fetch dba 0x10a6205:1 time 1039049004 pin kdswh11: kdst_fetch dba 0x10a6206:1 time 1039049042 pin kdswh11: kdst_fetch dba 0x10a6207:1 time 1039049089 pin kdswh11: kdst_fetch dba 0x10a6208:1 time 1039049123 pin kdswh11: kdst_fetch dba 0x10a6209:1 time 1039049159 pin kdswh11: kdst_fetch dba 0x10a620a:1 time 1039049191 pin kdswh11: kdst_fetch dba 0x10a620b:1 time 1039049225 pin kdswh11: kdst_fetch dba 0x10a620c:1 time 1039049260 kdst_fetch???fetch??????? , ??fetch?10?? ???????FETCH FETCH #47499559126280:c=0,e=536,p=0,cr=12,cu=0,mis=0,r=10,dep=1,og=1,plh=2568761675,tim=1343836176425542 *** 2012-08-01 11:49:46.428 WAIT #47499559136872: nam='PL/SQL lock timer' ela= 10002694 duration=0 p2=0 p3=0 obj#=-1 tim=134383618642829 ????10s pin kdswh11: kdst_fetch dba 0x10a620d:1 time 1049052211 pin kdswh11: kdst_fetch dba 0x10a620e:1 time 1049052264 pin kdswh11: kdst_fetch dba 0x10a620f:1 time 1049052299 pin kdswh11: kdst_fetch dba 0x10a6211:1 time 1049052332 pin kdswh11: kdst_fetch dba 0x10a6212:1 time 1049052364 pin kdswh11: kdst_fetch dba 0x10a6213:1 time 1049052398 pin kdswh11: kdst_fetch dba 0x10a6214:1 time 1049052430 pin kdswh11: kdst_fetch dba 0x10a6215:1 time 1049052462 pin kdswh11: kdst_fetch dba 0x10a6216:1 time 1049052494 pin kdswh11: kdst_fetch dba 0x10a6217:1 time 1049052525 FETCH #47499559126280:c=0,e=371,p=0,cr=10,cu=0,mis=0,r=10,dep=1,og=1,plh=2568761675,tim=1343836186428807 ??pin 10????, ???fetch ?? WAIT #47499559136872: nam='PL/SQL lock timer' ela= 10002864 duration=0 p2=0 p3=0 obj#=-1 tim=1343836196431754 pin kdswh11: kdst_fetch dba 0x10a6218:1 time 1059055662 pin kdswh11: kdst_fetch dba 0x10a6219:1 time 1059055714 pin kdswh11: kdst_fetch dba 0x10a621a:1 time 1059055748 pin kdswh11: kdst_fetch dba 0x10a621b:1 time 1059055781 pin kdswh11: kdst_fetch dba 0x10a621c:1 time 1059055815 pin kdswh11: kdst_fetch dba 0x10a621d:1 time 1059055848 pin kdswh11: kdst_fetch dba 0x10a621e:1 time 1059055883 pin kdswh11: kdst_fetch dba 0x10a621f:1 time 1059055915 pin kdswh11: kdst_fetch dba 0x10a6221:1 time 1059055953 pin kdswh11: kdst_fetch dba 0x10a6222:1 time 1059055992 FETCH #47499559126280:c=0,e=385,p=0,cr=10,cu=0,mis=0,r=10,dep=1,og=1,plh=2568761675,tim=1343836196432274 ???? ??????? DBA????? ............................ ???? WAIT #47499559136872: nam='PL/SQL lock timer' ela= 10002933 duration=0 p2=0 p3=0 obj#=-1 tim=1343836366495589 pin kdswh11: kdst_fetch dba 0x10a62f6:1 time 1229119497 pin kdswh11: kdst_fetch dba 0x10a62f7:1 time 1229119545 pin kdswh11: kdst_fetch dba 0x10a62f8:1 time 1229119576 pin kdswh11: kdst_fetch dba 0x10a62f9:1 time 1229119610 pin kdswh11: kdst_fetch dba 0x10a62fa:1 time 1229119644 pin kdswh11: kdst_fetch dba 0x10a62fb:1 time 1229119671 pin kdswh11: kdst_fetch dba 0x10a62fc:1 time 1229119703 pin kdswh11: kdst_fetch dba 0x10a62fd:1 time 1229119730 pin kdswh11: kdst_fetch dba 0x10a62fe:1 time 1229119760 pin kdswh11: kdst_fetch dba 0x10a62ff:1 time 1229119787 FETCH #47499559126280:c=0,e=340,p=0,cr=10,cu=0,mis=0,r=10,dep=1,og=1,plh=2568761675,tim=1343836366496067 ??????DBA? 0x10a6203 , ??DBA ? 0x10a62ff ???????DBA??MACLEAN????????,???DBA???Maclean????? getbfno?????dba??????????? CREATE OR REPLACE FUNCTION getbfno (p_dba IN VARCHAR2) RETURN VARCHAR2 IS l_str VARCHAR2 (255) DEFAULT NULL; l_fno VARCHAR2 (15); l_bno VARCHAR2 (15); BEGIN l_fno := DBMS_UTILITY.data_block_address_file (TO_NUMBER (LTRIM (p_dba, '0x'), 'xxxxxxxx' ) ); l_bno := DBMS_UTILITY.data_block_address_block (TO_NUMBER (LTRIM (p_dba, '0x'), 'xxxxxxxx' ) ); l_str := 'datafile# is:' || l_fno || CHR (10) || 'datablock is:' || l_bno || CHR (10) || 'dump command:alter system dump datafile ' || l_fno || ' block ' || l_bno || ';'; RETURN l_str; END; / Function created. SQL> select getbfno('0x10a6203') from dual; GETBFNO('0X10A6203') -------------------------------------------------------------------------------- datafile# is:4 datablock is:680451 dump command:alter system dump datafile 4 block 680451; SQL> select getbfno('0x10a62ff') from dual; GETBFNO('0X10A62FF') -------------------------------------------------------------------------------- datafile# is:4 datablock is:680703 dump command:alter system dump datafile 4 block 680703; SQL> select dbms_rowid.rowid_block_number(min(rowid)),dbms_rowid.rowid_relative_fno(min(rowid)) from maclean; DBMS_ROWID.ROWID_BLOCK_NUMBER(MIN(ROWID)) ----------------------------------------- DBMS_ROWID.ROWID_RELATIVE_FNO(MIN(ROWID)) ----------------------------------------- 680451 4 SQL> select dbms_rowid.rowid_block_number(max(rowid)),dbms_rowid.rowid_relative_fno(max(rowid)) from maclean; DBMS_ROWID.ROWID_BLOCK_NUMBER(MAX(ROWID)) ----------------------------------------- DBMS_ROWID.ROWID_RELATIVE_FNO(MAX(ROWID)) ----------------------------------------- 680703 4 ???????3???: 1.?OPEN CURSOR ?????, PL/SQL????SQL????PARSE SQL????????, ??????OPEN CURSOR????SNAPSHOT SCN ??SCN, ??Oracle?????FETCH?????,???????????????? 2.????FETCH ?????????????? 3. ???open cursor+ fetch bulk collect???”?????????”

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• Configuration problems with django and mod_wsgi

  - by Jimbo

  Hi, I've got problems on getting django to work on apache 2.2 with mod_wsgi. Django is installed and mod_wsgi too. I can even see a 404 page when accessing the path and I can login to django admin. But if I want to install the tagging module I get the following error: Traceback (most recent call last): File "setup.py", line 49, in <module> version_tuple = __import__('tagging').VERSION File "/home/jim/django-tagging/tagging/__init__.py", line 3, in <module> from tagging.managers import ModelTaggedItemManager, TagDescriptor File "/home/jim/django-tagging/tagging/managers.py", line 5, in <module> from django.contrib.contenttypes.models import ContentType File "/usr/lib/python2.5/site-packages/django/contrib/contenttypes/models.py", line 1, in <module> from django.db import models File "/usr/lib/python2.5/site-packages/django/db/__init__.py", line 10, in <module> if not settings.DATABASE_ENGINE: File "/usr/lib/python2.5/site-packages/django/utils/functional.py", line 269, in __getattr__ self._setup() File "/usr/lib/python2.5/site-packages/django/conf/__init__.py", line 40, in _setup self._wrapped = Settings(settings_module) File "/usr/lib/python2.5/site-packages/django/conf/__init__.py", line 75, in __init__ raise ImportError, "Could not import settings '%s' (Is it on sys.path? Does it have syntax errors?): %s" % (self.SETTINGS_MODULE, e) ImportError: Could not import settings 'mysite.settings' (Is it on sys.path? Does it have syntax errors?): No module named mysite.settings My httpd.conf: Alias /media/ /home/jim/django/mysite/media/ <Directory /home/jim/django/mysite/media> Order deny,allow Allow from all </Directory> Alias /admin/media/ "/usr/lib/python2.5/site-packages/django/contrib/admin/media/" <Directory "/usr/lib/python2.5/site-packages/django/contrib/admin/media/"> Order allow,deny Allow from all </Directory> WSGIScriptAlias /dj /home/jim/django/mysite/apache/django.wsgi <Directory /home/jim/django/mysite/apache> Order deny,allow Allow from all </Directory> My django.wsgi: import sys, os sys.path.append('/home/jim/django') sys.path.append('/home/jim/django/mysite') os.chdir('/home/jim/django/mysite') os.environ['DJANGO_SETTINGS_MODULE'] = 'mysite.settings' import django.core.handlers.wsgi application = django.core.handlers.wsgi.WSGIHandler() I try to get this to work since a few days and have read several blogs and answers here on so but nothing worked.

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• Bidirectional FIFO

  - by nunos

  I would like to implement a bidirectional fifo. The code below is functioning but it is not using bidirectional fifo. I have searched all over the internet, but haven't found any good example... How can I do that? Thanks, WRITER.c: #include <stdio.h> #include <unistd.h> #include <string.h> #include <sys/types.h> #include <sys/wait.h> #include <fcntl.h> #define MAXLINE 4096 #define READ 0 #define WRITE 1 int main (int argc, char** argv) { int a, b, fd; do { fd=open("/tmp/myfifo",O_WRONLY); if (fd==-1) sleep(1); } while (fd==-1); while (1) { scanf("%d", &a); scanf("%d", &b); write(fd,&a,sizeof(int)); write(fd,&b,sizeof(int)); if (a == 0 && b == 0) { break; } } close(fd); return 0; } READER.c: #include <stdio.h> #include <unistd.h> #include <string.h> #include <sys/types.h> #include <sys/wait.h> #include <fcntl.h> #include <sys/stat.h> #define MAXLINE 4096 #define READ 0 #define WRITE 1 int main(void) { int n1, n2; int fd; mkfifo("/tmp/myfifo",0660); fd=open("/tmp/myfifo",O_RDONLY); while(read(fd, &n1, sizeof(int) )) { read(fd, &n2, sizeof(int)); if (n1 == 0 && n2 == 0) { break; } printf("soma: %d\n",n1+n2); printf("diferenca: %d\n", n1-n2); printf("divisao: %f\n", n1/(double)n2); printf("multiplicacao: %d\n", n1*n2); } close(fd); return 0; }

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• Memory efficient int-int dict in Python

  - by Bolo

  Hi, I need a memory efficient int-int dict in Python that would support the following operations in O(log n) time: d[k] = v # replace if present v = d[k] # None or a negative number if not present I need to hold ~250M pairs, so it really has to be tight. Do you happen to know a suitable implementation (Python 2.7)? EDIT Removed impossible requirement and other nonsense. Thanks, Craig and Kylotan! To rephrase. Here's a trivial int-int dictionary with 1M pairs: >>> import random, sys >>> from guppy import hpy >>> h = hpy() >>> h.setrelheap() >>> d = {} >>> for _ in xrange(1000000): ... d[random.randint(0, sys.maxint)] = random.randint(0, sys.maxint) ... >>> h.heap() Partition of a set of 1999530 objects. Total size = 49161112 bytes. Index Count % Size % Cumulative % Kind (class / dict of class) 0 1 0 25165960 51 25165960 51 dict (no owner) 1 1999521 100 23994252 49 49160212 100 int On average, a pair of integers uses 49 bytes. Here's an array of 2M integers: >>> import array, random, sys >>> from guppy import hpy >>> h = hpy() >>> h.setrelheap() >>> a = array.array('i') >>> for _ in xrange(2000000): ... a.append(random.randint(0, sys.maxint)) ... >>> h.heap() Partition of a set of 14 objects. Total size = 8001108 bytes. Index Count % Size % Cumulative % Kind (class / dict of class) 0 1 7 8000028 100 8000028 100 array.array On average, a pair of integers uses 8 bytes. I accept that 8 bytes/pair in a dictionary is rather hard to achieve in general. Rephrased question: is there a memory-efficient implementation of int-int dictionary that uses considerably less than 49 bytes/pair?

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• Searching for duplicate records within a text file where the duplicate is determined by only two fie

  - by plg

  First, Python Newbie; be patient/kind. Next, once a month I receive a large text file (think 7 Million records) to test for duplicate values. This is catalog information. I get 7 fields, but the two I'm interested in are a supplier code and a full orderable part number. To determine if the record is dupliacted, I compress all special characters from the part number (except . and #) and create a compressed part number. The test for duplicates becomes the supplier code and compressed part number combination. This part is fairly straight forward. Currently, I am just copying the original file with 2 new columns (compressed part and duplicate indicator). If the part is a duplicate, I put a "YES" in the last field. Now that this is done, I want to be able to go back (or better yet, at the same time) to get the previous record where there was a supplier code/compressed part number match. So far, my code looks like this: Compress Full Part to a Compressed Part and Check for Duplicates on Supplier Code and Compressed Part combination import sys import re import time ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ start=time.time() try: file1 = open("C:\Accounting\May Accounting\May.txt", "r") except IOError: print sys.stderr, "Cannot Open Read File" sys.exit(1) try: file2 = open(file1.name[0:len(file1.name)-4] + "_" + "COMPRESSPN.txt", "a") except IOError: print sys.stderr, "Cannot Open Write File" sys.exit(1) hdrList="CIGSUPPLIER|FULL_PART|PART_STATUS|ALIAS_FLAG|ACQUISITION_FLAG|COMPRESSED_PART|DUPLICATE_INDICATOR" file2.write(hdrList+chr(10)) lines_seen=set() affirm="YES" records = file1.readlines() for record in records: fields = record.split(chr(124)) if fields[0]=="CIGSupplier": continue #If incoming file has a header line, skip it file2.write(fields[0]+"|"), #Supplier Code file2.write(fields[1]+"|"), #Full_Part file2.write(fields[2]+"|"), #Part Status file2.write(fields[3]+"|"), #Alias Flag file2.write(re.sub("[$\r\n]", "", fields[4])+"|"), #Acquisition Flag file2.write(re.sub("[^0-9a-zA-Z.#]", "", fields[1])+"|"), #Compressed_Part dupechk=fields[0]+"|"+re.sub("[^0-9a-zA-Z.#]", "", fields[1]) if dupechk not in lines_seen: file2.write(chr(10)) lines_seen.add(dupechk) else: file2.write(affirm+chr(10)) print "it took", time.time() - start, "seconds." ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ file2.close() file1.close() It runs in less than 6 minutes, so I am happy with this part, even if it is not elegant. Right now, when I get my results, I import the results into Access and do a self join to locate the duplicates. Loading/querying/exporting results in Access a file this size takes around an hour, so I would like to be able to export the matched duplicates to another text file or an Excel file. Confusing enough? Thanks.

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• Improving Partitioned Table Join Performance

  - by Paul White

  The query optimizer does not always choose an optimal strategy when joining partitioned tables. This post looks at an example, showing how a manual rewrite of the query can almost double performance, while reducing the memory grant to almost nothing. Test Data The two tables in this example use a common partitioning partition scheme. The partition function uses 41 equal-size partitions: CREATE PARTITION FUNCTION PFT (integer) AS RANGE RIGHT FOR VALUES ( 125000, 250000, 375000, 500000, 625000, 750000, 875000, 1000000, 1125000, 1250000, 1375000, 1500000, 1625000, 1750000, 1875000, 2000000, 2125000, 2250000, 2375000, 2500000, 2625000, 2750000, 2875000, 3000000, 3125000, 3250000, 3375000, 3500000, 3625000, 3750000, 3875000, 4000000, 4125000, 4250000, 4375000, 4500000, 4625000, 4750000, 4875000, 5000000 ); GO CREATE PARTITION SCHEME PST AS PARTITION PFT ALL TO ([PRIMARY]); There two tables are: CREATE TABLE dbo.T1 ( TID integer NOT NULL IDENTITY(0,1), Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T1 PRIMARY KEY CLUSTERED (TID) ON PST (TID) );   CREATE TABLE dbo.T2 ( TID integer NOT NULL, Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T2 PRIMARY KEY CLUSTERED (TID, Column1) ON PST (TID) ); The next script loads 5 million rows into T1 with a pseudo-random value between 1 and 5 for Column1. The table is partitioned on the IDENTITY column TID: INSERT dbo.T1 WITH (TABLOCKX) (Column1) SELECT (ABS(CHECKSUM(NEWID())) % 5) + 1 FROM dbo.Numbers AS N WHERE n BETWEEN 1 AND 5000000; In case you don’t already have an auxiliary table of numbers lying around, here’s a script to create one with 10 million rows: CREATE TABLE dbo.Numbers (n bigint PRIMARY KEY);   WITH L0 AS(SELECT 1 AS c UNION ALL SELECT 1), L1 AS(SELECT 1 AS c FROM L0 AS A CROSS JOIN L0 AS B), L2 AS(SELECT 1 AS c FROM L1 AS A CROSS JOIN L1 AS B), L3 AS(SELECT 1 AS c FROM L2 AS A CROSS JOIN L2 AS B), L4 AS(SELECT 1 AS c FROM L3 AS A CROSS JOIN L3 AS B), L5 AS(SELECT 1 AS c FROM L4 AS A CROSS JOIN L4 AS B), Nums AS(SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS n FROM L5) INSERT dbo.Numbers WITH (TABLOCKX) SELECT TOP (10000000) n FROM Nums ORDER BY n OPTION (MAXDOP 1); Table T1 contains data like this: Next we load data into table T2. The relationship between the two tables is that table 2 contains ‘n’ rows for each row in table 1, where ‘n’ is determined by the value in Column1 of table T1. There is nothing particularly special about the data or distribution, by the way. INSERT dbo.T2 WITH (TABLOCKX) (TID, Column1) SELECT T.TID, N.n FROM dbo.T1 AS T JOIN dbo.Numbers AS N ON N.n >= 1 AND N.n <= T.Column1; Table T2 ends up containing about 15 million rows: The primary key for table T2 is a combination of TID and Column1. The data is partitioned according to the value in column TID alone. Partition Distribution The following query shows the number of rows in each partition of table T1: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T1 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are 40 partitions containing 125,000 rows (40 * 125k = 5m rows). The rightmost partition remains empty. The next query shows the distribution for table 2: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T2 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are roughly 375,000 rows in each partition (the rightmost partition is also empty): Ok, that’s the test data done. Test Query and Execution Plan The task is to count the rows resulting from joining tables 1 and 2 on the TID column: SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; The optimizer chooses a plan using parallel hash join, and partial aggregation: The Plan Explorer plan tree view shows accurate cardinality estimates and an even distribution of rows across threads (click to enlarge the image): With a warm data cache, the STATISTICS IO output shows that no physical I/O was needed, and all 41 partitions were touched: Running the query without actual execution plan or STATISTICS IO information for maximum performance, the query returns in around 2600ms. Execution Plan Analysis The first step toward improving on the execution plan produced by the query optimizer is to understand how it works, at least in outline. The two parallel Clustered Index Scans use multiple threads to read rows from tables T1 and T2. Parallel scan uses a demand-based scheme where threads are given page(s) to scan from the table as needed. This arrangement has certain important advantages, but does result in an unpredictable distribution of rows amongst threads. The point is that multiple threads cooperate to scan the whole table, but it is impossible to predict which rows end up on which threads. For correct results from the parallel hash join, the execution plan has to ensure that rows from T1 and T2 that might join are processed on the same thread. For example, if a row from T1 with join key value ‘1234’ is placed in thread 5’s hash table, the execution plan must guarantee that any rows from T2 that also have join key value ‘1234’ probe thread 5’s hash table for matches. The way this guarantee is enforced in this parallel hash join plan is by repartitioning rows to threads after each parallel scan. The two repartitioning exchanges route rows to threads using a hash function over the hash join keys. The two repartitioning exchanges use the same hash function so rows from T1 and T2 with the same join key must end up on the same hash join thread. Expensive Exchanges This business of repartitioning rows between threads can be very expensive, especially if a large number of rows is involved. The execution plan selected by the optimizer moves 5 million rows through one repartitioning exchange and around 15 million across the other. As a first step toward removing these exchanges, consider the execution plan selected by the optimizer if we join just one partition from each table, disallowing parallelism: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = 1 AND $PARTITION.PFT(T2.TID) = 1 OPTION (MAXDOP 1); The optimizer has chosen a (one-to-many) merge join instead of a hash join. The single-partition query completes in around 100ms. If everything scaled linearly, we would expect that extending this strategy to all 40 populated partitions would result in an execution time around 4000ms. Using parallelism could reduce that further, perhaps to be competitive with the parallel hash join chosen by the optimizer. This raises a question. If the most efficient way to join one partition from each of the tables is to use a merge join, why does the optimizer not choose a merge join for the full query? Forcing a Merge Join Let’s force the optimizer to use a merge join on the test query using a hint: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN); This is the execution plan selected by the optimizer: This plan results in the same number of logical reads reported previously, but instead of 2600ms the query takes 5000ms. The natural explanation for this drop in performance is that the merge join plan is only using a single thread, whereas the parallel hash join plan could use multiple threads. Parallel Merge Join We can get a parallel merge join plan using the same query hint as before, and adding trace flag 8649: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN, QUERYTRACEON 8649); The execution plan is: This looks promising. It uses a similar strategy to distribute work across threads as seen for the parallel hash join. In practice though, performance is disappointing. On a typical run, the parallel merge plan runs for around 8400ms; slower than the single-threaded merge join plan (5000ms) and much worse than the 2600ms for the parallel hash join. We seem to be going backwards! The logical reads for the parallel merge are still exactly the same as before, with no physical IOs. The cardinality estimates and thread distribution are also still very good (click to enlarge): A big clue to the reason for the poor performance is shown in the wait statistics (captured by Plan Explorer Pro): CXPACKET waits require careful interpretation, and are most often benign, but in this case excessive waiting occurs at the repartitioning exchanges. Unlike the parallel hash join, the repartitioning exchanges in this plan are order-preserving ‘merging’ exchanges (because merge join requires ordered inputs): Parallelism works best when threads can just grab any available unit of work and get on with processing it. Preserving order introduces inter-thread dependencies that can easily lead to significant waits occurring. In extreme cases, these dependencies can result in an intra-query deadlock, though the details of that will have to wait for another time to explore in detail. The potential for waits and deadlocks leads the query optimizer to cost parallel merge join relatively highly, especially as the degree of parallelism (DOP) increases. This high costing resulted in the optimizer choosing a serial merge join rather than parallel in this case. The test results certainly confirm its reasoning. Collocated Joins In SQL Server 2008 and later, the optimizer has another available strategy when joining tables that share a common partition scheme. This strategy is a collocated join, also known as as a per-partition join. It can be applied in both serial and parallel execution plans, though it is limited to 2-way joins in the current optimizer. Whether the optimizer chooses a collocated join or not depends on cost estimation. The primary benefits of a collocated join are that it eliminates an exchange and requires less memory, as we will see next. Costing and Plan Selection The query optimizer did consider a collocated join for our original query, but it was rejected on cost grounds. The parallel hash join with repartitioning exchanges appeared to be a cheaper option. There is no query hint to force a collocated join, so we have to mess with the costing framework to produce one for our test query. Pretending that IOs cost 50 times more than usual is enough to convince the optimizer to use collocated join with our test query: -- Pretend IOs are 50x cost temporarily DBCC SETIOWEIGHT(50);   -- Co-located hash join SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (RECOMPILE);   -- Reset IO costing DBCC SETIOWEIGHT(1); Collocated Join Plan The estimated execution plan for the collocated join is: The Constant Scan contains one row for each partition of the shared partitioning scheme, from 1 to 41. The hash repartitioning exchanges seen previously are replaced by a single Distribute Streams exchange using Demand partitioning. Demand partitioning means that the next partition id is given to the next parallel thread that asks for one. My test machine has eight logical processors, and all are available for SQL Server to use. As a result, there are eight threads in the single parallel branch in this plan, each processing one partition from each table at a time. Once a thread finishes processing a partition, it grabs a new partition number from the Distribute Streams exchange…and so on until all partitions have been processed. It is important to understand that the parallel scans in this plan are different from the parallel hash join plan. Although the scans have the same parallelism icon, tables T1 and T2 are not being co-operatively scanned by multiple threads in the same way. Each thread reads a single partition of T1 and performs a hash match join with the same partition from table T2. The properties of the two Clustered Index Scans show a Seek Predicate (unusual for a scan!) limiting the rows to a single partition: The crucial point is that the join between T1 and T2 is on TID, and TID is the partitioning column for both tables. A thread that processes partition ‘n’ is guaranteed to see all rows that can possibly join on TID for that partition. In addition, no other thread will see rows from that partition, so this removes the need for repartitioning exchanges. CPU and Memory Efficiency Improvements The collocated join has removed two expensive repartitioning exchanges and added a single exchange processing 41 rows (one for each partition id). Remember, the parallel hash join plan exchanges had to process 5 million and 15 million rows. The amount of processor time spent on exchanges will be much lower in the collocated join plan. In addition, the collocated join plan has a maximum of 8 threads processing single partitions at any one time. The 41 partitions will all be processed eventually, but a new partition is not started until a thread asks for it. Threads can reuse hash table memory for the new partition. The parallel hash join plan also had 8 hash tables, but with all 5,000,000 build rows loaded at the same time. The collocated plan needs memory for only 8 * 125,000 = 1,000,000 rows at any one time. Collocated Hash Join Performance The collated join plan has disappointing performance in this case. The query runs for around 25,300ms despite the same IO statistics as usual. This is much the worst result so far, so what went wrong? It turns out that cardinality estimation for the single partition scans of table T1 is slightly low. The properties of the Clustered Index Scan of T1 (graphic immediately above) show the estimation was for 121,951 rows. This is a small shortfall compared with the 125,000 rows actually encountered, but it was enough to cause the hash join to spill to physical tempdb: A level 1 spill doesn’t sound too bad, until you realize that the spill to tempdb probably occurs for each of the 41 partitions. As a side note, the cardinality estimation error is a little surprising because the system tables accurately show there are 125,000 rows in every partition of T1. Unfortunately, the optimizer uses regular column and index statistics to derive cardinality estimates here rather than system table information (e.g. sys.partitions). Collocated Merge Join We will never know how well the collocated parallel hash join plan might have worked without the cardinality estimation error (and the resulting 41 spills to tempdb) but we do know: Merge join does not require a memory grant; and Merge join was the optimizer’s preferred join option for a single partition join Putting this all together, what we would really like to see is the same collocated join strategy, but using merge join instead of hash join. Unfortunately, the current query optimizer cannot produce a collocated merge join; it only knows how to do collocated hash join. So where does this leave us? CROSS APPLY sys.partitions We can try to write our own collocated join query. We can use sys.partitions to find the partition numbers, and CROSS APPLY to get a count per partition, with a final step to sum the partial counts. The following query implements this idea: SELECT row_count = SUM(Subtotals.cnt) FROM ( -- Partition numbers SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1 ) AS P CROSS APPLY ( -- Count per collocated join SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals; The estimated plan is: The cardinality estimates aren’t all that good here, especially the estimate for the scan of the system table underlying the sys.partitions view. Nevertheless, the plan shape is heading toward where we would like to be. Each partition number from the system table results in a per-partition scan of T1 and T2, a one-to-many Merge Join, and a Stream Aggregate to compute the partial counts. The final Stream Aggregate just sums the partial counts. Execution time for this query is around 3,500ms, with the same IO statistics as always. This compares favourably with 5,000ms for the serial plan produced by the optimizer with the OPTION (MERGE JOIN) hint. This is another case of the sum of the parts being less than the whole – summing 41 partial counts from 41 single-partition merge joins is faster than a single merge join and count over all partitions. Even so, this single-threaded collocated merge join is not as quick as the original parallel hash join plan, which executed in 2,600ms. On the positive side, our collocated merge join uses only one logical processor and requires no memory grant. The parallel hash join plan used 16 threads and reserved 569 MB of memory:   Using a Temporary Table Our collocated merge join plan should benefit from parallelism. The reason parallelism is not being used is that the query references a system table. We can work around that by writing the partition numbers to a temporary table (or table variable): SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   CREATE TABLE #P ( partition_number integer PRIMARY KEY);   INSERT #P (partition_number) SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1;   SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals;   DROP TABLE #P;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; Using the temporary table adds a few logical reads, but the overall execution time is still around 3500ms, indistinguishable from the same query without the temporary table. The problem is that the query optimizer still doesn’t choose a parallel plan for this query, though the removal of the system table reference means that it could if it chose to: In fact the optimizer did enter the parallel plan phase of query optimization (running search 1 for a second time): Unfortunately, the parallel plan found seemed to be more expensive than the serial plan. This is a crazy result, caused by the optimizer’s cost model not reducing operator CPU costs on the inner side of a nested loops join. Don’t get me started on that, we’ll be here all night. In this plan, everything expensive happens on the inner side of a nested loops join. Without a CPU cost reduction to compensate for the added cost of exchange operators, candidate parallel plans always look more expensive to the optimizer than the equivalent serial plan. Parallel Collocated Merge Join We can produce the desired parallel plan using trace flag 8649 again: SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: One difference between this plan and the collocated hash join plan is that a Repartition Streams exchange operator is used instead of Distribute Streams. The effect is similar, though not quite identical. The Repartition uses round-robin partitioning, meaning the next partition id is pushed to the next thread in sequence. The Distribute Streams exchange seen earlier used Demand partitioning, meaning the next partition id is pulled across the exchange by the next thread that is ready for more work. There are subtle performance implications for each partitioning option, but going into that would again take us too far off the main point of this post. Performance The important thing is the performance of this parallel collocated merge join – just 1350ms on a typical run. The list below shows all the alternatives from this post (all timings include creation, population, and deletion of the temporary table where appropriate) from quickest to slowest: Collocated parallel merge join: 1350ms Parallel hash join: 2600ms Collocated serial merge join: 3500ms Serial merge join: 5000ms Parallel merge join: 8400ms Collated parallel hash join: 25,300ms (hash spill per partition) The parallel collocated merge join requires no memory grant (aside from a paltry 1.2MB used for exchange buffers). This plan uses 16 threads at DOP 8; but 8 of those are (rather pointlessly) allocated to the parallel scan of the temporary table. These are minor concerns, but it turns out there is a way to address them if it bothers you. Parallel Collocated Merge Join with Demand Partitioning This final tweak replaces the temporary table with a hard-coded list of partition ids (dynamic SQL could be used to generate this query from sys.partitions): SELECT row_count = SUM(Subtotals.cnt) FROM ( VALUES (1),(2),(3),(4),(5),(6),(7),(8),(9),(10), (11),(12),(13),(14),(15),(16),(17),(18),(19),(20), (21),(22),(23),(24),(25),(26),(27),(28),(29),(30), (31),(32),(33),(34),(35),(36),(37),(38),(39),(40),(41) ) AS P (partition_number) CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: The parallel collocated hash join plan is reproduced below for comparison: The manual rewrite has another advantage that has not been mentioned so far: the partial counts (per partition) can be computed earlier than the partial counts (per thread) in the optimizer’s collocated join plan. The earlier aggregation is performed by the extra Stream Aggregate under the nested loops join. The performance of the parallel collocated merge join is unchanged at around 1350ms. Final Words It is a shame that the current query optimizer does not consider a collocated merge join (Connect item closed as Won’t Fix). The example used in this post showed an improvement in execution time from 2600ms to 1350ms using a modestly-sized data set and limited parallelism. In addition, the memory requirement for the query was almost completely eliminated  – down from 569MB to 1.2MB. The problem with the parallel hash join selected by the optimizer is that it attempts to process the full data set all at once (albeit using eight threads). It requires a large memory grant to hold all 5 million rows from table T1 across the eight hash tables, and does not take advantage of the divide-and-conquer opportunity offered by the common partitioning. The great thing about the collocated join strategies is that each parallel thread works on a single partition from both tables, reading rows, performing the join, and computing a per-partition subtotal, before moving on to a new partition. From a thread’s point of view… If you have trouble visualizing what is happening from just looking at the parallel collocated merge join execution plan, let’s look at it again, but from the point of view of just one thread operating between the two Parallelism (exchange) operators. Our thread picks up a single partition id from the Distribute Streams exchange, and starts a merge join using ordered rows from partition 1 of table T1 and partition 1 of table T2. By definition, this is all happening on a single thread. As rows join, they are added to a (per-partition) count in the Stream Aggregate immediately above the Merge Join. Eventually, either T1 (partition 1) or T2 (partition 1) runs out of rows and the merge join stops. The per-partition count from the aggregate passes on through the Nested Loops join to another Stream Aggregate, which is maintaining a per-thread subtotal. Our same thread now picks up a new partition id from the exchange (say it gets id 9 this time). The count in the per-partition aggregate is reset to zero, and the processing of partition 9 of both tables proceeds just as it did for partition 1, and on the same thread. Each thread picks up a single partition id and processes all the data for that partition, completely independently from other threads working on other partitions. One thread might eventually process partitions (1, 9, 17, 25, 33, 41) while another is concurrently processing partitions (2, 10, 18, 26, 34) and so on for the other six threads at DOP 8. The point is that all 8 threads can execute independently and concurrently, continuing to process new partitions until the wider job (of which the thread has no knowledge!) is done. This divide-and-conquer technique can be much more efficient than simply splitting the entire workload across eight threads all at once. Related Reading Understanding and Using Parallelism in SQL Server Parallel Execution Plans Suck © 2013 Paul White – All Rights Reserved Twitter: @SQL_Kiwi

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• Alert visualization recipe: Get out your blender, drop in some sp_send_dbmail, Google Charts API, add your favorite colors and sprinkle with html. Blend till it’s smooth and looks pretty enough to taste.

  - by Maria Zakourdaev

    I really like database monitoring. My email inbox have a constant flow of different types of alerts coming from our production servers with all kinds of information, sometimes more useful and sometimes less useful. Usually database alerts look really simple, it’s usually a plain text email saying “Prod1 Database data file on Server X is 80% used. You’d better grow it manually before some query triggers the AutoGrowth process”. Imagine you could have received email like the one below.  In addition to the alert description it could have also included the the database file growth chart over the past 6 months. Wouldn’t it give you much more information whether the data growth is natural or extreme? That’s truly what data visualization is for. Believe it or not, I have sent the graph below from SQL Server stored procedure without buying any additional data monitoring/visualization tool.   Would you like to visualize your database alerts like I do? Then like myself, you’d love the Google Charts. All you need to know is a little HTML and have a mail profile configured on your SQL Server instance regardless of the SQL Server version. First of all, I hope you know that the sp_send_dbmail procedure has a great parameter @body_format = ‘HTML’, which allows us to send rich and colorful messages instead of boring black and white ones. All that we need is to dynamically create HTML code. This is how, for instance, you can create a table and populate it with some data: DECLARE @html varchar(max) SET @html = '<html>' + '<H3><font id="Text" style='color: Green;'>Top Databases: </H3>' + '<table border="1" bordercolor="#3300FF" style='background-color:#DDF8CC' width='70%' cellpadding='3' cellspacing='3'>' + '<tr><font color="Green"><th>Database Name</th><th>Size</th><th>Physical Name</th></tr>' + CAST( (SELECT TOP 10                             td = name,'',                             td = size * 8/1024 ,'',                             td = physical_name              FROM sys.master_files               ORDER BY size DESC             FOR XML PATH ('tr'),TYPE ) AS VARCHAR(MAX)) + '</table>' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Top databases', @body = @html, @body_format = 'HTML' This is the result:   If you want to add more visualization effects, you can use Google Charts Tools https://google-developers.appspot.com/chart/interactive/docs/index which is a free and rich library of data visualization charts, they’re also easy to populate and embed. There are two versions of the Google Charts Image based charts: https://google-developers.appspot.com/chart/image/docs/gallery/chart_gall This is an old version, it’s officially deprecated although it will be up for a next few years or so. I really enjoy using this one because it can be viewed within the email body. For mobile devices you need to change the “Load remote images” property in your email application configuration.           Charts based on JavaScript classes: https://google-developers.appspot.com/chart/interactive/docs/gallery This API is newer, with rich and highly interactive charts, and it’s much more easier to understand and configure. The only downside of it is that they cannot be viewed within the email body. Outlook, Gmail and many other email clients, as part of their security policy, do not run any JavaScript that’s placed within the email body. However, you can still enjoy this API by sending the report as an email attachment. Here is an example of the old version of Google Charts API, sending the same top databases report as in the previous example but instead of a simple table, this script is using a pie chart right from  the T-SQL code DECLARE @html  varchar(8000) DECLARE @Series  varchar(800),@Labels  varchar(8000),@Legend  varchar(8000);     SET @Series = ''; SET @Labels = ''; SET @Legend = ''; SELECT TOP 5 @Series = @Series + CAST(size * 8/1024 as varchar) + ',',                         @Labels = @Labels +CAST(size * 8/1024 as varchar) + 'MB'+'|',                         @Legend = @Legend + name + '|' FROM sys.master_files ORDER BY size DESC SELECT @Series = SUBSTRING(@Series,1,LEN(@Series)-1),         @Labels = SUBSTRING(@Labels,1,LEN(@Labels)-1),         @Legend = SUBSTRING(@Legend,1,LEN(@Legend)-1) SET @html =   '<H3><font color="Green"> '+@@ServerName+' top 5 databases : </H3>'+    '<br>'+    '<img src="http://chart.apis.google.com/chart?'+    'chf=bg,s,DDF8CC&'+    'cht=p&'+    'chs=400x200&'+    'chco=3072F3|7777CC|FF9900|FF0000|4A8C26&'+    'chd=t:'+@Series+'&'+    'chl='+@Labels+'&'+    'chma=0,0,0,0&'+    'chdl='+@Legend+'&'+    'chdlp=b"'+    'alt="'+@@ServerName+' top 5 databases" />'              EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]',                             @subject = 'Top databases',                             @body = @html,                             @body_format = 'HTML' This is what you get. Isn’t it great? Chart parameters reference: chf     Gradient fill  bg - backgroud ; s- solid cht     chart type  ( p - pie) chs        chart size width/height chco    series colors chd        chart data string        1,2,3,2 chl        pir chart labels        a|b|c|d chma    chart margins chdl    chart legend            a|b|c|d chdlp    chart legend text        b - bottom of chart   Line graph implementation is also really easy and powerful DECLARE @html varchar(max) DECLARE @Series varchar(max) DECLARE @HourList varchar(max) SET @Series = ''; SET @HourList = ''; SELECT @HourList = @HourList + SUBSTRING(CONVERT(varchar(13),last_execution_time,121), 12,2)  + '|' ,              @Series = @Series + CAST( COUNT(1) as varchar) + ',' FROM sys.dm_exec_query_stats s     CROSS APPLY sys.dm_exec_sql_text(plan_handle) t WHERE last_execution_time > = getdate()-1 GROUP BY CONVERT(varchar(13),last_execution_time,121) ORDER BY CONVERT(varchar(13),last_execution_time,121) SET @Series = SUBSTRING(@Series,1,LEN(@Series)-1) SET @html = '<img src="http://chart.apis.google.com/chart?'+ 'chco=CA3D05,87CEEB&'+ 'chd=t:'+@Series+'&'+ 'chds=1,350&'+ 'chdl= Proc executions from cache&'+ 'chf=bg,s,1F1D1D|c,lg,0,363433,1.0,2E2B2A,0.0&'+ 'chg=25.0,25.0,3,2&'+ 'chls=3|3&'+ 'chm=d,CA3D05,0,-1,12,0|d,FFFFFF,0,-1,8,0|d,87CEEB,1,-1,12,0|d,FFFFFF,1,-1,8,0&'+ 'chs=600x450&'+ 'cht=lc&'+ 'chts=FFFFFF,14&'+ 'chtt=Executions for from' +(SELECT CONVERT(varchar(16),min(last_execution_time),121)          FROM sys.dm_exec_query_stats          WHERE last_execution_time > = getdate()-1) +' till '+ +(SELECT CONVERT(varchar(16),max(last_execution_time),121)     FROM sys.dm_exec_query_stats) + '&'+ 'chxp=1,50.0|4,50.0&'+ 'chxs=0,FFFFFF,12,0|1,FFFFFF,12,0|2,FFFFFF,12,0|3,FFFFFF,12,0|4,FFFFFF,14,0&'+ 'chxt=y,y,x,x,x&'+ 'chxl=0:|1|350|1:|N|2:|'+@HourList+'3:|Hour&'+ 'chma=55,120,0,0" alt="" />' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Daily number of executions', @body = @html, @body_format = 'HTML' Chart parameters reference: chco    series colors chd        series data chds    scale format chdl    chart legend chf        background fills chg        grid line chls    line style chm        line fill chs        chart size cht        chart type chts    chart style chtt    chart title chxp    axis label positions chxs    axis label styles chxt    axis tick mark styles chxl    axis labels chma    chart margins If you don’t mind to get your charts as an email attachment, you can enjoy the Java based Google Charts which are even easier to configure, and have much more advanced graphics. In the example below, the sp_send_email procedure uses the parameter @query which will be executed at the time that sp_send_dbemail is executed and the HTML result of this execution will be attached to the email. DECLARE @html varchar(max),@query varchar(max) DECLARE @SeriesDBusers  varchar(800);     SET @SeriesDBusers = ''; SELECT @SeriesDBusers = @SeriesDBusers +  ' ["'+DB_NAME(r.database_id) +'", ' +cast(count(1) as varchar)+'],' FROM sys.dm_exec_requests r GROUP BY DB_NAME(database_id) ORDER BY count(1) desc; SET @SeriesDBusers = SUBSTRING(@SeriesDBusers,1,LEN(@SeriesDBusers)-1) SET @query = ' PRINT '' <html>   <head>     <script type="text/javascript" src="https://www.google.com/jsapi"></script>     <script type="text/javascript">       google.load("visualization", "1", {packages:["corechart"]});        google.setOnLoadCallback(drawChart);       function drawChart() {                      var data = google.visualization.arrayToDataTable([                        ["Database Name", "Active users"],                        '+@SeriesDBusers+'                      ]);                        var options = {                        title: "Active users",                        pieSliceText: "value"                      };                        var chart = new google.visualization.PieChart(document.getElementById("chart_div"));                      chart.draw(data, options);       };     </script>   </head>   <body>     <table>     <tr><td>         <div id="chart_div" style='width: 800px; height: 300px;'></div>         </td></tr>     </table>   </body> </html> ''' EXEC msdb.dbo.sp_send_dbmail    @recipients = '[email protected]',    @subject ='Active users',    @body = @html,    @body_format = 'HTML',    @query = @Query,     @attach_query_result_as_file = 1,     @query_attachment_filename = 'Results.htm' After opening the email attachment in the browser you are getting this kind of report: In fact, the above is not only for database alerts. It can be used for applicative reports if you need high levels of customization that you cannot achieve using standard methods like SSRS. If you need more information on how to customize the charts, you can try the following: Image Based Charts wizard https://google-developers.appspot.com/chart/image/docs/chart_wizard  Live Image Charts Playground https://google-developers.appspot.com/chart/image/docs/chart_playground Image Based Charts Parameters List https://google-developers.appspot.com/chart/image/docs/chart_params Java Script Charts Playground https://code.google.com/apis/ajax/playground/?type=visualization Use the above examples as a starting point for your procedures and I’d be more than happy to hear of your implementations of the above techniques. Yours, Maria

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• Automatic Standby Recreation for Data Guard

  - by pablo.boixeda(at)oracle.com

  Hi,Unfortunately sometimes a Standby Instance needs to be recreated. This can happen for many reasons such as lost archive logs, standby data files, failover, among others.This is why we wanted to have one script to recreate standby instances in an easy way.This script recreates the standby considering some prereqs:-Database Version should be at least 11gR1-Dummy instance started on the standby node (Seeking to improve this so it won't be needed)-Broker configuration hasn't been removed-In our case we have two TNSNAMES files, one for the Standby creation (using SID) and the other one for production using service names (including broker service name)-Some environment variables set up by the environment db script (like ORACLE_HOME, PATH...)-The directory tree should not have been modified in the stanby hostWe are currently using it on our 11gR2 Data Guard tests.Any improvements will be welcome! Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} #!/bin/ksh ###    NOMBRE / VERSION ###       recrea_dg.sh   v.1.00 ### ###    DESCRIPCION ###       reacreacion de la Standby ### ###    DEVUELVE ###       0 Creacion de STANDBY correcta ###       1 Fallo ### ###    NOTAS ###       Este shell script NO DEBE MODIFICARSE. ###       Todas las variables y constantes necesarias se toman del entorno. ### ###    MODIFICADO POR:    FECHA:        COMENTARIOS: ###    ---------------    ----------    ------------------------------------- ###      Oracle           15/02/2011    Creacion. ### ### ### Cargar entorno ### V_ADMIN_DIR=`dirname $0` . ${V_ADMIN_DIR}/entorno_bd.sh 1>>/dev/null if [ $? -ne 0 ] then   echo "Error Loading the environment."   exit 1 fi V_RET=0 V_DATE=`/bin/date` V_DATE_F=`/bin/date +%Y%m%d_%H%M%S` V_LOGFILE=${V_TRAZAS}/recrea_dg_${V_DATE_F}.log exec 4>&1 tee ${V_FICH_LOG} >&4 |& exec 1>&p 2>&1 ### ### Variables para Recrear el Data Guard ### V_DB_BR=`echo ${V_DB_NAME}|tr '[:lower:]' '[:upper:]'` if [ "${ORACLE_SID}" = "${V_DB_NAME}01" ] then         V_LOCAL_BR=${V_DB_BR}'01'         V_REMOTE_BR=${V_DB_BR}'02' else         V_LOCAL_BR=${V_DB_BR}'02'         V_REMOTE_BR=${V_DB_BR}'01' fi echo " Getting local instance ROLE ${ORACLE_SID} ..." sqlplus -s /nolog 1>>/dev/null 2>&1 <<-! whenever sqlerror exit 1 connect / as sysdba variable salida number declare   v_database_role v\$database.database_role%type; begin   select database_role into v_database_role from v\$database;   :salida := case v_database_role        when 'PRIMARY' then 2        when 'PHYSICAL STANDBY' then 3        else 4      end; end; / exit :salida ! case $? in 1) echo " ERROR: Cannot get instance ROLE ." | tee -a ${V_LOGFILE}   2>&1    V_RET=1 ;; 2) echo " Local Instance with PRIMARY role." | tee -a ${V_LOGFILE}   2>&1    V_DB_ROLE_LCL=PRIMARY ;; 3) echo " Local Instance with PHYSICAL STANDBY role." | tee -a ${V_LOGFILE}   2>&1    V_DB_ROLE_LCL=STANDBY ;; *) echo " ERROR: UNKNOWN ROLE." | tee -a ${V_LOGFILE}   2>&1    V_RET=1 ;; esac if [ "${V_DB_ROLE_LCL}" = "PRIMARY" ] then         echo "####################################################################" | tee -a ${V_LOGFILE}   2>&1         echo "${V_DATE} - Reacreating  STANDBY Instance." | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         echo "DATAFILES, CONTROL FILES, REDO LOGS and ARCHIVE LOGS in standby instance ${V_REMOTE_BR} will be removed" | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         V_PRIMARY=${V_LOCAL_BR}         V_STANDBY=${V_REMOTE_BR} fi if [ "${V_DB_ROLE_LCL}" = "STANDBY" ] then         echo "####################################################################" | tee -a ${V_LOGFILE}   2>&1         echo "${V_DATE} - Reacreating  STANDBY Instance." | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         echo "DATAFILES, CONTROL FILES, REDO LOGS and ARCHIVE LOGS in standby instance ${V_LOCAL_BR} will be removed" | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         V_PRIMARY=${V_REMOTE_BR}         V_STANDBY=${V_LOCAL_BR} fi # Cargamos las variables de los hosts # Cargamos las variables de los hosts PRY_HOST=`sqlplus  /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[   ]//g' connect sys/${V_DB_PWD}@${V_PRIMARY} as sysdba select 'KEEP',host_name from v\\$instance; EOF` SBY_HOST=`sqlplus  /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[   ]//g' connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba select 'KEEP',host_name from v\\$instance; EOF` echo "el HOST primary es: ${PRY_HOST}" | tee -a ${V_LOGFILE}   2>&1 echo "el HOST standby es: ${SBY_HOST}" | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 ## ## Paramos la instancia STANDBY ## V_DATE=`/bin/date` echo "${V_DATE} - Shutting down Standby instance" | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ## ## Paramos la instancia STANDBY ## SBY_STATUS=`sqlplus  /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[   ]//g' connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba select 'KEEP',status from v\\$instance; EOF` if [ ${SBY_STATUS} = 'STARTED' ] || [ ${SBY_STATUS} = 'MOUNTED' ] || [ ${SBY_STATUS} = 'OPEN' ] then         echo "${V_DATE} - Standby instance shutdown in progress..." | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1         sqlplus -s /nolog 1>>/dev/null 2>&1 <<-!         whenever sqlerror exit 1         connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba         shutdown abort         ! fi V_DATE=`/bin/date` echo "" echo "${V_DATE} - Standby instance stopped" | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ## ## Eliminamos los ficheros de la base de datos ## V_SBY_SID=`echo ${V_STANDBY}|tr '[:upper:]' '[:lower:]'` V_PRY_SID=`echo ${V_PRIMARY}|tr '[:upper:]' '[:lower:]'` ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/data/*.dbf ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/arch/*.arc ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/ctl/*.ctl ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/*.ctl ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/*.rdo ## ## Startup nomount stby instance ## V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Starting  DUMMY Standby Instance " | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ssh ${SBY_HOST} touch /home/oracle/init_dg.ora ssh ${SBY_HOST} 'echo "DB_NAME='${V_DB_NAME}'">>/home/oracle/init_dg.ora' ssh ${SBY_HOST} touch /home/oracle/start_dummy.sh ssh ${SBY_HOST} 'echo "ORACLE_HOME=/opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2 ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export ORACLE_HOME">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "PATH=\$ORACLE_HOME/bin:\$PATH">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export PATH">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "ORACLE_SID='${V_SBY_SID}'">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export ORACLE_SID">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "sqlplus -s /nolog <<-!" >>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "      whenever sqlerror exit 1 ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "      connect / as sysdba ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "      startup nomount pfile='\''/home/oracle/init_dg.ora'\''">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "! ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'chmod 744 /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'sh /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'rm /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'rm /home/oracle/init_dg.ora' ## ## TNSNAMES change, specific for RMAN duplicate ## V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Setting up TNSNAMES in PRIMARY host " | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ssh ${PRY_HOST} 'cp /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora.inst  /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora' V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Starting STANDBY creation with RMAN.. " | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 rman<<-! >>${V_LOGFILE} connect target sys/${V_DB_PWD}@${V_PRIMARY} connect auxiliary sys/${V_DB_PWD}@${V_STANDBY} run { allocate channel prmy1 type disk; allocate channel prmy2 type disk; allocate channel prmy3 type disk; allocate channel prmy4 type disk; allocate auxiliary channel stby type disk; duplicate target database for standby from active database dorecover spfile parameter_value_convert '${V_PRY_SID}','${V_SBY_SID}' set control_files='/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/ctl/control01.ctl','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/control02.ctl' set db_file_name_convert='/opt/oracle/db/db${V_DB_NAME}/${V_PRY_SID}/','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/' set log_file_name_convert='/opt/oracle/db/db${V_DB_NAME}/${V_PRY_SID}/','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/' set 'db_unique_name'='${V_SBY_SID}' set log_archive_config='DG_CONFIG=(${V_PRIMARY},${V_STANDBY})' set fal_client='${V_STANDBY}' set fal_server='${V_PRIMARY}' set log_archive_dest_1='LOCATION=/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/arch DB_UNIQUE_NAME=${V_SBY_SID} MANDATORY VALID_FOR=(ALL_LOGFILES,ALL_ROLES)' set log_archive_dest_2='SERVICE="${V_PRIMARY}"','SYNC AFFIRM DB_UNIQUE_NAME=${V_PRY_SID} DELAY=0 MAX_FAILURE=0 REOPEN=300 REGISTER VALID_FOR=(ONLINE_LOGFILES,PRIMARY_ROLE)' nofilenamecheck ; } ! V_DATE=`/bin/date` if [ $? -ne 0 ] then         echo ""         echo "${V_DATE} - Error creating STANDBY instance"         echo ""         echo "********************************************************************************" else         echo ""         echo "${V_DATE} - STANDBY instance created SUCCESSFULLY "         echo ""         echo "********************************************************************************" fi sqlplus -s /nolog 1>>/dev/null 2>&1 <<-!         whenever sqlerror exit 1         connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba         alter system set local_listener='(ADDRESS=(PROTOCOL=TCP)(HOST=${SBY_HOST})(PORT=1544))' scope=both;         alter system set service_names='${V_DB_NAME}.eu.roca.net,${V_SBY_SID}.eu.roca.net,${V_SBY_SID}_DGMGRL.eu.roca.net' scope=both;         alter database recover managed standby database using current logfile disconnect from session;         alter system set dg_broker_start=true scope=both; ! ## ## TNSNAMES change, back to Production Mode ## V_DATE=`/bin/date` echo " " | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Restoring TNSNAMES in PRIMARY "  | tee -a ${V_LOGFILE}   2>&1 echo ""  | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************"  | tee -a ${V_LOGFILE}   2>&1 ssh ${PRY_HOST} 'cp /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora.prod  /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora' echo ""  | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} -  Waiting for media recovery before check the DATA GUARD Broker"  | tee -a ${V_LOGFILE}   2>&1 echo ""  | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************"  | tee -a ${V_LOGFILE}   2>&1 sleep 200 dgmgrl <<-! | grep SUCCESS 1>/dev/null 2>&1     connect ${V_DB_USR}/${V_DB_PWD}@${V_STANDBY}     show configuration verbose; ! if [ $? -ne 0 ] ; then         echo "       ERROR: El status del Broker no es SUCCESS" | tee -a ${V_LOGFILE}   2>&1 ;         V_RET=1 else          echo "      DATA GUARD OK " | tee -a ${V_LOGFILE}   2>&1 ; Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}         V_RET=0 fi Hope it helps.

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• Find Out Why It Is Best To Automatically Update the Radeon HD Graphics Driver

  So many ATi owners around the world don?t really know how to care for their video cards. And when it comes to the radeon hd 3200 graphics driver, they don?t even consider that it will even need maint... [Author: Sunny Makkar - Computers and Internet - March 20, 2010]

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• SQL SERVER – Update Statistics are Sampled By Default

  - by pinaldave

  After reading my earlier post SQL SERVER – Create Primary Key with Specific Name when Creating Table on Statistics, I have received another question by a blog reader. The question is as follows: Question: Are the statistics sampled by default? Answer: Yes. The sampling rate can be specified by the user and it can be anywhere between a very low value to 100%. Let us do a small experiment to verify if the auto update on statistics is left on. Also, let’s examine a very large table that is created and statistics by default- whether the statistics are sampled or not. USE [AdventureWorks] GO -- Create Table CREATE TABLE [dbo].[StatsTest]( [ID] [int] IDENTITY(1,1) NOT NULL, [FirstName] [varchar](100) NULL, [LastName] [varchar](100) NULL, [City] [varchar](100) NULL, CONSTRAINT [PK_StatsTest] PRIMARY KEY CLUSTERED ([ID] ASC) ) ON [PRIMARY] GO -- Insert 1 Million Rows INSERT INTO [dbo].[StatsTest] (FirstName,LastName,City) SELECT TOP 1000000 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Update the statistics UPDATE STATISTICS [dbo].[StatsTest] GO -- Shows the statistics DBCC SHOW_STATISTICS ("StatsTest"PK_StatsTest) GO -- Clean up DROP TABLE [dbo].[StatsTest] GO Now let us observe the result of the DBCC SHOW_STATISTICS. The result shows that Resultset is for sure sampling for a large dataset. The percentage of sampling is based on data distribution as well as the kind of data in the table. Before dropping the table, let us check first the size of the table. The size of the table is 35 MB. Now, let us run the above code with lesser number of the rows. USE [AdventureWorks] GO -- Create Table CREATE TABLE [dbo].[StatsTest]( [ID] [int] IDENTITY(1,1) NOT NULL, [FirstName] [varchar](100) NULL, [LastName] [varchar](100) NULL, [City] [varchar](100) NULL, CONSTRAINT [PK_StatsTest] PRIMARY KEY CLUSTERED ([ID] ASC) ) ON [PRIMARY] GO -- Insert 1 Hundred Thousand Rows INSERT INTO [dbo].[StatsTest] (FirstName,LastName,City) SELECT TOP 100000 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Update the statistics UPDATE STATISTICS [dbo].[StatsTest] GO -- Shows the statistics DBCC SHOW_STATISTICS ("StatsTest"PK_StatsTest) GO -- Clean up DROP TABLE [dbo].[StatsTest] GO You can see that Rows Sampled is just the same as Rows of the table. In this case, the sample rate is 100%. Before dropping the table, let us also check the size of the table. The size of the table is less than 4 MB. Let us compare the Result set just for a valid reference. Test 1: Total Rows: 1000000, Rows Sampled: 255420, Size of the Table: 35.516 MB Test 2: Total Rows: 100000, Rows Sampled: 100000, Size of the Table: 3.555 MB The reason behind the sample in the Test1 is that the data space is larger than 8 MB, and therefore it uses more than 1024 data pages. If the data space is smaller than 8 MB and uses less than 1024 data pages, then the sampling does not happen. Sampling aids in reducing excessive data scan; however, sometimes it reduces the accuracy of the data as well. Please note that this is just a sample test and there is no way it can be claimed as a benchmark test. The result can be dissimilar on different machines. There are lots of other information can be included when talking about this subject. I will write detail post covering all the subject very soon. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Statistics

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• SQL SERVER – SOS_SCHEDULER_YIELD – Wait Type – Day 8 of 28

  - by pinaldave

  This is a very interesting wait type and quite often seen as one of the top wait types. Let us discuss this today. From Book On-Line: Occurs when a task voluntarily yields the scheduler for other tasks to execute. During this wait the task is waiting for its quantum to be renewed. SOS_SCHEDULER_YIELD Explanation: SQL Server has multiple threads, and the basic working methodology for SQL Server is that SQL Server does not let any “runnable” thread to starve. Now let us assume SQL Server OS is very busy running threads on all the scheduler. There are always new threads coming up which are ready to run (in other words, runnable). Thread management of the SQL Server is decided by SQL Server and not the operating system. SQL Server runs on non-preemptive mode most of the time, meaning the threads are co-operative and can let other threads to run from time to time by yielding itself. When any thread yields itself for another thread, it creates this wait. If there are more threads, it clearly indicates that the CPU is under pressure. You can fun the following DMV to see how many runnable task counts there are in your system. SELECT scheduler_id, current_tasks_count, runnable_tasks_count, work_queue_count, pending_disk_io_count FROM sys.dm_os_schedulers WHERE scheduler_id < 255 GO If you notice a two-digit number in runnable_tasks_count continuously for long time (not once in a while), you will know that there is CPU pressure. The two-digit number is usually considered as a bad thing; you can read the description of the above DMV over here. Additionally, there are several other counters (%Processor Time and other processor related counters), through which you can refer to so you can validate CPU pressure along with the method explained above. Reducing SOS_SCHEDULER_YIELD wait: This is the trickiest part of this procedure. As discussed, this particular wait type relates to CPU pressure. Increasing more CPU is the solution in simple terms; however, it is not easy to implement this solution. There are other things that you can consider when this wait type is very high. Here is the query where you can find the most expensive query related to CPU from the cache Note: The query that used lots of resources but is not cached will not be caught here. SELECT SUBSTRING(qt.TEXT, (qs.statement_start_offset/2)+1, ((CASE qs.statement_end_offset WHEN -1 THEN DATALENGTH(qt.TEXT) ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)+1), qs.execution_count, qs.total_logical_reads, qs.last_logical_reads, qs.total_logical_writes, qs.last_logical_writes, qs.total_worker_time, qs.last_worker_time, qs.total_elapsed_time/1000000 total_elapsed_time_in_S, qs.last_elapsed_time/1000000 last_elapsed_time_in_S, qs.last_execution_time, qp.query_plan FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) qt CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp ORDER BY qs.total_worker_time DESC -- CPU time You can find the most expensive queries that are utilizing lots of CPU (from the cache) and you can tune them accordingly. Moreover, you can find the longest running query and attempt to tune them if there is any processor offending code. Additionally, pay attention to total_worker_time because if that is also consistently higher, then  the CPU under too much pressure. You can also check perfmon counters of compilations as they tend to use good amount of CPU. Index rebuild is also a CPU intensive process but we should consider that main cause for this query because that is indeed needed on high transactions OLTP system utilized to reduce fragmentations. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All of the discussions of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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• SQL SERVER – Puzzle – Statistics are not Updated but are Created Once

  - by pinaldave

  After having excellent response to my quiz – Why SELECT * throws an error but SELECT COUNT(*) does not?I have decided to ask another puzzling question to all of you. I am running this test on SQL Server 2008 R2. Here is the quick scenario about my setup. Create Table Insert 1000 Records Check the Statistics Now insert 10 times more 10,000 indexes Check the Statistics – it will be NOT updated Note: Auto Update Statistics and Auto Create Statistics for database is TRUE Expected Result – Statistics should be updated – SQL SERVER – When are Statistics Updated – What triggers Statistics to Update Now the question is why the statistics are not updated? The common answer is – we can update the statistics ourselves using UPDATE STATISTICS TableName WITH FULLSCAN, ALL However, the solution I am looking is where statistics should be updated automatically based on algorithm mentioned here. Now the solution is to ____________________. Vinod Kumar is not allowed to take participate over here as he is the one who has helped me to build this puzzle. I will publish the solution on next week. Please leave a comment and if your comment consist valid answer, I will publish with due credit. Here is the script to reproduce the scenario which I mentioned. -- Execution Plans Difference -- Create Sample Database CREATE DATABASE SampleDB GO USE SampleDB GO -- Create Table CREATE TABLE ExecTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Insert One Thousand Records -- INSERT 1 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 1000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Display statistics of the table - none listed sp_helpstats N'ExecTable', 'ALL' GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here -- NOTE: Replace your _WA_Sys with stats from above query DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7); GO -------------------------------------------------------------- -- Round 2 -- Insert Ten Thousand Records -- INSERT 2 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 10000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here -- NOTE: Replace your _WA_Sys with stats from above query DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7); GO -- You will notice that Statistics are still updated with 1000 rows -- Clean up Database DROP TABLE ExecTable GO USE MASTER GO ALTER DATABASE SampleDB SET SINGLE_USER WITH ROLLBACK IMMEDIATE; GO DROP DATABASE SampleDB GO Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Statistics, Statistics

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• RPi and Java Embedded GPIO: Writing Java code to blink LED

  - by hinkmond

  So, you've followed the previous steps to install Java Embedded on your Raspberry Pi ?, you went to Fry's and picked up some jumper wires, LEDs, and resistors ?, you hooked up the wires, LED, and resistor the the correct pins ?, and now you want to start programming in Java on your RPi? Yes? ???????! OK, then... Here we go. You can use the following source code to blink your first LED on your RPi using Java. In the code you can see that I'm not using any complicated gpio libraries like wiringpi or pi4j, and I'm not doing any low-level pin manipulation like you can in C. And, I'm not using python (hell no!). This is Java programming, so we keep it simple (and more readable) than those other programming languages. See: Write Java code to do this In the Java code, I'm opening up the RPi Debian Wheezy well-defined file handles to control the GPIO ports. First I'm resetting everything using the unexport/export file handles. (On the RPi, if you open the well-defined file handles and write certain ASCII text to them, you can drive your GPIO to perform certain operations. See this GPIO reference). Next, I write a "1" then "0" to the value file handle of the GPIO0 port (see the previous pinout diagram). That makes the LED blink. Then, I loop to infinity. Easy, huh? import java.io.* /* * Java Embedded Raspberry Pi GPIO app */ package jerpigpio; import java.io.FileWriter; /** * * @author hinkmond */ public class JerpiGPIO { static final String GPIO_OUT = "out"; static final String GPIO_ON = "1"; static final String GPIO_OFF = "0"; static final String GPIO_CH00="0"; /** * @param args the command line arguments */ public static void main(String[] args) { FileWriter commandFile; try { /*** Init GPIO port for output ***/ // Open file handles to GPIO port unexport and export controls FileWriter unexportFile = new FileWriter("/sys/class/gpio/unexport"); FileWriter exportFile = new FileWriter("/sys/class/gpio/export"); // Reset the port unexportFile.write(GPIO_CH00); unexportFile.flush(); // Set the port for use exportFile.write(GPIO_CH00); exportFile.flush(); // Open file handle to port input/output control FileWriter directionFile = new FileWriter("/sys/class/gpio/gpio"+GPIO_CH00+"/direction"); // Set port for output directionFile.write(GPIO_OUT); directionFile.flush(); /*--- Send commands to GPIO port ---*/ // Opne file handle to issue commands to GPIO port commandFile = new FileWriter("/sys/class/gpio/gpio"+GPIO_CH00+"/value"); // Loop forever while (true) { // Set GPIO port ON commandFile.write(GPIO_ON); commandFile.flush(); // Wait for a while java.lang.Thread.sleep(200); // Set GPIO port OFF commandFile.write(GPIO_OFF); commandFile.flush(); // Wait for a while java.lang.Thread.sleep(200); } } catch (Exception exception) { exception.printStackTrace(); } } } Hinkmond

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• Lenovo X220 right click does not work with ubuntu 12.04

  - by fulop

  I am unable to right click with my new X220 Lenovo sub-notebook. I have read several workaround but even not know which one would help me. Can someone help me to find the solution or workaround? dpkg-buildpackage: export CFLAGS from dpkg-buildflags (origin: vendor): -g -O2 -fstack-protector --param=ssp-buffer-size=4 -Wformat -Wformat-security dpkg-buildpackage: export CPPFLAGS from dpkg-buildflags (origin: vendor): -D_FORTIFY_SOURCE=2 dpkg-buildpackage: export CXXFLAGS from dpkg-buildflags (origin: vendor): -g -O2 -fstack-protector --param=ssp-buffer-size=4 -Wformat -Wformat-security dpkg-buildpackage: export FFLAGS from dpkg-buildflags (origin: vendor): -g -O2 dpkg-buildpackage: export LDFLAGS from dpkg-buildflags (origin: vendor): -Wl,-Bsymbolic-functions -Wl,-z,relro dpkg-buildpackage: source package xserver-xorg-input-synaptics dpkg-buildpackage: source version 1.6.2-1ubuntu1~precise2 dpkg-buildpackage: source changed by Timo Aaltonen <[email protected]> dpkg-buildpackage: host architecture amd64 dpkg-source --before-build xserver-xorg-input-synaptics-1.6.2 fakeroot debian/rules clean dh clean --with quilt,autoreconf,xsf --builddirectory=build/ dh_testdir -O--builddirectory=build/ dh_auto_clean -O--builddirectory=build/ dh_quilt_unpatch -O--builddirectory=build/ Removing patch 131_reset-num_active_touches-on-deviceoff.patch Restoring src/synaptics.c Removing patch 130_dont_enable_rightbutton_area.patch Restoring conf/50-synaptics.conf Removing patch 129_disable_three_touch_tap.patch Restoring src/synaptics.c Removing patch 128_disable_three_click_action.patch Restoring src/synaptics.c Removing patch 126_ubuntu_xi22.patch Restoring configure.ac Removing patch 125_option_rec_revert.patch Restoring test/fake-symbols.h Restoring test/fake-symbols.c Removing patch 124_syndaemon_events.patch Restoring tools/syndaemon.c Removing patch 118_quell_error_msg.patch Restoring tools/synclient.c Restoring tools/syndaemon.c Removing patch 115_evdev_only.patch Restoring conf/50-synaptics.conf Removing patch 106_always_enable_vert_edge_scroll.patch Restoring src/synaptics.c Removing patch 104_always_enable_tapping.patch Restoring src/synaptics.c Removing patch 103_enable_cornertapping.patch Restoring src/synaptics.c Removing patch 101_resolution_detect_option.patch Restoring include/synaptics-properties.h Restoring man/synaptics.man Restoring src/synapticsstr.h Restoring src/properties.c Restoring src/synaptics.c Restoring tools/synclient.c Removing patch 02-do-not-use-synaptics-for-keyboards.patch Restoring conf/11-x11-synaptics.fdi No patches applied dh_autoreconf_clean -O--builddirectory=build/ dh_clean -O--builddirectory=build/ dpkg-source -b xserver-xorg-input-synaptics-1.6.2 dpkg-source: warning: no source format specified in debian/source/format, see dpkg-source(1) dpkg-source: info: using source format `1.0' dpkg-source: info: building xserver-xorg-input-synaptics using existing xserver-xorg-input-synaptics_1.6.2.orig.tar.gz dpkg-source: info: building xserver-xorg-input-synaptics in xserver-xorg-input-synaptics_1.6.2-1ubuntu1~precise2.diff.gz dpkg-source: warning: the diff modifies the following upstream files: autogen.sh docs/README.alps docs/tapndrag.dia docs/trouble-shooting.txt dpkg-source: info: use the '3.0 (quilt)' format to have separate and documented changes to upstream files, see dpkg-source(1) dpkg-source: info: building xserver-xorg-input-synaptics in xserver-xorg-input-synaptics_1.6.2-1ubuntu1~precise2.dsc debian/rules build dh build --with quilt,autoreconf,xsf --builddirectory=build/ dh_testdir -O--builddirectory=build/ dh_quilt_patch -O--builddirectory=build/ Applying patch 02-do-not-use-synaptics-for-keyboards.patch patching file conf/11-x11-synaptics.fdi Hunk #1 succeeded at 9 (offset 7 lines). Applying patch 101_resolution_detect_option.patch patching file include/synaptics-properties.h patching file man/synaptics.man patching file src/properties.c Hunk #3 succeeded at 787 (offset 6 lines). patching file src/synaptics.c Hunk #2 succeeded at 1403 (offset 3 lines). Hunk #3 succeeded at 1421 (offset 3 lines). patching file src/synapticsstr.h patching file tools/synclient.c Applying patch 103_enable_cornertapping.patch patching file src/synaptics.c Hunk #1 succeeded at 762 with fuzz 1 (offset 202 lines). Applying patch 104_always_enable_tapping.patch patching file src/synaptics.c Hunk #1 succeeded at 662 with fuzz 2 (offset 6 lines). Applying patch 106_always_enable_vert_edge_scroll.patch patching file src/synaptics.c Hunk #1 succeeded at 673 (offset 174 lines). Applying patch 115_evdev_only.patch patching file conf/50-synaptics.conf Hunk #1 succeeded at 14 with fuzz 2. Applying patch 118_quell_error_msg.patch patching file tools/synclient.c patching file tools/syndaemon.c Applying patch 124_syndaemon_events.patch patching file tools/syndaemon.c Applying patch 125_option_rec_revert.patch patching file test/fake-symbols.c patching file test/fake-symbols.h Applying patch 126_ubuntu_xi22.patch patching file configure.ac Applying patch 128_disable_three_click_action.patch patching file src/synaptics.c Hunk #1 succeeded at 671 (offset 174 lines). Applying patch 129_disable_three_touch_tap.patch patching file src/synaptics.c Hunk #1 succeeded at 665 (offset 32 lines). Applying patch 130_dont_enable_rightbutton_area.patch patching file conf/50-synaptics.conf Applying patch 131_reset-num_active_touches-on-deviceoff.patch patching file src/synaptics.c Applying patch 201-wait.patch patching file src/eventcomm.c Hunk #1 FAILED at 750. Hunk #2 FAILED at 775. Hunk #3 FAILED at 784. 3 out of 3 hunks FAILED -- rejects in file src/eventcomm.c Patch 201-wait.patch does not apply (enforce with -f) dh_quilt_patch: quilt --quiltrc /dev/null push -a || test $? = 2 returned exit code 1 make: *** [build] Error 25 dpkg-buildpackage: error: debian/rules build gave error exit status 2

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• How to install chrome autosave extension?

  - by Oguz Can Sertel

  I would like to install chrome autosave plugin on ubuntu. when I try to install it with these steps https://github.com/NV/chrome-devtools-autosave-server , I got some errors... there was not installed node and npm out of box on ubuntu 12.10. So I installed npm and node with these commands. sudo apt-get install npm sudo apt-get install node and I tried to install autosave here is the output: sudo npm install -g autosave npm http GET https://registry.npmjs.org/autosave npm http 304 https://registry.npmjs.org/autosave npm http GET https://registry.npmjs.org/commander npm http 304 https://registry.npmjs.org/commander /usr/local/bin/autosave -> /usr/local/lib/node_modules/autosave/bin/autosave > [email protected] install /usr/local/lib/node_modules/autosave > node ./scripts/install.js npm ERR! error installing [email protected] npm WARN This failure might be due to the use of legacy binary "node" npm WARN For further explanations, please read npm WARN /usr/share/doc/nodejs/README.Debian npm WARN npm ERR! [email protected] install: `node ./scripts/install.js` npm ERR! `sh "-c" "node ./scripts/install.js"` failed with 1 npm ERR! npm ERR! Failed at the [email protected] install script. npm ERR! This is most likely a problem with the autosave package, npm ERR! not with npm itself. npm ERR! Tell the author that this fails on your system: npm ERR! node ./scripts/install.js npm ERR! You can get their info via: npm ERR! npm owner ls autosave npm ERR! There is likely additional logging output above. npm ERR! npm ERR! System Linux 3.5.0-17-generic npm ERR! command "/usr/bin/nodejs" "/usr/bin/npm" "install" "-g" "autosave" npm ERR! cwd /home/naczu npm ERR! node -v v0.6.19 npm ERR! npm -v 1.1.4 npm ERR! code ELIFECYCLE npm ERR! message [email protected] install: `node ./scripts/install.js` npm ERR! message `sh "-c" "node ./scripts/install.js"` failed with 1 npm ERR! errno {} npm ERR! npm ERR! Additional logging details can be found in: npm ERR! /home/naczu/npm-debug.log npm not ok and here is README.debian nodejs for Debian ================= packaged modules ---------------- The global search path for modules is /usr/lib/nodejs Future packages of node modules will use that directory, so it should be used wisely. user modules ------------ Node looks for modules in ./node_modules directory first; please read node#modules documentation carefully for more information. Node does not look for modules in /usr/local/lib/node_modules, where npm put them. Please read npm-link(1) of npm package, to understand how to properly use npm-installed modules in a project. Note that require.paths is not supported in future node versions. See also node(1) for more information about NODE_PATH. nodejs command -------------- The upstream name for the Node.js interpreter command is "node". In Debian the interpreter command has been changed to "nodejs". This was done to prevent a namespace collision: other commands use the same name in their upstreams, such as ax25-node from the "node" package. Scripts calling Node.js as a shell command must be changed to instead use the "nodejs" command.

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• android Emulator always stop at "waiting for Home..."

  - by wuwupp

  hi,there, I freshed install Eclipse, jdk, android sdk 1.5 in winxp. but when I run the "hello world" app, the emulator always stop at "andorid" loading message. In eclipse console, it shows "waiting for HOME..." and in DDMS LogCat, it shows following msg: there are some error and warning. So, what's wrong with my case? I have googled lots of results, but no one can help me. Please help me. Many thx 06-13 00:07:54.323: INFO/DEBUG(551): debuggerd: Jun 30 2009 17:00:51 06-13 00:07:54.383: INFO/vold(550): Android Volume Daemon version 2.0 06-13 00:07:54.724: ERROR/flash_image(556): can't find recovery partition 06-13 00:07:55.223: DEBUG/qemud(558): entering main loop 06-13 00:07:55.323: DEBUG/qemud(558): multiplexer_handle_control: unknown control message (18 bytes): 'ko:unknown command' 06-13 00:07:55.493: INFO/vold(550): New MMC card 'SU02G' (serial 1012966) added @ /devices/platform/goldfish_mmc.0/mmc_host/mmc0/mmc0:e118 06-13 00:07:55.773: INFO/vold(550): Disk (blkdev 179:0), 262144 secs (128 MB) 0 partitions 06-13 00:07:55.773: INFO/vold(550): New blkdev 179.0 on media SU02G, media path /devices/platform/goldfish_mmc.0/mmc_host/mmc0/mmc0:e118, Dpp 0 06-13 00:07:55.814: INFO/vold(550): Evaluating dev '/devices/platform/goldfish_mmc.0/mmc_host/mmc0/mmc0:e118/block/mmcblk0' for mountable filesystems for '/sdcard' 06-13 00:07:56.014: ERROR/vold(550): Error opening switch name path '/sys/class/switch/test2' (No such file or directory) 06-13 00:07:56.014: ERROR/vold(550): Error bootstrapping switch '/sys/class/switch/test2' (m) 06-13 00:07:56.073: ERROR/vold(550): Error opening switch name path '/sys/class/switch/test' (No such file or directory) 06-13 00:07:56.073: ERROR/vold(550): Error bootstrapping switch '/sys/class/switch/test' (m) 06-13 00:07:56.073: DEBUG/vold(550): Bootstrapping complete 06-13 00:07:56.743: INFO//system/bin/dosfsck(550): dosfsck 3.0.1 (23 Nov 2008) 06-13 00:07:56.753: INFO//system/bin/dosfsck(550): dosfsck 3.0.1, 23 Nov 2008, FAT32, LFN 06-13 00:07:56.783: INFO//system/bin/dosfsck(550): Checking we can access the last sector of the filesystem 06-13 00:07:56.893: INFO//system/bin/dosfsck(550): Boot sector contents: 06-13 00:07:56.924: INFO//system/bin/dosfsck(550): System ID "MSWIN4.1" 06-13 00:07:56.934: INFO//system/bin/dosfsck(550): Media byte 0xf8 (hard disk) 06-13 00:07:56.953: INFO//system/bin/dosfsck(550): 512 bytes per logical sector 06-13 00:07:56.974: INFO//system/bin/dosfsck(550): 512 bytes per cluster 06-13 00:07:57.005: INFO//system/bin/dosfsck(550): 32 reserved sectors 06-13 00:07:57.013: INFO//system/bin/dosfsck(550): First FAT starts at byte 16384 (sector 32) 06-13 00:07:57.013: INFO//system/bin/dosfsck(550): 2 FATs, 32 bit entries 06-13 00:07:57.023: INFO//system/bin/dosfsck(550): 1040384 bytes per FAT (= 2032 sectors) 06-13 00:07:57.043: INFO//system/bin/dosfsck(550): Root directory start at cluster 2 (arbitrary size) 06-13 00:07:57.043: INFO//system/bin/dosfsck(550): Data area starts at byte 2097152 (sector 4096) 06-13 00:07:57.043: INFO//system/bin/dosfsck(550): 258048 data clusters (132120576 bytes) 06-13 00:07:57.103: INFO//system/bin/dosfsck(550): 9 sectors/track, 2 heads 06-13 00:07:57.103: INFO//system/bin/dosfsck(550): 0 hidden sectors 06-13 00:07:57.123: INFO//system/bin/dosfsck(550): 262144 sectors total 06-13 00:07:57.313: DEBUG/qemud(558): fdhandler_accept_event: accepting on fd 10 06-13 00:07:57.313: DEBUG/qemud(558): created client 0xe078 listening on fd 8 06-13 00:07:57.313: DEBUG/qemud(558): fdhandler_event: disconnect on fd 8 06-13 00:07:57.623: DEBUG/qemud(558): fdhandler_accept_event: accepting on fd 10 06-13 00:07:57.623: DEBUG/qemud(558): created client 0xf028 listening on fd 8 06-13 00:07:57.643: DEBUG/qemud(558): client_fd_receive: attempting registration for service 'gsm' 06-13 00:07:57.763: DEBUG/qemud(558): client_fd_receive: - received channel id 1 06-13 00:08:12.553: INFO//system/bin/dosfsck(550): Checking for unused clusters. 06-13 00:08:13.483: INFO//system/bin/dosfsck(550): Checking free cluster summary. 06-13 00:08:13.643: DEBUG/AndroidRuntime(553): AndroidRuntime START <<<<<<<<<<<<<< 06-13 00:08:13.705: DEBUG/AndroidRuntime(553): CheckJNI is ON 06-13 00:08:13.793: INFO//system/bin/dosfsck(550): /dev/block//vold/179:0: 0 files, 1/258048 clusters 06-13 00:08:14.063: INFO/logwrapper(550): /system/bin/dosfsck terminated by exit(0) 06-13 00:08:14.143: DEBUG/vold(550): Filesystem check completed OK 06-13 00:08:14.683: INFO/vold(550): Sucessfully mounted vfat filesystem 179:0 on /sdcard (safe-mode on) 06-13 00:08:17.023: INFO/(554): ServiceManager: 0xac38 06-13 00:08:17.883: INFO/AudioFlinger(554): AudioFlinger's thread ready to run for output 0 06-13 00:08:18.163: INFO/CameraService(554): CameraService started: pid=554 06-13 00:08:21.824: DEBUG/AndroidRuntime(553): --- registering native functions --- 06-13 00:08:27.813: INFO/Zygote(553): Preloading classes... 06-13 00:08:27.994: DEBUG/dalvikvm(553): GC freed 764 objects / 42216 bytes in 88ms 06-13 00:08:30.234: DEBUG/dalvikvm(553): GC freed 278 objects / 17160 bytes in 48ms 06-13 00:08:33.094: DEBUG/dalvikvm(553): GC freed 208 objects / 12696 bytes in 44ms 06-13 00:08:34.343: DEBUG/dalvikvm(553): Trying to load lib /system/lib/libmedia_jni.so 0x0 06-13 00:08:35.803: DEBUG/dalvikvm(553): Added shared lib /system/lib/libmedia_jni.so 0x0 06-13 00:08:35.903: DEBUG/dalvikvm(553): Trying to load lib /system/lib/libmedia_jni.so 0x0 06-13 00:08:35.903: DEBUG/dalvikvm(553): Shared lib '/system/lib/libmedia_jni.so' already loaded in same CL 0x0 06-13 00:08:36.003: DEBUG/dalvikvm(553): Trying to load lib /system/lib/libmedia_jni.so 0x0 06-13 00:08:36.003: DEBUG/dalvikvm(553): Shared lib '/system/lib/libmedia_jni.so' already loaded in same CL 0x0 06-13 00:08:36.215: DEBUG/dalvikvm(553): Trying to load lib /system/lib/libmedia_jni.so 0x0 06-13 00:08:36.244: DEBUG/dalvikvm(553): Shared lib '/system/lib/libmedia_jni.so' already loaded in same CL 0x0 06-13 00:08:36.455: DEBUG/dalvikvm(553): GC freed 462 objects / 29144 bytes in 70ms 06-13 00:08:44.123: DEBUG/dalvikvm(553): GC freed 3584 objects / 171648 bytes in 125ms 06-13 00:09:10.473: DEBUG/dalvikvm(553): GC freed 11329 objects / 400856 bytes in 196ms 06-13 00:09:17.373: DEBUG/dalvikvm(553): GC freed 10472 objects / 438272 bytes in 199ms 06-13 00:09:24.563: DEBUG/dalvikvm(553): GC freed 10975 objects / 459800 bytes in 202ms 06-13 00:09:46.403: DEBUG/dalvikvm(553): GC freed 14372 objects / 506896 bytes in 252ms 06-13 00:09:53.793: DEBUG/dalvikvm(553): GC freed 11314 objects / 481360 bytes in 215ms 06-13 00:09:57.743: DEBUG/dalvikvm(553): GC freed 5928 objects / 248640 bytes in 195ms 06-13 00:10:01.324: DEBUG/dalvikvm(553): GC freed 349 objects / 37032 bytes in 190ms 06-13 00:10:05.253: DEBUG/dalvikvm(553): GC freed 778 objects / 48376 bytes in 217ms 06-13 00:10:06.564: DEBUG/dalvikvm(553): GC freed 321 objects / 37288 bytes in 219ms 06-13 00:10:08.194: DEBUG/dalvikvm(553): GC freed 477 objects / 29584 bytes in 212ms 06-13 00:10:08.663: DEBUG/dalvikvm(553): Trying to load lib /system/lib/libwebcore.so 0x0 06-13 00:10:09.743: DEBUG/dalvikvm(553): Added shared lib /system/lib/libwebcore.so 0x0 06-13 00:10:11.634: DEBUG/dalvikvm(553): GC freed 441 objects / 26224 bytes in 236ms 06-13 00:10:12.893: DEBUG/dalvikvm(553): GC freed 506 objects / 41464 bytes in 235ms 06-13 00:10:14.153: DEBUG/dalvikvm(553): GC freed 537 objects / 38832 bytes in 239ms 06-13 00:10:15.883: DEBUG/dalvikvm(553): GC freed 342 objects / 22552 bytes in 248ms 06-13 00:10:17.124: DEBUG/dalvikvm(553): GC freed 338 objects / 18736 bytes in 264ms 06-13 00:10:18.523: DEBUG/dalvikvm(553): GC freed 629 objects / 32136 bytes in 260ms 06-13 00:10:38.933: DEBUG/dalvikvm(553): GC freed 14257 objects / 497280 bytes in 368ms 06-13 00:10:46.453: DEBUG/dalvikvm(553): GC freed 11164 objects / 469576 bytes in 360ms 06-13 00:10:52.973: DEBUG/dalvikvm(553): GC freed 7134 objects / 311432 bytes in 339ms 06-13 00:10:55.595: DEBUG/dalvikvm(553): GC freed 752 objects / 43224 bytes in 520ms 06-13 00:10:56.863: DEBUG/dalvikvm(553): GC freed 598 objects / 31496 bytes in 307ms 06-13 00:10:58.543: DEBUG/dalvikvm(553): GC freed 413 objects / 26336 bytes in 355ms 06-13 00:10:59.263: INFO/Zygote(553): ...preloaded 1166 classes in 151403ms. 06-13 00:10:59.683: DEBUG/dalvikvm(553): GC freed 313 objects / 19952 bytes in 343ms 06-13 00:10:59.793: INFO/Zygote(553): Preloading resources... 06-13 00:11:00.683: DEBUG/dalvikvm(553): GC freed 54 objects / 11248 bytes in 340ms 06-13 00:11:05.723: DEBUG/dalvikvm(553): GC freed 337 objects / 15008 bytes in 317ms 06-13 00:11:08.703: DEBUG/dalvikvm(553): GC freed 280 objects / 11768 bytes in 312ms 06-13 00:11:09.303: INFO/Zygote(553): ...preloaded 48 resources in 9513ms. 06-13 00:11:09.795: INFO/Zygote(553): ...preloaded 15 resources in 454ms. 06-13 00:11:10.303: DEBUG/dalvikvm(553): GC freed 118 objects / 8616 bytes in 420ms 06-13 00:11:10.913: DEBUG/dalvikvm(553): GC freed 205 objects / 8104 bytes in 308ms 06-13 00:11:11.344: DEBUG/dalvikvm(553): GC freed 36 objects / 1400 bytes in 320ms 06-13 00:11:11.543: INFO/dalvikvm(553): Splitting out new zygote heap 06-13 00:11:12.973: INFO/dalvikvm(553): System server process 585 has been created 06-13 00:11:13.336: INFO/Zygote(553): Accepting command socket connections 06-13 00:11:14.963: INFO/jdwp(585): received file descriptor 10 from ADB 06-13 00:11:16.843: WARN/System.err(585): Can't dispatch DDM chunk 46454154: no handler defined 06-13 00:11:16.953: WARN/System.err(585): Can't dispatch DDM chunk 4d505251: no handler defined 06-13 00:11:17.763: DEBUG/dalvikvm(585): Trying to load lib /system/lib/libandroid_servers.so 0x0 06-13 00:11:19.714: DEBUG/dalvikvm(585): Added shared lib /system/lib/libandroid_servers.so 0x0 06-13 00:11:20.123: INFO/sysproc(585): Entered system_init() 06-13 00:11:20.223: INFO/sysproc(585): ServiceManager: 0x1017b8 06-13 00:11:20.359: INFO/SurfaceFlinger(585): SurfaceFlinger is starting 06-13 00:11:20.493: INFO/SurfaceFlinger(585): SurfaceFlinger's main thread ready to run. Initializing graphics H/W... 06-13 00:11:20.634: ERROR/MemoryHeapBase(585): error opening /dev/pmem: No such file or directory 06-13 00:11:20.704: ERROR/SurfaceFlinger(585): Couldn't open /sys/power/wait_for_fb_sleep or /sys/power/wait_for_fb_wake 06-13 00:11:22.013: ERROR/GLLogger(585): couldn't load library (Cannot find library) 06-13 00:11:22.103: INFO/SurfaceFlinger(585): EGL informations: 06-13 00:11:22.113: INFO/SurfaceFlinger(585): # of configs : 6 06-13 00:11:22.123: INFO/SurfaceFlinger(585): vendor : Android 06-13 00:11:22.123: INFO/SurfaceFlinger(585): version : 1.31 Android META-EGL 06-13 00:11:22.134: INFO/SurfaceFlinger(585): extensions: 06-13 00:11:22.134: INFO/SurfaceFlinger(585): Client API: OpenGL ES 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): using (fd=22) 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): id = 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): xres = 320 px 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): yres = 480 px 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): xres_virtual = 320 px 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): yres_virtual = 960 px 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): bpp = 16 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): r = 11:5 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): g = 5:6 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): b = 0:5 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): width = 49 mm (165.877548 dpi) 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): height = 74 mm (164.756760 dpi) 06-13 00:11:22.193: INFO/EGLDisplaySurface(585): refresh rate = 60.00 Hz 06-13 00:11:22.533: WARN/HAL(585): load: module=/system/lib/hw/copybit.goldfish.so error=Cannot find library 06-13 00:11:22.543: WARN/HAL(585): load: module=/system/lib/hw/copybit.default.so error=Cannot find library 06-13 00:11:22.553: WARN/SurfaceFlinger(585): ro.sf.lcd_density not defined, using 160 dpi by default. 06-13 00:11:22.644: INFO/SurfaceFlinger(585): OpenGL informations: 06-13 00:11:22.654: INFO/SurfaceFlinger(585): vendor : Android 06-13 00:11:22.654: INFO/SurfaceFlinger(585): renderer : Android PixelFlinger 1.0 06-13 00:11:22.654: INFO/SurfaceFlinger(585): version : OpenGL ES-CM 1.0 06-13 00:11:22.654: INFO/SurfaceFlinger(585): extensions: GL_OES_byte_coordinates GL_OES_fixed_point GL_OES_single_precision GL_OES_read_format GL_OES_compressed_paletted_texture GL_OES_draw_texture GL_OES_matrix_get GL_OES_query_matrix GL_ARB_texture_compression GL_ARB_texture_non_power_of_two GL_ANDROID_direct_texture GL_ANDROID_user_clip_plane GL_ANDROID_vertex_buffer_object GL_ANDROID_generate_mipmap 06-13 00:11:22.673: WARN/HAL(585): load: module=/system/lib/hw/copybit.goldfish.so error=Cannot find library 06-13 00:11:22.683: WARN/HAL(585): load: module=/system/lib/hw/copybit.default.so error=Cannot find library 06-13 00:11:22.703: WARN/HAL(585): load: module=/system/lib/hw/overlay.goldfish.so error=Cannot find library 06-13 00:11:22.713: WARN/HAL(585): load: module=/system/lib/hw/overlay.default.so error=Cannot find library 06-13 00:11:23.663: INFO/sysproc(585): System server: starting Android runtime. 06-13 00:11:23.733: INFO/sysproc(585): System server: starting Android services. 06-13 00:11:23.953: INFO/SystemServer(585): Entered the Android system server! 06-13 00:11:24.303: INFO/sysproc(585): System server: entering thread pool. 06-13 00:11:24.763: ERROR/GLLogger(585): couldn't load library (Cannot find library) 06-13 00:11:25.893: INFO/ARMAssembler(585): generated scanline__00000077:03545404_00000A01_00000000 [ 30 ipp] (51 ins) at [0x18f708:0x18f7d4] in 72796961 ns 06-13 00:11:26.193: INFO/SystemServer(585): Starting Power Manager. 06-13 00:11:26.953: INFO/SystemServer(585): Starting Activity Manager. 06-13 00:11:31.733: INFO/SystemServer(585): Starting telephony registry 06-13 00:11:32.054: INFO/SystemServer(585): Starting Package Manager. 06-13 00:11:32.553: INFO/Installer(585): connecting... 06-13 00:11:32.914: INFO/installd(555): new connection 06-13 00:11:35.193: INFO/PackageManager(585): Got library android.awt in /system/framework/android.awt.jar 06-13 00:11:35.313: INFO/PackageManager(585): Got library android.test.runner in /system/framework/android.test.runner.jar 06-13 00:11:35.324: INFO/PackageManager(585): Got library com.android.im.plugin in /system/framework/com.android.im.plugin.jar 06-13 00:11:44.643: DEBUG/PackageManager(585): Scanning app dir /system/framework 06-13 00:11:49.513: DEBUG/PackageManager(585): Scanning app dir /system/app 06-13 00:11:51.493: DEBUG/dalvikvm(585): GC freed 6088 objects / 251280 bytes in 1237ms 06-13 00:12:27.497: DEBUG/dalvikvm(585): GC freed 3435 objects / 216088 bytes in 792ms 06-13 00:12:29.213: DEBUG/PackageManager(585): Scanning app dir /data/app 06-13 00:12:30.223: DEBUG/PackageManager(585): Scanning app dir /data/app-private 06-13 00:12:30.425: INFO/PackageManager(585): Time to scan packages: 47.319 seconds 06-13 00:12:30.703: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH in package com.android.providers.contacts 06-13 00:12:30.803: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH.cp in package com.android.providers.contacts 06-13 00:12:30.853: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH in package com.android.development 06-13 00:12:30.913: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH.ALL_SERVICES in package com.android.development 06-13 00:12:31.133: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH.YouTubeUser in package com.android.development 06-13 00:12:31.143: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.ACCESS_GOOGLE_PASSWORD in package com.android.development 06-13 00:12:31.234: WARN/PackageManager(585): Unknown permission com.google.android.providers.gmail.permission.WRITE_GMAIL in package com.android.settings 06-13 00:12:31.254: WARN/PackageManager(585): Unknown permission com.google.android.providers.gmail.permission.READ_GMAIL in package com.android.settings 06-13 00:12:31.303: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH in package com.android.settings 06-13 00:12:31.683: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH in package com.android.browser 06-13 00:12:31.803: WARN/PackageManager(585): Unknown permission com.google.android.googleapps.permission.GOOGLE_AUTH.mail in package com.android.contacts 06-13 00:12:34.603: DEBUG/dalvikvm(585): GC freed 2851 objects / 161304 bytes in 845ms 06-13 00:12:35.403: INFO/SystemServer(585): Starting Content Manager. 06-13 00:12:39.954: WARN/ActivityManager(585): Unable to start service Intent { action=android.accounts.IAccountsService comp={com.google.android.googleapps/com.google.android.googleapps.GoogleLoginService} }: not found 06-13 00:12:40.063: WARN/AccountMonitor(585): Couldn't connect to Intent { action=android.accounts.IAccountsService comp={com.google.android.googleapps/com.google.android.googleapps.GoogleLoginService} } (Missing service?) 06-13 00:12:40.253: INFO/SystemServer(585): Starting System Content Providers. 06-13 00:12:40.553: INFO/ActivityThread(585): Publishing provider settings: com.android.providers.settings.SettingsProvider 06-13 00:12:41.433: INFO/ActivityThread(585): Publishing provider sync: android.content.SyncProvider 06-13 00:12:41.683: INFO/SystemServer(585): Starting Battery Service. 06-13 00:12:42.293: ERROR/BatteryService(585): Could not open '/sys/class/power_supply/usb/online' 06-13 00:12:42.433: ERROR/BatteryService(585): Could not open '/sys/class/power_supply/battery/batt_vol' 06-13 00:12:42.543: ERROR/BatteryService(585): Could not open '/sys/class/power_supply/battery/batt_temp' 06-13 00:12:42.933: INFO/SystemServer(585): Starting Hardware Service. 06-13 00:12:43.398: DEBUG/qemud(558): fdhandler_accept_event: accepting on fd 10 06-13 00:12:43.623: DEBUG/qemud(558): created client 0x10fd8 listening on fd 11 06-13 00:12:43.743: DEBUG/qemud(558): client_fd_receive: attempting registration for service 'hw-control' 06-13 00:12:43.873: DEBUG/qemud(558): client_fd_receive: - received channel id 2 06-13 00:15:20.695: WARN/SurfaceFlinger(585): executeScheduledBroadcasts() skipped, contention on the client. We'll try again later...

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• Running two wsgi applications on the same server gdal org exception with apache2/modwsgi

  - by monkut

  I'm trying to run two wsgi applications, one django and the other tilestache using the same server. The tilestache server accesses the db via django to query the db. In the process of serving tiles it performs a transform on the incoming bbox, and in this process hit's the following error. The transform works without error for the specific bbox polygon when run manually from the python shell: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/TileStache/__init__.py", line 325, in __call__ mimetype, content = requestHandler(self.config, environ['PATH_INFO'], environ['QUERY_STRING']) File "/usr/lib/python2.7/dist-packages/TileStache/__init__.py", line 231, in requestHandler mimetype, content = getTile(layer, coord, extension) File "/usr/lib/python2.7/dist-packages/TileStache/__init__.py", line 84, in getTile tile = layer.render(coord, format) File "/usr/lib/python2.7/dist-packages/TileStache/Core.py", line 295, in render tile = provider.renderArea(width, height, srs, xmin, ymin, xmax, ymax, coord.zoom) File "/var/www/tileserver/providers.py", line 59, in renderArea bbox.transform(METERS_SRID) File "/usr/local/lib/python2.7/dist-packages/django/contrib/gis/geos/geometry.py", line 520, in transform g = gdal.OGRGeometry(self.wkb, srid) File "/usr/local/lib/python2.7/dist-packages/django/contrib/gis/gdal/geometries.py", line 131, in __init__ self.__class__ = GEO_CLASSES[self.geom_type.num] File "/usr/local/lib/python2.7/dist-packages/django/contrib/gis/gdal/geometries.py", line 245, in geom_type return OGRGeomType(capi.get_geom_type(self.ptr)) File "/usr/local/lib/python2.7/dist-packages/django/contrib/gis/gdal/geomtype.py", line 43, in __init__ raise OGRException('Invalid OGR Integer Type: %d' % type_input) OGRException: Invalid OGR Integer Type: 1987180391 I think I've hit the non thread safe issue with GDAL, metioned on the django site. Is there a way I could configure this so that it would work? Apache Version: Apache/2.2.22 (Ubuntu) mod_wsgi/3.3 Python/2.7.3 configured Apache apache2/sites-available/default: <VirtualHost *:80> ServerAdmin ironman@localhost DocumentRoot /var/www/bin LogLevel warn WSGIDaemonProcess lbs processes=2 maximum-requests=500 threads=1 WSGIProcessGroup lbs WSGIScriptAlias / /var/www/bin/apache/django.wsgi Alias /static /var/www/lbs/static/ </VirtualHost> <VirtualHost *:8080> ServerAdmin ironman@localhost DocumentRoot /var/www/bin LogLevel warn WSGIDaemonProcess tilestache processes=1 maximum-requests=500 threads=1 WSGIProcessGroup tilestache WSGIScriptAlias / /var/www/bin/tileserver/tilestache.wsgi </VirtualHost> Django Version: 1.4 httpd.conf: Listen 8080 NameVirtualHost *:8080 UPDATE I've added the a test.wsgi script to determine if the GLOBAL interpreter setting is correct, as mentioned by graham and described here: http://code.google.com/p/modwsgi/wiki/CheckingYourInstallation#Sub_Interpreter_Being_Used It seems to show the expected result: [Tue Aug 14 10:32:01 2012] [notice] Apache/2.2.22 (Ubuntu) mod_wsgi/3.3 Python/2.7.3 configured -- resuming normal operations [Tue Aug 14 10:32:01 2012] [info] mod_wsgi (pid=29891): Attach interpreter ''. I've worked around the issue for now by changing the srs used in the db so that the transform is unnecessary in tilestache app. I don't understand why the transform() method, when called in the django app works, but then in the tilestache app fails. tilestache.wsgi #!/usr/bin/python import os import time import sys import TileStache current_dir = os.path.abspath(os.path.dirname(__file__)) project_dir = os.path.realpath(os.path.join(current_dir, "..", "..")) sys.path.append(project_dir) sys.path.append(current_dir) os.environ['DJANGO_SETTINGS_MODULE'] = 'bin.settings' sys.stdout = sys.stderr # wait for the apache django lbs server to start up, # --> in order to retrieve the tilestache cfg time.sleep(2) tilestache_config_url = "http://127.0.0.1/tilestache/config/" application = TileStache.WSGITileServer(tilestache_config_url) UPDATE 2 So it turned out I did need to use a projection other than the google (900913) one in the db. So my previous workaround failed. While I'd like to fix this issue, I decided to work around the issue this type by making a django view that performs the transform needed. So now tilestache requests the data through the django app and not internally.

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• Python script is exiting with no output and I have no idea why

  - by Adam Tuttle

  I'm attempting to debug a Subversion post-commit hook that calls some python scripts. What I've been able to determine so far is that when I run post-commit.bat manually (I've created a wrapper for it to make it easier) everything succeeds, but when SVN runs it one particular step doesn't work. We're using CollabNet SVNServe, which I know from the documentation removes all environment variables. This had caused some problems earlier, but shouldn't be an issue now. Before Subversion calls a hook script, it removes all variables - including $PATH on Unix, and %PATH% on Windows - from the environment. Therefore, your script can only run another program if you spell out that program's absolute name. The relevant portion of post-commit.bat is: echo -------------------------- >> c:\svn-repos\company\hooks\svn2ftp.out.log set SITENAME=staging set SVNPATH=branches/staging/wwwroot/ "C:\Python3\python.exe" C:\svn-repos\company\hooks\svn2ftp.py ^ --svnUser="svnusername" ^ --svnPass="svnpassword" ^ --ftp-user=ftpuser ^ --ftp-password=ftppassword ^ --ftp-remote-dir=/ ^ --access-url=svn://10.0.100.6/company ^ --status-file="C:\svn-repos\company\hooks\svn2ftp-%SITENAME%.dat" ^ --project-directory=%SVNPATH% "staging.company.com" %1 %2 >> c:\svn-repos\company\hooks\svn2ftp.out.log echo -------------------------- >> c:\svn-repos\company\hooks\svn2ftp.out.log When I run post-commit.bat manually, for example: post-commit c:\svn-repos\company 12345, I see output like the following in svn2ftp.out.log: -------------------------- args1: c:\svn-repos\company args0: staging.company.com abspath: c:\svn-repos\company project_dir: branches/staging/wwwroot/ local_repos_path: c:\svn-repos\company getting youngest revision... done, up-to-date -------------------------- However, when I commit something to the repo and it runs automatically, the output is: -------------------------- -------------------------- svn2ftp.py is a bit long, so I apologize but here goes. I'll have some notes/disclaimers about its contents below it. #!/usr/bin/env python """Usage: svn2ftp.py [OPTION...] FTP-HOST REPOS-PATH Upload to FTP-HOST changes committed to the Subversion repository at REPOS-PATH. Uses svn diff --summarize to only propagate the changed files Options: -?, --help Show this help message. -u, --ftp-user=USER The username for the FTP server. Default: 'anonymous' -p, --ftp-password=P The password for the FTP server. Default: '@' -P, --ftp-port=X Port number for the FTP server. Default: 21 -r, --ftp-remote-dir=DIR The remote directory that is expected to resemble the repository project directory -a, --access-url=URL This is the URL that should be used when trying to SVN export files so that they can be uploaded to the FTP server -s, --status-file=PATH Required. This script needs to store the last successful revision that was transferred to the server. PATH is the location of this file. -d, --project-directory=DIR If the project you are interested in sending to the FTP server is not under the root of the repository (/), set this parameter. Example: -d 'project1/trunk/' This should NOT start with a '/'. 2008.5.2 CKS Fixed possible Windows-related bug with tempfile, where the script didn't have permission to write to the tempfile. Replaced this with a open()-created file created in the CWD. 2008.5.13 CKS Added error logging. Added exception for file-not-found errors when deleting files. 2008.5.14 CKS Change file open to 'rb' mode, to prevent Python's universal newline support from stripping CR characters, causing later comparisons between FTP and SVN to report changes. """ try: import sys, os import logging logging.basicConfig( level=logging.DEBUG, format='%(asctime)s %(levelname)s %(message)s', filename='svn2ftp.debug.log', filemode='a' ) console = logging.StreamHandler() console.setLevel(logging.ERROR) logging.getLogger('').addHandler(console) import getopt, tempfile, smtplib, traceback, subprocess from io import StringIO import pysvn import ftplib import inspect except Exception as e: logging.error(e) #capture the location of the error frame = inspect.currentframe() stack_trace = traceback.format_stack(frame) logging.debug(stack_trace) print(stack_trace) #end capture sys.exit(1) #defaults host = "" user = "anonymous" password = "@" port = 21 repo_path = "" local_repos_path = "" status_file = "" project_directory = "" remote_base_directory = "" toAddrs = "[email protected]" youngest_revision = "" def email(toAddrs, message, subject, fromAddr='[email protected]'): headers = "From: %s\r\nTo: %s\r\nSubject: %s\r\n\r\n" % (fromAddr, toAddrs, subject) message = headers + message logging.info('sending email to %s...' % toAddrs) server = smtplib.SMTP('smtp.company.com') server.set_debuglevel(1) server.sendmail(fromAddr, toAddrs, message) server.quit() logging.info('email sent') def captureErrorMessage(e): sout = StringIO() traceback.print_exc(file=sout) errorMessage = '\n'+('*'*80)+('\n%s'%e)+('\n%s\n'%sout.getvalue())+('*'*80) return errorMessage def usage_and_exit(errmsg): """Print a usage message, plus an ERRMSG (if provided), then exit. If ERRMSG is provided, the usage message is printed to stderr and the script exits with a non-zero error code. Otherwise, the usage message goes to stdout, and the script exits with a zero errorcode.""" if errmsg is None: stream = sys.stdout else: stream = sys.stderr print(__doc__, file=stream) if errmsg: print("\nError: %s" % (errmsg), file=stream) sys.exit(2) sys.exit(0) def read_args(): global host global user global password global port global repo_path global local_repos_path global status_file global project_directory global remote_base_directory global youngest_revision try: opts, args = getopt.gnu_getopt(sys.argv[1:], "?u:p:P:r:a:s:d:SU:SP:", ["help", "ftp-user=", "ftp-password=", "ftp-port=", "ftp-remote-dir=", "access-url=", "status-file=", "project-directory=", "svnUser=", "svnPass=" ]) except getopt.GetoptError as msg: usage_and_exit(msg) for opt, arg in opts: if opt in ("-?", "--help"): usage_and_exit() elif opt in ("-u", "--ftp-user"): user = arg elif opt in ("-p", "--ftp-password"): password = arg elif opt in ("-SU", "--svnUser"): svnUser = arg elif opt in ("-SP", "--svnPass"): svnPass = arg elif opt in ("-P", "--ftp-port"): try: port = int(arg) except ValueError as msg: usage_and_exit("Invalid value '%s' for --ftp-port." % (arg)) if port < 1 or port > 65535: usage_and_exit("Value for --ftp-port must be a positive integer less than 65536.") elif opt in ("-r", "--ftp-remote-dir"): remote_base_directory = arg elif opt in ("-a", "--access-url"): repo_path = arg elif opt in ("-s", "--status-file"): status_file = os.path.abspath(arg) elif opt in ("-d", "--project-directory"): project_directory = arg if len(args) != 3: print(str(args)) usage_and_exit("host and/or local_repos_path not specified (" + len(args) + ")") host = args[0] print("args1: " + args[1]) print("args0: " + args[0]) print("abspath: " + os.path.abspath(args[1])) local_repos_path = os.path.abspath(args[1]) print('project_dir:',project_directory) youngest_revision = int(args[2]) if status_file == "" : usage_and_exit("No status file specified") def main(): global host global user global password global port global repo_path global local_repos_path global status_file global project_directory global remote_base_directory global youngest_revision read_args() #repository,fs_ptr #get youngest revision print("local_repos_path: " + local_repos_path) print('getting youngest revision...') #youngest_revision = fs.youngest_rev(fs_ptr) assert youngest_revision, "Unable to lookup youngest revision." last_sent_revision = get_last_revision() if youngest_revision == last_sent_revision: # no need to continue. we should be up to date. print('done, up-to-date') return if last_sent_revision or youngest_revision < 10: # Only compare revisions if the DAT file contains a valid # revision number. Otherwise we risk waiting forever while # we parse and uploading every revision in the repo in the case # where a repository is retroactively configured to sync with ftp. pysvn_client = pysvn.Client() pysvn_client.callback_get_login = get_login rev1 = pysvn.Revision(pysvn.opt_revision_kind.number, last_sent_revision) rev2 = pysvn.Revision(pysvn.opt_revision_kind.number, youngest_revision) summary = pysvn_client.diff_summarize(repo_path, rev1, repo_path, rev2, True, False) print('summary len:',len(summary)) if len(summary) > 0 : print('connecting to %s...' % host) ftp = FTPClient(host, user, password) print('connected to %s' % host) ftp.base_path = remote_base_directory print('set remote base directory to %s' % remote_base_directory) #iterate through all the differences between revisions for change in summary : #determine whether the path of the change is relevant to the path that is being sent, and modify the path as appropriate. print('change path:',change.path) ftp_relative_path = apply_basedir(change.path) print('ftp rel path:',ftp_relative_path) #only try to sync path if the path is in our project_directory if ftp_relative_path != "" : is_file = (change.node_kind == pysvn.node_kind.file) if str(change.summarize_kind) == "delete" : print("deleting: " + ftp_relative_path) try: ftp.delete_path("/" + ftp_relative_path, is_file) except ftplib.error_perm as e: if 'cannot find the' in str(e) or 'not found' in str(e): # Log, but otherwise ignore path-not-found errors # when deleting, since it's not a disaster if the file # we want to delete is already gone. logging.error(captureErrorMessage(e)) else: raise elif str(change.summarize_kind) == "added" or str(change.summarize_kind) == "modified" : local_file = "" if is_file : local_file = svn_export_temp(pysvn_client, repo_path, rev2, change.path) print("uploading file: " + ftp_relative_path) ftp.upload_path("/" + ftp_relative_path, is_file, local_file) if is_file : os.remove(local_file) elif str(change.summarize_kind) == "normal" : print("skipping 'normal' element: " + ftp_relative_path) else : raise str("Unknown change summarize kind: " + str(change.summarize_kind) + ", path: " + ftp_relative_path) ftp.close() #write back the last revision that was synced print("writing last revision: " + str(youngest_revision)) set_last_revision(youngest_revision) # todo: undo def get_login(a,b,c,d): #arguments don't matter, we're always going to return the same thing try: return True, "svnUsername", "svnPassword", True except Exception as e: logging.error(e) #capture the location of the error frame = inspect.currentframe() stack_trace = traceback.format_stack(frame) logging.debug(stack_trace) #end capture sys.exit(1) #functions for persisting the last successfully synced revision def get_last_revision(): if os.path.isfile(status_file) : f=open(status_file, 'r') line = f.readline() f.close() try: i = int(line) except ValueError: i = 0 else: i = 0 f = open(status_file, 'w') f.write(str(i)) f.close() return i def set_last_revision(rev) : f = open(status_file, 'w') f.write(str(rev)) f.close() #augmented ftp client class that can work off a base directory class FTPClient(ftplib.FTP) : def __init__(self, host, username, password) : self.base_path = "" self.current_path = "" ftplib.FTP.__init__(self, host, username, password) def cwd(self, path) : debug_path = path if self.current_path == "" : self.current_path = self.pwd() print("pwd: " + self.current_path) if not os.path.isabs(path) : debug_path = self.base_path + "<" + path path = os.path.join(self.current_path, path) elif self.base_path != "" : debug_path = self.base_path + ">" + path.lstrip("/") path = os.path.join(self.base_path, path.lstrip("/")) path = os.path.normpath(path) #by this point the path should be absolute. if path != self.current_path : print("change from " + self.current_path + " to " + debug_path) ftplib.FTP.cwd(self, path) self.current_path = path else : print("staying put : " + self.current_path) def cd_or_create(self, path) : assert os.path.isabs(path), "absolute path expected (" + path + ")" try: self.cwd(path) except ftplib.error_perm as e: for folder in path.split('/'): if folder == "" : self.cwd("/") continue try: self.cwd(folder) except: print("mkd: (" + path + "):" + folder) self.mkd(folder) self.cwd(folder) def upload_path(self, path, is_file, local_path) : if is_file: (path, filename) = os.path.split(path) self.cd_or_create(path) # Use read-binary to avoid universal newline support from stripping CR characters. f = open(local_path, 'rb') self.storbinary("STOR " + filename, f) f.close() else: self.cd_or_create(path) def delete_path(self, path, is_file) : (path, filename) = os.path.split(path) print("trying to delete: " + path + ", " + filename) self.cwd(path) try: if is_file : self.delete(filename) else: self.delete_path_recursive(filename) except ftplib.error_perm as e: if 'The system cannot find the' in str(e) or '550 File not found' in str(e): # Log, but otherwise ignore path-not-found errors # when deleting, since it's not a disaster if the file # we want to delete is already gone. logging.error(captureErrorMessage(e)) else: raise def delete_path_recursive(self, path): if path == "/" : raise "WARNING: trying to delete '/'!" for node in self.nlst(path) : if node == path : #it's a file. delete and return self.delete(path) return if node != "." and node != ".." : self.delete_path_recursive(os.path.join(path, node)) try: self.rmd(path) except ftplib.error_perm as msg : sys.stderr.write("Error deleting directory " + os.path.join(self.current_path, path) + " : " + str(msg)) # apply the project_directory setting def apply_basedir(path) : #remove any leading stuff (in this case, "trunk/") and decide whether file should be propagated if not path.startswith(project_directory) : return "" return path.replace(project_directory, "", 1) def svn_export_temp(pysvn_client, base_path, rev, path) : # Causes access denied error. Couldn't deduce Windows-perm issue. # It's possible Python isn't garbage-collecting the open file-handle in time for pysvn to re-open it. # Regardless, just generating a simple filename seems to work. #(fd, dest_path) = tempfile.mkstemp() dest_path = tmpName = '%s.tmp' % __file__ exportPath = os.path.join(base_path, path).replace('\\','/') print('exporting %s to %s' % (exportPath, dest_path)) pysvn_client.export( exportPath, dest_path, force=False, revision=rev, native_eol=None, ignore_externals=False, recurse=True, peg_revision=rev ) return dest_path if __name__ == "__main__": logging.info('svnftp.start') try: main() logging.info('svnftp.done') except Exception as e: # capture the location of the error for debug purposes frame = inspect.currentframe() stack_trace = traceback.format_stack(frame) logging.debug(stack_trace[:-1]) print(stack_trace) # end capture error_text = '\nFATAL EXCEPTION!!!\n'+captureErrorMessage(e) subject = "ALERT: SVN2FTP Error" message = """An Error occurred while trying to FTP an SVN commit. repo_path = %(repo_path)s\n local_repos_path = %(local_repos_path)s\n project_directory = %(project_directory)s\n remote_base_directory = %(remote_base_directory)s\n error_text = %(error_text)s """ % globals() email(toAddrs, message, subject) logging.error(e) Notes/Disclaimers: I have basically no python training so I'm learning as I go and spending lots of time reading docs to figure stuff out. The body of get_login is in a try block because I was getting strange errors saying there was an unhandled exception in callback_get_login. Never figured out why, but it seems fine now. Let sleeping dogs lie, right? The username and password for get_login are currently hard-coded (but correct) just to eliminate variables and try to change as little as possible at once. (I added the svnuser and svnpass arguments to the existing argument parsing.) So that's where I am. I can't figure out why on earth it's not printing anything into svn2ftp.out.log. If you're wondering, the output for one of these failed attempts in svn2ftp.debug.log is: 2012-09-06 15:18:12,496 INFO svnftp.start 2012-09-06 15:18:12,496 INFO svnftp.done And it's no different on a successful run. So there's nothing useful being logged. I'm lost. I've gone way down the rabbit hole on this one, and don't know where to go from here. Any ideas?

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• overriding new ubuntu installation

  - by tkoomzaaskz

  I've got a ubuntu 11.10 which has lost its support in May 2013, now I'd like to reintall up to the most up-to-date LTS, which is 12.04. My question is regarding my current partitions and doing backups. Is there a safe way to backup my data on some local partitions instead of copying files into DVDs/external drives (this is very uncormortable in my situation). Following are system commands shoing my disk: $ lsblk NAME MAJ:MIN RM SIZE RO MOUNTPOINT sda 8:0 0 232,9G 0 +-sda1 8:1 0 48,8G 0 +-sda2 8:2 0 63G 0 +-sda3 8:3 0 1K 0 +-sda4 8:4 0 53,7G 0 / +-sda5 8:5 0 18,6G 0 +-sda6 8:6 0 25,5G 0 +-sda7 8:7 0 23,3G 0 [SWAP] sr0 11:0 1 1024M 0 and $ sudo fdisk -l [sudo] password for xyz: Disk /dev/sda: 250.1 GB, 250059350016 bytes glowic: 255, sektorów/sciezke: 63, cylindrów: 30401, w sumie sektorów: 488397168 Jednostka = sektorów, czyli 1 * 512 = 512 bajtów Rozmiar sektora (logiczny/fizyczny) w bajtach: 512 / 512 Rozmiar we/wy (minimalny/optymalny) w bajtach: 512 / 512 Identyfikator dysku: 0xc3ffc3ff Device Boot Beginning End Blocks ID System /dev/sda1 * 2048 102402047 51200000 7 HPFS/NTFS/exFAT /dev/sda2 215044096 347080703 66018304 7 HPFS/NTFS/exFAT /dev/sda3 347082750 488392064 70654657+ 5 Extended /dev/sda4 102402048 215042047 56320000 83 Linux /dev/sda5 395905923 434975939 19535008+ 83 Linux /dev/sda6 434976003 488392064 26708031 83 Linux /dev/sda7 347082752 395905023 24411136 82 Linux swap / Solaris In the beginning I had Windows Vista pre-installed with the machine when it was bought (damn!) and I installed linux (the one I have now). The windows-program in master boot record has been overriden by grub and now I can boot with both Windows and Linux. This is list of mounted devices: $ mount /dev/sda4 on / type ext4 (rw,errors=remount-ro,commit=0) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) fusectl on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) udev on /dev type devtmpfs (rw,mode=0755) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755) none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880) none on /run/shm type tmpfs (rw,nosuid,nodev) binfmt_misc on /proc/sys/fs/binfmt_misc type binfmt_misc (rw,noexec,nosuid,nodev) gvfs-fuse-daemon on /home/tomasz/.gvfs type fuse.gvfs-fuse-daemon (rw,nosuid,nodev,user=tomasz) It's strange (I don't remember such thing) that my current linux uses only one partition (/dev/sda4). But, anyway, it seems like that. My final question is: am I able to use one of the existing linux partitions for a backup and install ubuntu 12.04 without removing neither windows nor ubuntu 11.04? I mean - will grub automatically accept both old windows vista and 2 linuxes (old 11.10 and "new" 12.04)? Is there any hidden operation done while installation that could harm my custom-backup-partition while installing? my fstab file: proc /proc proc nodev,noexec,nosuid 0 0 # / was on /dev/sda4 during installation UUID=d44e89f5-9da2-48eb-83b3-887652ec95d2 / ext4 errors=remount-ro 0 1 # swap was on /dev/sda7 during installation UUID=bbe50535-ba57-434a-9272-211d859f0e00 none swap sw 0 0 sda5 and sda6 are trash partitions created during unsuccessful linux installation (this was linux installation before my current installation), I didn't delete these partitions, but I have access to them (and I can use them as backup partitions). edit: second question is: why does lsblk show /dev/sda having 232,9G while fdisk shows that it has 250.1GB? Where does the difference come from?

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• Linux software RAID6: rebuild slow

  - by Ole Tange

  I am trying to find the bottleneck in the rebuilding of a software raid6. ## Pause rebuilding when measuring raw I/O performance # echo 1 > /proc/sys/dev/raid/speed_limit_min # echo 1 > /proc/sys/dev/raid/speed_limit_max ## Drop caches so that does not interfere with measuring # sync ; echo 3 | tee /proc/sys/vm/drop_caches >/dev/null # time parallel -j0 "dd if=/dev/{} bs=256k count=4000 | cat >/dev/null" ::: sdbd sdbc sdbf sdbm sdbl sdbk sdbe sdbj sdbh sdbg 4000+0 records in 4000+0 records out 1048576000 bytes (1.0 GB) copied, 7.30336 s, 144 MB/s [... similar for each disk ...] # time parallel -j0 "dd if=/dev/{} skip=15000000 bs=256k count=4000 | cat >/dev/null" ::: sdbd sdbc sdbf sdbm sdbl sdbk sdbe sdbj sdbh sdbg 4000+0 records in 4000+0 records out 1048576000 bytes (1.0 GB) copied, 12.7991 s, 81.9 MB/s [... similar for each disk ...] So we can read sequentially at 140 MB/s in the outer tracks and 82 MB/s in the inner tracks on all the drives simultaneously. Sequential write performance is similar. This would lead me to expect a rebuild speed of 82 MB/s or more. # echo 800000 > /proc/sys/dev/raid/speed_limit_min # echo 800000 > /proc/sys/dev/raid/speed_limit_max # cat /proc/mdstat md2 : active raid6 sdbd[10](S) sdbc[9] sdbf[0] sdbm[8] sdbl[7] sdbk[6] sdbe[11] sdbj[4] sdbi[3](F) sdbh[2] sdbg[1] 27349121408 blocks super 1.2 level 6, 128k chunk, algorithm 2 [9/8] [UUU_UUUUU] [=========>...........] recovery = 47.3% (1849905884/3907017344) finish=855.9min speed=40054K/sec But we only get 40 MB/s. And often this drops to 30 MB/s. # iostat -dkx 1 sdbc 0.00 8023.00 0.00 329.00 0.00 33408.00 203.09 0.70 2.12 1.06 34.80 sdbd 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdbe 13.00 0.00 8334.00 0.00 33388.00 0.00 8.01 0.65 0.08 0.06 47.20 sdbf 0.00 0.00 8348.00 0.00 33388.00 0.00 8.00 0.58 0.07 0.06 48.00 sdbg 16.00 0.00 8331.00 0.00 33388.00 0.00 8.02 0.71 0.09 0.06 48.80 sdbh 961.00 0.00 8314.00 0.00 37100.00 0.00 8.92 0.93 0.11 0.07 54.80 sdbj 70.00 0.00 8276.00 0.00 33384.00 0.00 8.07 0.78 0.10 0.06 48.40 sdbk 124.00 0.00 8221.00 0.00 33380.00 0.00 8.12 0.88 0.11 0.06 47.20 sdbl 83.00 0.00 8262.00 0.00 33380.00 0.00 8.08 0.96 0.12 0.06 47.60 sdbm 0.00 0.00 8344.00 0.00 33376.00 0.00 8.00 0.56 0.07 0.06 47.60 iostat says the disks are not 100% busy (but only 40-50%). This fits with the hypothesis that the max is around 80 MB/s. Since this is software raid the limiting factor could be CPU. top says: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 38520 root 20 0 0 0 0 R 64 0.0 2947:50 md2_raid6 6117 root 20 0 0 0 0 D 53 0.0 473:25.96 md2_resync So md2_raid6 and md2_resync are clearly busy taking up 64% and 53% of a CPU respectively, but not near 100%. The chunk size (128k) of the RAID was chosen after measuring which chunksize gave the least CPU penalty. If this speed is normal: What is the limiting factor? Can I measure that? If this speed is not normal: How can I find the limiting factor? Can I change that?

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• Wi-Fi Stick with ZD1211 chip refuses to work on Ubuntu >8.10. No clue.

  - by Benjamin Maus

  I have a machine running Ubuntu 9.10 (Karmic *x86_64*). Everything is running smooth so far, except for the Wi-Fi USB Stick. The same device worked perfectly in 8.10. The wireless device is a GW-US54GXS using the Zydas Zd1211 chipset. Dmesg output after plugging in: [ 196.303436] phy0: Selected rate control algorithm 'minstrel' [ 196.304209] zd1211rw 2-1:1.0: phy0 [ 196.304227] usbcore: registered new interface driver zd1211rw [ 196.334137] usb 2-1: firmware: requesting zd1211/zd1211b_ub [ 196.357463] usb 2-1: firmware: requesting zd1211/zd1211b_uphr [ 196.402643] zd1211rw 2-1:1.0: firmware version 4725 [ 196.442611] zd1211rw 2-1:1.0: zd1211b chip 2019:5303 v4810 high 00-90-cc AL2230_RF pa0 ---N- [ 196.463814] usb 2-1: firmware: requesting zd1211/zd1211b_ub [ 196.466823] usb 2-1: firmware: requesting zd1211/zd1211b_uphr Syslog output: Nov 5 11:20:24 somesystem kernel: [ 196.303436] phy0: Selected rate control algorithm 'minstrel' Nov 5 11:20:24 kierkegaard NetworkManager: <info> Found radio killswitch rfkill0 (at /sys/devices/pci0000:00/0000:00:1d.7/usb2/2-1/2-1:1.0/ieee80211/phy0/rfkill0) (driver <unknown>) Nov 5 11:20:24 somesystem kernel: [ 196.304209] zd1211rw 2-1:1.0: phy0 Nov 5 11:20:24 somesystem kernel: [ 196.304227] usbcore: registered new interface driver zd1211rw Nov 5 11:20:24 somesystem NetworkManager: SCPlugin-Ifupdown: devices added (path: /sys/devices/pci0000:00/0000:00:1d.7/usb2/2-1/2-1:1.0/net/wmaster0, iface: wmaster0) Nov 5 11:20:24 somesystem NetworkManager: SCPlugin-Ifupdown: device added (path: /sys/devices/pci0000:00/0000:00:1d.7/usb2/2-1/2-1:1.0/net/wmaster0, iface: wmaster0): no ifupdown configuration found. Nov 5 11:20:24 somesystem NetworkManager: SCPlugin-Ifupdown: devices added (path: /sys/devices/pci0000:00/0000:00:1d.7/usb2/2-1/2-1:1.0/net/wlan0, iface: wlan0) Nov 5 11:20:24 somesystem NetworkManager: SCPlugin-Ifupdown: device added (path: /sys/devices/pci0000:00/0000:00:1d.7/usb2/2-1/2-1:1.0/net/wlan0, iface: wlan0): no ifupdown configuration found. Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): driver supports SSID scans (scan_capa 0x01). Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): new 802.11 WiFi device (driver: 'zd1211rw') Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): exported as /org/freedesktop/NetworkManager/Devices/2 Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): now managed Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): device state change: 1 -> 2 (reason 2) Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): bringing up device. Nov 5 11:20:24 somesystem kernel: [ 196.334137] usb 2-1: firmware: requesting zd1211/zd1211b_ub Nov 5 11:20:24 somesystem kernel: [ 196.357463] usb 2-1: firmware: requesting zd1211/zd1211b_uphr Nov 5 11:20:24 somesystem kernel: [ 196.402643] zd1211rw 2-1:1.0: firmware version 4725 Nov 5 11:20:24 somesystem kernel: [ 196.442611] zd1211rw 2-1:1.0: zd1211b chip 2019:5303 v4810 high 00-90-cc AL2230_RF pa0 ---N- Nov 5 11:20:24 somesystem NetworkManager: <WARN> nm_device_hw_bring_up(): (wlan0): device not up after timeout! Nov 5 11:20:24 somesystem NetworkManager: <info> (wlan0): deactivating device (reason: 2). Nov 5 11:20:24 somesystem kernel: [ 196.463814] usb 2-1: firmware: requesting zd1211/zd1211b_ub Nov 5 11:20:24 somesystem kernel: [ 196.466823] usb 2-1: firmware: requesting zd1211/zd1211b_uphr Nov 5 11:20:29 somesystem wpa_supplicant[978]: Could not set interface 'wlan0' UP Nov 5 11:20:29 somesystem wpa_supplicant[978]: Failed to initialize driver interface Nov 5 11:20:29 somesystem NetworkManager: <WARN> nm_supplicant_interface_add_cb(): Unexpected supplicant error getting interface: wpa_supplicant couldn't grab this interface. Gnome tells me in the network menu that the device was "not ready". It appears in iwconfig but not in ifconfig. The same symptoms appear when I boot from the live CD. How can I solve this dilemma?

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• Ajax actionlinks straight from a DropDownList

  - by Ingó Vals

  I've got a small linkbox on the side of my page that is rendered as a PartialView. In it I have a dropDownlist the should change the routing value of the links in the box but I'm having difficulty doing so. My current plan is to call on something similar to a Ajax.ActionLink to reload the partial view into the with a different parameter based on the value of the dropdown selection. However I'm having multiple problems with this, for example as a novice in using dropdownlists I have no idea how to call on the selected value for example. <%= Html.DropDownList("DropDownList1", new SelectList(Model, "ID", "Name"), "--Pick--", new { AutoPostBack = "true", onchange = "maybe something here" })%> I tried putting in the sys.mvc.AsyncHyperlink into the onchange attribute and that worked except I don't know how to put in the route value for it. Sys.Mvc.AsyncHyperlink.handleClick(this, new Sys.UI.DomEvent(event), { insertionMode: Sys.Mvc.InsertionMode.replace, updateTargetId: 'SmallMenu' } Is there no straight Ajax drop down list that fires events onchange? Any way this is possible? I have later in the Partial view the Ajax actionlinks but they need to have their id's updated by the value in the dropdownlist and if I could do that somehow else I would appreciate a suggestion.

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• PyDev and Django: PyDev breaking Django shell?

  - by Rosarch

  I've set up a new project, and populated it with simple models. (Essentially I'm following the tut.) When I run python manage.py shell on the command line, it works fine: >python manage.py shell Python 2.6.4 (r264:75708, Oct 26 2009, 08:23:19) [MSC v.1500 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. (InteractiveConsole) >>> from mysite.myapp.models import School >>> School.objects.all() [] Works great. Then, I try to do the same thing in Eclipse (using a Django project that is composed of the same files.) Right click on mysite project Django Shell with Django environment This is the output from the PyDev Console: >>> import sys; print('%s %s' % (sys.executable or sys.platform, sys.version)) C:\Python26\python.exe 2.6.4 (r264:75708, Oct 26 2009, 08:23:19) [MSC v.1500 32 bit (Intel)] >>> >>> from django.core import management;import mysite.settings as settings;management.setup_environ(settings) 'path\\to\\mysite' >>> from mysite.myapp.models import School >>> School.objects.all() Traceback (most recent call last): File "<console>", line 1, in <module> File "C:\Python26\lib\site-packages\django\db\models\query.py", line 68, in __repr__ data = list(self[:REPR_OUTPUT_SIZE + 1]) File "C:\Python26\lib\site-packages\django\db\models\query.py", line 83, in __len__ self._result_cache.extend(list(self._iter)) File "C:\Python26\lib\site-packages\django\db\models\query.py", line 238, in iterator for row in self.query.results_iter(): File "C:\Python26\lib\site-packages\django\db\models\sql\query.py", line 287, in results_iter for rows in self.execute_sql(MULTI): File "C:\Python26\lib\site-packages\django\db\models\sql\query.py", line 2368, in execute_sql cursor = self.connection.cursor() File "C:\Python26\lib\site-packages\django\db\backends\__init__.py", line 81, in cursor cursor = self._cursor() File "C:\Python26\lib\site-packages\django\db\backends\sqlite3\base.py", line 170, in _cursor self.connection = Database.connect(**kwargs) OperationalError: unable to open database file What am I doing wrong here?

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• Telerik RadAlert back button cache problem

  - by Michael VS

  Hi, I'm sure you have had this one before so if you could point me to something similar.... I have a server side creation of a RadAlert window using the usual Sys.Application.remove_load and add_load procedure however the alert keeps popping up as it seems to be caching when the user hits the back button after it has been activated. I have tried to put a onclick event on a button to clear the function using remove_load before it moves to the next page however it still doesn't seem to clear it. Its used in validation so if a user inputs failed validation it pops up. If they then go and enter correct validation it then moves onto the next page. If they then use back button this is where it pops up again. Any ideas? Server side: private void Page_Load(object sender, System.EventArgs e) { if (!IsPostBack) { btnSearch.Attributes.Add("onclick", "Sys.Application.remove_load(f);"); } } private void btnSearch_Click(object sender, System.EventArgs e) { string radalertscript = "(function(){var f = function(){radalert('Welcome to RadWindow Prometheus!', 330, 210); Sys.Application.remove_load(f);};Sys.Application.add_load(f);})()"; RadAjaxManager1.ResponseScripts.Add(radalertscript); } Ive also tried using RadAjaxManager1.ResponseScripts.Clear(); before it moves on to the next page on the postback event

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• QWebView not loading external resources

  - by Nick

  Hi. I'm working on a kiosk web browser using Qt and PyQt4. QWebView seems to work quite well except for one quirk. If a URL fails to load for any reason, I want to redirect the user to a custom error page. I've done this using the loadFinished() signal to check the result, and change the URL to the custom page if necessary using QWebView.load(). However, any page I attempt to load here fails to pull in external resources like CSS or images. Using QWebView.load() to set the initial page at startup seems to work fine, and clicking any link on the custom error page will result in the destination page loading fine. It's just the error page that doesn't work. I'm really not sure where to go next. I've included the source for an app that will replicate the problem below. It takes a URL as a command line argument - a valid URL will display correctly, a bad URL (eg. DNS resolution fails) will redirect to Google, but with the logo missing. import sys from PyQt4 import QtGui, QtCore, QtWebKit class MyWebView(QtWebKit.QWebView): def __init__(self, parent=None): QtWebKit.QWebView.__init__(self, parent) self.resize(800, 600) self.load(QtCore.QUrl(sys.argv[1])) self.connect(self, QtCore.SIGNAL('loadFinished(bool)'), self.checkLoadResult) def checkLoadResult(self, result): if (result == False): self.load(QtCore.QUrl('http://google.com')) app = QtGui.QApplication(sys.argv) main = MyWebView() main.show() sys.exit(app.exec_()) If anyone could offer some advice it would be greatly appreciated.

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