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• Sporadic disk clicking sound

  - by Abdó

  Hi, I'm having some unusual and sporadic hard disk clicking issues. Here is a cronological description of the facts. I'm using an ASUS P6T-SE with Intel Core i7, 6Gb RAM 600W Power supply and ATI4670 graphics, running Ubuntu 10.10. About one month ago my hard disk (SATA II Seagate Barracuda 1Tb 7200 rpm) started making a clicking sound: a sort of loud tic-tac, every second or so, when involved in disk activity. The system was clearly slower than before at disk access, but it was functional and I could not find any signal of trouble on the linux logs. I disconnected the disk and tried an older SATA drive I had around: no problem with it. Then I reconnected the Seagate disk, and the problem was mysteriously gone. Ubuntu booted normally, usual speed, no clicking. A couple of weeks later, the problem reappeared. I tried disconnecting reconnecting (as it somehow solved the problem before) without luck. So, despite it was a rather new drive, I assumed it was a hardware issue, made backups and bought a new drive. The new drive is a SATA II Seagate Barracuda 1.5 Tb 7200 rpm. I installed both drives at the same time, with the intention of transferring my files from on to the other. To my surprise, when I booted the computer with both drives, both started making the clicking sound !! Even worse, I removed the old drive, leaving the unformated new drive connected, and booted from a LiveCD. It kept clicking ! Puzzled by this, I tried both drives on my laptop with a SATA to USB cable. At the moment I connected any of them, they made one or two unusual clicks and immediately stopped doing that and worked normally. The old drive I thought almost dead, was working like a charm as if nothing happened. Then I thought: "ok, it must be the motherboard. Let's try again". So, I reconnected the old drive to the ASUS P6T motherboard (the same cables and SATA port as before), and it worked as if nothing happened ! The problem was gone again. The new 1.5 Tb drive was also working ok: No clicking nor slowdown. So I left the old 1Tb disk connected and kept using the computer daily during 3 weeks, until today it happened again. Now I don't really know what to do or check. I'm not even sure if it is a hardware issue any more ! This is rather annoying as it seems it happens with a period of 2 or 3 weeks and I have no means of forcing it to happen. Does anyone have a clue of what can causes this behaviour or have any suggestions of things I should check when it happens again ? What I did today is checking some SMART parameters Error log: smartctl -l error /dev/sda. No errors Short selftest: smartctl -t short /dev/sda. No errors Disk Health check: smartctl -H /dev/sda. passed And here are the vendor specific parameters (smartctl -A /dev/sda) Which I'm not quite sure how to interpret. === START OF READ SMART DATA SECTION === SMART Attributes Data Structure revision number: 10 Vendor Specific SMART Attributes with Thresholds: ID# ATTRIBUTE_NAME FLAG VALUE WORST THRESH TYPE UPDATED WHEN_FAILED RAW_VALUE 1 Raw_Read_Error_Rate 0x000f 120 099 006 Pre-fail Always - 235962588 3 Spin_Up_Time 0x0003 095 095 000 Pre-fail Always - 0 4 Start_Stop_Count 0x0032 100 100 020 Old_age Always - 187 5 Reallocated_Sector_Ct 0x0033 100 100 036 Pre-fail Always - 0 7 Seek_Error_Rate 0x000f 072 060 030 Pre-fail Always - 16348045 9 Power_On_Hours 0x0032 096 096 000 Old_age Always - 3590 10 Spin_Retry_Count 0x0013 100 100 097 Pre-fail Always - 0 12 Power_Cycle_Count 0x0032 100 100 020 Old_age Always - 94 183 Runtime_Bad_Block 0x0032 100 100 000 Old_age Always - 0 184 End-to-End_Error 0x0032 100 100 099 Old_age Always - 0 187 Reported_Uncorrect 0x0032 100 100 000 Old_age Always - 0 188 Command_Timeout 0x0032 100 097 000 Old_age Always - 4295164029 189 High_Fly_Writes 0x003a 100 100 000 Old_age Always - 0 190 Airflow_Temperature_Cel 0x0022 070 057 045 Old_age Always - 30 (Lifetime Min/Max 19/31) 194 Temperature_Celsius 0x0022 030 043 000 Old_age Always - 30 (0 18 0 0) 195 Hardware_ECC_Recovered 0x001a 037 026 000 Old_age Always - 235962588 197 Current_Pending_Sector 0x0012 100 100 000 Old_age Always - 0 198 Offline_Uncorrectable 0x0010 100 100 000 Old_age Offline - 0 199 UDMA_CRC_Error_Count 0x003e 200 200 000 Old_age Always - 0 240 Head_Flying_Hours 0x0000 100 253 000 Old_age Offline - 73950746906346 241 Total_LBAs_Written 0x0000 100 253 000 Old_age Offline - 1832967731 242 Total_LBAs_Read 0x0000 100 253 000 Old_age Offline - 3294986902 Any clue to this mystery will be really welcome. Thank you very much !!

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• SQL Server query problem

  - by user335160

  I want to achieved the results shown in the attached image. The Table Structure and Data are the ffg below: Table Relationship Overall IB Limit->one to many-> Facility Limit Facility Limit->one to many-> Facility Sub Limit Tables Structure and Data Overall IB Limit Id SCAF Reference Approval Date 1 NEW-001 January 1, 2011 2 NEW-002 January 2, 2011 3 NEW-003 January 3, 2011 ---------------------------- Facility Limit Id OverallIBLimitId Product Type 1 1 RPA 2 1 CG 3 2 RPA 4 3 CG ---------------------------- Facility Sub Limit Id FacilityLimitId Sub-Limit Type Amount Tenor Status Status Date 1 1 RPA at max 2,000,0000.00 2 months Approved January 5, 2011 2 1 Oil 3,000,0000.00 3 yrs Approved January 5, 2011 3 2 CG at minor 4,000,0000.00 1 yr Approved January 5, 2011 4 2 CG at max 5,000,0000.00 6 months Approved January 5, 2011 5 2 Flood Component 1 5,000,0000.00 6 months Approved January 5, 2011 6 2 Flood Component 2 6,000,0000.00 3 yrs Approved January 5, 2011 7 3 RPA at minor 1,000,0000.00 6 months Approved January 5, 2011 8 4 One-Off 1,000,0000.00 6 months Approved January 5, 2011

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• SQL Server: Cross-tabulation, please help

  - by user335160

  I want to achieve the results shown in the attached image. The table structure and data are: Table relationship: Facility Limit -> one to many -> Facility Sub Limit Tables structure and data Facility Limit Id OverallIBLimitId Product Type 1 1 RPA 2 1 CG 3 2 RPA 4 3 CG Facility Sub Limit Id FacilityLimitId Sub-Limit Type Amount Tenor Status Status Date 1 1 RPA at max 2,000,0000.00 2 months Approved January 5, 2011 2 1 Oil 3,000,0000.00 3 yrs Approved January 5, 2011 3 2 CG at minor 4,000,0000.00 1 yr Approved January 5, 2011 4 2 CG at max 5,000,0000.00 6 months Approved January 5, 2011 5 2 Flood Component 1 5,000,0000.00 6 months Approved January 5, 2011 6 2 Flood Component 2 6,000,0000.00 3 yrs Approved January 5, 2011 7 3 RPA at minor 1,000,0000.00 6 months Approved January 5, 2011 8 4 One-Off 1,000,0000.00 6 months Approved January 5, 2011

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• Strange data swapping error occurs when I attempt to update rows in my table from another table in m

  - by Wesley

  So I have a table of data that is 10,000 lines long. Several of the columns in the table simply describe information about one of the columns, meaning, that only one column has the content, and the rest of the columns describe the location of the content (its for a book). Right now, only 6,000 of the 10,000 rows' content column is filled with its content. Rows 6-10,000's content column simply says null. I have another table in the db that has the content for rows 6,000-10,000, with the correct corresponding primary key which would (seemingly) make it easy to update the 10,000 row table. I have been trying an update query such as the following: UPDATE table(10,000) SET content_column = (SELECT content FROM table(6,000-10,000) WHERE table(10,000).id = table(6-10,000.id) Which kind of works, the only problem is that it pulls in the data from the second table just fine, but it replaces the existing content column with null. So rows 1-6,000's content column become null, and rows 6-10,000's content column have the correct values...Pretty strange I thought anyway. Does anybody have any thoughts about where I am going wrong? If you could show me a better sql query, I would appreciate it! Thanks

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• What can I do with .chk files in FOUND.000 folders?

  - by Svish

  Just discovered I have gotten a FOUND.000 folder on my usb drive. I guess from running chkdsk once. It has three files in it: FILE0000.CHK FILE0001.CHK FILE0002.CHK What exactly can I do with these files? What are my options? Are they lost files? Are they garbage? Can I use them for anything at all? Or will I just have to delete them?

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• What I do with .chk files in FOUND.000 folders?

  - by Svish

  Just discovered I have gotten a FOUND.000 folder on my usb drive. I guess from running chkdsk once. It has three files in it: FILE0000.CHK FILE0001.CHK FILE0002.CHK What exactly can I do with these files? What are my options? Are they lost files? Are they garbage? Can I use them for anything at all? Or will I just have to delete them?

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• Hard Disk DRDY error: is it a crash

  - by pranjal

  I am using IBM Thinkpad, 1.7GHz, 512 RAM with Linux Mint 9 installed. I have two partitions in addition to root. One of the partitions became read-only yesterday, after which I rebooted my system. It is extremely slow along with DRDY Error : Is my Hard disk crashed ? Error Log while booting. Differences between boot sector and its backup. failed command : READ DMA BMDMA : stat 0X25 ata 1.00 : status : { DRDY ERR } ata 1.00 : status :{ UNC } Buffer I/O error on logical device, logical block 65467 smartctl output for the partition: mint mint # smartctl -a /dev/sda1 smartctl version 5.38 [i686-pc-linux-gnu] Copyright (C) 2002-8 Bruce Allen Home page is http://smartmontools.sourceforge.net/ === START OF INFORMATION SECTION === Device Model: TOSHIBA MK4026GAX RoHS Serial Number: X5LY1623T Firmware Version: PA107E User Capacity: 40,007,761,920 bytes Device is: Not in smartctl database [for details use: -P showall] ATA Version is: 6 ATA Standard is: Exact ATA specification draft version not indicated Local Time is: Thu Feb 17 06:48:25 2011 UTC SMART support is: Available - device has SMART capability. SMART support is: Enabled === START OF READ SMART DATA SECTION === SMART overall-health self-assessment test result: PASSED General SMART Values: Offline data collection status: (0x84) Offline data collection activity was suspended by an interrupting command from host. Auto Offline Data Collection: Enabled. Self-test execution status: ( 0) The previous self-test routine completed without error or no self-test has ever been run. Total time to complete Offline data collection: ( 153) seconds. Offline data collection capabilities: (0x1b) SMART execute Offline immediate. Auto Offline data collection on/off support. Suspend Offline collection upon new command. Offline surface scan supported. Self-test supported. No Conveyance Self-test supported. No Selective Self-test supported. SMART capabilities: (0x0003) Saves SMART data before entering power-saving mode. Supports SMART auto save timer. Error logging capability: (0x01) Error logging supported. No General Purpose Logging support. Short self-test routine recommended polling time: ( 2) minutes. Extended self-test routine recommended polling time: ( 30) minutes. SMART Attributes Data Structure revision number: 16 Vendor Specific SMART Attributes with Thresholds: ID# ATTRIBUTE_NAME FLAG VALUE WORST THRESH TYPE UPDATED WHEN_FAILED RAW_VALUE 1 Raw_Read_Error_Rate 0x000b 100 100 050 Pre-fail Always - 0 2 Throughput_Performance 0x0005 100 100 050 Pre-fail Offline - 0 3 Spin_Up_Time 0x0027 100 100 001 Pre-fail Always - 310 4 Start_Stop_Count 0x0032 100 100 000 Old_age Always - 3968 5 Reallocated_Sector_Ct 0x0033 100 100 050 Pre-fail Always - 40 7 Seek_Error_Rate 0x000b 100 100 050 Pre-fail Always - 0 8 Seek_Time_Performance 0x0005 100 100 050 Pre-fail Offline - 0 9 Power_On_Hours 0x0032 082 082 000 Old_age Always - 7257 10 Spin_Retry_Count 0x0033 179 100 030 Pre-fail Always - 0 12 Power_Cycle_Count 0x0032 100 100 000 Old_age Always - 3484 192 Power-Off_Retract_Count 0x0032 100 100 000 Old_age Always - 489 193 Load_Cycle_Count 0x0032 064 064 000 Old_age Always - 367150 194 Temperature_Celsius 0x0022 100 100 000 Old_age Always - 36 (Lifetime Min/Max 14/57) 196 Reallocated_Event_Count 0x0032 100 100 000 Old_age Always - 33 197 Current_Pending_Sector 0x0032 100 100 000 Old_age Always - 82 198 Offline_Uncorrectable 0x0030 100 100 000 Old_age Offline - 1 199 UDMA_CRC_Error_Count 0x0032 200 253 000 Old_age Always - 0 220 Disk_Shift 0x0002 100 100 000 Old_age Always - 101 222 Loaded_Hours 0x0032 085 085 000 Old_age Always - 6146 223 Load_Retry_Count 0x0032 100 100 000 Old_age Always - 0 224 Load_Friction 0x0022 100 100 000 Old_age Always - 0 226 Load-in_Time 0x0026 100 100 000 Old_age Always - 227 240 Head_Flying_Hours 0x0001 100 100 001 Pre-fail Offline - 0 SMART Error Log Version: 1 ATA Error Count: 2371 (device log contains only the most recent five errors) CR = Command Register [HEX] FR = Features Register [HEX] SC = Sector Count Register [HEX] SN = Sector Number Register [HEX] CL = Cylinder Low Register [HEX] CH = Cylinder High Register [HEX] DH = Device/Head Register [HEX] DC = Device Command Register [HEX] ER = Error register [HEX] ST = Status register [HEX] Powered_Up_Time is measured from power on, and printed as DDd+hh:mm:SS.sss where DD=days, hh=hours, mm=minutes, SS=sec, and sss=millisec. It "wraps" after 49.710 days. Error 2371 occurred at disk power-on lifetime: 7256 hours (302 days + 8 hours) When the command that caused the error occurred, the device was active or idle. After command completion occurred, registers were: ER ST SC SN CL CH DH -- -- -- -- -- -- -- 40 51 05 1a 1b 00 e0 Error: UNC 5 sectors at LBA = 0x00001b1a = 6938 Commands leading to the command that caused the error were: CR FR SC SN CL CH DH DC Powered_Up_Time Command/Feature_Name -- -- -- -- -- -- -- -- ---------------- -------------------- c8 00 05 1a 1b 00 e0 00 00:03:10.061 READ DMA f8 00 00 00 00 00 e0 00 00:03:10.061 READ NATIVE MAX ADDRESS ec 00 00 00 00 00 a0 02 00:03:10.053 IDENTIFY DEVICE ef 03 45 00 00 00 a0 02 00:03:10.053 SET FEATURES [Set transfer mode] f8 00 00 00 00 00 e0 00 00:03:10.053 READ NATIVE MAX ADDRESS Error 2370 occurred at disk power-on lifetime: 7256 hours (302 days + 8 hours) When the command that caused the error occurred, the device was active or idle. After command completion occurred, registers were: ER ST SC SN CL CH DH -- -- -- -- -- -- -- 40 51 05 1a 1b 00 e0 Error: UNC 5 sectors at LBA = 0x00001b1a = 6938 Commands leading to the command that caused the error were: CR FR SC SN CL CH DH DC Powered_Up_Time Command/Feature_Name -- -- -- -- -- -- -- -- ---------------- -------------------- c8 00 05 1a 1b 00 e0 00 00:03:03.328 READ DMA f8 00 00 00 00 00 e0 00 00:03:03.327 READ NATIVE MAX ADDRESS ec 00 00 00 00 00 a0 02 00:03:03.320 IDENTIFY DEVICE ef 03 45 00 00 00 a0 02 00:03:03.319 SET FEATURES [Set transfer mode] f8 00 00 00 00 00 e0 00 00:03:03.319 READ NATIVE MAX ADDRESS Error 2369 occurred at disk power-on lifetime: 7256 hours (302 days + 8 hours) When the command that caused the error occurred, the device was active or idle. After command completion occurred, registers were: ER ST SC SN CL CH DH -- -- -- -- -- -- -- 40 51 05 1a 1b 00 e0 Error: UNC 5 sectors at LBA = 0x00001b1a = 6938 Commands leading to the command that caused the error were: CR FR SC SN CL CH DH DC Powered_Up_Time Command/Feature_Name -- -- -- -- -- -- -- -- ---------------- -------------------- c8 00 05 1a 1b 00 e0 00 00:02:56.582 READ DMA f8 00 00 00 00 00 e0 00 00:02:56.582 READ NATIVE MAX ADDRESS ec 00 00 00 00 00 a0 02 00:02:56.574 IDENTIFY DEVICE ef 03 45 00 00 00 a0 02 00:02:56.574 SET FEATURES [Set transfer mode] f8 00 00 00 00 00 e0 00 00:02:56.574 READ NATIVE MAX ADDRESS Error 2368 occurred at disk power-on lifetime: 7256 hours (302 days + 8 hours) When the command that caused the error occurred, the device was active or idle. After command completion occurred, registers were: ER ST SC SN CL CH DH -- -- -- -- -- -- -- 40 51 05 1a 1b 00 e0 Error: UNC 5 sectors at LBA = 0x00001b1a = 6938 Commands leading to the command that caused the error were: CR FR SC SN CL CH DH DC Powered_Up_Time Command/Feature_Name -- -- -- -- -- -- -- -- ---------------- -------------------- c8 00 05 1a 1b 00 e0 00 00:02:49.809 READ DMA f8 00 00 00 00 00 e0 00 00:02:49.809 READ NATIVE MAX ADDRESS ec 00 00 00 00 00 a0 02 00:02:49.801 IDENTIFY DEVICE ef 03 45 00 00 00 a0 02 00:02:49.801 SET FEATURES [Set transfer mode] f8 00 00 00 00 00 e0 00 00:02:49.801 READ NATIVE MAX ADDRESS Error 2367 occurred at disk power-on lifetime: 7256 hours (302 days + 8 hours) When the command that caused the error occurred, the device was active or idle. After command completion occurred, registers were: ER ST SC SN CL CH DH -- -- -- -- -- -- -- 40 51 05 1a 1b 00 e0 Error: UNC 5 sectors at LBA = 0x00001b1a = 6938 Commands leading to the command that caused the error were: CR FR SC SN CL CH DH DC Powered_Up_Time Command/Feature_Name -- -- -- -- -- -- -- -- ---------------- -------------------- c8 00 05 1a 1b 00 e0 00 00:02:43.056 READ DMA f8 00 00 00 00 00 e0 00 00:02:43.056 READ NATIVE MAX ADDRESS ec 00 00 00 00 00 a0 02 00:02:43.048 IDENTIFY DEVICE ef 03 45 00 00 00 a0 02 00:02:43.048 SET FEATURES [Set transfer mode] f8 00 00 00 00 00 e0 00 00:02:43.047 READ NATIVE MAX ADDRESS SMART Self-test log structure revision number 1 No self-tests have been logged. [To run self-tests, use: smartctl -t] Device does not support Selective Self Tests/Logging Do I need to get a new Hard Disk my PC ?

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• Openswan ipsec transport tunnel not going up

  - by gparent

  On ClusterA and B I have installed the "openswan" package on Debian Squeeze. ClusterA ip is 172.16.0.107, B is 172.16.0.108 When they ping one another, it does not reach the destination. /etc/ipsec.conf: version 2.0 # conforms to second version of ipsec.conf specification config setup protostack=netkey oe=off conn L2TP-PSK-CLUSTER type=transport left=172.16.0.107 right=172.16.0.108 auto=start ike=aes128-sha1-modp2048 authby=secret compress=yes /etc/ipsec.secrets: 172.16.0.107 172.16.0.108 : PSK "L2TPKEY" 172.16.0.108 172.16.0.107 : PSK "L2TPKEY" Here is the result of ipsec verify on both machines: root@cluster2:~# ipsec verify Checking your system to see if IPsec got installed and started correctly: Version check and ipsec on-path [OK] Linux Openswan U2.6.28/K2.6.32-5-amd64 (netkey) Checking for IPsec support in kernel [OK] NETKEY detected, testing for disabled ICMP send_redirects [OK] NETKEY detected, testing for disabled ICMP accept_redirects [OK] Checking that pluto is running [OK] Pluto listening for IKE on udp 500 [OK] Pluto listening for NAT-T on udp 4500 [FAILED] Checking for 'ip' command [OK] Checking for 'iptables' command [OK] Opportunistic Encryption Support [DISABLED] root@cluster2:~# This is the end of the output of ipsec auto --status: 000 "cluster": 172.16.0.108<172.16.0.108>[+S=C]...172.16.0.107<172.16.0.107>[+S=C]; prospective erouted; eroute owner: #0 000 "cluster": myip=unset; hisip=unset; 000 "cluster": ike_life: 3600s; ipsec_life: 28800s; rekey_margin: 540s; rekey_fuzz: 100%; keyingtries: 0 000 "cluster": policy: PSK+ENCRYPT+COMPRESS+PFS+UP+IKEv2ALLOW+lKOD+rKOD; prio: 32,32; interface: eth0; 000 "cluster": newest ISAKMP SA: #1; newest IPsec SA: #0; 000 "cluster": IKE algorithm newest: AES_CBC_128-SHA1-MODP2048 000 000 #3: "cluster":500 STATE_QUICK_R0 (expecting QI1); EVENT_CRYPTO_FAILED in 298s; lastdpd=-1s(seq in:0 out:0); idle; import:admin initiate 000 #2: "cluster":500 STATE_QUICK_I1 (sent QI1, expecting QR1); EVENT_RETRANSMIT in 13s; lastdpd=-1s(seq in:0 out:0); idle; import:admin initiate 000 #1: "cluster":500 STATE_MAIN_I4 (ISAKMP SA established); EVENT_SA_REPLACE in 2991s; newest ISAKMP; lastdpd=-1s(seq in:0 out:0); idle; import:admin initiate 000 Interestingly enough, if I do ike-scan on the server here's what happens: Doesn't seem to take my ike settings into account root@cluster1:~# ike-scan -M 172.16.0.108 Starting ike-scan 1.9 with 1 hosts (http://www.nta-monitor.com/tools/ike-scan/) 172.16.0.108 Main Mode Handshake returned HDR=(CKY-R=641bffa66ba717b6) SA=(Enc=3DES Hash=SHA1 Auth=PSK Group=2:modp1024 LifeType=Seconds LifeDuration(4)=0x00007080) VID=4f45517b4f7f6e657a7b4351 VID=afcad71368a1f1c96b8696fc77570100 (Dead Peer Detection v1.0) Ending ike-scan 1.9: 1 hosts scanned in 0.008 seconds (118.19 hosts/sec). 1 returned handshake; 0 returned notify root@cluster1:~# I can't tell what's going on here, this is pretty much the simplest config I can have according to the examples.

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• booth multiplication algorithm

  - by grassPro

  Is booth algorithm for multiplication only for multiplying 2 negative numbers (-3 * -4) or one positive and one negative number (-3 * 4) ? Whenever i multiply 2 positive numbers using booth algorithm i get a wrong result. example : 5 * 4 A = 101 000 0 // binary of 5 is 101 S = 011 000 0 // 2's complement of 5 is 011 P = 000 100 0 // binary of 4 is 100 x = 3 y = 3 m = 5 -m = 2's complement of m r = 4 After right shift of P by 1 bit 0 000 100 After right shift of P by 1 bit 0 000 010 P+S = 011 001 0 After right shift by 1 bit 0 011 001 Discarding the LSB 001100 But that comes out to be the binary of 12 . It should have been 20(010100)

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• Linq Query - Average Time (DateTime data types)

  - by Jade

  I have a database that has the following records in a DateTime field: 2012-04-13 08:31:00.000 2012-04-12 07:53:00.000 2012-04-11 07:59:00.000 2012-04-10 08:16:00.000 2012-04-09 15:11:00.000 2012-04-08 08:28:00.000 2012-04-06 08:26:00.000 I want to run a linq to sql query to get the average time from the records above. I tried the following: (From o In MYDATA Select o.SleepTo).Average() Since "SleepTo" is a datetime field I get an error on Average(). If I was trying to get the average of say an integer, the above linq query works. What do I need to do to get it to work for datetimes?

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• rails 3, active record: any way to tell how many unique values match a "x LIKE ?" query

  - by jpwynn

  I have a query to find all the phone numbers that match a partial expression such as "ends with 234" @matchingphones = Calls.find :all, :conditions => [ "(thephonenumber LIKE ?)", "%234"] The same phone number might be in the database several times, and so might be returned multiple times by this query if it matches. What I need is to know is UNIQUE phone numbers the query returns. For example if the database contains 000-111-1234 * 000-111-3333 000-111-2234 * 000-111-1234 * 000-111-4444 the existing query will return the 3 records marked with * (eg returns one phone number -1234 twice since it's in the database twice) what I need is a query that returns just once instance of each match, in this case 000-111-1234 * 000-111-2234 *

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• Mdx produces repeated values for a measure and across measures

  - by Joe

  The MDX query below is giving me repeated measure values as shown in the result below the query. Sometimes it give me save valuea across different measures. SELECT NON EMPTY { [Measures].[Amount], } ON COLUMNS, NON EMPTY { ( [Date_Time].[Date].[Date].ALLMEMBERS * [Date_Time].[Working Day].[Working Day].ALLMEMBERS ) } DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM [DDS] where {[Date_Time].[Year].&[2010-01-01T00:00:00] } Date working day Amount 2010-01-01 00:00:00.000 1 19582 2010-01-02 00:00:00.000 0 19582 2010-01-03 00:00:00.000 0 19582 2010-01-04 00:00:00.000 1 19582 2010-01-05 00:00:00.000 1 19582 2010-01-06 00:00:00.000 1 19582 2010-01-07 00:00:00.000 1 19582 How can I rectify these issues?

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• Where should I declare a list of 5,000+ words?

  - by user647362

  I am writing a game in python in which I must periodically pull a random word from a list of words. When I prototyped my game I declared a word_list = ['cat','dog','rat','house'] of ten words at the top of one of my modules. I then use choice(word_list) to get a random word. However, I must must change this temporary hack into something more elegant because I need to increase the size of the word list to 5,000+ words. If I do this in my current module it will look ridiculous. Should I put all of these words in a flat txt file, and then read from that file as I need words? If so, how would I best do that? Put each word an a separate line and then read one random line? I'm not sure what the most efficient way is.

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• Windows 2008 R2 CA and auto-enrollment: how to get rid of >100,000 issued certificates?

  - by HopelessN00b

  The basic problem I'm having is that I have 100,000 useless machine certificates cluttering up my CA, and I'd like to delete them, without deleting all certs, or time jumping the server ahead, and invalidating some of the useful certs on there. This came about as a result of accepting a couple defaults with our Enterprise Root CA (2008 R2) and using a GPO to auto-enroll client machines for certificates to allow 802.1x authentication to our corporate wireless network. Turns out that the default Computer (Machine) Certificate Template will happily allow machines to re-enroll instead of directing them to use the certificate they already have. This is creating a number of problems for the guy (me) who was hoping to use the Certificate Authority as more than a log of every time a workstation's been rebooted. (The scroll bar on the side is lying, if you drag it to the bottom, the screen pauses and loads the next few dozen certs.) Does anyone know how to DELETE 100,000 or so time-valid, existing certificates from a Windows Server 2008R2 CA? When I go to delete a certificate now, now, I get an error that it cannot be delete because it's still valid. So, ideally, some way to temporarily bypass that error, as Mark Henderson's provided a way to delete the certificates with a script once that hurdle is cleared. (Revoking them is not an option, as that just moves them to Revoked Certificates, which we need to be able to view, and they can't be deleted from the revoked "folder" either.) Update: I tried the site @MarkHenderson linked, which is promising, and offers much better certificate manageability, buts still doesn't quite get there. The rub in my case seems to be that the certificates are still "time-valid," (not yet expired) so the CA doesn't want to let them be deleted from existence, and this applies to revoked certs as well, so revoking them all and then deleting them won't work either. I've also found this technet blog with my Google-Fu, but unfortunately, they seemed to only have to delete a very large number of certificate requests, not actual certificates. Finally, for now, time jumping the CA forward so the certificates I want to get rid of expire, and therefore can be deleted with the tools at the site Mark linked is not a great option, as would expire a number of valid certificates we use that have to be manually issued. So it's a better option than rebuilding the CA, but not a great one.

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• What is the fastest way to insert 100 000 records from one database to another?

  - by Pentium10

  I have a mobile application. My client has a large data set ~100.000 records. It's updated frequently. When we sync we need to copy from one database to another. I have attached the second database to the main, and run an insert into table select * from sync.table. This is extremely slow, it takes about 10 minutes I think. I noticed that the journal file gets increased step by step. How can I speed this up? EDITED 1 I have indexes off, and I have journal off. Using insert into table select * from sync.table it still takes 10 minutes. EDITED 2 If I run a query like select id,invitem,invid,cost from inventory where itemtype = 1 order by invitem limit 50 it takes 15-20 seconds. The table schema is: CREATE TABLE inventory ('id' INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, 'serverid' INTEGER NOT NULL DEFAULT 0, 'itemtype' INTEGER NOT NULL DEFAULT 0, 'invitem' VARCHAR, 'instock' FLOAT NOT NULL DEFAULT 0, 'cost' FLOAT NOT NULL DEFAULT 0, 'invid' VARCHAR, 'categoryid' INTEGER DEFAULT 0, 'pdacategoryid' INTEGER DEFAULT 0, 'notes' VARCHAR, 'threshold' INTEGER NOT NULL DEFAULT 0, 'ordered' INTEGER NOT NULL DEFAULT 0, 'supplier' VARCHAR, 'markup' FLOAT NOT NULL DEFAULT 0, 'taxfree' INTEGER NOT NULL DEFAULT 0, 'dirty' INTEGER NOT NULL DEFAULT 1, 'username' VARCHAR, 'version' INTEGER NOT NULL DEFAULT 15 ) Indexes are created like CREATE INDEX idx_inventory_categoryid ON inventory (pdacategoryid); CREATE INDEX idx_inventory_invitem ON inventory (invitem); CREATE INDEX idx_inventory_itemtype ON inventory (itemtype); I am wondering, the insert into ... select * from isn't the fastest built-in way to do massive data copy? EDITED 3 SQLite is serverless, so please stop voting a particular answer, because that is not the answer I'm sure.

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• Given a vector of maximum 10 000 natural and distinct numbers, find 4 numbers(a, b, c, d) such that

  - by king_kong

  Hi, I solved this problem by following a straightforward but not optimal algorithm. I sorted the vector in descending order and after that substracted numbers from max to min to see if I get a + b + c = d. Notice that I haven't used anywhere the fact that elements are natural, distinct and 10 000 at most. I suppose these details are the key. Does anyone here have a hint over an optimal way of solving this? Thank you in advance! Later Edit: My idea goes like this: '<<quicksort in descending order>>' for i:=0 to count { // after sorting, loop through the array int d := v[i]; for j:=i+1 to count { int dif1 := d - v[j]; int a := v[j]; for k:=j+1 to count { if (v[k] > dif1) continue; int dif2 := dif1 - v[k]; b := v[k]; for l:=k+1 to count { if (dif2 = v[l]) { c := dif2; return {a, b, c, d} } } } } } What do you think?(sorry for the bad indentation)

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• A faulty Caviar Blue hard drive?

  - by Glister

  We have a small "homemade" server running fully updated Debian Wheezy (amd64). One hard drive installed: WDC WD6400AAKS. The motherboard is ASUS M4N68T V2. The usual load: CPU: an average of 20% Each week about 50GB of additional space is occupied. About 47GB of uploaded files and 3GB of MySQL data. I'm afraid that the hard drive may be about to fail. I saw Pre-fail on few places when I ran: root@SERVER:/tmp# smartctl -a /dev/sda smartctl 5.41 2011-06-09 r3365 [x86_64-linux-3.2.0-4-amd64] (local build) Copyright (C) 2002-11 by Bruce Allen, http://smartmontools.sourceforge.net === START OF INFORMATION SECTION === Model Family: Western Digital Caviar Blue Serial ATA Device Model: WDC WD6400AAKS-XXXXXXX Serial Number: WD-XXXXXXXXXXXXXXXXXXX LU WWN Device Id: 5 0014ee XXXXXXXXXXXXX Firmware Version: 01.03B01 User Capacity: 640,135,028,736 bytes [640 GB] Sector Size: 512 bytes logical/physical Device is: In smartctl database [for details use: -P show] ATA Version is: 8 ATA Standard is: Exact ATA specification draft version not indicated Local Time is: Mon Oct 28 18:55:27 2013 UTC SMART support is: Available - device has SMART capability. SMART support is: Enabled === START OF READ SMART DATA SECTION === SMART overall-health self-assessment test result: PASSED General SMART Values: Offline data collection status: (0x85) Offline data collection activity was aborted by an interrupting command from host. Auto Offline Data Collection: Enabled. Self-test execution status: ( 247) Self-test routine in progress... 70% of test remaining. Total time to complete Offline data collection: (11580) seconds. Offline data collection capabilities: (0x7b) SMART execute Offline immediate. Auto Offline data collection on/off support. Suspend Offline collection upon new command. Offline surface scan supported. Self-test supported. Conveyance Self-test supported. Selective Self-test supported. SMART capabilities: (0x0003) Saves SMART data before entering power-saving mode. Supports SMART auto save timer. Error logging capability: (0x01) Error logging supported. General Purpose Logging supported. Short self-test routine recommended polling time: ( 2) minutes. Extended self-test routine recommended polling time: ( 136) minutes. Conveyance self-test routine recommended polling time: ( 5) minutes. SCT capabilities: (0x303f) SCT Status supported. SCT Error Recovery Control supported. SCT Feature Control supported. SCT Data Table supported. SMART Attributes Data Structure revision number: 16 Vendor Specific SMART Attributes with Thresholds: ID# ATTRIBUTE_NAME FLAG VALUE WORST THRESH TYPE UPDATED WHEN_FAILED RAW_VALUE 1 Raw_Read_Error_Rate 0x002f 200 200 051 Pre-fail Always - 0 3 Spin_Up_Time 0x0027 157 146 021 Pre-fail Always - 5108 4 Start_Stop_Count 0x0032 098 098 000 Old_age Always - 2968 5 Reallocated_Sector_Ct 0x0033 200 200 140 Pre-fail Always - 0 7 Seek_Error_Rate 0x002e 200 200 051 Old_age Always - 0 9 Power_On_Hours 0x0032 079 079 000 Old_age Always - 15445 10 Spin_Retry_Count 0x0032 100 100 051 Old_age Always - 0 11 Calibration_Retry_Count 0x0032 100 100 051 Old_age Always - 0 12 Power_Cycle_Count 0x0032 098 098 000 Old_age Always - 2950 192 Power-Off_Retract_Count 0x0032 200 200 000 Old_age Always - 426 193 Load_Cycle_Count 0x0032 200 200 000 Old_age Always - 2968 194 Temperature_Celsius 0x0022 111 095 000 Old_age Always - 36 196 Reallocated_Event_Count 0x0032 200 200 000 Old_age Always - 0 197 Current_Pending_Sector 0x0032 200 200 000 Old_age Always - 0 198 Offline_Uncorrectable 0x0030 200 200 000 Old_age Offline - 0 199 UDMA_CRC_Error_Count 0x0032 200 160 000 Old_age Always - 21716 200 Multi_Zone_Error_Rate 0x0008 200 200 051 Old_age Offline - 0 SMART Error Log Version: 1 No Errors Logged SMART Self-test log structure revision number 1 Num Test_Description Status Remaining LifeTime(hours) LBA_of_first_error # 1 Short offline Completed without error 00% 15444 - Error SMART Read Selective Self-Test Log failed: scsi error aborted command Smartctl: SMART Selective Self Test Log Read Failed root@SERVER:/tmp# In one tutorial I read that the pre-fail is a an indication of coming failure, in another tutorial I read that it is not true. Can you guys help me decode the output of smartctl? It would be also nice to share suggestions what should I do if I want to ensure data integrity (about 50GB of new data each week, up to 2TB for the whole period I'm interested in). Maybe I will go with 2x2TB Caviar Black in RAID4?

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• DELETE and EDIT is not working in my python program

  - by user2968025

  This is a simple python program that ADD, DELETE, EDIT and VIEW student records. The problem is, DELETE and EDIT is not working. I dont know why but when I tried removing one '?' in the DELETE dunction, I had the error that says there are only 8 columns and it needs 10. But originally, there are only 9 columns. I don't know where it got the other one to make it 10. Please help.. :( import sys import sqlite3 import tkinter import tkinter as tk from tkinter import * from tkinter.ttk import * def newRecord(): studentnum="" name="" age="" birthday="" address="" email="" course="" year="" section="" con=sqlite3.connect("Students.db") cur=con.cursor() cur.execute("CREATE TABLE IF NOT EXISTS student(studentnum TEXT, name TEXT, age TEXT, birthday TEXT, address TEXT, email TEXT, course TEXT, year TEXT, section TEXT)") def save(): studentnum=en1.get() name=en2.get() age=en3.get() birthday=en4.get() address=en5.get() email=en6.get() course=en7.get() year=en8.get() section=en9.get() student=(studentnum,name,age,birthday,address,email,course,year,section) cur.execute("INSERT INTO student(studentnum,name,age,birthday,address,email,course,year,section) VALUES(?,?,?,?,?,?,?,?,?)",student) con.commit() win=tkinter.Tk();win.title("Students") lbl=tkinter.Label(win,background="#000",foreground="#ddd",width=30,text="Add Record") lbl.pack() lbl1=tkinter.Label(win,width=30,text="Student Number : ") lbl1.pack() en1=tkinter.Entry(win,width=30) en1.pack() lbl2=tkinter.Label(win,width=30,text="Name : ") lbl2.pack() en2=tkinter.Entry(win,width=30) en2.pack() lbl3=tkinter.Label(win,width=30,text="Age : ") lbl3.pack() en3=tkinter.Entry(win,width=30) en3.pack() lbl4=tkinter.Label(win,width=30,text="Birthday : ") lbl4.pack() en4=tkinter.Entry(win,width=30) en4.pack() lbl5=tkinter.Label(win,width=30,text="Address : ") lbl5.pack() en5=tkinter.Entry(win,width=30) en5.pack() lbl6=tkinter.Label(win,width=30,text="Email : ") lbl6.pack() en6=tkinter.Entry(win,width=30) en6.pack() lbl7=tkinter.Label(win,width=30,text="Course : ") lbl7.pack() en7=tkinter.Entry(win,width=30) en7.pack() lbl8=tkinter.Label(win,width=30,text="Year : ") lbl8.pack() en8=tkinter.Entry(win,width=30) en8.pack() lbl9=tkinter.Label(win,width=30,text="Section : ") lbl9.pack() en9=tkinter.Entry(win,width=30) en9.pack() btn1=tkinter.Button(win,background="#000",foreground="#ddd",width=30,text="Save Student",command=save) btn1.pack() def editRecord(): studentnum1="" def edit(): studentnum1=en10.get() studentnum="" name="" age="" birthday="" address="" email="" course="" year="" section="" con=sqlite3.connect("Students.db") cur=con.cursor() row=cur.fetchone() cur.execute("DELETE FROM student WHERE name = '%s'" % studentnum1) con.commit() def save(): studentnum=en1.get() name=en2.get() age=en3.get() birthday=en4.get() address=en5.get() email=en6.get() course=en7.get() year=en8.get() section=en8.get() student=(studentnum,name,age,email,birthday,address,email,course,year,section) cur.execute("INSERT INTO student(studentnum,name,age,email,birthday,address,email,course,year,section) VALUES(?,?,?,?,?,?,?,?,?)",student) con.commit() win=tkinter.Tk();win.title("Students") lbl=tkinter.Label(win,background="#000",foreground="#ddd",width=30,text="Edit Reocrd :"+'\t'+studentnum1) lbl.pack() lbl1=tkinter.Label(win,width=30,text="Student Number : ") lbl1.pack() en1=tkinter.Entry(win,width=30) en1.pack() lbl2=tkinter.Label(win,width=30,text="Name : ") lbl2.pack() en2=tkinter.Entry(win,width=30) en2.pack() lbl3=tkinter.Label(win,width=30,text="Age : ") lbl3.pack() en3=tkinter.Entry(win,width=30) en3.pack() lbl4=tkinter.Label(win,width=30,text="Birthday : ") lbl4.pack() en4=tkinter.Entry(win,width=30) en4.pack() lbl5=tkinter.Label(win,width=30,text="Address : ") lbl5.pack() en5=tkinter.Entry(win,width=30) en5.pack() lbl6=tkinter.Label(win,width=30,text="Email : ") lbl6.pack() en6=tkinter.Entry(win,width=30) en6.pack() lbl7=tkinter.Label(win,width=30,text="Course : ") lbl7.pack() en7=tkinter.Entry(win,width=30) en7.pack() lbl8=tkinter.Label(win,width=30,text="Year : ") lbl8.pack() en8=tkinter.Entry(win,width=30) en8.pack() lbl9=tkinter.Label(win,width=30,text="Section : ") lbl9.pack() en9=tkinter.Entry(win,width=30) en9.pack() btn1=tkinter.Button(win,background="#000",foreground="#ddd",width=30,text="Save Record",command=save) btn1.pack() win=tkinter.Tk();win.title("Edit Student") lbl=tkinter.Label(win,background="#000",foreground="#ddd",width=30,text="Edit Record") lbl.pack() lbl10=tkinter.Label(win,width=30,text="Student Number : ") lbl10.pack() en10=tkinter.Entry(win) en10.pack() btn2=tkinter.Button(win,background="#000",foreground="#ddd",width=30,text="Edit",command=edit) btn2.pack() def deleteRecord(): studentnum1="" win=tkinter.Tk();win.title("Delete Student Record") lbl=tkinter.Label(win,background="#000",foreground="#ddd",width=30,text="Delete Record") lbl.pack() lbl10=tkinter.Label(win,text="Student Number") lbl10.pack() en10=tkinter.Entry(win) en10.pack() def delete(): studentnum1=en10.get() con=sqlite3.connect("Students.db") cur=con.cursor() row=cur.fetchone() cur.execute("DELETE FROM student WHERE name = '%s';" % studentnum1) con.commit() win=tkinter.Tk();win.title("Record Deleted") lbl=tkinter.Label(win,background="#000",foreground="#ddd",width=30,text="Record Deleted :") lbl.pack() lbl=tkinter.Label(win,width=30,text=studentnum1) lbl.pack() btn=tkinter.Button(win,background="#000",foreground="#ddd",width=30,text="Ok",command=win.destroy) btn.pack() btn2=tkinter.Button(win,background="#000",foreground="#ddd",width=30,text="Delete",command=delete) btn2.pack() def viewRecord(): con=sqlite3.connect("Students.db") cur=con.cursor() win=tkinter.Tk();win.title("View Student Record"); row=cur.fetchall() lbl1=tkinter.Label(win,background="#000",foreground="#ddd",width=300,text="\n\tStudent Number"+"\t\tName"+"\t\tAge"+"\t\tBirthday"+"\t\tAddress"+"\t\tEmail"+"\t\tCourse"+"\t\tYear"+"\t\nSection") lbl1.pack() for row in cur.execute("SELECT * FROM student"): lbl2=tkinter.Label(win,width=300,text= row[0] + '\t\t' + row[1] + '\t' + row[2] + '\t\t' + row[3] + '\t\t' + row[4] + '\t\t' + row[5] + '\t\t' + row[6] + '\t\t' + row[7] + '\t\t' + row[8] + '\n') lbl2.pack() con.close() but1=tkinter.Button(win,background="#000",foreground="#fff", width=150,text="Close",command=win.destroy) but1.pack() root=tkinter.Tk();root.title("Student Records") menubar=tkinter.Menu(root) manage=tkinter.Menu(menubar,tearoff=0) manage.add_command(label='New Record',command=newRecord) manage.add_command(label='Edit Record',command=editRecord) manage.add_command(label='Delete Record',command=deleteRecord) menubar.add_cascade(label='Manage',menu=manage) view=tkinter.Menu(menubar,tearoff=0) view.add_command(label='View Record',command=viewRecord) menubar.add_cascade(label='View',menu=view) root.config(menu=menubar) lbl=tkinter.Label(root,background="#000",foreground="#ddd",font=("Verdana",15),width=30,text="Student Records") lbl.pack() lbl1=tkinter.Label(root,text="\nSubmitted by :") lbl1.pack() lbl2=tkinter.Label(root,text="Chavez, Vissia Nicole P") lbl2.pack() lbl3=tkinter.Label(root,text="BSIT 4-4") lbl3.pack()

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• Home server hard drive: 186k start-stop cycles in 325 days?

  - by j-g-faustus

  I set up a home server about a year ago, using Ubuntu server (10.04 LTS at the moment), four disks in RAID 5 for storage (WD Green 1.5 TB) and a laptop drive for the OS. Today the output of smartctl, a command line utility for checking the SMART attributes of a hard drive, tells me that the primary OS drive has had no less than 186,000 start-stop cycles in 325 days and may be nearing the end of its lifespan. The smartctl output is in "normalized values", in this case a number between 200 and 000, where 200 is "brand new" and 000 means "worn out". My disk gets 001. So I wonder what happened: 186k start/stop cycles in 7820 hours is about one start/stop per 2.5 minutes around the clock. This seems somewhat excessive for a computer that sees actual use once or twice per day. (The RAID disks are normal, averaging to one start/stop per day, as expected.) Does anyone have similar experiences, or pointers to what might be the issue here? Specifically I'd like to know Why the massive start/stop count? Do I have some sort of configuration issue? Could there be a background service that is causing trouble? Could having a laptop disk as the OS drive be part of the problem? Can anyone confirm or deny this? Here is the /etc/hdparm.conf configuration /dev/sda { apm = 127 spindown_time = 120 } and the most relevant parts of smartctl --attributes /dev/sda: smartctl version 5.38 [x86_64-unknown-linux-gnu] Copyright (C) 2002-8 Bruce Allen === START OF READ SMART DATA SECTION === SMART Attributes Data Structure revision number: 16 Vendor Specific SMART Attributes with Thresholds: ID# ATTRIBUTE_NAME FLAG VALUE WORST THRESH TYPE UPDATED WHEN_FAILED RAW_VALUE 1 Raw_Read_Error_Rate 0x002f 200 200 051 Pre-fail Always - 0 4 Start_Stop_Count 0x0032 001 001 000 Old_age Always - 185875 9 Power_On_Hours 0x0032 090 090 000 Old_age Always - 7820 12 Power_Cycle_Count 0x0032 100 100 000 Old_age Always - 109 193 Load_Cycle_Count 0x0032 118 118 000 Old_age Always - 246833 194 Temperature_Celsius 0x0022 107 098 000 Old_age Always - 36 As I generally prefer my drives to last more than a year, any advice is appreciated.

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• Using Partitions for a large MySQL table

  - by user293594

  An update on my attempts to implement a 505,000,000-row table on MySQL on my MacBook Pro: Following the advice given, I have partitioned my table, tr: i UNSIGNED INT NOT NULL, j UNSIGNED INT NOT NULL, A FLOAT(12,8) NOT NULL, nu BIGINT NOT NULL, KEY (nu), key (A) with a range on nu. nu ought to be a real number, but because I only have 6-d.p. accuracy and the maximum value of nu is 30000. I multiplied it by 10^8 made it a BIGINT - I gather one can't use FLOAT or DOUBLE values to PARTITION a MySQL table. Anyway, I have 15 partitions (p0: nu<25,000,000,000, p1: nu<50,000,000,000, etc.). I was thinking that this should speed up a typical to SELECT: SELECT * FROM tr WHERE nu>95000000000 AND nu<100000000000 AND A.>1. to something of the order of the same query on a table consisting of only the data in the relevant partition (<30 secs). But it's taking 30mins+ to return rows for queries within a partition and double that if the query is for rows spanning two (contiguous) partitions. I realise I could just have 15 different tables, and query them separately, but is there a way to do this 'automatically' with partitions? Has anyone got any suggestions?

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• How to make a correct if-statement to filter out values from a xml-file

  - by Garreth 00

  Edit 3: As requested, I'm trying to simplify my question. Here is a sample of some of my data from a xml file: <entry> <title>Entry 1</title> <f:max_value_a>499 999</f:max_value_a> <f:max_value_b>999 999</f:max_value_b> <f:min_value_a>0</f:min_value_a> <f:min_value_b>500 000</f:min_value_b> <f:min_value_c>1 000 000</f:min_value_c> <f:value_for_a>5,10</f:value_for_a> <f:value_for_b>4,50</f:value_for_b> <f:value_for_c>3,90</f:value_for_c> </entry> <entry> <title>Entry 2</title> <f:min_value_a>0</f:min_value_a> <f:value_for_a>4,20</f:value_for_a> </entry> <entry> <title>Entry 3</title> <f:max_value_a>1 999 999</f:max_value_a> <f:min_value_a>100 000</f:min_value_a> <f:min_value_b>2 000 000</f:min_value_b> <f:value_for_a>3,735</f:value_for_a> <f:value_for_b>3,445</f:value_for_b> </entry> f:value_for_d is the highest value, and f:value_for_c is lower than d, and so on. I have a dynamic targetvalue (lets just go with 2 000 000 in this example) I want to get the value where max_value is greater than the targetvalue, but sometimes max_value is not defined and then set to "0". "0" in max_value should mean unlimited "roof". The min_value can not be greater than targetvalue, but sometimes min_value is not defined and then set to "0". "0" min_value should mean a unlimited "floor". I have tried with this code if ($value_for_d > 0 ){ if (($min_value_d <= $targetvalue) xor ($min_value_d == 0)){ if (($max_value_d >= $targetvalue) xor ($max_value_d == 0)){ $query_result = TRUE; $value = $value_for_d; } } }elseif ($value_for_c > 0 ){ if (($min_value_c <= $targetvalue) xor ($min_value_c == 0)){ if (($max_value_c >= $targetvalue) xor ($max_value_c == 0)){ $query_result = TRUE; $value = $value_for_c; } } }elseif ($value_for_b > 0 ){ if (($min_value_b <= $targetvalue) xor ($min_value_b == 0)){ if (($max_value_b >= $targetvalue) xor ($max_value_b == 0)){ $query_result = TRUE; $value = $value_for_b; } } }elseif ($value_for_a > 0 ){ if (($min_value_a <= $targetvalue) xor ($min_value_a == 0)){ if (($max_value_a >= $targetvalue) xor ($max_value_a == 0)){ $query_result = TRUE; $value = $value_for_a; } } } If I run this code with a targetvalue of "2 000 000", I get this result: Entry 1 - 3.9 (correct value is 3.9) Entry 2 - 0 (correct value is 4.2) Entry 3 - 3.445 (correct value is 3.445) If I set the targetvalue to even lower, to 500 000, I get 0 on all my entries.

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• IPSEC site-to-site Openswan to Cisco ASA

  - by Jim

  I recieved a list of commands that were run on the right side of the VPN tunnel which is where the Cisco ASA resides. On my side, I have a linux based firewall running debian with openswan installed. I am having an issue with getting to Phase 2 of the VPN negotiation. Here is the Cisco Information I was sent: {my_public_ip} = left side of connection tunnel-group {my_public_ip} type ipsec-l2l tunnel-group {my_public_ip} ipsec-attributes pre-shared-key fakefake crypto map vpn1 1 match add customer-ipsec crypto map vpn1 1 set peer {my_public_ip} crypto map vpn1 1 set transform-set aes-256-sha crypto map vpn1 interface outside static (outside,inside) 10.2.1.200 {my_public_ip} netmask 255.255.255.255 crypto ipsec transform-set aes-256-sha esp-aes-256 esp-sha-hmac crypto ipsec security-association lifetime seconds 28800 crypto ipsec security-association lifetime kilobytes 4608000 crypto map vpn1 1 match address customer-ipsec crypto map vpn1 1 set peer {my_public_ip} crypto map vpn1 1 set transform-set aes-256-sha crypto map vpn1 interface outside crypto isakmp enable outside crypto isakmp policy 1 authentication pre-share encryption aes-256 hash sha group 2 lifetime 86400 Myside ipsec.conf config setup klipsdebug=none plutodebug=none protostack=netkey #nat_traversal=yes conn cisco #name of VPN connection type=tunnel authby=secret #left side (myside) left={myPublicIP} leftsubnet=172.16.250.0/24 #net subnet on left sdie to assign to right side leftnexthop=%defaultroute #right security gateway (ASA side) right={CiscoASA_publicIP} #cisco ASA rightsubnet=10.2.1.0/24 rightnexthop=%defaultroute #crypo stuff keyexchange=ike ikelifetime=86400s auth=esp pfs=no compress=no auto=start ipsec.secrets file {CiscoASA_publicIP} {myPublicIP}: PSK "fakefake" When I start ipsec from the left side/my side I don't recieve any errors, however when I run the ipsec auto --status command: 000 "cisco": 172.16.250.0/24==={left_public_ip}<{left_public_ip}>[+S=C]---{left_public_ip_gateway}...{left_public_ip_gateway}--{right_public_ip}<{right_public_ip}>[+S=C]===10.2.1.0/24; prospective erouted; eroute owner: #0 000 "cisco": myip=unset; hisip=unset; 000 "cisco": ike_life: 86400s; ipsec_life: 28800s; rekey_margin: 540s; rekey_fuzz: 100%; keyingtries: 0 000 "cisco": policy: PSK+ENCRYPT+TUNNEL+UP+IKEv2ALLOW+SAREFTRACK+lKOD+rKOD; prio: 24,24; interface: eth0; 000 "cisco": newest ISAKMP SA: #0; newest IPsec SA: #0; 000 000 #2: "cisco":500 STATE_MAIN_I1 (sent MI1, expecting MR1); EVENT_RETRANSMIT in 10s; nodpd; idle; import:admin initiate 000 #2: pending Phase 2 for "cisco" replacing #0 Now I'm new to setting up an site-to-site IPSEC tunnel so the status informatino I am unsure what it means. All I know is it sits at this "pending Phase 2" and I can't ping the other side, Another question I have is, if I do a route -n, should I see anything relating to this connection? Also, I read a few artilcle where configs contained the interface="ipsec0=eth0", is this an interface that I have to create on the linux debian firewall on my side? Appreciate your time to look at this.

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• What makes signed integers behave differently?

  - by 000

  In this example of x86_64 hex/disassembled code I see: 48B80000000000000000 mov rax, 0x0 Signed Byte 52 Unsigned Byte 52 Signed Short 14388 Unsigned Short 14388 Signed Int 943863860 Unsigned Int 943863860 Signed Int64 3472328296363079732 Unsigned Int64 3472328296363079732 Float 4.630555e-05 Double 1.39804332763832e-76 String 48B80000000000000000 which to me appears to have the same functionality as: 48C7C000000000 mov rax, 0x0 48C7C000000000 Signed Byte 52 Unsigned Byte 52 Signed Short 14388 Unsigned Short 14388 Signed Int 927152180 Unsigned Int 927152180 Signed Int64 3472328377950746676 Unsigned Int64 3472328377950746676 Float 1.163599e-05 Double 1.39806836023098e-76 String 48C7C000000000 How is the first example treated differently from the second example?

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• t-sql i am transforming data

  - by João Pedro Portelinha

  I am transforming data from this legacy table: MovTime (IdMov INT, IdPerson NVARCHAR(20), Date1 datetime, Type1 nvarchar(30) ) IdMov IdPerson Date1 Type ----------- -------------------- ----------------------- ------------------------------ 1 David 2012-06-01 09:00:00.000 Entered 2 David 2012-06-01 12:30:00.000 Exit 3 David 2012-06-01 14:00:00.000 Entered 4 David 2012-06-01 18:30:00.000 Exit 5 Kim 2012-06-02 09:00:00.000 Entered 6 Kim 2012-06-02 12:00:00.000 Exit ... I want the result to be the following: IdPerson Data Total Time ---------- ---------- ---------- David 2012-06-01 08:00:00 Kim 2012-06-02 03:00:00 T-SQL declare @WK_TABLE TABLE (IdMov INT, IdPerson NVARCHAR(20), Date1 datetime, Type1 nvarchar(30)) Insert into @WK_TABLE values(1,'David', '2012-06-01 09:00', 'Entered') Insert into @WK_TABLE values(2,'David', '2012-06-01 12:30', 'Exit') Insert into @WK_TABLE values(3,'David', '2012-06-01 14:00', 'Entered') Insert into @WK_TABLE values(4,'David', '2012-06-01 18:30', 'Exit') Insert into @WK_TABLE values(5,'Kim', '2012-06-02 09:00', 'Entered') Insert into @WK_TABLE values(6,'Kim', '2012-06-02 12:00', 'Exit') select * from @WK_TABLE Can someone help me?

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• SciPy interp1d results are different than MatLab interp1

  - by LMO

  I'm converting a MatLab program to Python, and I'm having problems understanding why scipy.interpolate.interp1d is giving different results than MatLab interp1. In MatLab the usage is slightly different: yi = interp1(x,Y,xi,'cubic') SciPy: f = interp1d(x,Y,kind='cubic') yi = f(xi) For a trivial example the results are the same: MatLab: interp1([0 1 2 3 4], [0 1 2 3 4],[1.5 2.5 3.5],'cubic') 1.5000 2.5000 3.5000 Python: interp1d([1,2,3,4],[1,2,3,4],kind='cubic')([1.5,2.5,3.5]) array([ 1.5, 2.5, 3.5]) But for a real-world example they are not the same: x = 0.0000e+000 2.1333e+001 3.2000e+001 1.6000e+004 2.1333e+004 2.3994e+004 Y = -6 -6 20 20 -6 -6 xi = 0.00000 11.72161 23.44322 35.16484... (2048 data points) Matlab: -6.0000e+000 -1.2330e+001 -3.7384e+000 ... 7.0235e+000 7.0028e+000 6.9821e+000 SciPy: array([[ -6.00000000e+00], [ -1.56304101e+01], [ -2.04908267e+00], ..., [ 1.64475576e+05], [ 8.28360759e+04], [ -5.99999999e+00]]) Any thoughts as to how to can get results that are consistent with MatLab?

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