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  • Data Quality and Master Data Management Resources

    - by Dejan Sarka
    Many companies or organizations do regular data cleansing. When you cleanse the data, the data quality goes up to some higher level. The data quality level is determined by the amount of work invested in the cleansing. As time passes, the data quality deteriorates, and you need to repeat the cleansing process. If you spend an equal amount of effort as you did with the previous cleansing, you can expect the same level of data quality as you had after the previous cleansing. And then the data quality deteriorates over time again, and the cleansing process starts over and over again. The idea of Data Quality Services is to mitigate the cleansing process. While the amount of time you need to spend on cleansing decreases, you will achieve higher and higher levels of data quality. While cleansing, you learn what types of errors to expect, discover error patterns, find domains of correct values, etc. You don’t throw away this knowledge. You store it and use it to find and correct the same issues automatically during your next cleansing process. The following figure shows this graphically. The idea of master data management, which you can perform with Master Data Services (MDS), is to prevent data quality from deteriorating. Once you reach a particular quality level, the MDS application—together with the defined policies, people, and master data management processes—allow you to maintain this level permanently. This idea is shown in the following picture. OK, now you know what DQS and MDS are about. You can imagine the importance on maintaining the data quality. Here are some resources that help you preparing and executing the data quality (DQ) and master data management (MDM) activities. Books Dejan Sarka and Davide Mauri: Data Quality and Master Data Management with Microsoft SQL Server 2008 R2 – a general introduction to MDM, MDS, and data profiling. Matching explained in depth. Dejan Sarka, Matija Lah and Grega Jerkic: MCTS Self-Paced Training Kit (Exam 70-463): Building Data Warehouses with Microsoft SQL Server 2012 – I wrote quite a few chapters about DQ and MDM, and introduced also SQL Server 2012 DQS. Thomas Redman: Data Quality: The Field Guide – you should start with this book. Thomas Redman is the father of DQ and MDM. Tyler Graham: Microsoft SQL Server 2012 Master Data Services – MDS in depth from a product team mate. Arkady Maydanchik: Data Quality Assessment – data profiling in depth. Tamraparni Dasu, Theodore Johnson: Exploratory Data Mining and Data Cleaning – advanced data profiling with data mining. Forthcoming presentations I am presenting a DQS and MDM seminar at PASS SQL Rally Amsterdam 2013: Wednesday, November 6th, 2013: Enterprise Information Management with SQL Server 2012 – a good kick start to your first DQ and / or MDM project. Courses Data Quality and Master Data Management with SQL Server 2012 – I wrote a 2-day course for SolidQ. If you are interested in this course, which I could also deliver in a shorter seminar way, you can contact your closes SolidQ subsidiary, or, of course, me directly on addresses [email protected] or [email protected]. This course could also complement the existing courseware portfolio of training providers, which are welcome to contact me as well. Start improving the quality of your data now!

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  • How to enable telnet with port 3306 during Master to master replication on MySQL Server

    - by Mainio
    I am trying to do Master to Master Replication in Windows Server 2008. I am successfully able to replicate all the database of Master 1 to Master 2. But I am unable to replicate the changes made on Master 2 to Master 1. Later on I found that, I can telnet to Master 1 from Master 2 with port 3306 but I am not able on telnet from Master 1 to Master 2. When I check netstat on both Master. I found the following result. I couldn't publish my public IP so I put name as Master 1 and Master 2 for their respective IP Master 1 C:\Users\XXXXX>netstat Active Connections Proto Local Address Foreign Address State TCP Master 1:3306 Master 2:61566 ESTABLISHED TCP Master 1:3389 My remote:56053 ESTABLISHED TCP 127.0.0.1:3306 Master 1:60675 ESTABLISHED TCP 127.0.0.1:3306 Master 1:60712 ESTABLISHED TCP 127.0.0.1:60675 Master 1:3306 ESTABLISHED TCP 127.0.0.1:60712 Master 1:3306 ESTABLISHED Master 2 C:\Users\XXXX>netstat Active Connections Proto Local Address Foreign Address State TCP Master 2:3389 My remote:56124 ESTABLISHED TCP Master 2:61566 Master 1:3306 ESTABLISHED TCP Master 2:61574 bil-sc-cm02:http ESTABLISHED TCP 127.0.0.1:3306 Master 2:61562 ESTABLISHED TCP 127.0.0.1:3306 Master 2:61563 ESTABLISHED TCP 127.0.0.1:61562 Master 2:3306 ESTABLISHED TCP 127.0.0.1:61563 Master 2:3306 ESTABLISHED TCP 127.0.0.1:61573 Master 2:3306 TIME_WAIT All shows that In my master 2, port 3306 is not activate. Now I need solution over here. How can I figure it. Your small suggestion would be million for me. Thank you Regards, Udhyan

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  • Azure Mobile Services: what files does it consist of?

    - by svdoever
    Azure Mobile Services is a platform that provides a small set of functionality consisting of authentication, custom data tables, custom API’s, scheduling scripts and push notifications to be used as the back-end of a mobile application or if you want, any application or web site. As described in my previous post Azure Mobile Services: lessons learned the documentation on what can be used in the custom scripts is a bit minimalistic. The list below of all files the complete Azure Mobile Services platform consists of ca shed some light on what is available in the platform. In following posts I will provide more detailed information on what we can conclude from this list of files. Below are the available files as available in the Azure Mobile Services platform. The bold files are files that describe your data model, api scripts, scheduler scripts and table scripts. Those are the files you configure/construct to provide the “configuration”/implementation of you mobile service. The files are located in a folder like C:\DWASFiles\Sites\youreservice\VirtualDirectory0\site\wwwroot. One file is missing in the list below and that is the event log file C:\DWASFiles\Sites\youreservice\VirtualDirectory0\site\LogFiles\eventlog.xml where your messages written with for example console.log() and exception catched by the system are written. NOTA BENE: the Azure Mobile Services system is a system that is under full development, new releases may change the list of files. ./app.js ./App_Data/config/datamodel.json ./App_Data/config/scripts/api/youreapi.js ./App_Data/config/scripts/api/youreapi.json ./App_Data/config/scripts/scheduler/placeholder ./App_Data/config/scripts/scheduler/youresheduler.js ./App_Data/config/scripts/shared/placeholder ./App_Data/config/scripts/table/placeholder ./App_Data/config/scripts/table/yourtable.insert.js ./App_Data/config/scripts/table/yourtable.update.js ./App_Data/config/scripts/table/yourtable.delete.js ./App_Data/config/scripts/table/yourtable.read.js ./node_modules/apn/index.js ./node_modules/apn/lib/connection.js ./node_modules/apn/lib/device.js ./node_modules/apn/lib/errors.js ./node_modules/apn/lib/feedback.js ./node_modules/apn/lib/notification.js ./node_modules/apn/lib/util.js ./node_modules/apn/node_modules/q/package.json ./node_modules/apn/node_modules/q/q.js 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  • MySQL Master-Master w/ multiple read slave cost effective setup in AWS

    - by Ross
    I've been evaluating Amazon Web Services RDS for MySQL and costing out potential scenarios involving a simple multi-AZ deployment read/write setup vs. a multi-AZ deployment mysql master (hot-standby) with additional read-only slaves. the issue I'm trying to cost-optimize includes their reserved instance vs on-demand instances. Situation 1: purchase reserved multi-az setup for Extra-large-hi-mem(17GB RAM) instance for $5200/yr and have my application query the master all the time. the problem is, if I don't need all the resources of the (17GB RAM) all the time and therefore, especially not a hot-standby, what alternatives for savings can a better topology create, like potentially situation 2 below: Situation 2: purchase reserved multi-az setup using smaller master instances than above for the master-master hot-standby to receive the writes only. Then create and load balance several read-only slaves off the master and add/remove and/or scale up/down the read slaves based on demand. This might only cost $1000 + the on-demand usage of the read slaves. My thinking is, if I have a variable read-intensive application load, with low write load, the single level topology in situation 1 means I'm paying for a lot of resources at the write level of topology when I don't need them there. My hope is that situation 2 can yield cost savings from smaller reserved instances on the master-master resource level allowing me to scale up and down and/or out on the read-level according to demand as needed. Does anyone see a downside to doing this or know of some reason this isn't possible with RDS? Any other thoughts or advice always welcome of course. Thanks in advance, R

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  • Big Data – Learning Basics of Big Data in 21 Days – Bookmark

    - by Pinal Dave
    Earlier this month I had a great time to write Bascis of Big Data series. This series received great response and lots of good comments I have received, I am going to follow up this basics series with further in-depth series in near future. Here is the consolidated blog post where you can find all the 21 days blog posts together. Bookmark this page for future reference. Big Data – Beginning Big Data – Day 1 of 21 Big Data – What is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21 Big Data – Evolution of Big Data – Day 3 of 21 Big Data – Basics of Big Data Architecture – Day 4 of 21 Big Data – Buzz Words: What is NoSQL – Day 5 of 21 Big Data – Buzz Words: What is Hadoop – Day 6 of 21 Big Data – Buzz Words: What is MapReduce – Day 7 of 21 Big Data – Buzz Words: What is HDFS – Day 8 of 21 Big Data – Buzz Words: Importance of Relational Database in Big Data World – Day 9 of 21 Big Data – Buzz Words: What is NewSQL – Day 10 of 21 Big Data – Role of Cloud Computing in Big Data – Day 11 of 21 Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21 Big Data – Operational Databases Supporting Big Data – Key-Value Pair Databases and Document Databases – Day 13 of 21 Big Data – Operational Databases Supporting Big Data – Columnar, Graph and Spatial Database – Day 14 of 21 Big DataData Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21 Big Data – Interacting with Hadoop – What is PIG? – What is PIG Latin? – Day 16 of 21 Big Data – Interacting with Hadoop – What is Sqoop? – What is Zookeeper? – Day 17 of 21 Big Data – Basics of Big Data Analytics – Day 18 of 21 Big Data – How to become a Data Scientist and Learn Data Science? – Day 19 of 21 Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21 Big Data – Final Wrap and What Next – Day 21 of 21 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Enabling Kerberos Authentication for Reporting Services

    - by robcarrol
    Recently, I’ve helped several customers with Kerberos authentication problems with Reporting Services and Analysis Services, so I’ve decided to write this blog post and pull together some useful resources in one place (there are 2 whitepapers in particular that I found invaluable configuring Kerberos authentication, and these can be found in the references section at the bottom of this post). In most of these cases, the problem has manifested itself with the Login failed for User ‘NT Authority\Anonymous’ (“double-hop”) error. By default, Reporting Services uses Windows Integrated Authentication, which includes the Kerberos and NTLM protocols for network authentication. Additionally, Windows Integrated Authentication includes the negotiate security header, which prompts the client to select Kerberos or NTLM for authentication. The client can access reports which have the appropriate permissions by using Kerberos for authentication. Servers that use Kerberos authentication can impersonate those clients and use their security context to access network resources. You can configure Reporting Services to use both Kerberos and NTLM authentication; however this may lead to a failure to authenticate. With negotiate, if Kerberos cannot be used, the authentication method will default to NTLM. When negotiate is enabled, the Kerberos protocol is always used except when: Clients/servers that are involved in the authentication process cannot use Kerberos. The client does not provide the information necessary to use Kerberos. An in-depth discussion of Kerberos authentication is beyond the scope of this post, however when users execute reports that are configured to use Windows Integrated Authentication, their logon credentials are passed from the report server to the server hosting the data source. Delegation needs to be set on the report server and Service Principle Names (SPNs) set for the relevant services. When a user processes a report, the request must go through a Web server on its way to a database server for processing. Kerberos authentication enables the Web server to request a service ticket from the domain controller; impersonate the client when passing the request to the database server; and then restrict the request based on the user’s permissions. Each time a server is required to pass the request to another server, the same process must be used. Kerberos authentication is supported in both native and SharePoint integrated mode, but I’ll focus on native mode for the purpose of this post (I’ll explain configuring SharePoint integrated mode and Kerberos authentication in a future post). Configuring Kerberos avoids the authentication failures due to double-hop issues. These double-hop errors occur when a users windows domain credentials can’t be passed to another server to complete the user’s request. In the case of my customers, users were executing Reporting Services reports that were configured to query Analysis Services cubes on a separate machine using Windows Integrated security. The double-hop issue occurs as NTLM credentials are valid for only one network hop, subsequent hops result in anonymous authentication. The client attempts to connect to the report server by making a request from a browser (or some other application), and the connection process begins with authentication. With NTLM authentication, client credentials are presented to Computer 2. However Computer 2 can’t use the same credentials to access Computer 3 (so we get the Anonymous login error). To access Computer 3 it is necessary to configure the connection string with stored credentials, which is what a number of customers I have worked with have done to workaround the double-hop authentication error. However, to get the benefits of Windows Integrated security, a better solution is to enable Kerberos authentication. Again, the connection process begins with authentication. With Kerberos authentication, the client and the server must demonstrate to one another that they are genuine, at which point authentication is successful and a secure client/server session is established. In the illustration above, the tiers represent the following: Client tier (computer 1): The client computer from which an application makes a request. Middle tier (computer 2): The Web server or farm where the client’s request is directed. Both the SharePoint and Reporting Services server(s) comprise the middle tier (but we’re only concentrating on native deployments just now). Back end tier (computer 3): The Database/Analysis Services server/Cluster where the requested data is stored. In order to enable Kerberos authentication for Reporting Services it’s necessary to configure the relevant SPNs, configure trust for delegation for server accounts, configure Kerberos with full delegation and configure the authentication types for Reporting Services. Service Principle Names (SPNs) are unique identifiers for services and identify the account’s type of service. If an SPN is not configured for a service, a client account will be unable to authenticate to the servers using Kerberos. You need to be a domain administrator to add an SPN, which can be added using the SetSPN utility. For Reporting Services in native mode, the following SPNs need to be registered --SQL Server Service SETSPN -S mssqlsvc/servername:1433 Domain\SQL For named instances, or if the default instance is running under a different port, then the specific port number should be used. --Reporting Services Service SETSPN -S http/servername Domain\SSRS SETSPN -S http/servername.domain.com Domain\SSRS The SPN should be set for the NETBIOS name of the server and the FQDN. If you access the reports using a host header or DNS alias, then that should also be registered SETSPN -S http/www.reports.com Domain\SSRS --Analysis Services Service SETSPN -S msolapsvc.3/servername Domain\SSAS Next, you need to configure trust for delegation, which refers to enabling a computer to impersonate an authenticated user to services on another computer: Location Description Client 1. The requesting application must support the Kerberos authentication protocol. 2. The user account making the request must be configured on the domain controller. Confirm that the following option is not selected: Account is sensitive and cannot be delegated. Servers 1. The service accounts must be trusted for delegation on the domain controller. 2. The service accounts must have SPNs registered on the domain controller. If the service account is a domain user account, the domain administrator must register the SPNs. In Active Directory Users and Computers, verify that the domain user accounts used to access reports have been configured for delegation (the ‘Account is sensitive and cannot be delegated’ option should not be selected): We then need to configure the Reporting Services service account and computer to use Kerberos with full delegation:   We also need to do the same for the SQL Server or Analysis Services service accounts and computers (depending on what type of data source you are connecting to in your reports). Finally, and this is the part that sometimes gets over-looked, we need to configure the authentication type correctly for reporting services to use Kerberos authentication. This is configured in the Authentication section of the RSReportServer.config file on the report server. <Authentication> <AuthenticationTypes>           <RSWindowsNegotiate/> </AuthenticationTypes> <EnableAuthPersistence>true</EnableAuthPersistence> </Authentication> This will enable Kerberos authentication for Internet Explorer. For other browsers, see the link below. The report server instance must be restarted for these changes to take effect. Once these changes have been made, all that’s left to do is test to make sure Kerberos authentication is working properly by running a report from report manager that is configured to use Windows Integrated authentication (either connecting to Analysis Services or SQL Server back-end). Resources: Manage Kerberos Authentication Issues in a Reporting Services Environment http://download.microsoft.com/download/B/E/1/BE1AABB3-6ED8-4C3C-AF91-448AB733B1AF/SSRSKerberos.docx Configuring Kerberos Authentication for Microsoft SharePoint 2010 Products http://www.microsoft.com/download/en/details.aspx?displaylang=en&id=23176 How to: Configure Windows Authentication in Reporting Services http://msdn.microsoft.com/en-us/library/cc281253.aspx RSReportServer Configuration File http://msdn.microsoft.com/en-us/library/ms157273.aspx#Authentication Planning for Browser Support http://msdn.microsoft.com/en-us/library/ms156511.aspx

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  • Get your Master Immersion learning on!

    - by AaronBertrand
    Time is running out to register for the Master Immersion training events being held in Dallas, TX by SQLskills . These particular events will be instructed by Paul Randal ( blog | twitter ), Kimberly Tripp ( blog | twitter ), and Brent Ozar ( blog | twitter ) and reflect the new format for the Microsoft Certified Master (MCM) program. This means training in the low 4 figures instead of close to $20K, and that you can take at your own pace. We at SQL Sentry ( twitter ) are quite proud to be the exclusive...(read more)

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  • Get your Master Immersion learning on!

    - by AaronBertrand
    Time is running out to register for the Master Immersion training events being held in Dallas, TX by SQLskills . These particular events will be instructed by Paul Randal ( blog | twitter ), Kimberly Tripp ( blog | twitter ), and Brent Ozar ( blog | twitter ) and reflect the new format for the Microsoft Certified Master (MCM) program. This means training in the low 4 figures instead of close to $20K, and that you can take at your own pace. We at SQL Sentry ( twitter ) are quite proud to be the exclusive...(read more)

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  • mysql master-master setup as a way to simply master-slave promotion

    - by Chris Go
    I'm trying to see if the following plan is viable. Goal here is to be able to do HA (uptime) and not necessarily for load -- writes are fine on one MySQL 5.5 server (with innodb) but not really possible when the database is down. Currently, I have a master-slave replication setup which works fine except it doesn't have automatic promotion (obviously). what I am planning on doing is setup master-master replication to possibly do this "automatic promotion" using Amazon Route 53 DNS Failover (Health checks). What I am trying to avoid is to NOT have to do the auto-increment trick because the "business folks" got used to the auto-incrementing PK as consecutive numbers (yeah, I know this is bad but data is from 2004). So, setup the master-master replication WITHOUT the auto-increment collision prevention bit. The primary master is db1.domain.com and secondary master is db2.domain.com In Amazon Route 53, setup DNS Failover record for db.domain.com - primary failover is db1.domain.com - with a TCP healthcheck on IP address port 3306 - secondary failover is db2.domain.com - with a TCP healthcheck on IP address port 3306 Most of the time (99%), unless tcp://db1.domain.com:3306 is dead, db1.domain.com will be served up on DNS hits to db.domain.com. In fact, hopefully this is 100%. The possible downsides of this is the loss of a primary key (collision) and I think I am OK with losing one order. We are a low data volume B2B business and can just call our client up if this occurs (like an order disappearing). Does this sound like a good plan? Then I will also run another slave replication on db1.domain.com as "master" to a slave-db1.domain.com -- not sure why, maybe for heavy SELECTs?

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  • Master Data Services Employees Sample Model

    - by Davide Mauri
    I’ve been playing with Master Data Services quite a lot in those last days and I’m also monitoring the web for all available resources on it. Today I’ve found this freshly released sample available on MSDN Code Gallery: SQL Server Master Data Services Employee Sample Model http://code.msdn.microsoft.com/SSMDSEmployeeSample This sample shows how Recursive Hierarchies can be modeled in order to represent a typical organizational chart scenario where a self-relationship exists on the Employee entity. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Data Quality Through Data Governance

    Data Quality Governance Data quality is very important to every organization, bad data cost an organization time, money, and resources that could be prevented if the proper governance was put in to place.  Data Governance Program Criteria: Support from Executive Management and all Business Units Data Stewardship Program  Cross Functional Team of Data Stewards Data Governance Committee Quality Structured Data It should go without saying but any successful project in today’s business world must get buy in from executive management and all stakeholders involved with the project. If management does not fully support a project because they see it is in there and the company’s best interest then they will remove/eliminate funding, resources and allocated time to work on the project. In essence they can render a project dead until it is official killed by the business. In addition, buy in from stake holders is also very important because they can cause delays increased spending in time, money and resources because they do not support a project. Data Stewardship programs are administered by a data steward manager who primary focus is to support, train and manage a cross functional data stewards team. A cross functional team of data stewards are pulled from various departments act to ensure that all systems work to ensure that an organization’s goals are achieved. Typically, data stewards are subject matter experts that act as mediators between their respective departments and IT. Data Quality Procedures Data Governance Committees are composed of data stewards, Upper management, IT Leadership and various subject matter experts depending on a company. The primary goal of this committee is to define strategic goals, coordinate activities, set data standards and offer data guidelines for the business. Data Quality Policies In 1997, Claudia Imhoff defined a Data Stewardship’s responsibility as to approve business naming standards, develop consistent data definitions, determine data aliases, develop standard calculations and derivations, document the business rules of the corporation, monitor the quality of the data in the data warehouse, define security requirements, and so forth. She further explains data stewards responsible for creating and enforcing polices on the following but not limited to issues. Resolving Data Integration Issues Determining Data Security Documenting Data Definitions, Calculations, Summarizations, etc. Maintaining/Updating Business Rules Analyzing and Improving Data Quality

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  • Failed to connect from slave to master with error "error connecting to master (1045)"

    - by Victor Lin
    I try to setup replication from slave to the master. CHANGE MASTER TO MASTER_HOST = 'master', MASTER_PORT = 3306, MASTER_USER = 'repl', MASTER_PASSWORD = 'xxx'; And I did grant privileges to the user on master. I can connect with mysql command from slave machine to the master mysql -h master -u repl -p mysql> show grants; GRANT RELOAD, SUPER, REPLICATION SLAVE, CREATE USER ON *.* TO 'repl'@'xxx' IDENTIFIED BY PASSWORD 'xxx' mysql> select 1; +---+ | 1 | +---+ | 1 | +---+ 1 row in set (0.04 sec) As you can see, privileges are correct, connection works fine, but however, the connection for replication to master always failed. mysql> show slave status\G *************************** 1. row *************************** Slave_IO_State: Connecting to master Master_Host: master Master_User: repl Master_Port: 3306 Connect_Retry: 60 Master_Log_File: Read_Master_Log_Pos: 4 Relay_Log_File: slave-replay-bin.000002 Relay_Log_Pos: 4 Relay_Master_Log_File: Slave_IO_Running: Connecting Slave_SQL_Running: Yes Replicate_Do_DB: Replicate_Ignore_DB: Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 0 Last_Error: Skip_Counter: 0 Exec_Master_Log_Pos: 0 Relay_Log_Space: 107 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: NULL Master_SSL_Verify_Server_Cert: No Last_IO_Errno: 1045 Last_IO_Error: error connecting to master 'repl@master:3306' - retry-time: 60 retries: 86400 Last_SQL_Errno: 0 Last_SQL_Error: Replicate_Ignore_Server_Ids: Master_Server_Id: 0 1 row in set (0.00 sec) Is this caused by different version of MySQL server? The version of master is 5.0.77, and the slave is 5.5.13. But all articles I could find tell me that it's okay to replicate from a newer slave to old master. How to solve this problem? -- Update -- I even try to upgrade the old MySQL, but still, the problem is not solved. mysql> show slave status\G *************************** 1. row *************************** Slave_IO_State: Connecting to master Master_Host: master Master_User: repl Master_Port: 3306 Connect_Retry: 60 Master_Log_File: master-bin.000007 Read_Master_Log_Pos: 107 Relay_Log_File: slave-replay-bin.000001 Relay_Log_Pos: 4 Relay_Master_Log_File: master-bin.000007 Slave_IO_Running: Connecting Slave_SQL_Running: Yes Replicate_Do_DB: Replicate_Ignore_DB: Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 0 Last_Error: Skip_Counter: 0 Exec_Master_Log_Pos: 107 Relay_Log_Space: 107 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: NULL Master_SSL_Verify_Server_Cert: No Last_IO_Errno: 1045 Last_IO_Error: error connecting to master 'repl@master' - retry-time: 60 retries: 86400 Last_SQL_Errno: 0 Last_SQL_Error: Replicate_Ignore_Server_Ids: Master_Server_Id: 0 1 row in set (0.00 sec)

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  • Failed to connect from slave to master with error "error connecting to master (1045)"

    - by Victor Lin
    I try to setup replication from slave to the master. CHANGE MASTER TO MASTER_HOST = 'master', MASTER_PORT = 3306, MASTER_USER = 'repl', MASTER_PASSWORD = 'xxx'; And I did grant privileges to the user on master. I can connect with mysql command from slave machine to the master mysql -h master -u repl -p mysql> show grants; GRANT RELOAD, SUPER, REPLICATION SLAVE, CREATE USER ON *.* TO 'repl'@'xxx' IDENTIFIED BY PASSWORD 'xxx' mysql> select 1; +---+ | 1 | +---+ | 1 | +---+ 1 row in set (0.04 sec) As you can see, privileges are correct, connection works fine, but however, the connection for replication to master always failed. mysql> show slave status\G *************************** 1. row *************************** Slave_IO_State: Connecting to master Master_Host: master Master_User: repl Master_Port: 3306 Connect_Retry: 60 Master_Log_File: Read_Master_Log_Pos: 4 Relay_Log_File: slave-replay-bin.000002 Relay_Log_Pos: 4 Relay_Master_Log_File: Slave_IO_Running: Connecting Slave_SQL_Running: Yes Replicate_Do_DB: Replicate_Ignore_DB: Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 0 Last_Error: Skip_Counter: 0 Exec_Master_Log_Pos: 0 Relay_Log_Space: 107 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: NULL Master_SSL_Verify_Server_Cert: No Last_IO_Errno: 1045 Last_IO_Error: error connecting to master 'repl@master:3306' - retry-time: 60 retries: 86400 Last_SQL_Errno: 0 Last_SQL_Error: Replicate_Ignore_Server_Ids: Master_Server_Id: 0 1 row in set (0.00 sec) Is this caused by different version of MySQL server? The version of master is 5.0.77, and the slave is 5.5.13. But all articles I could find tell me that it's okay to replicate from a newer slave to old master. How to solve this problem? -- Update -- I even try to upgrade the old MySQL, but still, the problem is not solved. mysql> show slave status\G *************************** 1. row *************************** Slave_IO_State: Connecting to master Master_Host: master Master_User: repl Master_Port: 3306 Connect_Retry: 60 Master_Log_File: master-bin.000007 Read_Master_Log_Pos: 107 Relay_Log_File: slave-replay-bin.000001 Relay_Log_Pos: 4 Relay_Master_Log_File: master-bin.000007 Slave_IO_Running: Connecting Slave_SQL_Running: Yes Replicate_Do_DB: Replicate_Ignore_DB: Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 0 Last_Error: Skip_Counter: 0 Exec_Master_Log_Pos: 107 Relay_Log_Space: 107 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: NULL Master_SSL_Verify_Server_Cert: No Last_IO_Errno: 1045 Last_IO_Error: error connecting to master 'repl@master' - retry-time: 60 retries: 86400 Last_SQL_Errno: 0 Last_SQL_Error: Replicate_Ignore_Server_Ids: Master_Server_Id: 0 1 row in set (0.00 sec)

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  • SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

    - by pinaldave
    There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

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  • ? ORACLE MASTER ????? ????

    - by Urakawa
    ORACLE MASTER 11g?ORACLE MASTER Expert???????????ORACLE MASTER ?????????????????????? ??????????????????????????????1?????????? ????ORACLE MASTER??????11g????????????Expert??????????????????????????????

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  • Big Data – Is Big Data Relevant to me? – Big Data Questionnaires – Guest Post by Vinod Kumar

    - by Pinal Dave
    This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions of SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. I think the series from Pinal is a good one for anyone planning to start on Big Data journey from the basics. In my daily customer interactions this buzz of “Big Data” always comes up, I react generally saying – “Sir, do you really have a ‘Big Data’ problem or do you have a big Data problem?” Generally, there is a silence in the air when I ask this question. Data is everywhere in organizations – be it big data, small data, all data and for few it is bad data which is same as no data :). Wow, don’t discount me as someone who opposes “Big Data”, I am a big supporter as much as I am a critic of the abuse of this term by the people. In this post, I wanted to let my mind flow so that you can also think in the direction I want you to see these concepts. In any case, this is not an exhaustive dump of what is in my mind – but you will surely get the drift how I am going to question Big Data terms from customers!!! Is Big Data Relevant to me? Many of my customers talk to me like blank whiteboard with no idea – “why Big Data”. They want to jump into the bandwagon of technology and they want to decipher insights from their unexplored data a.k.a. unstructured data with structured data. So what are these industry scenario’s that come to mind? Here are some of them: Financials Fraud detection: Banks and Credit cards are monitoring your spending habits on real-time basis. Customer Segmentation: applies in every industry from Banking to Retail to Aviation to Utility and others where they deal with end customer who consume their products and services. Customer Sentiment Analysis: Responding to negative brand perception on social or amplify the positive perception. Sales and Marketing Campaign: Understand the impact and get closer to customer delight. Call Center Analysis: attempt to take unstructured voice recordings and analyze them for content and sentiment. Medical Reduce Re-admissions: How to build a proactive follow-up engagements with patients. Patient Monitoring: How to track Inpatient, Out-Patient, Emergency Visits, Intensive Care Units etc. Preventive Care: Disease identification and Risk stratification is a very crucial business function for medical. Claims fraud detection: There is no precise dollars that one can put here, but this is a big thing for the medical field. Retail Customer Sentiment Analysis, Customer Care Centers, Campaign Management. Supply Chain Analysis: Every sensors and RFID data can be tracked for warehouse space optimization. Location based marketing: Based on where a check-in happens retail stores can be optimize their marketing. Telecom Price optimization and Plans, Finding Customer churn, Customer loyalty programs Call Detail Record (CDR) Analysis, Network optimizations, User Location analysis Customer Behavior Analysis Insurance Fraud Detection & Analysis, Pricing based on customer Sentiment Analysis, Loyalty Management Agents Analysis, Customer Value Management This list can go on to other areas like Utility, Manufacturing, Travel, ITES etc. So as you can see, there are obviously interesting use cases for each of these industry verticals. These are just representative list. Where to start? A lot of times I try to quiz customers on a number of dimensions before starting a Big Data conversation. Are you getting the data you need the way you want it and in a timely manner? Can you get in and analyze the data you need? How quickly is IT to respond to your BI Requests? How easily can you get at the data that you need to run your business/department/project? How are you currently measuring your business? Can you get the data you need to react WITHIN THE QUARTER to impact behaviors to meet your numbers or is it always “rear-view mirror?” How are you measuring: The Brand Customer Sentiment Your Competition Your Pricing Your performance Supply Chain Efficiencies Predictive product / service positioning What are your key challenges of driving collaboration across your global business?  What the challenges in innovation? What challenges are you facing in getting more information out of your data? Note: Garbage-in is Garbage-out. Hold good for all reporting / analytics requirements Big Data POCs? A number of customers get into the realm of setting a small team to work on Big Data – well it is a great start from an understanding point of view, but I tend to ask a number of other questions to such customers. Some of these common questions are: To what degree is your advanced analytics (natural language processing, sentiment analysis, predictive analytics and classification) paired with your Big Data’s efforts? Do you have dedicated resources exploring the possibilities of advanced analytics in Big Data for your business line? Do you plan to employ machine learning technology while doing Advanced Analytics? How is Social Media being monitored in your organization? What is your ability to scale in terms of storage and processing power? Do you have a system in place to sort incoming data in near real time by potential value, data quality, and use frequency? Do you use event-driven architecture to manage incoming data? Do you have specialized data services that can accommodate different formats, security, and the management requirements of multiple data sources? Is your organization currently using or considering in-memory analytics? To what degree are you able to correlate data from your Big Data infrastructure with that from your enterprise data warehouse? Have you extended the role of Data Stewards to include ownership of big data components? Do you prioritize data quality based on the source system (that is Facebook/Twitter data has lower quality thresholds than radio frequency identification (RFID) for a tracking system)? Do your retention policies consider the different legal responsibilities for storing Big Data for a specific amount of time? Do Data Scientists work in close collaboration with Data Stewards to ensure data quality? How is access to attributes of Big Data being given out in the organization? Are roles related to Big Data (Advanced Analyst, Data Scientist) clearly defined? How involved is risk management in the Big Data governance process? Is there a set of documented policies regarding Big Data governance? Is there an enforcement mechanism or approach to ensure that policies are followed? Who is the key sponsor for your Big Data governance program? (The CIO is best) Do you have defined policies surrounding the use of social media data for potential employees and customers, as well as the use of customer Geo-location data? How accessible are complex analytic routines to your user base? What is the level of involvement with outside vendors and third parties in regard to the planning and execution of Big Data projects? What programming technologies are utilized by your data warehouse/BI staff when working with Big Data? These are some of the important questions I ask each customer who is actively evaluating Big Data trends for their organizations. These questions give you a sense of direction where to start, what to use, how to secure, how to analyze and more. Sign off Any Big data is analysis is incomplete without a compelling story. The best way to understand this is to watch Hans Rosling – Gapminder (2:17 to 6:06) videos about the third world myths. Don’t get overwhelmed with the Big Data buzz word, the destination to what your data speaks is important. In this blog post, we did not particularly look at any Big Data technologies. This is a set of questionnaire one needs to keep in mind as they embark their journey of Big Data. I did write some of the basics in my blog: Big Data – Big Hype yet Big Opportunity. Do let me know if these questions make sense?  Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Big Data – Basics of Big Data Architecture – Day 4 of 21

    - by Pinal Dave
    In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Big Data – Evolution of Big Data – Day 3 of 21

    - by Pinal Dave
    In yesterday’s blog post we answered what is the Big Data. Today we will understand why and how the evolution of Big Data has happened. Though the answer is very simple, I would like to tell it in the form of a history lesson. Data in Flat File In earlier days data was stored in the flat file and there was no structure in the flat file.  If any data has to be retrieved from the flat file it was a project by itself. There was no possibility of retrieving the data efficiently and data integrity has been just a term discussed without any modeling or structure around. Database residing in the flat file had more issues than we would like to discuss in today’s world. It was more like a nightmare when there was any data processing involved in the application. Though, applications developed at that time were also not that advanced the need of the data was always there and there was always need of proper data management. Edgar F Codd and 12 Rules Edgar Frank Codd was a British computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases. He presented 12 rules for the Relational Database and suddenly the chaotic world of the database seems to see discipline in the rules. Relational Database was a promising land for all the unstructured database users. Relational Database brought into the relationship between data as well improved the performance of the data retrieval. Database world had immediately seen a major transformation and every single vendors and database users suddenly started to adopt the relational database models. Relational Database Management Systems Since Edgar F Codd proposed 12 rules for the RBDMS there were many different vendors who started them to build applications and tools to support the relationship between database. This was indeed a learning curve for many of the developer who had never worked before with the modeling of the database. However, as time passed by pretty much everybody accepted the relationship of the database and started to evolve product which performs its best with the boundaries of the RDBMS concepts. This was the best era for the databases and it gave the world extreme experts as well as some of the best products. The Entity Relationship model was also evolved at the same time. In software engineering, an Entity–relationship model (ER model) is a data model for describing a database in an abstract way. Enormous Data Growth Well, everything was going fine with the RDBMS in the database world. As there were no major challenges the adoption of the RDBMS applications and tools was pretty much universal. There was a race at times to make the developer’s life much easier with the RDBMS management tools. Due to the extreme popularity and easy to use system pretty much every data was stored in the RDBMS system. New age applications were built and social media took the world by the storm. Every organizations was feeling pressure to provide the best experience for their users based the data they had with them. While this was all going on at the same time data was growing pretty much every organization and application. Data Warehousing The enormous data growth now presented a big challenge for the organizations who wanted to build intelligent systems based on the data and provide near real time superior user experience to their customers. Various organizations immediately start building data warehousing solutions where the data was stored and processed. The trend of the business intelligence becomes the need of everyday. Data was received from the transaction system and overnight was processed to build intelligent reports from it. Though this is a great solution it has its own set of challenges. The relational database model and data warehousing concepts are all built with keeping traditional relational database modeling in the mind and it still has many challenges when unstructured data was present. Interesting Challenge Every organization had expertise to manage structured data but the world had already changed to unstructured data. There was intelligence in the videos, photos, SMS, text, social media messages and various other data sources. All of these needed to now bring to a single platform and build a uniform system which does what businesses need. The way we do business has also been changed. There was a time when user only got the features what technology supported, however, now users ask for the feature and technology is built to support the same. The need of the real time intelligence from the fast paced data flow is now becoming a necessity. Large amount (Volume) of difference (Variety) of high speed data (Velocity) is the properties of the data. The traditional database system has limits to resolve the challenges this new kind of the data presents. Hence the need of the Big Data Science. We need innovation in how we handle and manage data. We need creative ways to capture data and present to users. Big Data is Reality! Tomorrow In tomorrow’s blog post we will try to answer discuss Basics of Big Data Architecture. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • ModSecurity compile error on nginx

    - by user146481
    I'm trying to install ModSecurity on nginx with the following instructions : wget https://github.com/SpiderLabs/ModSecurity/archive/master.zip unzip master cd ModSecurity-master ./autogen.sh ./configure --enable-standalone-module And i got the following error : Checking plataform... Identified as Linux configure: looking for Apache module support via DSO through APXS configure: error: couldn't find APXS After installing httpd-devel httpd-devel and running ./configure --enable-standalone-module --with-apxs=/usr/sbin/apxs ; make modsecurity compile workes but still have another error of nginx compilation : ./configure --add-module=/usr/local/src/john/ModSecurity-master/nginx/modsecurity and i got this error : gcc -c -pipe -O -W -Wall -Wpointer-arith -Wno-unused-parameter -Werror -g -I src/core -I src/event -I src/event/modules -I src/os/unix -I /usr/include/apache2 -I /usr/include/apr-1.0 -I /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone -I /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2 -I /usr/include/libxml2 -I objs -I src/http -I src/http/modules -I src/mail \ -o objs/addon/modsecurity/ngx_http_modsecurity.o \ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:20:23: error: http_core.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:21:26: error: http_request.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:37, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_logging.h:41:23: error: apr_pools.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:38, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:26:25: error: apr_general.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:27:24: error: apr_tables.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:38, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:44: error: expected specifier-qualifier-list before ‘apr_array_header_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:65: error: expected specifier-qualifier-list before ‘apr_array_header_t’ cc1: warnings being treated as errors /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:135: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:135: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:135: error: expected ‘,’ or ‘;’ before ‘multipart_cleanup’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_multipart.h:137: error: expected declaration specifiers or ‘...’ before ‘apr_table_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:39, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_pcre.h:41: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_pcre.h:45: error: expected ‘)’ before ‘*’ token In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:19:27: error: apr_file_info.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:41, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:29, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/persist_dbm.h:21: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/persist_dbm.h:21: error: type defaults to ‘int’ in declaration of ‘apr_table_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/persist_dbm.h:21: error: expected ‘,’ or ‘;’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/persist_dbm.h:24: error: expected declaration specifiers or ‘...’ before ‘apr_table_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:42, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:29, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:20:19: error: httpd.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:21:24: error: ap_release.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:24:26: error: apr_optional.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:42, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:29, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:30: error: expected declaration specifiers or ‘...’ before ‘modsec_register_tfn’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:30: error: expected declaration specifiers or ‘...’ before ‘(’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:30: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:30: error: type defaults to ‘int’ in declaration of ‘APR_DECLARE_OPTIONAL_FN’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:31: error: expected declaration specifiers or ‘...’ before ‘modsec_register_operator’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:31: error: expected declaration specifiers or ‘...’ before ‘(’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:31: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:31: error: type defaults to ‘int’ in declaration of ‘APR_DECLARE_OPTIONAL_FN’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:32: error: expected declaration specifiers or ‘...’ before ‘modsec_register_variable’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:33: error: expected declaration specifiers or ‘...’ before ‘(’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:32: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:36: error: type defaults to ‘int’ in declaration of ‘APR_DECLARE_OPTIONAL_FN’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:37: error: expected declaration specifiers or ‘...’ before ‘modsec_register_reqbody_processor’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:37: error: expected declaration specifiers or ‘...’ before ‘(’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:37: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:37: error: type defaults to ‘int’ in declaration of ‘APR_DECLARE_OPTIONAL_FN’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:42, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:29, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:56: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:58: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:65: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:65: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:65: error: expected ‘,’ or ‘;’ before ‘input_filter’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:68: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:68: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:68: error: expected ‘,’ or ‘;’ before ‘output_filter’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:70: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:70: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:70: error: expected ‘,’ or ‘;’ before ‘read_request_body’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:77: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:77: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:77: error: expected ‘,’ or ‘;’ before ‘send_error_bucket’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:83: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:85: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:93: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/apache2.h:95: error: expected ‘)’ before ‘*’ token In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:29, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:43:25: error: http_config.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:29, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:59: error: expected declaration specifiers or ‘...’ before ‘apr_array_header_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:61: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:61: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:61: error: expected ‘,’ or ‘;’ before ‘collection_original_setvar’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:63: error: expected declaration specifiers or ‘...’ before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:67: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:70: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:75: error: expected declaration specifiers or ‘...’ before ‘apr_array_header_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:76: error: expected declaration specifiers or ‘...’ before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:86: error: expected specifier-qualifier-list before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:94: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:101: error: expected specifier-qualifier-list before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:111: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:111: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:111: error: expected ‘,’ or ‘;’ before ‘msre_ruleset_process_phase’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:113: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:113: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:113: error: expected ‘,’ or ‘;’ before ‘msre_ruleset_process_phase_internal’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:115: error: expected declaration specifiers or ‘...’ before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:143: error: expected specifier-qualifier-list before ‘apr_ipsubnet_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:149: error: expected specifier-qualifier-list before ‘apr_array_header_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:189: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:219: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:235: error: expected specifier-qualifier-list before ‘fn_tfn_execute_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:239: error: expected declaration specifiers or ‘...’ before ‘fn_tfn_execute_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:258: error: expected declaration specifiers or ‘...’ before ‘apr_table_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:258: error: expected declaration specifiers or ‘...’ before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:285: error: expected specifier-qualifier-list before ‘apr_table_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:341: error: expected declaration specifiers or ‘...’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:341: error: type defaults to ‘int’ in declaration of ‘apr_status_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:341: error: ‘apr_status_t’ declared as function returning a function /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:341: error: ‘apr_status_t’ redeclared as different kind of symbol /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:113: note: previous declaration of ‘apr_status_t’ was here /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:342: error: expected declaration specifiers or ‘...’ before ‘apr_pool_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:342: error: ‘fn_action_execute_t’ declared as function returning a function /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:369: error: expected specifier-qualifier-list before ‘fn_action_init_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:399: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:403: error: expected declaration specifiers or ‘...’ before ‘apr_array_header_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:403: error: ‘msre_parse_vars’ declared as function returning a function /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/re.h:415: error: expected specifier-qualifier-list before ‘apr_size_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:40, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:54: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:62: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:66: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:68: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:70: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:74: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:76: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:82: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:88: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:90: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:92: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:100: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:102: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:104: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:106: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:108: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:110: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:112: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:114: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:128: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:132: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:136: error: expected ‘)’ before ‘*’ token /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:140: error: data definition has no type or storage class /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:140: error: type defaults to ‘int’ in declaration of ‘apr_fileperms_t’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:140: error: expected ‘,’ or ‘;’ before ‘mode2fileperms’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_util.h:144: error: expected declaration specifiers or ‘...’ before ‘apr_pool_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:41, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_xml.h:43: error: ‘xml_cleanup’ declared as function returning a function In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:42, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_geo.h:38:25: error: apr_file_io.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:42, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_geo.h:58: error: expected specifier-qualifier-list before ‘apr_file_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:43, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_gsb.h:22:22: error: apr_hash.h: No such file or directory In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:43, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_gsb.h:25: error: expected specifier-qualifier-list before ‘apr_file_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:44, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_unicode.h:25: error: expected specifier-qualifier-list before ‘apr_file_t’ In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:46, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/msc_crypt.h:34: error: expected ‘)’ before ‘*’ token In file included from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../standalone/api.h:23, from /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:28: /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:48:23: error: ap_config.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:49:21: error: apr_md5.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:50:25: error: apr_strings.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/../../apache2/modsecurity.h:54:22: error: http_log.h: No such file or directory /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:938: error: ‘ngx_http_modsecurity_ctx_t’ has no member named ‘req’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:938: error: too many arguments to function ‘ConvertNgxStringToUTF8’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:942: error: ‘ngx_http_modsecurity_ctx_t’ has no member named ‘req’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:944: error: ‘ngx_http_modsecurity_ctx_t’ has no member named ‘req’ /usr/local/src/john/ModSecurity-master/nginx/modsecurity/ngx_http_modsecurity.c:952: error: ‘modsecurity_read_body_cb’ undeclared (first use in this function) make[1]: *** [objs/addon/modsecurity/ngx_http_modsecurity.o] Error 1 make[1]: Leaving directory `/usr/local/src/john/nginx-1.2.5' make: *** [build] Error 2 Note : I'm using nginx as the only webserver and i do not have apache installed. OS : Centos 6 64bit How can i solve this problem And do you have another easy way to install modsecurity with nginx ?

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  • Working with Temporal Data in SQL Server

    - by Dejan Sarka
    My third Pluralsight course, Working with Temporal Data in SQL Server, is published. I am really proud on the second part of the course, where I discuss optimization of temporal queries. This was a nearly impossible task for decades. First solutions appeared only lately. I present all together six solutions (and one more that is not a solution), and I invented four of them. http://pluralsight.com/training/Courses/TableOfContents/working-with-temporal-data-sql-server

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  • SQL SERVER – Data Sources and Data Sets in Reporting Services SSRS

    - by Pinal Dave
    This example is from the Beginning SSRS by Kathi Kellenberger. Supporting files are available with a free download from the www.Joes2Pros.com web site. This example is from the Beginning SSRS. Supporting files are available with a free download from the www.Joes2Pros.com web site. Connecting to Your Data? When I was a child, the telephone book was an important part of my life. Maybe I was just a nerd, but I enjoyed getting a new book every year to page through to learn about the businesses in my small town or to discover where some of my school acquaintances lived. It was also the source of maps to my town’s neighborhoods and the towns that surrounded me. To make a phone call, I would need a telephone number. In order to find a telephone number, I had to know how to use the telephone book. That seems pretty simple, but it resembles connecting to any data. You have to know where the data is and how to interact with it. A data source is the connection information that the report uses to connect to the database. You have two choices when creating a data source, whether to embed it in the report or to make it a shared resource usable by many reports. Data Sources and Data Sets A few basic terms will make the upcoming choses make more sense. What database on what server do you want to connect to? It would be better to just ask… “what is your data source?” The connection you need to make to get your reports data is called a data source. If you connected to a data source (like the JProCo database) there may be hundreds of tables. You probably only want data from just a few tables. This means you want to write a specific query against this data source. A query on a data source to get just the records you need for an SSRS report is called a Data Set. Creating a local Data Source You can connect embed a connection from your report directly to your JProCo database which (let’s say) is installed on a server named Reno. If you move JProCo to a new server named Tampa then you need to update the Data Set. If you have 10 reports in one project that were all pointing to the JProCo database on the Reno server then they would all need to be updated at once. It’s possible to make a project level Data Source and have each report use that. This means one change can fix all 10 reports at once. This would be called a Shared Data Source. Creating a Shared Data Source The best advice I can give you is to create shared data sources. The reason I recommend this is that if a database moves to a new server you will have just one place in Report Manager to make the server name change. That one change will update the connection information in all the reports that use that data source. To get started, you will start with a fresh project. Go to Start > All Programs > SQL Server 2012 > Microsoft SQL Server Data Tools to launch SSDT. Once SSDT is running, click New Project to create a new project. Once the New Project dialog box appears, fill in the form, as shown in. Be sure to select Report Server Project this time – not the wizard. Click OK to dismiss the New Project dialog box. You should now have an empty project, as shown in the Solution Explorer. A report is meant to show you data. Where is the data? The first task is to create a Shared Data Source. Right-click on the Shared Data Sources folder and choose Add New Data Source. The Shared Data Source Properties dialog box will launch where you can fill in a name for the data source. By default, it is named DataSource1. The best practice is to give the data source a more meaningful name. It is possible that you will have projects with more than one data source and, by naming them, you can tell one from another. Type the name JProCo for the data source name and click the Edit button to configure the database connection properties. If you take a look at the types of data sources you can choose, you will see that SSRS works with many data platforms including Oracle, XML, and Teradata. Make sure SQL Server is selected before continuing. For this post, I am assuming that you are using a local SQL Server and that you can use your Windows account to log in to the SQL Server. If, for some reason you must use SQL Server Authentication, choose that option and fill in your SQL Server account credentials. Otherwise, just accept Windows Authentication. If your database server was installed locally and with the default instance, just type in Localhost for the Server name. Select the JProCo database from the database list. At this point, the connection properties should look like. If you have installed a named instance of SQL Server, you will have to specify the server name like this: Localhost\InstanceName, replacing the InstanceName with whatever your instance name is. If you are not sure about the named instance, launch the SQL Server Configuration Manager found at Start > All Programs > Microsoft SQL Server 2012 > Configuration Tools. If you have a named instance, the name will be shown in parentheses. A default instance of SQL Server will display MSSQLSERVER; a named instance will display the name chosen during installation. Once you get the connection properties filled in, click OK to dismiss the Connection Properties dialog box and OK again to dismiss the Shared Data Source properties. You now have a data source in the Solution Explorer. What’s next I really need to thank Kathi Kellenberger and Rick Morelan for sharing this material for this 5 day series of posts on SSRS. To get really comfortable with SSRS you will get to know the different SSDT windows, Build reports on your own (without the wizards),  Add report headers and footers, Accept user input,  create levels, charts, or even maps for visual appeal. You might be surprise to know a small 230 page book starts from the very beginning and covers the steps to do all these items. Beginning SSRS 2012 is a small easy to follow book so you can learn SSRS for less than $20. See Joes2Pros.com for more on this and other books. If you want to learn SSRS in easy to simple words – I strongly recommend you to get Beginning SSRS book from Joes 2 Pros. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Reporting Services, SSRS

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  • New Communications Industry Data Model with "Factory Installed" Predictive Analytics using Oracle Da

    - by charlie.berger
    Oracle Introduces Oracle Communications Data Model to Provide Actionable Insight for Communications Service Providers   We've integrated pre-installed analytical methodologies with the new Oracle Communications Data Model to deliver automated, simple, yet powerful predictive analytics solutions for customers.  Churn, sentiment analysis, identifying customer segments - all things that can be anticipated and hence, preconcieved and implemented inside an applications.  Read on for more information! TM Forum Management World, Nice, France - 18 May 2010 News Facts To help communications service providers (CSPs) manage and analyze rapidly growing data volumes cost effectively, Oracle today introduced the Oracle Communications Data Model. With the Oracle Communications Data Model, CSPs can achieve rapid time to value by quickly implementing a standards-based enterprise data warehouse that features communications industry-specific reporting, analytics and data mining. The combination of the Oracle Communications Data Model, Oracle Exadata and the Oracle Business Intelligence (BI) Foundation represents the most comprehensive data warehouse and BI solution for the communications industry. Also announced today, Hong Kong Broadband Network enhanced their data warehouse system, going live on Oracle Communications Data Model in three months. The leading provider increased its subscriber base by 37 percent in six months and reduced customer churn to less than one percent. Product Details Oracle Communications Data Model provides industry-specific schema and embedded analytics that address key areas such as customer management, marketing segmentation, product development and network health. CSPs can efficiently capture and monitor critical data and transform it into actionable information to support development and delivery of next-generation services using: More than 1,300 industry-specific measurements and key performance indicators (KPIs) such as network reliability statistics, provisioning metrics and customer churn propensity. Embedded OLAP cubes for extremely fast dimensional analysis of business information. Embedded data mining models for sophisticated trending and predictive analysis. Support for multiple lines of business, such as cable, mobile, wireline and Internet, which can be easily extended to support future requirements. With Oracle Communications Data Model, CSPs can jump start the implementation of a communications data warehouse in line with communications-industry standards including the TM Forum Information Framework (SID), formerly known as the Shared Information Model. Oracle Communications Data Model is optimized for any Oracle Database 11g platform, including Oracle Exadata, which can improve call data record query performance by 10x or more. Supporting Quotes "Oracle Communications Data Model covers a wide range of business areas that are relevant to modern communications service providers and is a comprehensive solution - with its data model and pre-packaged templates including BI dashboards, KPIs, OLAP cubes and mining models. It helps us save a great deal of time in building and implementing a customized data warehouse and enables us to leverage the advanced analytics quickly and more effectively," said Yasuki Hayashi, executive manager, NTT Comware Corporation. "Data volumes will only continue to grow as communications service providers expand next-generation networks, deploy new services and adopt new business models. They will increasingly need efficient, reliable data warehouses to capture key insights on data such as customer value, network value and churn probability. With the Oracle Communications Data Model, Oracle has demonstrated its commitment to meeting these needs by delivering data warehouse tools designed to fill communications industry-specific needs," said Elisabeth Rainge, program director, Network Software, IDC. "The TM Forum Conformance Mark provides reassurance to customers seeking standards-based, and therefore, cost-effective and flexible solutions. TM Forum is extremely pleased to work with Oracle to certify its Oracle Communications Data Model solution. Upon successful completion, this certification will represent the broadest and most complete implementation of the TM Forum Information Framework to date, with more than 130 aggregate business entities," said Keith Willetts, chairman and chief executive officer, TM Forum. Supporting Resources Oracle Communications Oracle Communications Data Model Data Sheet Oracle Communications Data Model Podcast Oracle Data Warehousing Oracle Communications on YouTube Oracle Communications on Delicious Oracle Communications on Facebook Oracle Communications on Twitter Oracle Communications on LinkedIn Oracle Database on Twitter The Data Warehouse Insider Blog

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  • Master Note for Generic Data Warehousing

    - by lajos.varady(at)oracle.com
    ++++++++++++++++++++++++++++++++++++++++++++++++++++ The complete and the most recent version of this article can be viewed from My Oracle Support Knowledge Section. Master Note for Generic Data Warehousing [ID 1269175.1] ++++++++++++++++++++++++++++++++++++++++++++++++++++In this Document   Purpose   Master Note for Generic Data Warehousing      Components covered      Oracle Database Data Warehousing specific documents for recent versions      Technology Network Product Homes      Master Notes available in My Oracle Support      White Papers      Technical Presentations Platforms: 1-914CU; This document is being delivered to you via Oracle Support's Rapid Visibility (RaV) process and therefore has not been subject to an independent technical review. Applies to: Oracle Server - Enterprise Edition - Version: 9.2.0.1 to 11.2.0.2 - Release: 9.2 to 11.2Information in this document applies to any platform. Purpose Provide navigation path Master Note for Generic Data Warehousing Components covered Read Only Materialized ViewsQuery RewriteDatabase Object PartitioningParallel Execution and Parallel QueryDatabase CompressionTransportable TablespacesOracle Online Analytical Processing (OLAP)Oracle Data MiningOracle Database Data Warehousing specific documents for recent versions 11g Release 2 (11.2)11g Release 1 (11.1)10g Release 2 (10.2)10g Release 1 (10.1)9i Release 2 (9.2)9i Release 1 (9.0)Technology Network Product HomesOracle Partitioning Advanced CompressionOracle Data MiningOracle OLAPMaster Notes available in My Oracle SupportThese technical articles have been written by Oracle Support Engineers to provide proactive and top level information and knowledge about the components of thedatabase we handle under the "Database Datawarehousing".Note 1166564.1 Master Note: Transportable Tablespaces (TTS) -- Common Questions and IssuesNote 1087507.1 Master Note for MVIEW 'ORA-' error diagnosis. For Materialized View CREATE or REFRESHNote 1102801.1 Master Note: How to Get a 10046 trace for a Parallel QueryNote 1097154.1 Master Note Parallel Execution Wait Events Note 1107593.1 Master Note for the Oracle OLAP OptionNote 1087643.1 Master Note for Oracle Data MiningNote 1215173.1 Master Note for Query RewriteNote 1223705.1 Master Note for OLTP Compression Note 1269175.1 Master Note for Generic Data WarehousingWhite Papers Transportable Tablespaces white papers Database Upgrade Using Transportable Tablespaces:Oracle Database 11g Release 1 (February 2009) Platform Migration Using Transportable Database Oracle Database 11g and 10g Release 2 (August 2008) Database Upgrade using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007) Platform Migration using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007)Parallel Execution and Parallel Query white papers Best Practices for Workload Management of a Data Warehouse on the Sun Oracle Database Machine (June 2010) Effective resource utilization by In-Memory Parallel Execution in Oracle Real Application Clusters 11g Release 2 (Feb 2010) Parallel Execution Fundamentals in Oracle Database 11g Release 2 (November 2009) Parallel Execution with Oracle Database 10g Release 2 (June 2005)Oracle Data Mining white paper Oracle Data Mining 11g Release 2 (March 2010)Partitioning white papers Partitioning with Oracle Database 11g Release 2 (September 2009) Partitioning in Oracle Database 11g (June 2007)Materialized Views and Query Rewrite white papers Oracle Materialized Views  and Query Rewrite (May 2005) Improving Performance using Query Rewrite in Oracle Database 10g (December 2003)Database Compression white papers Advanced Compression with Oracle Database 11g Release 2 (September 2009) Table Compression in Oracle Database 10g Release 2 (May 2005)Oracle OLAP white papers On-line Analytic Processing with Oracle Database 11g Release 2 (September 2009) Using Oracle Business Intelligence Enterprise Edition with the OLAP Option to Oracle Database 11g (July 2008)Generic white papers Enabling Pervasive BI through a Practical Data Warehouse Reference Architecture (February 2010) Optimizing and Protecting Storage with Oracle Database 11g Release 2 (November 2009) Oracle Database 11g for Data Warehousing and Business Intelligence (August 2009) Best practices for a Data Warehouse on Oracle Database 11g (September 2008)Technical PresentationsA selection of ObE - Oracle by Examples documents: Generic Using Basic Database Functionality for Data Warehousing (10g) Partitioning Manipulating Partitions in Oracle Database (11g Release 1) Using High-Speed Data Loading and Rolling Window Operations with Partitioning (11g Release 1) Using Partitioned Outer Join to Fill Gaps in Sparse Data (10g) Materialized View and Query Rewrite Using Materialized Views and Query Rewrite Capabilities (10g) Using the SQLAccess Advisor to Recommend Materialized Views and Indexes (10g) Oracle OLAP Using Microsoft Excel With Oracle 11g Cubes (how to analyze data in Oracle OLAP Cubes using Excel's native capabilities) Using Oracle OLAP 11g With Oracle BI Enterprise Edition (Creating OBIEE Metadata for OLAP 11g Cubes and querying those in BI Answers) Building OLAP 11g Cubes Querying OLAP 11g Cubes Creating Interactive APEX Reports Over OLAP 11g CubesSelection of presentations from the BIWA website:Extreme Data Warehousing With Exadata  by Hermann Baer (July 2010) (slides 2.5MB, recording 54MB)Data Mining Made Easy! Introducing Oracle Data Miner 11g Release 2 New "Work flow" GUI   by Charlie Berger (May 2010) (slides 4.8MB, recording 85MB )Best Practices for Deploying a Data Warehouse on Oracle Database 11g  by Maria Colgan (December 2009)  (slides 3MB, recording 18MB, white paper 3MB )

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  • Big Data – How to become a Data Scientist and Learn Data Science? – Day 19 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the analytics in Big Data Story. In this article we will understand how to become a Data Scientist for Big Data Story. Data Scientist is a new buzz word, everyone seems to be wanting to become Data Scientist. Let us go over a few key topics related to Data Scientist in this blog post. First of all we will understand what is a Data Scientist. In the new world of Big Data, I see pretty much everyone wants to become Data Scientist and there are lots of people I have already met who claims that they are Data Scientist. When I ask what is their role, I have got a wide variety of answers. What is Data Scientist? Data scientists are the experts who understand various aspects of the business and know how to strategies data to achieve the business goals. They should have a solid foundation of various data algorithms, modeling and statistics methodology. What do Data Scientists do? Data scientists understand the data very well. They just go beyond the regular data algorithms and builds interesting trends from available data. They innovate and resurrect the entire new meaning from the existing data. They are artists in disguise of computer analyst. They look at the data traditionally as well as explore various new ways to look at the data. Data Scientists do not wait to build their solutions from existing data. They think creatively, they think before the data has entered into the system. Data Scientists are visionary experts who understands the business needs and plan ahead of the time, this tremendously help to build solutions at rapid speed. Besides being data expert, the major quality of Data Scientists is “curiosity”. They always wonder about what more they can get from their existing data and how to get maximum out of future incoming data. Data Scientists do wonders with the data, which goes beyond the job descriptions of Data Analysist or Business Analysist. Skills Required for Data Scientists Here are few of the skills a Data Scientist must have. Expert level skills with statistical tools like SAS, Excel, R etc. Understanding Mathematical Models Hands-on with Visualization Tools like Tableau, PowerPivots, D3. j’s etc. Analytical skills to understand business needs Communication skills On the technology front any Data Scientists should know underlying technologies like (Hadoop, Cloudera) as well as their entire ecosystem (programming language, analysis and visualization tools etc.) . Remember that for becoming a successful Data Scientist one require have par excellent skills, just having a degree in a relevant education field will not suffice. Final Note Data Scientists is indeed very exciting job profile. As per research there are not enough Data Scientists in the world to handle the current data explosion. In near future Data is going to expand exponentially, and the need of the Data Scientists will increase along with it. It is indeed the job one should focus if you like data and science of statistics. Courtesy: emc Tomorrow In tomorrow’s blog post we will discuss about various Big Data Learning resources. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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