File Server Is Enforcing File Consistency For' title='File Server Is Enforcing File Consistency For' />Apache HBase Reference Guide. HBase provides several tools for administration, analysis, and debugging of your cluster. The entry point to most of these tools is the binhbase command, though some tools are available in the dev support directory. To see usage instructions for binhbase command, run it with no arguments, or with the h argument. These are the usage instructions for HBase 0. Avviso. La terminazione di handle di file aperti pu causare la perdita dei dati non salvati da parte degli utenti. Killing open file handles may cause users to lose. Sql server interview questions and answers for freshers and experienced, SQL Server interview questions pdf, SQL Server online test, SQL server Jobs. Abstract. This specification defines a JSONbased manifest file that provides developers with a centralized place to put metadata associated with a web. This document describes the Command Line Interface CLI commands that are available for Cisco Unified Communications Operating System. Some commands, such as version, pe, ltt, clean, are not available in previous versions. Usage hbase lt options lt command lt args. DIR Configuration direction to use. Default. conf. hosts HOSTS Override the list in regionservers file. Some commands take arguments. Pass no args or h for usage. Run the HBase shell. Run the hbase fsck tool. Write ahead log analyzer. Store file analyzer. Run the Zoo. Keeper shell. Sphinx is a fulltext search engine, publicly distributed under GPL version 2. Commercial licensing eg. Technical blog about Linux, Security, Networking and IT. Study guides for RHCE, LPIC and more. Upgrade hbase. master Run an HBase HMaster node. Run an HBase HRegion. Server node. zookeeper Run a Zoo. Keeper server. rest Run an HBase REST server. Run the HBase Thrift server. File Server Is Enforcing File Consistency For' title='File Server Is Enforcing File Consistency For' />Run the HBase Thrift. Run the HBase clean up script. Dump hbase CLASSPATH. Dump CLASSPATH entries required by mapreduce. Run Performance. Evaluation. Run Load. Test. Tool. Print the version. CLASSNAME Run the class named CLASSNAMESome of the tools and utilities below are Java classes which are passed directly to the binhbase command, as referred to in the last line of the usage instructions. Others, such as hbase shell The Apache HBase Shell, hbase upgrade Upgrading, and hbase thrift Thrift API and Filter Language, are documented elsewhere in this guide. Canary. There is a Canary class can help users to canary test the HBase cluster status, with every column family for every regions or Region. Servers granularity. To see the usage, use the help parameter. HBASEHOMEbinhbase canary help. Usage binhbase org. Canary opts table. Show this help and exit. Continuous check at defined intervals. N Interval between checks sec. Use regionregionserver as regular expression. B stop whole program if first error occurs, default is true. N timeout for a check, default is 6. Sniffing enable the write sniffing in canary. Failure. As. Error treats read write failure as error. Table The table used for write sniffing. Default is hbase canary. Dlt config. Property lt value assigning or override the configuration params. This tool will return non zero error codes to user for collaborating with other monitoring tools, such as Nagios. The error code definitions are privatestaticfinalint USAGEEXITCODE 1. INITERROREXITCODE 2. TIMEOUTERROREXITCODE 3. ERROREXITCODE 4 Here are some examples based on the following given case. There are two Table objects called test 0. Region. Servers. see following table. Region. Servertest 0. Following are some examples based on the previous given case. Canary test for every column family store of every region of every table HBASEHOMEbinhbase canary. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. INFO tool. Canary read from region test 0. So you can see, table test 0. Canary tool will pick 4 small piece of data from 4 2 region 2 store different stores. This is a default behavior of the this tool does. Canary test for every column family store of every region of specific tablesYou can also test one or more specific tables. HBASEHOMEbinhbase canary test 0. Canary test with Region. Server granularity. This will pick one small piece of data from each Region. Server, and can also put your Region. Server name as input options for canary test specific Region. Server. HBASEHOMEbinhbase canary regionserver. INFO tool. Canary Read from table test 0. INFO tool. Canary Read from table test 0. INFO tool. Canary Read from table test 0. Canary test with regular expression pattern. This will test both table test 0. HBASEHOMEbinhbase canary e test 01 21. Run canary test as daemon mode. Run repeatedly with interval defined in option interval whose default value is 6 seconds. This daemon will stop itself and return non zero error code if any error occurs, due to the default value of option f is true. HBASEHOMEbinhbase canary daemon. Run repeatedly with internal 5 seconds and will not stop itself even if errors occur in the test. HBASEHOMEbinhbase canary daemon interval 5. Force timeout if canary test stuck. In some cases the request is stuck and no response is sent back to the client. This can happen with dead Region. Servers which the master has not yet noticed. Because of this we provide a timeout option to kill the canary test and return a non zero error code. This run sets the timeout value to 6. HBASEHOMEbinhbase canary t 6. Enable write sniffing in canary. By default, the canary tool only check the read operations, its hard to find the problem in the. To enable the write sniffing, you can run canary with the write. Sniffing option. When the write sniffing is enabled, the canary tool will create an hbase table and make sure the. In each sniffing period, the canary will. HBASEHOMEbinhbase canary write. Sniffing. The default write table is hbase canary and can be specified by the option write. Table. HBASEHOMEbinhbase canary write. Sniffing write. Table ns canary. The default value size of each put is 1. Treat read write failure as error. By default, the canary tool only logs read failure, due to e. Retries. Exhausted. Exception. while returning normal exit code. To treat read write failure as error, you can run canary. Failure. As. Error option. When enabled, read write failure would result in error. HBASEHOMEbinhbase canary treat. Failure. As. Error. Running Canary in a Kerberos enabled Cluster. To run Canary in a Kerberos enabled cluster, configure the following two properties in hbase site. Kerberos credentials are refreshed every 3. Canary runs in daemon mode. To configure the DNS interface for the client, configure the following optional properties in hbase site. Example 5. 6. Canary in a Kerberos Enabled Cluster. This example shows each of the properties with valid values. HOSTYOUR REALM. COMlt value lt property lt property lt name hbase. Health Checker. You can configure HBase to run a script periodically and if it fails N times configurable, have the server exit. See HBASE 7. 35. Periodic health check script for configurations and detail. Driver. Several frequently accessed utilities are provided as Driver classes, and executed by the binhbase command. These utilities represent Map. Reduce jobs which run on your cluster. They are run in the following way, replacing Utility. Name with the utility you want to run. International Airline Program Amex Canada on this page. This command assumes you have set the environment variable HBASEHOME to the directory where HBase is unpacked on your server. HBASEHOMEbinhbase org. Utility. Name. The following utilities are available Load. Incremental. HFiles. Complete a bulk data load. Copy. Table. Export a table from the local cluster to a peer cluster. Export. Write table data to HDFS. Import. Import data written by a previous Export operation. Import. Tsv. Import data in TSV format. About Sql Server Database design and development with Microsoft Sql Server. We, SQL Server professionals, like Enterprise Edition. It has many bells and whistles that make our life easier and less stressful. We wish to have Enterprise Edition installed on every server. Unfortunately, customers do not always share our opinions they want to save money. More often than not, they choose to go with the Standard Edition, which is significantly less expensive. From performance standpoint, Standard Edition would suffice in many cases. Even though it lacks several nice features, it would work just fine even in large and busy systems. I dealt with many multi TB installations that handled thousands transactions per second using Standard Edition of SQL Server. Nevertheless, Standard edition lacks many of availability features offered in Enterprise Edition. Most important is index management. You cannot rebuild indexes keeping the table online. There are some tricks that can help reducing index rebuild time however, it would not help much with the large tables. This limitation has another interesting implication. In Standard Edition you cannot rebuild the indexes moving data to another filegroup transparently to the users. One of the cases when such an ability is very important is changing the database disk layout when you are upgrading disk subsystem. Obviously, it is very easy to do offline this is just the matter of copying database files. However, even with the fast disk subsystem, that can take hours in multi TB databases, which could violate your availability SLA. This is especially critical with the Cloud installations where IO subsystem is usually the biggest bottleneck due to the bad IO performance. The situation, however, is starting to change. Both, Microsoft Azure and Amazon AWS now offer fast SSD based IO solutions for very reasonable price. Unfortunately, the old installations were usually deployed to the old and slow disks and upgrading to the new drives will often lead to the hours of the downtime. Fortunately, you can move data to the different disk arrays almost transparently to the users even in non Enterprise Editions of SQL Servers. There are two ways how to accomplish it. The first one is very simple and can be done if system uses database mirroring. It requires failovers and secondary server downtime, which could lead to the data loss in case of disaster. The second approach works without the mirroring. It is slow, it generates large amount of transaction log records, it introduces huge index fragmentation however, it keeps database online most of the time. There is still the downtime involved although, it could be limited to just a few minutes. It will work in any SQL Server version and edition well, to be frank, I have not tried it in SQL Server 2. Lets look at both of those approaches in details. Moving database files with mirroring Involved. Database mirroring and, as matter of fact, Always On Availability Groups rely on the stream of transaction log records. Secondary servers apply the changes in the data files using file and page IDs as the reference. With exception of database file related operations, for example file creation, primary and secondary servers do not need to store database files in the same location it is possible to use different disk and folder structure on the servers. You can rely on this behavior if you need to move database files to the different drives. You can run ALTER DATABASE MODIFY FILEFILENAME. Everything will continue run normally those changes would not take place until the next database restart. Unfortunately, you cannot take database that participate in the mirroring session offline and you need to shut down entire instance of SQL Server. After that, you can physically move database files to the new location. On the primary server, the database mirroring will switch to the DISCONNECTED state. The database will continue to be available to the clients however, it remains unprotected all changes will be lost in case of disaster. You need to remember that file copy operation can take hours and you need to evaluate if you can take such a risk. It is also worth to mention that transaction log on the primary would not truncate and continue to grow even after log backups SQL Server needs to retain the log records until they sent to the secondary server. After the file copy operation is completed, you can start the instance the primary database will switch to SYNCHRONIZING state and wait until all log records have been transmitted to the secondary SYNCHRONIZED state. Then, you can failover and wash, rinse and repeat the process on the former primary server. To summarize, this process is very simple and transparent to the client applications. It is the good choice as long as you can afford the instance downtime and possibility of  data loss in case of disaster. If this is not the case, you will have to use much more complicated approach. When mirroring is not an option. We need to create the new data files in the secondary filegroups and shrink existing files by using DBCC SHRINKFILEEMPTYFILE command. This will move data from old to the new data files. Next, we need to repeat the same process with the primary filegroup. You cannot remove primary MDF file from the database although, you can make it very small and move all data from there. Next, we need to shrink the transaction log. Finally, we need to copy MDF and LDF files to the new location. This is offline operation however, both, MDF and LDF data files are small at this point and downtime is minimal. Lets look at the process in details. As the first step, lets create the test database with two filegroups and populate it with some data. For the demo purposes, I am assuming that C Old. Drive folder represents old and C New. Drive new disk arrays respectively. Data. Movement. Demo. NData. Movement. Demo, filename NC Old. DriveData. Movement. Demo. mdf, size 1. MB, filegrowth 5. MB. filegroup Secondary. NData. Movement. DemoSecondary. NC Old. DriveData. Movement. DemoSecondary. MB, filegrowth 5. MB. name NData. Movement. DemoSecondary. NC Old. DriveData. Movement. DemoSecondary. MB, filegrowth 5. MB. name NData. Movement. Demolog, filename NC Old. DriveData. Movement. Demolog. ldf, size 5. MB, filegrowth 5. MB. alter database Data. Movement. Demo set recovery full. Data. Movement. Demo. Data. On. Primary. ID int not null. Placeholder char8. PKData. On. Primary. ID. on Primary. Data. On. Secondary. ID int not null. Placeholder char8. PKData. On. Secondary. ID. on Secondary. N1C as select 0 union all select 0 2 rows. N2C as select 0 from N1 as T1 cross join N1 as T2 4 rows. N3C as select 0 from N2 as T1 cross join N2 as T2 1. N4C as select 0 from N3 as T1 cross join N3 as T2 2. N5C as select 0 from N4 as T1 cross join N4 as T2 6. NumsNum as select rownumber over order by select null from N5. Data. On. PrimaryID. Num from Nums. insert into dbo. Data. On. SecondaryID. ID from dbo. Data. On. Primary We can check the size of the data and log files along with their free space with the code below. File. Name. ,fg. File. Group. ,f. Path. ,f. Current. Size. MB. Space. Used. Used. Space. MB. Space. Used. Free. Space. Mb. Figure 1 shows the output of the statement.