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The newest Oracle critical Patch update is the largest thus far, with 248 fixes masking 24 product strains.
The Oracle important Patch update software has been ongoing for 11 years, releasing patches four instances a 12 months. The safety fixes cover 24 distinctive product traces together with but now not restricted to Oracle Database, Java SE, PeopleSoft, JD Edwards, Fusion Middleware, Fusion functions, Oracle GoldenGate and E-company Suite.
however Oracle's weblog keeps its tone light concerning the critical Patch update, some of the vulnerabilities seem like serious. for example, Oracle GoldenGate has three safety vulnerabilities which are remotely purchasable, two of which expense the highest possible probability degree on the common Vulnerability Scoring device (CVSS).
Oracle makes use of the country wide Vulnerability Database's CVSS edition 2 to document the chance posed by means of safety vulnerabilities. The CVSS ranking is generated in response to the entry vector, entry complexity, authentication, confidentiality, integrity and availability. It quotes vulnerabilities on a scale of 10. A rating of 0 to 3.9 represents a low chance, while four to 6.9 represents a medium risk and seven to 10 represents a high probability. The Oracle GoldenGate vulnerabilities cost at 10.0, 10.0 and 5.0. in the Oracle Database, a vulnerability in the Oracle Java VM has a ranking of 9.0. no longer the entire CVSS rankings are equally excessive. One MySQL Server vulnerability prices best a 1.7 on the CVSS scale.
Oracle recommends making use of the vital Patch update as soon as possible and to dwell on actively supported models of Oracle. probably the most vulnerabilities affect existing models of Oracle products, but some have an effect on older items. So, it be also important to examine for out of date versions of Oracle items left on the server and remove them earlier than they become protection vulnerabilities. furthermore, Oracle advises making sure that security alert for November 10, 2015 -- CVE-2015-4852 -- has already been applied and, if now not, making use of the fixes or performing the configurations.
The subsequent Oracle vital Patch replace can be April 19.
Oracle these days announced a slew of recent cloud services at its OpenWorld adventure in San Francisco nowadays, including the Oracle Elastic Compute Cloud. The launch comes 9 years after Amazon humbly launched EC2, which has turn into a typical in cloud infrastructure.
Oracle executives have up to now said offering infrastructure as a service — whatever thing that could rival the likes of Amazon net features, which has grown from the EC2 side company into a business unit that now produces $2 billion in income in a single quarter. however now there's an specific IaaS provider with actual expenditures. right here’s a product description from today’s press unlock:
Oracle Elastic Compute Cloud: provides customers with two selections: Elastic Compute and committed Compute. Elastic Compute allows purchasers to leverage elastic compute capabilities to run any workload within the cloud in a shared compute zone. The committed Compute providing also presents valued clientele elasticity however with brought ability such CPU pinning and complete network isolation provides predictable, consistent performance without a noisy neighbors. The Compute Cloud is at ease, business-grade, entirely configurable and gives powerful monitoring capabilities. It helps a number of distinctive working programs including Linux and home windows.
It’s going to take a lot — global data middle infrastructure, rate cuts, a wide array of instances — to show Oracle right into a cloud issuer that may definitely compete with Amazon net services or public clouds from companies like Microsoft, Google, and IBM. It doesn’t bode neatly that HP just bowed out of this business. but that’s how issues are at the present time.
picture credit: Screenshot
at least Oracle is asserting an entire bunch of recent services these days.
in addition to launching the Elastic Compute Cloud — the same accurate name as Amazon, by the way — Oracle is additionally saying the new Archive Storage carrier, a File Storage carrier (NFS v4), a network Cloud provider (VPN, etc.), and even the Oracle Container Cloud for deploying purposes packaged up in containers as a substitute of more ordinary digital machines.
Oracle additionally has new massive data features available in its cloud: the Oracle huge facts coaching Cloud provider, the Oracle GoldenGate Cloud service, Oracle big statistics Discovery Cloud service, and the Oracle NoSQL Database Cloud provider.
however wait, there’s extra! An application efficiency Monitoring Cloud service. A Log Analytics Cloud service. An IT Analytics Cloud carrier.
closing year Oracle introduced the object Storage Cloud service. Amazon also launched its preliminary storage provider, S3, before releasing its core compute service.
A greater rounded-out portfolio may still support in Oracle’s cloud crusade. It’s not Oracle’s core competency, notwithstanding — databases and, extra lately, hardware are king on the legacy tech supplier. Time will inform how large the Oracle cloud will become.
As Samsung updates its statistics center line of drives it's handy to get enamored through the fastest or greatest drives that come alongside, particularly NVMe drives. there is, despite the fact, nonetheless a huge market for SATA interface drives. For this phase Samsung has launched its new Samsung 883 DCT SATA SSD. the new pressure is aimed at meeting the demands of server storage programs while giving the assurance of conclusion-to-conclusion information coverage.
constructed off of Samsung’s tried and authentic V-NAND, the 883 DCT comes with highest efficiency of up to 560MB/s examine, 520MB/s write, and throughput as much as 98K IOPS study and 28K IOPS write. The force is additionally optimized to hit a high stage of QoS under the SATA interface. The drive is available in five capacities ranging from as low as 240GB to three.84TB.
statistics coverage is of the utmost significance in the facts center. With this in intellect, Samsung states its 883 DCT is safeguarded with conclusion-to-conclusion information coverage. The force supports AES 256-bit encryption. And from an endurance viewpoint, has a median time between screw ups of two million hours.
The Samsung 883 DCT SATA SSD comes with a 5-yr restrained or 0.eight DWPD assurance. For this evaluation they may be searching at the three.84TB skill.Samsung 883 DCT SATA SSD necessities kind element7mm, 2.5” Interface SATA 6.0Gbps NAND Samsung V-NAND capability three.84TB 1.92TB 960GB 480GB 240GB performanceSequential examine (128KB) up to 560MB/s up to 560MB/s as much as 560MB/s as much as 560MB/s up to 560MB/s Sequential Write (128KB) as much as 520MB/s as much as 520MB/s up to 520MB/s up to 520MB/s as much as 320MB/s Random read (4KB, QD32) as much as 98K IOPS as much as 98K IOPS up to 98K IOPS as much as 98K IOPS as much as 98K IOPS Random Write (4KB, QD32) up to 28K IOPS as much as 28K IOPS up to 28K IOPS as much as 24K IOPS up to 14K IOPS QoS read (99.99%, 4KB, QD1) up to 0.5ms as much as 0.5ms up to 0.5ms up to 0.5ms as much as 0.5ms QoS Write (99.ninety nine%, 4KB, QD1) as much as 0.3ms as much as 0.3ms up to 0.3ms up to 0.3ms as much as 0.3ms Encryption assistAES 256-bit Encryption Engine endurance MTBF 2 million hours UBER 1 sector per 10^17 bits read guaranty5-year constrained or 0.8 DWPD whichever comes first vigor consumptionactive able general as much as 3.6W active Write general as much as 2.3W Idle up to 1.3W Allowable voltage 5.0V ± 5% operating Temperature 0-70°C shock1500G, duration 0.5ms, Half Sine Wave actual Dimensions (WxDxH) Max. 100.2 x 69.eighty five x 6.eight (mm) Weight Max. 70g efficiency
Our business SSD stories leverage a Dell PowerEdge R740xd for artificial benchmarks. artificial assessments that do not require loads of CPU elements use the more normal dual-processor server. In both circumstances, the intent is to showcase native storage within the most useful gentle feasible that aligns with storage seller optimum force specs.
Dell PowerEdge R740xd
The StorageReview business look at various Lab offers a versatile structure for conducting benchmarks of enterprise storage instruments in an atmosphere comparable to what administrators stumble upon in real deployments. The business check Lab contains loads of servers, networking, power conditioning, and different community infrastructure that permits their group of workers to set up true-world circumstances to accurately gauge performance all the way through their stories.
We contain these details concerning the lab ambiance and protocols into stories in order that IT professionals and people liable for storage acquisition can take note the circumstances under which they now have completed right here results. None of their studies are paid for or overseen with the aid of the manufacturer of equipment they are checking out. extra details in regards to the StorageReview commercial enterprise test Lab and a top level view of its networking capabilities are available on those respective pages.
utility Workload analysis
with a purpose to keep in mind the efficiency traits of business storage devices, it's simple to mannequin the infrastructure and the application workloads present in reside-construction environments. Their benchmarks for the Samsung 883 DCT are for this reason the MySQL OLTP performance by way of SysBench and Microsoft SQL Server OLTP efficiency with a simulated TCP-C workload. For their application workloads, every power could be operating 2-4 identically configured VMs.
SQL Server performance
every SQL Server VM is configured with two vDisks: 100GB extent for boot and a 500GB extent for the database and log files. From a device-aid perspective, they configured every VM with sixteen vCPUs, 64GB of DRAM and leveraged the LSI good judgment SAS SCSI controller. while their Sysbench workloads proven in the past saturated the platform in each storage I/O and potential, the SQL verify is trying to find latency performance.
This examine makes use of SQL Server 2014 working on windows Server 2012 R2 guest VMs, and is stressed out by means of Quest's Benchmark factory for Databases. StorageReview’s Microsoft SQL Server OLTP checking out protocol employs the latest draft of the Transaction Processing efficiency Council’s Benchmark C (TPC-C), an online transaction-processing benchmark that simulates the activities present in advanced application environments. The TPC-C benchmark comes closer than synthetic efficiency benchmarks to gauging the efficiency strengths and bottlenecks of storage infrastructure in database environments. each illustration of their SQL Server VM for this evaluate uses a 333GB (1,500 scale) SQL Server database and measures the transactional performance and latency below a load of 15,000 virtual clients.
SQL Server testing Configuration (per VM)
For their SQL Server transactional benchmark, the Samsung 883 DCT took the excellent spot with 6,291.eight TPS.
a stronger indication of SQL Server efficiency is latency in comparison to TPS. right here they see the 883 DCT have the lowest latency as well with only 25ms.
The next utility benchmark includes a Percona MySQL OLTP database measured by the use of SysBench. This verify measures typical TPS (Transactions Per 2nd), commonplace latency, and general 99th percentile latency as well.
each Sysbench VM is configured with three vDisks: one for boot (~92GB), one with the pre-constructed database (~447GB), and the third for the database under examine (270GB). From a device-resource viewpoint, they configured every VM with 16 vCPUs, 60GB of DRAM and leveraged the LSI good judgment SAS SCSI controller.
Sysbench trying out Configuration (per VM)
With the Sysbench transactional benchmark, the 883 DCT as soon as once more had the good performance by way of a fair margin with 2,181.1 TPS.
Sysbench typical latency also had the 883 DCT within the lead with 58.7ms.
For their worst-case situation latency (99th percentile) the 883 DCT once again took the proper spot with most effective 103.5ms latency.
VDBench Workload analysis
When it comes to benchmarking storage contraptions, application testing is most efficient, and synthetic testing comes in second location. whereas not a perfect illustration of specific workloads, synthetic assessments do aid to baseline storage contraptions with a repeatability element that makes it effortless to do apples-to-apples comparison between competing solutions. These workloads offer a number of diverse checking out profiles ranging from "four corners" assessments, usual database transfer measurement checks, to trace captures from different VDI environments. All of those tests leverage the standard vdBench workload generator, with a scripting engine to automate and trap outcomes over a large compute checking out cluster. This permits us to repeat the equal workloads across a wide array of storage gadgets, including flash arrays and individual storage devices. Their checking out procedure for these benchmarks fills the whole pressure surface with facts, then partitions a force part equal to 25% of the pressure potential to simulate how the drive could reply to utility workloads. here's different than full entropy checks which use 100% of the power and take them into constant state. as a result, these figures will replicate larger-sustained write speeds.
In their first VDBench Workload evaluation, Random 4K read, the Samsung 883 DCT stayed below 1ms latency until about 72K IOPS and went on to have a peak performance of about 79K IOPS at 1.3ms latency earlier than falling off some just in the back of the good performing Toshiba HK4R.
For 4K random write the 883 DCT had sub-millisecond latency performance except about 58K IOPS and tied with the 860 DCT at peak efficiency of 63,764 IOPS with a latency of 2ms.
next they look at their sequential workloads. For 64K study the 883 DCT had sub-millisecond latency until about 6,900 IOPS or about 410MB/s earlier than happening to peak in the suitable spot at 7,865 IOPS or 491.6MB/s with 2.03ms latency.
With 64K sequential write they saw the 883 DCT have the lowest latency the longest before going over 1ms at round 4,600 IOPS or 280MB/s before going on to height at 2d location behind the Seagate Nytro with 5,043 IOPS or 315.2MB/s with a latency of 3.16ms.
Our subsequent batch of benchmarks center of attention on SQL workloads. For the all the benchmarks the Samsung 883 DCT turned into able to deliver sub-millisecond latency efficiency right through. The 883 DCT took the true spot with a peak efficiency of 48,472 IOPS with a latency of 657.6μs.
For SQL ninety-10 the 883 DCT once once more took the proper spot with a height efficiency of 48,703 IOPS and a latency of 655.7μs.
SQL eighty-20 noticed the 883 DCT take the suitable spot by using the largest margin yet with a peak rating of 47,578 IOPS and a latency of 671.1μs.
moving onto Oracle Workloads once once more they see the 883 DCT perform at sub-millisecond latencies for all exams. For the Oracle workload the 883 DCT peaked in the correct spot at 42,262 IOPS and 726.2μs latency before losing off a little bit.
Oracle ninety-10 had the 883 DCT in the excellent spot once once again with a peak performance of forty five,680 IOPS and a latency of 480.3μs.
The 883 DCT retained its suitable spot for the Oracle eighty-20 test peaking at forty five,989 IOPS with a latency of 476.5μs.
subsequent, they movement on to their VDI clone check, Full and Linked. For VDI Full Clone Boot, the 883 DCT became the appropriate performer with a latency that rode beneath 1ms nearly until it peaked. speakme of peak, the power had a right ranking of 30,112 IOPS and a latency of 1.06ms.
For VDI FC initial Login the 883 DCT noticed a further long stretch of sub-millisecond latency performance earlier than peaking means out within the lead with 17,811 IOPS and 1.67ms for latency.
VDI FC Monday Login noticed the 883 DCT as the desirable performer with the aid of a large margin and the best pressure to keep sub-millisecond latency during with a peak rating of 16,262 IOPS and a latency of 979.4μs.
For the VDI Linked Clone (LC) they delivery as soon as once again with the boot examine. here the 883 DCT maintained sub-millisecond latency all over however simply lost out in peak efficiency to the Toshiba HK4R. The 883 DCT’s peak rating became sixteen,025 IOPS with a latency of 995μs.
In their VDI LC initial Login, the 883 DCT took returned the suitable spot and as soon as once again was the best force to have sub-millisecond latency all over. The drive peaked at 10,528 IOPS with a latency of 756.2μs.
ultimately in the VDI LC Monday Login the 883 DCT become the excellent performer by a wide margin with a top performance of eleven,422 IOPS and a latency of 1.4ms.
Designed for severs and combined workloads, the Samsung 883 DCT is a SATA interface SSD for facts centers. The force is available in assorted capacities: 240GB, 480GB, 960GB, 1.92TB, and 3.84TB. The 883 DCT leverages Samsung V-NAND with performance quoted as high as 560MB/s study and throughput as high as 98K IOPS. The pressure has end-to-conclusion records protection in-built to carry security to those that need it the most.
When performance, the Samsung 883 DCT SSD impressed from starting to conclusion in their trying out. In their utility Workload analysis the 883 DCT became appropriate right through all exams. In SQL Server the drive had a TPS score of 6,291.8 and an average latency of 25ms. With Sysbench the Samsung force hit 2,181.1 TPS, a normal latency of 58.7ms, and a worst-case situation latency of 103.5ms.
With VDBench the 883 DCT didn’t dominate throughout nevertheless it became within the right for many of the tests. one of the most highlights are 79K IOPS 4K examine, 64K IOPS 4K write, 491MB/s 64K study, and 315MB/s 64K write. In SQL and Oracle the 883 DCT had sub-millisecond latency efficiency throughout. In SQL the 883 DCT had the precise spot in all test with top ratings of 48K IOPS, 49K IOPS in SQL ninety-10, and 48K IOPS in SQL eighty-20. Oracle additionally noticed the power in the precise spots with 42K IOPS, 46K IOPS Oracle ninety-10, and 46K IOPS for Oracle ninety-10. In their clone examine the Samsung 883 DCT really shined in initial Login and Monday Login of both their Full and Linked shut tests.
The Samsung 883 DCT is a fantastic power for those that leverage SATA and want legit storage of their servers. no longer best does the force come in a number of capacities including a excellent potential of three.84TB, its performance is near or at the properly of their SATA commercial enterprise SSDs.
Samsung 883 DCT Product page
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In the billing migration blog post published a few weeks ago, they explained the overall approach employed in migrating their billing system to the cloud:
In this post, the database migration portion will be covered in detail. They hope that their experiences will help you as you undertake your own migrations.
Have you ever wondered about the elements that need to come together and align to get a complicated database migration right? You might ask, “What makes it complicated?”
Think of any challenge in database migration and pretty much all of them were there in this migration:
Billing, as most of you would agree, is the critical service for any company. The database is the most essential element in any migration and getting it right determines the success or failure of the whole project. The Netflix CDE (Cloud Database Engineering) team was tasked with migrating this critical subsystem database. The following sections describe some of key areas they focused on in order to ensure a successful migration.Choice of the database
Billing applications have transactions that need ACID compliance to process the payment for charged transactions. RDBMS seemed the right choice for the datastore.
Oracle: As source database was in Oracle, migrating to Oracle in Cloud would avoid cross database migration, simplifying the coding effort and configuration setup. Their experience with Oracle in production gave more confidence with respect to its performance and scalability. However, considering the licensing costs and the technical debt required to migrate legacy data “as is”, prompted us to explore other options.
AWS RDS MySQL: Ideally they would have gone with MySQL RDS as their backend, considering Amazon does a great job in managing and upgrading relational database as a service, providing multi-AZ support for high availability. However, the main drawback to RDS was the storage limit of 6TB. Their requirement at the time, was closer to 10TB.
AWS Aurora: AWS Aurora would have met the storage needs, but it was in beta at that time.
PostgreSQL: PostgreSQL is a powerful open source, object-relational database system, but they did not have much in house expertise using PostgreSQL. In the DC, their primary backend databases were Oracle and MySQL. Moreover, choosing PostgreSQL would have eliminated the option of a seamless migration to Aurora in future, as Aurora is based on the MySQL engine.
EC2 MySQL: EC2 MySQL was ultimately the choice for the billing use case, since there were no licensing cost and it also provided a path to future Aurora migration. This involved setting up MySQL using the InnoDB engine on i2.8xlarge instances.Production Database Architecture
High availability and scalability were the main drivers in designing the architecture to help the billing application withstand infrastructure failures, zone and region outages, and to do so with minimal downtime.
Using an DRBD copy in another zone for the primary master DB, helped withstand zone outages, infrastructure failures like bad nodes, and EBS volume failures. “Synchronous replication protocol” was used to enable the write operations on the primary node to be considered completed, only after both the local and remote writes have been confirmed. As a result, the loss of a single node is guaranteed to have no data loss. This would impact the write latency, but that was well within the SLAs.
Read replica setup in local, as well as cross region, not only met high availability requirements, but also helped with scalability. The read traffic from ETL jobs was diverted to the read replica, sparing the primary database from heavy ETL batch processing.
In case of the primary MySQL database failure, a failover is performed to the DRBD secondary node that was being replicated in synchronous mode. Once secondary node takes over the primary role, the route53 DNS entry for database host is changed to point to the new primary. The billing application being batch in nature is designed to handle such downtime scenarios. The client connection do not fallback but establish new connections that would point to the new primary after the Cname propagation is complete.Choice of Migration Tool
We spent considerable time and effort in choosing the right tool for the migration. Primary success criteria for the POC was the ability to restart bulk loads, bi-directional replication, and data integrity. They focused on the following criteria while evaluating a tool for the migration.
GoldenGate stood out in terms of features it offered which aligned very well with their use case. It offered the ability to restart bulk loads in case of failures (a few tables were hundreds of GB in size), and its bi-directional replication feature provided easy rollback from MySQL to Oracle.
The main drawback with GoldenGate was the learning curve in understanding how the tool works. In addition, its manual configuration setup is prone to human error, which added a layer of difficulty. If there is no primary key or unique key on the source table, GoldenGate uses all columns as the supplemental logging key pair for both extracts and replicats. They found issues like duplicate data at the target in incremental loads for such tables and decided to execute a full load during the cutover for those specific tables with no pre-defined primary or unique key. The advantages and features offered by GoldenGate far exceeded any challenges and was the tool of choice.Schema Conversion and Validation
Since source and target databases were different, with data type and data length differences, validation became a crucial step in getting the data migrated while keeping the data integrity intact.
Data type mismatch took sometime to fix the issues stemming from it. One example — many numeric values in Oracle were defined as the Number datatype for legacy reasons. There is no equivalent type in MySQL. The Number datatype in Oracle stores fixed and floating-point numbers which was tricky. Some source tables had columns where Number meant an integer, in other cases it was used for decimal values, while some had really long values up to 38 digits. In contrast, MySQL has specific datatypes like Int, bigInt, decimal, double etc and a bigInt cannot go beyond 18 digits. One should ensure that correct mapping is done to reflect the accurate values in MySQL.
Partitioned tables needed special handling, since unlike Oracle, MySQL expects the partition key to be the part of the primary key and unique key. Target schema had to be redefined with proper partitioning keys to ensure no negative impact on application logic and queries.
Default value handling also differs between MySQL and Oracle. For the columns with a NOT NULL value, MySQL determined the implicit default value for the column. Strict mode had to be enabled in MySQL to catch such data conversion issues, as such transactions would fail and show up in the GoldenGate error logs.
Tools for schema conversion: They researched a variety of tools to assist in schema conversion as well as validation, but the default schema conversion provided by these tools did not work due to their legacy schema design. Even GoldenGate does not convert Oracle schema to the equivalent MySQL version, but instead depends on the application owners to define the schema first. Since one of their goals with this migration was to optimize schema, the database and application teams worked together to review the data types, and did multiple iterations to capture any mismatch. GoldenGate will truncate the value to fit the MySQL datatype in case of a mis-match. They relied heavily on data comparison tools and the GoldenGate error logs to help detect mismatches in data type mapping between source and target, in order to mitigate this issue.Data Integrity
Once the full load completed and incrementals caught up, another daunting task was to make sure the target copy correctly maintained the data integrity. As the data types between Oracle and MySQL were different, it was not possible to have a generic wrapper script to compare hash values for the rowkeys to ensure accuracy. There are a few 3rd party tools which do the data comparisons across databases comparing the actual values, but the total dataset is 10 TB which was not easy to compare. Instead, they used these tools to match a sample data set which helped in identifying a few discrepancies related to wrong schema mapping.
Test refreshes: One of the ways to ensure data integrity was to do the application testing on a copy of the production database. This was accomplished by scheduling database refreshes from the MySQL production database to test. Considering production was being backed by EBS for storage, a test environment was easily created by taking the EBS snapshots off the slave, and doing a point in time recovery into test. This process was repeated several times to ensure data quality.
Sqoop jobs: ETL jobs and reporting were used to help with data reconciliation process. Sqoop jobs pulled data out of Oracle for reporting purposes. Those jobs were also configured to run against MySQL. With continuous replication between source and target, reports were run against specific time window on the ETLs. This helped in taking out the variation due to incremental loads.
Row counts was another technique used to compare the source/target and match them. This was achieved by pausing the incremental loads on the target and matching the counts on Oracle and MySQL. Results from row counts were also compared after full GoldenGate load of the tables.Performance Tuning
Infrastructure: Billing application persisted data in the DC on two Oracle databases residing on very powerful machines, using IBM power 7, 32 dual core 64 bit multiprocessors, 750GB RAM, TB’s storage allocated via SVC MCS cluster which is 8G4 cluster with 4GB/sec interface running with RAID 10 configurations.
One major concern with the migration was performance, as the target database was consolidated on one i2.8xlarge server, using 32 vCPU and 244 GB RAM. The application team did a lot of tuning at the application layer to optimize the queries. With the help of Vector the performance team was able to find bottlenecks and eliminate them by tuning specific system and kernel parameters. See Appendix for more details.
High performance with respect to reads and writes was achieved by using RAID0 with EBS provisioned IOPS volumes. To get more throughput per volume, 5 volumes of 4TB each were used, instead of 1 big volume. This was to facilitate faster snapshots and restores.
Database: One major concern using MySQL was the scale of their data and MySQL throughput during batch processing of data by billing applications. Percona provided consulting support, and the MySQL database was tuned to perform well during and after the migration. The main trick is to have two cnf files, one while migrating the data and tweaking parameters like innodb_log_file_size to help with bulk inserts, and the second cnf file for the real time production application load by tweaking parameters like innodb_buffer_pool_instances to help with the transaction real time load. See Appendix for more details.
Data load: During POC, they tested the initial table load with indexes in on/off combination and decided to go with enabling all indexes before the load. The reasoning behind this was that index creation in MySQL is single threaded (most tables had multiple indexes), and so they instead utilized Golden Gate’s parallel load feature to populate the table with indexes in reasonable time. Foreign key constraints were enabled during the final cutover.
Another trick they learned was to match the total number of processes executing full and incremental load, to the number of cores on the instance. If the processes exceeded the number of cores, the performance of those data loads slowed down drastically as the instance would spend a lot of time in context switches. It took around 2 weeks to populate 10 TB in target MySQL database with the full loads and have incremental loads catch up.Conclusion
Though the database piece is one of the most challenging aspects of any migration, what really makes a difference between success and failure is ensuring you are investing in the right approach up front, and partnering closely with the application team throughout the process. Looking back on the whole migration, it was truly a commendable effort by different teams across the organization, who came together to define the whole migration and make the migration a great success! Along with the individual and cross team coordination, it’s also the great culture of freedom and responsibility which makes these challenging migrations possible without impacting business.Appendix Database Tunables for Bulk Insert Database Tunables for High Transaction throughput Storage
Linux support automatic numa balancing feature that results in higher kernel overhead caused by frequent mapping/unmapping of application memory pages. One should disable it and instead use numa API in application or via sysadmin utility ‘numactl” to hint kernel on how its memory allocation should be handled.VM Tunables File system and IO Storage Metrics
— Jyoti Shandil, Ravi Nyalakonda, Rajesh Matkar, Roopa Tangirala
Sep 20, 2013
Edward Whalen, an Oracle ACE and the Chief Technologist at Performance Tuning Corporation (www.perftuning.com), was recently featured in an Oracle Enterprise Manager SIG webinar about Oracle Enterprise Manager 12c. Here, he shares his thoughts about the significance of the features provided in the latest release of Enterprise Manager and why they are important to Oracle users.
Why are you interested in Enterprise Manager 12c?EW: Oracle Enterprise Manager Cloud Control is the latest and greatest Enterprise Manager product from Oracle. In terms of lifecycle management, in terms of managing the database, and in terms of just managing the whole enterprise, it has got some great features.
In the webcast, I focused on the performance management tools within the Oracle Database, which are ASH Analytics and SQL Monitoring. The reason I was asked to participate is that Oracle Press actually just published a book that I wrote on this topic with my colleagues, Michael New and Matthew Burke, titled, “Oracle Enterprise Manager Cloud Control 12c Deep Dive.”
Do you use Enterprise Manager?
EW: I use this technology all the time. I am a database consultant and I mainly focus on performance problems as well as implementations and data migrations, so I use technologies such as Oracle GoldenGate, Data Guard, and Oracle RAC. Oracle Enterprise Manager Cloud Control 12c really provides a lot of capabilities for managing these features of Oracle and gives you the ability to not only manage but monitor and set up alerting. I implement, configure and manage Oracle Enterprise Manager 12c for a number of customers. I love Oracle Enterprise Manager 12c. I am a huge fan of the product.
Do your customers find it helpful?
EW: It is extremely useful. The database administrator’s main task in life is to keep the database up and running. So being able to set up proactive alerts and proactive monitoring and pinpoint when something is happening before the user community is calling to complain about it, is really essential to DBAs in order to provide a really great level of service for their customers and end users.
How did Oracle Enterprise Manager 12c evolve as a product?
EW: The 12c version of Oracle Enterprise Manager actually came out a full year before the 12c version of the database. The version 12c of Enterprise Manager doesn’t require the 12c version of the database and, in fact, 12c can manage and monitor not only 12c databases but 11g databases, 10g, 9i, and so forth. Prior to Oracle Enterprise Manager Cloud Control, the product was called Oracle Grid Control. Version 10 and version 11 of Oracle Grid Control have been out there for awhile and then with version 12c, Oracle named it Cloud Control.
The new feature for performance monitoring and performance tuning is a feature only available in Oracle Enterprise Manager called ASH Analytics. ASH stands for Active Session History so ASH Analytics is what I covered in the webinar – showing how it allows you to dig into what is actually happening in your system on a per-session level even to the point of allowing you to isolate which session and which SQL statement is using the most I/O, or has the greatest CPU utilization, or which ones are holding the most locks. I am able to dig into those details with the ASH Analytics tool and that is a new feature that was not available in the earlier versions of Grid Control.
How long have you been a member of the IOUG?
EW: More than 15 years.
What has your experience been?
EW: I love the IOUG. I especially like the IOUG presentations at COLLABORATE because they provide more of the actual down and dirty database administration – really technical information. If you want to learn something about Oracle products and learn about how the DBAs work and what kind of things they run into, you tend to find more about that at COLLABORATE.
What is it that you will be looking for more information on at Oracle OpenWorld this year?
EW: I am mainly looking forward to getting more information about the new features in Oracle 12c Database. I also work quite a lot with Oracle GoldenGate and I know they are making a lot of improvements there, so I am planning on attending a few of those sessions as well.
View the replay in the IOUG EM SIG Community’s File Library. You must login with your IOUG user name and password.
Join the IOUG at Oracle OpenWorld 2013.
Oakland Raiders: More big names to target during 2019 NFL free agency by Gil Alcaraz IV
Sacramento Kings: Grading the Iman Shumpert-Alec Burks trade by Gil Alcaraz IV
If I would have told you at the beginning of this MLB offseason that, on Feb. 6, they would still be discussing Bryce Harper rumors, you would have thought I was crazy. Frankly so would have everyone that had any sense, but here they are. Harper is still unsigned, and a rumor of another suitor came to light yesterday.
Early Wednesday morning, it was confirmed that Harper did meet with San Francisco Giants representatives on Monday, including Larry Baer, Farhan Zaidi, and Bruce Bochy.
The specifics of the meeting are unknown, and there is no way to tell if this was just a due-diligence meeting seeing what Harper’s market and interest levels are, or if this was a legitimate attempt to reel in one of baseball’s best players. If their interest is real, Harper would bring star-power to a Giants team that could desperately use an outfield bat.
Currently, San Francisco has Chris Shaw, Steven Duggar, Mac Williamson, and Austin Slater as their likely outfielders on their Major League roster at the beginning of the 2019 season. It is safe to say that is not a great thing. Adding Harper to this group would be an insurmountable addition, and give the Giants a pretty nice top of their batting order.
Now it’s no surprise that adding Harper would make the Giants a significantly better team, but how realistic is the possibility of the team signing him? Well, first they have to look at the payroll side of things.
According to rosterresource.com, the Giants currently sit at $168,409,667 for their 2019 payroll, but it is not that simple. San Francisco still has some players who are not ready for arbitration and non-guaranteed contracts, and these salaries are estimated to be around $9 million dollars total. This would put the Giants payroll in the range of $179-180 million, and only give them roughly $25 million to work with before they go over the luxury tax.More from Golden Gate Sports
Even with Harper’s market not playing out the way most people assumed it would, thinking someone could get him for $25 million or less AVA per season seems ludicrous. So if the Giants are serious about getting Harper, they likely will have to go over the luxury tax.
Now going over the tax would not be the end of the world for San Francisco, the team that does have starter Madison Bumgarner‘s deal coming off the books next season, and a $6.5 million club option on lefty Derek Holland. Essentially, the team has ways to be flexible with their money.
For the Giants and Harper, the biggest gap to hurdle before bringing him to San Francisco may be the years on the contract. It seems very unlikely the Giants would be willing to offer Harper an eight- to 10-year long-term deal but seem they would be more in the neighborhood of a three- to five-year deal.
Reports have surfaced in recent days that Harper may be considering a shorter-term deal with the market just not playing out the way he and agent Scott Boras have hoped, but there is no real traction as to whether that is true or not.
In the grand scheme of things, San Francisco seems like a destination that would be a perfect fit for Harper. The team has a history of winning, an all-time manager in Bruce Bochy, veterans on the roster that could make them an immediate contender, and close proximity to his hometown of Las Vegas. The real question is, do the Giants believe Harper is a once-in-a-generation talent that is worth breaking the bank for?
Harper’s market is so unclear at this point there is no real ability to gauge a favorite or pick where he will likely end up. However, in the end, it will likely come down to who offers the most money. If they make a very competitive offer and are willing to commit to Harper long-term, I think there is at least a decent chance he is a Giant next season.
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