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• Invitation to the Oracle EDGE Applications Partner Roadshow

  - by Hartmut Wiese

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 This is a unique opportunity for any Oracle Alliance & Channel Managers & their Partners to connect with the Oracle Edge Sales and Management Team to understand the relevance and value of the entire Oracle Edge Portfolio of Applications in solving complex customer issues and supporting a variety of evolving Partner Go-To-Market business models. Oracle Edge Applications (PLM, VCE, VCP, MDM, GRC, OPA) With strong participation from the key Oracle Edge Applications Sales business leaders, attendees will get the opportunity to hear about the benefits of the Oracle Edge Solutions within three different value-added contexts: Value 1: Oracle Edge Application Strategy Value 2: Oracle Value Chain Transformation Vision Value 3: Individual Application Business Line Differentiators Following on from the morning presentations, Oracle Partners will also get the opportunity in the afternoon to challenge and discuss the value of Oracle Edge Applications in the context of their own Go-To-Market business models. These sensitive discussions will be managed via focused 1-2-1 breakout meetings with the relevant Oracle Edge Applications Sales Business Leaders. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} When Where To Register Tuesday, July 09th 2013 09 am to 04 pm Utrecht Register now Tuesday, July 16th 2013 09 am to 04 pm London Register now Wednesday, August 28th 2013 09 am to 04 pm Paris Register now IIMPORTANT NOTE: ONLY 60 ATTENDEE PLACES AVAILABLE PER LOCATION - BOOK NOW TO AVOID MISSING OUT. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} There is a strict limit to the number of people who can attend this event based on site logistics for the day. Please note that Partners will be given priority over Oracle personnel registrations. Partners however may only register a maximum of 2 personnel from their company plus the supporting local Oracle Alliance & Channel Manager /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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• Oracle NoSQL Database Exceeds 1 Million Mixed YCSB Ops/Sec

  - by Charles Lamb

  We ran a set of YCSB performance tests on Oracle NoSQL Database using SSD cards and Intel Xeon E5-2690 CPUs with the goal of achieving 1M mixed ops/sec on a 95% read / 5% update workload. We used the standard YCSB parameters: 13 byte keys and 1KB data size (1,102 bytes after serialization). The maximum database size was 2 billion records, or approximately 2 TB of data. We sized the shards to ensure that this was not an "in-memory" test (i.e. the data portion of the B-Trees did not fit into memory). All updates were durable and used the "simple majority" replica ack policy, effectively 'committing to the network'. All read operations used the Consistency.NONE_REQUIRED parameter allowing reads to be performed on any replica. In the past we have achieved 100K ops/sec using SSD cards on a single shard cluster (replication factor 3) so for this test we used 10 shards on 15 Storage Nodes with each SN carrying 2 Rep Nodes and each RN assigned to its own SSD card. After correcting a scaling problem in YCSB, we blew past the 1M ops/sec mark with 8 shards and proceeded to hit 1.2M ops/sec with 10 shards.  Hardware Configuration We used 15 servers, each configured with two 335 GB SSD cards. We did not have homogeneous CPUs across all 15 servers available to us so 12 of the 15 were Xeon E5-2690, 2.9 GHz, 2 sockets, 32 threads, 193 GB RAM, and the other 3 were Xeon E5-2680, 2.7 GHz, 2 sockets, 32 threads, 193 GB RAM.  There might have been some upside in having all 15 machines configured with the faster CPU, but since CPU was not the limiting factor we don't believe the improvement would be significant. The client machines were Xeon X5670, 2.93 GHz, 2 sockets, 24 threads, 96 GB RAM. Although the clients had 96 GB of RAM, neither the NoSQL Database or YCSB clients require anywhere near that amount of memory and the test could have just easily been run with much less. Networking was all 10GigE. YCSB Scaling Problem We made three modifications to the YCSB benchmark. The first was to allow the test to accommodate more than 2 billion records (effectively int's vs long's). To keep the key size constant, we changed the code to use base 32 for the user ids. The second change involved to the way we run the YCSB client in order to make the test itself horizontally scalable.The basic problem has to do with the way the YCSB test creates its Zipfian distribution of keys which is intended to model "real" loads by generating clusters of key collisions. Unfortunately, the percentage of collisions on the most contentious keys remains the same even as the number of keys in the database increases. As we scale up the load, the number of collisions on those keys increases as well, eventually exceeding the capacity of the single server used for a given key.This is not a workload that is realistic or amenable to horizontal scaling. YCSB does provide alternate key distribution algorithms so this is not a shortcoming of YCSB in general. We decided that a better model would be for the key collisions to be limited to a given YCSB client process. That way, as additional YCSB client processes (i.e. additional load) are added, they each maintain the same number of collisions they encounter themselves, but do not increase the number of collisions on a single key in the entire store. We added client processes proportionally to the number of records in the database (and therefore the number of shards). This change to the use of YCSB better models a use case where new groups of users are likely to access either just their own entries, or entries within their own subgroups, rather than all users showing the same interest in a single global collection of keys. If an application finds every user having the same likelihood of wanting to modify a single global key, that application has no real hope of getting horizontal scaling. Finally, we used read/modify/write (also known as "Compare And Set") style updates during the mixed phase. This uses versioned operations to make sure that no updates are lost. This mode of operation provides better application behavior than the way we have typically run YCSB in the past, and is only practical at scale because we eliminated the shared key collision hotspots.It is also a more realistic testing scenario. To reiterate, all updates used a simple majority replica ack policy making them durable. Scalability Results In the table below, the "KVS Size" column is the number of records with the number of shards and the replication factor. Hence, the first row indicates 400m total records in the NoSQL Database (KV Store), 2 shards, and a replication factor of 3. The "Clients" column indicates the number of YCSB client processes. "Threads" is the number of threads per process with the total number of threads. Hence, 90 threads per YCSB process for a total of 360 threads. The client processes were distributed across 10 client machines. Shards KVS Size Clients Mixed (records) Threads OverallThroughput(ops/sec) Read Latencyav/95%/99%(ms) Write Latencyav/95%/99%(ms) 2 400m(2x3) 4 90(360) 302,152 0.76/1/3 3.08/8/35 4 800m(4x3) 8 90(720) 558,569 0.79/1/4 3.82/16/45 8 1600m(8x3) 16 90(1440) 1,028,868 0.85/2/5 4.29/21/51 10 2000m(10x3) 20 90(1800) 1,244,550 0.88/2/6 4.47/23/53

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• Install Oracle Enterprise Linux 5 on VMWare

  - by TUFEKCIOGLU,FATIH

  In this article, we will try to install Install Oracle Enterprise Linux 5 on VMWare. To make the installation easier, I will show the screenshots of the whole steps. 1.   2.   3.   4.   5.   6. 7. 8.   9.   10.   11.   12.   13.   14.   15.   16.   17.   18.   19.   20.   21.   22.   23.   24.   25.   26.   27.   28.   29.   30.   31.   32.   33.   34.   35.   36.   37.   38.   39.   40.   41.   42.   43.   44.   45.   46.   47.   48.   49.   50.   51.   52.   53.   54.   55.   56.   57.   58.   59.   60.   61.   62.   The installation is completed, Thanks, Fatih Tufekcioglu  

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• The Oracle EMEA Partner Event of the Year- FREE, LIVE & ONLINE!

  - by Claudia Costa

  New products. New specializations. New opportunities. Find out how you can use them to build your Oracle business even faster and more effectively in 2010/11. The date for your diary is the 29th of June 2010, at 11:00 GMT. And this summer's event is bigger and better than ever. You will learn: What Oracle's acquisition of Sun Microsystems means for your business and your customers How Oracle Specialization can help you grow faster and smarter, and how Oracle partners from across the region are already benefitting Why Oracle's latest technology, applications, middleware and hardware products and solutions offer you unbeatable new business opportunities How Oracle's partner program is evolving to help partners succeed with a live link to the Oracle FY11 Global Partner Kickoff How specialization has helped a former Microsoft executive become one of the world's most successful social entrepreneurs You'll also have the chance to network with Oracle experts and other partners, and download valuable collateral from specially constructed virtual information booths. Plus, at the end of the event, submit your feedback form for the chance to win two passes to Oracle OpenWorld in San Francisco this September! Don't miss out! REGISTER TODAY!  for this exciting, exclusive online event. Visit here for more information and to view the complete agenda We look forward to welcoming you on the 29th of June! Yours sincerely, Stein SurlienSenior Vice President, Alliances & Channels, Oracle EMEA PS. The Oracle PartnerNetwork Days Virtual Event will be followed by "Oracle PartnerNetwork Days Executive Forums", and "Oracle PartnerNetwork Days Satellite Events" in various countries. Please look out for further communications from your local Oracle team.

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• API to UPDATE Oracle FND User

  - by PRajkumar

  API - fnd_user_pkg.updateuser Example -- Consider a FND User having following Details --     Lets Try to Update its Email Id from [email protected] to [email protected]   -- ------------------------------------------------ -- API to UPDATE Oracle FND User -- ------------------------------------------------ DECLARE     lc_user_name                           VARCHAR2(100)   := 'PRAJ_TEST';     lc_user_password                   VARCHAR2(100)   := 'Oracle123';     ld_user_start_date                   DATE                      := TO_DATE('23-JUN-2012');     ld_user_end_date                    VARCHAR2(100)  := NULL;     ld_password_date                   VARCHAR2(100)  := TO_DATE('23-JUN-2012');     ld_password_lifespan_days  NUMBER               := 90;     ln_person_id                            NUMBER                := 32979;     lc_email_address                     VARCHAR2(100)  := '[email protected]'; BEGIN    fnd_user_pkg.updateuser    (  x_user_name                           => lc_user_name,       x_owner                                   => NULL,       x_unencrypted_password    => lc_user_password,       x_start_date                             => ld_user_start_date,       x_end_date                              => ld_user_end_date,       x_password_date                   => ld_password_date,       x_password_lifespan_days  => ld_password_lifespan_days,       x_employee_id                       => ln_person_id,       x_email_address                    => lc_email_address    );  COMMIT; EXCEPTION     WHEN OTHERS THEN                       ROLLBACK;                       DBMS_OUTPUT.PUT_LINE(SQLERRM); END; / SHOW ERR;       

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• ??????????????!?Oracle Solaris 11.1 Day? ??????????

  - by OTN-J Master

  ????????????Oracle Solaris??20???????????? ?????????????????Oracle Solaris 11.1????????11????300???????????????????????????OS???????Oracle Database????????????????OS????????????????>> ???????? ?Oracle Solaris 11:??????OS? ???????11?30?(?)????????????Oracle Solaris 11.1 Day???????????????????????????????????????????????????????????????????????!???Solaris???????????????????????????????????Web??????????????????????????????????????????????????????Solaris 11??????????????????????????????????????????????????????????????????>>??????!????: 11?30?(?)13:00~15:30 (????12:30)?????: ???????? 13F???????(??????)???????  “The First Cloud OS” ???????Oracle Solaris 11??????????????????????????????????????????? IT ????????????????????????????????????????????????IT???????OS????????????????????Oracle OpenWorld 2012?????????Solaris11?????????????????????Solaris 11.1 ???????????????????Solaris????????????????????OS??Oracle?????????????????????????????????????Oracle Solaris????????????????????? ?????? ?13:30~13:40? ???????????????????????!???????????????????OS????????????????????? ???????????????? ?? ?? ? ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????IT????????????????????????????????????????????????????????????????????????????????????IT???????Enterprise??????????????????????? ?13:40~14:20?[??????????????]Oracle Solaris11.1 ?????????????????? ????????????? ??? ?“The First Cloud OS” ???????Oracle Solaris 11??????????????????????????????????????????? IT ??????????????????????????????????????????????????Oracle OpenWorld 2012?????????Solaris11?????????????????????Solaris 11.1 ???????????????? ?14:30~15:00?[?????????????????] ??????!Solaris 11 Beta ????????????????????   ???????   ? ?? ? ????????Oralce Solaris 11 Beta ?????????????????????????????????????????????15:00~15:20?[????????????????]Solaris 11 ?????????????????????? ??????????? ???????  ?? ?? Oracle University ?????????????????????????????????????????????????(Classroom Training)?????????????????????????????????????????????????????????Oracle University?????Solaris 11????????????????????? >> ??????????

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• Using a "white list" for extracting terms for Text Mining, Part 2

  - by [email protected]

  In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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• The Internet of Things & Commerce: Part 3 -- Interview with Kristen J. Flanagan, Commerce Product Management

  - by Katrina Gosek, Director | Commerce Product Strategy-Oracle

  Internet of Things & Commerce Series: Part 3 (of 3) And now for the final installment my three part series on the Internet of Things & Commerce. Post one, “The Next 7,000 Days”, introduced the idea of the Internet of Things, followed by a second post interviewing one of our chief commerce innovation strategists, Brian Celenza.  This final post in the series is an interview with Kristen J. Flanagan, lead product manager for Oracle Commerce omnichannel strategy. She takes us through the past, present, and future of how our Commerce Solution is re-imagining the way physical and digital shopping come together. ------- QUESTION: It’s your job to stay on top of what our customers’ need to not only run their online businesses effectively, but also to make sure they have product capabilities they can innovate and grow on. What key trend has been top-of-mind for you and our customers around this collision of physical and digital shopping? Kristen: I’ll agree with Brian Celenza that hands down mobile has forced a major disruption in shopping and selling behavior. A few years ago, mobile exploded at a pace I don't think anyone was expecting. Early on, we saw our customers scrambling to establish a mobile presence---mostly through "screen scraping" technologies. As smartphones continued to advance (at lightening speed!), our customers started to investigate ways to truly tap in to their eCommerce capabilities to deliver the mobile experience. They started looking to us for a means of using the eCommerce services and capabilities to deliver a mobile experience that is tailored for mobile rather than the desktop experience on a smaller screen. In the future, I think we'll see customers starting to really understand what their shoppers need and expect from a mobile offering and how they can adapt their content and delivery of that content to meet those needs. And, mobile shopping doesn’t stop at the consumer / buyer. Because the in-store experience is compelling and has advantages that digital just can't offer, we're also starting to see the eCommerce services being leveraged for mobile for in-store sales associates. Brick-and-mortar retailers are interested in putting the omnichannel product catalog, promotions, and cart into the hands of knowledgeable associates. Retailers are now looking to connect and harness the eCommerce data in-store so that shoppers have a reason to walk-in. I think we'll be seeing a lot more customers thinking about melding the in-store and digital experiences to present a richer offering for shoppers.    QUESTION: What are some examples of what our customers are doing currently to bring these concepts to reality? Kristen: Well, without question, connecting digital and brick-and-mortar worlds is becoming tablestakes for selling experiences. If a brand has a foot in both worlds (i.e., isn’t a pureplay online retailer), they have to connect the dots because shoppers – whether consumers or B2B buyers –don't think in clearly defined channels anymore. The expectation is connectedness – for on- and offline experiences, promotions, products, and customer data. What does this mean practically for businesses selling goods on- and offline? It touches a lot of systems: inventory info on the eCommerce site, fulfillment options across channels (buy online/pickup in store), order information (representing various channels for a cohesive view of shopper order history), promotions across digital and store, etc.  A few years ago, the main link between store and digital was the smartphone. We all remember when “apps” became a thing and many of our customers were scrambling to get a native app out there. Now we're seeing more strategic thinking around the benefits of mobile web vs. native and how that ties in to the purpose and role of mobile within the digital channel. Put it more broadly, how these pieces fit together in the overall brand puzzle.  The same could be said for “showrooming.” Where it was a major concern (i.e., shoppers using stores to look at merchandise and then order online from Amazon), in recent months, it’s emerged that the inverse is now becoming a a reality as well. "Webrooming" (using digital sites to do research before making a purchase in the store) is a new behavior pure play retailers are challenged with. There are many technologies, behaviors, and information that need to tie together to offer a holistic omnichannel shopping experience. As a result, brands are looking for ways to connect the digital and in-store experiences to bridge the gaps: shared assortments across channels, assisted selling apps that arm associates with information about shoppers, shared promotions, inventory, etc. QUESTION: How has Oracle Commerce been built to help brands make the link between in-store and digital over the last few years? Kristen: Over the last seven years, the product has been in step with the changes in industry needs. Here is a brief history of the evolution: Prior to Oracle’s acquisition of ATG and Endeca, key investments were made to cross-channel functionality that we are still building on today. Commerce Service Center (v2007.1) ATG introduced the Commerce Service Center in 2007.1 and marked the first entry into what was then called “cross-channel.” The Commerce Service Center is a call-center-agent-facing application that enables agents to see shopper orders, online catalog, promotions, and pricing. It is tightly integrated with the eCommerce capabilities of the platform and commerce engine and provided a means of connecting data from the call center and online channels.  REST services framework (v9.1)  In v9.1 we introduced the REST services framework and interface in the Platform that enabled customers to use ATG web services in other applications. This framework has become the basis for our subsequent omni-channel features and functionality. Multisite Architecture (v10) With the v10 release, we introduced the Multisite Architecture, which enabled customers to manage multiple sites (and channels) within a single instance of the BCC. Customers could create site- and channel-specific catalogs, promotions, targeters, and scenarios. Endeca Page Builder (2.x) / Experience Manager (3.x) With the introduction of Endeca for Mobile (now part of the core platform, available through the reference store – see blow) on top of Page Builder (and then eventually Experience Manager), Endeca gave business users the tools to create and manage native and mobile web applications. And since the acquisition of both ATG (2011) and Endeca (2012), Oracle Commerce has leveraged the best of each leading technology’s capabilities for omnichannel commerce to continue to drive innovation for our customers. Service enablement of core Oracle Commerce capabilities (v10.1.1, 10.2, & 11) After the establishment of the REST services framework and interface, we followed up in subsequent releases with service enablement of core Oracle Commerce capabilities throughout the iOS native app and the enablement of the core Commerce Service Center features. The result is that customers can leverage these services for their integrations with other systems, as well as their omnichannel initiatives.  Mobile web reference application (v10.1) In 10.1 we introduced the shopper-facing mobile reference application that showed how to use Oracle Commerce to deliver a mobile web experience for shoppers. This included the use of Experience Manager and cartridges to drive those experiences on select pages.  Native (iOS) reference application (v10.1.1)  We came out with the 10.1.1 shopper-facing native iOS ref app that illustrated how to use the Commerce REST services to deliver an iOS app. Also included Experience Manager-driven pages.   Assisted Selling reference application (v10.2.1)  The Assisted Selling reference application is our first reference application designed for the in-store associate. This iOS app shows customers how they can use Oracle Commerce data and information to provide a high-touch, consultative sales environment as well as to put the endless aisle into hands of their associates. Shoppers can start a cart online, and in-store associates can access that cart via the application to provide more information or add products and then transact using the ATG engine. Support for Retail promotions (v11) As part of the v11 release, we worked with teams in the Oracle Retail Global Business Unit (RGBU) to assess which promotion types and capabilities are supported across our products. Those products included Oracle Commerce, Oracle Point of Service (ORPOS), and Oracle Retail Price Management (RPM). The result is that customers can now more easily support omnichannel use cases between the store and digital.  Making sure Oracle Commerce can help support the omnichannel needs of our customers is core to our product strategy. With 89% of consumers now use two or more channels to make a single purchase, ensuring that cross-channel interactions are linked is critical to a great customer experience – and to sales. As Oracle Commerce evolves, we want to make it simple for organizations to create, deliver, and scale experiences across touchpoints with our create once, deploy commerce anywhere framework. We have a flexible, services-oriented architecture that allows data, content, catalogs, cart, experiences, personalization, and merchandising to be shared across touchpoints and easily extended in to new environments like mobile, social, in-store, Call Center, and new Websites. [For the latest downloads and Oracle Commerce documentation, please visit the Oracle Technical Network.] ------ Thank you to both Brian and Kristen for their contributions and to this blog series and their continued thought leadership for Oracle Commerce. We are all looking forward to the coming years of months of new shopping behaviors and opportunities to innovate. Because – if the digital fabric of our everyday lives continues to change at the same pace – the next five years (that just under 2,000 days), will be dramatic. ---------- THIS DOCUMENT IS FOR INFORMATIONAL PURPOSES ONLY AND MAY NOT BE INCORPORATED INTO A CONTRACT OR AGREEMENT

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• To sample or not to sample...

  - by [email protected]

  Ideally, we would know the exact answer to every question. How many people support presidential candidate A vs. B? How many people suffer from H1N1 in a given state? Does this batch of manufactured widgets have any defective parts? Knowing exact answers is expensive in terms of time and money and, in most cases, is impractical if not impossible. Consider asking every person in a region for their candidate preference, testing every person with flu symptoms for H1N1 (assuming every person reported when they had flu symptoms), or destructively testing widgets to determine if they are "good" (leaving no product to sell). Knowing exact answers, fortunately, isn't necessary or even useful in many situations. Understanding the direction of a trend or statistically significant results may be sufficient to answer the underlying question: who is likely to win the election, have we likely reached a critical threshold for flu, or is this batch of widgets good enough to ship? Statistics help us to answer these questions with a certain degree of confidence. This focuses on how we collect data. In data mining, we focus on the use of data, that is data that has already been collected. In some cases, we may have all the data (all purchases made by all customers), in others the data may have been collected using sampling (voters, their demographics and candidate choice). Building data mining models on all of your data can be expensive in terms of time and hardware resources. Consider a company with 40 million customers. Do we need to mine all 40 million customers to get useful data mining models? The quality of models built on all data may be no better than models built on a relatively small sample. Determining how much is a reasonable amount of data involves experimentation. When starting the model building process on large datasets, it is often more efficient to begin with a small sample, perhaps 1000 - 10,000 cases (records) depending on the algorithm, source data, and hardware. This allows you to see quickly what issues might arise with choice of algorithm, algorithm settings, data quality, and need for further data preparation. Instead of waiting for a model on a large dataset to build only to find that the results don't meet expectations, once you are satisfied with the results on the initial sample, you can  take a larger sample to see if model quality improves, and to get a sense of how the algorithm scales to the particular dataset. If model accuracy or quality continues to improve, consider increasing the sample size. Sampling in data mining is also used to produce a held-aside or test dataset for assessing classification and regression model accuracy. Here, we reserve some of the build data (data that includes known target values) to be used for an honest estimate of model error using data the model has not seen before. This sampling transformation is often called a split because the build data is split into two randomly selected sets, often with 60% of the records being used for model building and 40% for testing. Sampling must be performed with care, as it can adversely affect model quality and usability. Even a truly random sample doesn't guarantee that all values are represented in a given attribute. This is particularly troublesome when the attribute with omitted values is the target. A predictive model that has not seen any examples for a particular target value can never predict that target value! For other attributes, values may consist of a single value (a constant attribute) or all unique values (an identifier attribute), each of which may be excluded during mining. Values from categorical predictor attributes that didn't appear in the training data are not used when testing or scoring datasets. In subsequent posts, we'll talk about three sampling techniques using Oracle Database: simple random sampling without replacement, stratified sampling, and simple random sampling with replacement.

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• Training v. Teaching

  - by Chris Gardner

  Originally posted on: http://geekswithblogs.net/freestylecoding/archive/2014/05/28/training-v.-teaching.aspxAs some of you may know, I recently accepted a position to teach an undergraduate course at my alma mater. Yesterday, I had my first day in an academic classroom. I immediately noticed a difference with the interactions between the students. They don't act like students in a professional training or conference talk. I wanted to use this opportunity to enumerate some of those differences. The immediate thing I noticed was the lack of open environment. This is not to say the class was hostile towards me. I am used to entering the room, bantering with audience, loosening everyone a bit, and flowing into the discussion. A purely academic audience does not banter. At least, they do not banter on day one. I think I can attribute this to two factors. This first is a greater perception of authority. In a training or conference environment, I am an equal with the audience. This is true even if I am being a subject matter expert. We're all professionals. We're all there to learn from each other, share our stories, and enjoy the journey. In the academic classroom, there was a distinct class difference. I had forgotten about this distinction; I had the professional familiarity with the staff by the time I completed my masters. This leads to the other distinction. These was an expectation of performance. At conference and professional training, there is generally no (immediate) grading. This may be a preparation for a certification exam, but I'm not the one responsible for delivering the exam. This was not the case in the academic classroom. These students are battling for points, and I am the sole arbiter. These students are less likely to let the material wash over them, applying the material to their past experiences. They were down taking notes. I don't want to leave the impression that there was no interact in the classroom. I spent a good deal of time doing problems with the class on the whiteboard. I tried to get the class to help me work out the steps. This opened up a few of them. After every conference or training class, I always get a few people that will email me afterward to continue the conversation. I am very curious to see if anybody comes to my office hours tomorrow. However, that is a curiosity that will have to wait until tomorrow.

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• com.mysql.jdbc.exceptions.jdbc4.MySQLNonTransientConnectionException: Unknown command

  - by adisembiring

  Hi .. I'm trying to create datasource for connection pooling mysql database in Websphere Application Server. I've set the JDBC Provider, I set the Implementation class name : com.mysql.jdbc.jdbc2.optional.MysqlConnectionPoolDataSource my mysql driver 5.1.6. but I got this error while I try to connect the datasource: The test connection operation failed for data source btn_itb_ds on server server1 at node qnode with the following exception: com.mysql.jdbc.exceptions.jdbc4.MySQLNonTransientConnectionException: Unknown command. View JVM logs for further details. I have read this http://bugs.mysql.com/bug.php?id=38388 trouble shooting. But they just suggest to upgrade mysql driver version 5.1.X and I have do that. but I've got the same error.

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• Logging to MySQL without empty rows/skipped records?

  - by Lee Ward

  I'm trying to figure out how to make Squid proxy log to MySQL. I know ACL order is pretty important but I'm not sure if I understand exactly what ACLs are or do, it's difficult to explain, but hopefully you'll see where I'm going with this as you read! I have created the lines to make Squid interact with a helper in squid.conf as follows: external_acl_type mysql_log %LOGIN %SRC %PROTO %URI php /etc/squid3/custom/mysql_lg.php acl ex_log external mysql_log http_access allow ex_log The external ACL helper (mysql_lg.php) is a PHP script and is as follows: error_reporting(0); if (! defined(STDIN)) { define("STDIN", fopen("php://stdin", "r")); } $res = mysql_connect('localhost', 'squid', 'testsquidpw'); $dbres = mysql_select_db('squid', $res); while (!feof(STDIN)) { $line = trim(fgets(STDIN)); $fields = explode(' ', $line); $user = rawurldecode($fields[0]); $cli_ip = rawurldecode($fields[1]); $protocol = rawurldecode($fields[2]); $uri = rawurldecode($fields[3]); $q = "INSERT INTO logs (id, user, cli_ip, protocol, url) VALUES ('', '".$user."', '".$cli_ip."', '".$protocol."', '".$uri."');"; mysql_query($q) or die (mysql_error()); if ($fault) { fwrite(STDOUT, "ERR\n"); }; fwrite(STDOUT, "OK\n"); } The configuration I have right now looks like this: ## Authentication Handler auth_param ntlm program /usr/bin/ntlm_auth --helper-protocol=squid-2.5-ntlmssp auth_param ntlm children 30 auth_param negotiate program /usr/bin/ntlm_auth --helper-protocol=squid-2.5-basic auth_param negotiate children 5 # Allow squid to update log external_acl_type mysql_log %LOGIN %SRC %PROTO %URI php /etc/squid3/custom/mysql_lg.php acl ex_log external mysql_log http_access allow ex_log acl localnet src 172.16.45.0/24 acl AuthorizedUsers proxy_auth REQUIRED acl SSL_ports port 443 acl Safe_ports port 80 # http acl Safe_ports port 21 # ftp acl Safe_ports port 443 # https acl CONNECT method CONNECT acl blockeddomain url_regex "/etc/squid3/bl.acl" http_access deny blockeddomain deny_info ERR_BAD_GENERAL blockeddomain # Deny requests to certain unsafe ports http_access deny !Safe_ports # Deny CONNECT to other than secure SSL ports http_access deny CONNECT !SSL_ports # Allow the internal network access to this proxy http_access allow localnet # Allow authorized users access to this proxy http_access allow AuthorizedUsers # FINAL RULE - Deny all other access to this proxy http_access deny all From testing, the closer to the bottom I place the logging lines the less it logs. Oftentimes, it even places empty rows in to the MySQL table. The file-based logs in /var/log/squid3/access.log are correct but many of the rows in the access logs are missing from the MySQL logs. I can't help but think it's down to the order I'm putting lines in because I want to log everything to MySQL, unauthenticated requests, blocked requests, which category blocked a specific request. The reason I want this in MySQL is because I'm trying to have everything managed via a custom web-based frontend and want to avoid using any shell commands and access to system log files if I can help it. The end result is to make it as easy as possible to maintain without keeping staff waiting on the phone whilst I add a new rule and reload the server! Hopefully someone can help me out here because this is very much a learning experience for me and I'm pretty stumped. Many thanks in advance for any help!

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• Hibernate Tools / mysql 5

  - by cc96ai

  hibernate tools eclipse plugin cannot generate the mysql 5 relationship mysql driver: com.mysql.jdbc.Driver any idea why ?

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• Import SQL dump into MySQL

  - by BryanWheelock

  I'm confused how to import a SQL dump file. I can't seem to import the database without creating the database first in MySQL. This is the error displayed when database_name has not yet been created: username = username of someone with access to the database on the original server. database_name = name of database from the original server $ mysql -u username -p -h localhost database_name < dumpfile.sql Enter password: ERROR 1049 (42000): Unknown database 'database_name' If I log into MySQL as root and create the database, database_name mysql -u root create database database_name; create user username;# same username as the user from the database I got the dump from. grant all privileges on database_name.* to username@"localhost" identified by 'password'; exit mysql then attempt to import the sql dump again: $ mysql -u username -p database_name < dumpfile.sql Enter password: ERROR 1007 (HY000) at line 21: Can't create database 'database_name'; database exists How am I supposed to import the SQL dumpfile?

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• Best way to install multiple versions of Apache, PHP and MySQL on a single FreeBSD host

  - by Mikael Roos

  I want a test- and development-environment for web using Apache, PHP and MySQL. I need to be able to test a single web-application with multiple versions of PHP (5.2, 5.3, etc) and multiple versions of MySQL (5.0, 5.1, 5.5, etc). It shall be hosted on a FreeBSD server. My idea is to compile each version into a directory structure and running them on separate portnumbers. For example: opt/apache2.2-php5.2-mysql-5.0 (httpd on port 8801, mysql on port 8802) (directory contains each software, compiled and linked towards eachother) opt/apache2.2-php5.3-mysql-5.1 (httpd on port 8803, mysql on port 8804) (and so on) Any thoughts or suggestions of the best way to setup this type of environment?

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• Is there anything else I can do to optimize this MySQL query?

  - by Legend

  I have two tables, Table A with 700,000 entries and Table B with 600,000 entries. The structure is as follows: Table A: +-----------+---------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-----------+---------------------+------+-----+---------+----------------+ | id | bigint(20) unsigned | NO | PRI | NULL | auto_increment | | number | bigint(20) unsigned | YES | | NULL | | +-----------+---------------------+------+-----+---------+----------------+ Table B: +-------------+---------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-------------+---------------------+------+-----+---------+----------------+ | id | bigint(20) unsigned | NO | PRI | NULL | auto_increment | | number_s | bigint(20) unsigned | YES | MUL | NULL | | | number_e | bigint(20) unsigned | YES | MUL | NULL | | | source | varchar(50) | YES | | NULL | | +-------------+---------------------+------+-----+---------+----------------+ I am trying to find if any of the values in Table A are present in Table B using the following code: $sql = "SELECT number from TableA"; $result = mysql_query($sql) or die(mysql_error()); while($row = mysql_fetch_assoc($result)) { $number = $row['number']; $sql = "SELECT source, count(source) FROM TableB WHERE number_s < $number AND number_e > $number GROUP BY source"; $re = mysql_query($sql) or die(mysql_error); while($ro = mysql_fetch_array($re)) { echo $number."\t".$ro[0]."\t".$ro[1]."\n"; } } I was hoping that the query would go fast but then for some reason, it isn't terrible fast. My explain on the select (with a particular value of "number") gives me the following: mysql> explain SELECT source, count(source) FROM TableB WHERE number_s < 1812194440 AND number_e > 1812194440 GROUP BY source; +----+-------------+------------+------+-------------------------+------+---------+------+--------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+------+-------------------------+------+---------+------+--------+----------------------------------------------+ | 1 | SIMPLE | TableB | ALL | number_s,number_e | NULL | NULL | NULL | 696325 | Using where; Using temporary; Using filesort | +----+-------------+------------+------+-------------------------+------+---------+------+--------+----------------------------------------------+ 1 row in set (0.00 sec) Is there any optimization that I can squeeze out of this? I tried writing a stored procedure for the same task but it doesn't even seem to work in the first place... It doesn't give any syntax errors... I tried running it for a day and it was still running which felt odd. CREATE PROCEDURE Filter() Begin DECLARE number BIGINT UNSIGNED; DECLARE x INT; DECLARE done INT DEFAULT 0; DECLARE cur1 CURSOR FOR SELECT number FROM TableA; DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1; CREATE TEMPORARY TABLE IF NOT EXISTS Flags(number bigint unsigned, count int(11)); OPEN cur1; hist_loop: LOOP FETCH cur1 INTO number; SELECT count(*) from TableB WHERE number_s < number AND number_e > number INTO x; IF done = 1 THEN LEAVE hist_loop; END IF; IF x IS NOT NULL AND x>0 THEN INSERT INTO Flags(number, count) VALUES(number, x); END IF; END LOOP hist_loop; CLOSE cur1; END

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• MySql UDF using shared library won't load

  - by Jarrod

  I am attempting to create a mysql UDF which will match a fingerprint using Digital Persona's free linux SDK library. I have written a trivial UDF as a learning experience which worked fine. However, when I added a dependency to Digital Persona's shared object I can no longer get MySql to load my UDF. I added includes to DP's headers and compiled my UDF using: gcc -fPIC -Wall -I/usr/src/mysql-5.0.45-linux-i686-icc-glibc23/include -shared -o dp_udf.so dp_udf.cc I also tried adding the -static argument, but whenever I restart MySql, I get the error: Can't open shared library 'dp_udf.so' (errno: 0 /usr/local/mysql/lib/plugin/dp_udf.so: undefined symbol: MC_verifyFeaturesEx) MC_verifyFeaturesEx is a function defined "dpMatch.h" which I included, and is implemented in libdpfpapi.so which I have tried placing in the same location as my dp_udf.so and in /usr/lib. Am I doing something wrong with my call to gcc (my C++ skills are rusty) or does MySql not allow UDFs to use additional shared objects?

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• MySQL 5.1 implicit cast from now() to a date field

  - by Savageman

  Hello, I have an issue with MySQL 5.1. A datetime data type isn't implicitly casted to match a date column. SELECT * FROM my_table WHERE my_date_field = NOW() This request doesn't return any rows using MySQL 5.1, but works well with version 5.0. If we use CURDATE() instead of NOW() it works both in MySQL 5.0 and MySQL 5.1. If the cast is explicit (CAST(NOW() AS DATE)), it also works both in MySQL 5.0 and MySQL 5.1. The problem only appears with implicit cast from datetime to date. Doesn't anyone already encountered this issue or has a clue about how to solve this problem? I know it's not the best to use NOW() instead of CURTIME(), but this isn't the question here. It is currently used in an application and the purpose is to avoid rewriting everything. Thanks!

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• MySQL indexes: how do they work?

  - by bob-the-destroyer

  I'm a complete newbie with MySQL indexes. I have several MyISAM tables on MySQL 5.0x having utf8 charsets and collations with 100k+ records each. The primary keys are generally integer. Many columns on each table may have duplicate values. I need to quickly count, sum, average, or otherwise perform custom calculations on any number of fields in each table or joined on any number of others. I found this page giving an overview of MySQL index usage: http://dev.mysql.com/doc/refman/5.0/en/mysql-indexes.html, but I'm still not sure I'm using indexes right. Just when I think I've made the perfect index out of a collection of fields I want to calculate against, I get the "index must be under 1000 bytes" error. Can anyone explain how to most efficiently create and use indexes to speed up queries? Caveat: upgrading Mysql is not possible in this case. Using Navicat Light for db administration, but this app isn't required.

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• How to get a list of MySQL views ?

  - by Annan

  I'm looking for a way to list all views in a database. Initially I found and tried an answer on the MySQL forums: SELECT table_name FROM information_schema.views WHERE information_schema.views.table_schema LIKE 'view%'; How ever this doesn't work, returning an empty set. (I know they're in there!) These also fail: mysql> use information_schema; Database changed mysql> select * from views; ERROR 1102 (42000): Incorrect database name 'mysql.bak' mysql> select * from tables; ERROR 1102 (42000): Incorrect database name 'mysql.bak' Why isn't this working?

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• Creating a [materialised]view from generic data in Oracle/Mysql

  - by Andrew White

  I have a generic datamodel with 3 tables CREATE TABLE Properties ( propertyId int(11) NOT NULL AUTO_INCREMENT, name varchar(80) NOT NULL ) CREATE TABLE Customers ( customerId int(11) NOT NULL AUTO_INCREMENT, customerName varchar(80) NOT NULL ) CREATE TABLE PropertyValues ( propertyId int(11) NOT NULL, customerId int(11) NOT NULL, value varchar(80) NOT NULL ) INSERT INTO Properties VALUES (1, 'Age'); INSERT INTO Properties VALUES (2, 'Weight'); INSERT INTO Customers VALUES (1, 'Bob'); INSERT INTO Customers VALUES (2, 'Tom'); INSERT INTO PropertyValues VALUES (1, 1, '34'); INSERT INTO PropertyValues VALUES (2, 1, '80KG'); INSERT INTO PropertyValues VALUES (1, 2, '24'); INSERT INTO PropertyValues VALUES (2, 2, '53KG'); What I would like to do is create a view that has as columns all the ROWS in Properties and has as rows the entries in Customers. The column values are populated from PropertyValues. e.g. customerId Age Weight 1 34 80KG 2 24 53KG I'm thinking I need a stored procedure to do this and perhaps a materialised view (the entries in the table "Properties" change rarely). Any tips?

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• Unable to get multiple connection to MySql on Windows 7

  - by Hussain

  I have installed MySql on windows 7 ... issue is i'm unable to get multiple connection to MySql . If I connect to MySql through command line and at the same time open an other MySql command line client it goes into wait state, as soon as I disconnect the first one later one gets connected. Because of above issues I'm unable to run tomcat in debug mode as it tries to get more than one connection to MySql in debug mode. Previously I was using same version of MySql i.e. 5.1 on vista and it was working fine.

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• Run a SQL Script Against MySQL using Powershell

  - by abarr

  I have a Powershell script that backs up my MySQL DB's each night using mysqldump. This all works fine but I would like to extend the script to update a reporting db (db1) from the backup of the prod db (db2). I have written the following test script but it does not work. I have a feeling the problem is the reading of the sql file to the CommandText but I am not sure how to debug. [system.reflection.assembly]::LoadWithPartialName("MySql.Data") $mysql_server = "localhost" $mysql_user = "root" $mysql_password = "password" write-host "Create coonection to db1" # Connect to MySQL database 'db1' $cn = New-Object -TypeName MySql.Data.MySqlClient.MySqlConnection $cn.ConnectionString = "SERVER=$mysql_server;DATABASE=db1;UID=$mysql_user;PWD=$mysql_password" $cn.Open() write-host "Running backup script against db1" # Run Update Script MySQL $cm = New-Object -TypeName MySql.Data.MySqlClient.MySqlCommand $sql = Get-Content C:\db2.sql $cm.Connection = $cn $cm.CommandText = $sql $cm.ExecuteReader() write-host "Closing Connection" $cn.Close() Any assistance would be appreciated. Thanks.

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• MySQL Password Not Working

  - by 01010011

  Hi, When I enter my password into MySQL Command Line Client, it rejects my password, gives 1 beep and closes the window. Can anyone provide me with a basic troubleshooting list of steps (from simple to progressively more technical) to regain entry into MySQL once and for all. Also, can anyone tell me what can cause my password to suddenly be rejected? I am also running XAMPP and the MySQL service is both installed and running. Thanks in advance. I remember when I first got this problem some months ago, if I recall correctly, I solved it by starting the MySQL service from Windows XP's Administrative Tool (something I did stopped the MySQL service and to this day I don't know what it was). Now the problem has started back again but this time, when I checked Services, the MySQL service was already 'started'. Any assistance will be appreciated. Thanks

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• MySQL InnoDB disappeared, all InnoDB data cant be accessed

  - by dogmatic69

  Mysql (including InnoDB) was working fine, after a restart the other day when mysql starts it says in the logs: 140604 23:36:07 [Note] Plugin 'FEDERATED' is disabled. 140604 23:36:07 [Note] Plugin 'InnoDB' is disabled. In the app it says: SQLSTATE[42000]: Syntax error or access violation: 1286 Unknown storage engine 'InnoDB' Now, according to google this is a very simple fix, just remove the ib_logfile[0|1] files, which I have done and does not do anything. I started by making a full copy of the data dir for testing various 'fixes'. I have also uninstalled mysql and reinstalled it with no change, I just cant get it to run with innodb working anymore :/ # mysql --version mysql Ver 14.14 Distrib 5.5.37, for debian-linux-gnu (x86_64) using readline 6.3 I have also tried the innodb_force_recovery setting, 0 - 6, Any time I run a command on an InnoDB table it says innodb_force_recovery LOGS (from around the time it died) was working here Version: '5.5.37-0ubuntu0.14.04.1' socket: '/var/run/mysqld/mysqld.sock' port: 3306 (Ubuntu) 140530 1:24:22 [Note] /usr/sbin/mysqld: Normal shutdown 140530 1:24:22 [Note] Event Scheduler: Purging the queue. 0 events 140530 1:24:22 InnoDB: Starting shutdown... 140530 1:24:24 InnoDB: Shutdown completed; log sequence number 3345857316 140530 1:24:24 [Note] /usr/sbin/mysqld: Shutdown complete 140530 22:03:12 [Warning] Using unique option prefix myisam-recover instead of myisam-recover-options is deprecated and will be removed in a future release. Please use the full name instead. 140530 22:03:12 [Note] Plugin 'FEDERATED' is disabled. 140530 22:03:12 InnoDB: The InnoDB memory heap is disabled 140530 22:03:12 InnoDB: Mutexes and rw_locks use GCC atomic builtins 140530 22:03:12 InnoDB: Compressed tables use zlib 1.2.8 140530 22:03:12 InnoDB: Using Linux native AIO 140530 22:03:12 InnoDB: Initializing buffer pool, size = 128.0M 140530 22:03:12 InnoDB: Completed initialization of buffer pool 140530 22:03:12 InnoDB: highest supported file format is Barracuda. 140530 22:03:15 InnoDB: Waiting for the background threads to start 140530 22:03:16 InnoDB: 5.5.37 started; log sequence number 3345857316 140530 22:03:16 [Note] Server hostname (bind-address): '192.168.1.20'; port: 3306 140530 22:03:16 [Note] - '192.168.1.20' resolves to '192.168.1.20'; 140530 22:03:16 [Note] Server socket created on IP: '192.168.1.20'. 140530 22:03:16 [Note] Event Scheduler: Loaded 0 events 140530 22:03:16 [Note] /usr/sbin/mysqld: ready for connections. 140602 0:58:39 [Note] Event Scheduler: Purging the queue. 0 events 140602 0:58:39 InnoDB: Starting shutdown... 140602 0:58:41 InnoDB: Shutdown completed; log sequence number 3345954467 140602 0:58:41 [Note] /usr/sbin/mysqld: Shutdown complete does not work anymore 140602 21:45:19 [Warning] Using unique option prefix myisam-recover instead of myisam-recover-options is deprecated and will be removed in a future release. Please use the full name instead. 140602 21:45:19 [Note] Plugin 'FEDERATED' is disabled. 140602 21:45:19 [Note] Plugin 'InnoDB' is disabled. 140602 21:45:19 [Note] Server hostname (bind-address): '192.168.1.20'; port: 3306 140602 21:45:19 [Note] - '192.168.1.20' resolves to '192.168.1.20'; 140602 21:45:19 [Note] Server socket created on IP: '192.168.1.20'. 140602 21:45:19 [Note] Event Scheduler: Loaded 0 events 140602 21:45:19 [Note] /usr/sbin/mysqld: ready for connections.

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