Download Akiban Server

Author: s | 2025-04-24

How to download akiban source code Posted on ; All blueprints Latest blueprints. Akiban Technologies has released Akiban Server 0.5! on Akiban Technologies has released Akiban Server EE 1.0! on Akiban Technologies has reached another major milestone with the release of A Akiban Technologies has released Akiban Server 0.6! on Akiban Technologies will deliver a number of pre-GA releasess with subsets of

C: Akiban source server-test build_installer.cmd Building Akiban Server

SQLAlchemy-AkibanSQLAlchemy-Akiban provides a SQLAlchemy dialect for Akiban, as well asa Core/ORM extension library allowing direct control of Akiban nestedSELECT statements and result sets.RequirementsSQLAlchemy-Akiban depends on:Akiban for Python - thisis an extension for the psycopg2 DBAPI, in order to provide nested result support.SQLAlchemy 0.8 - The dialect has been developed against SQLAlchemy 0.8, whichhas one small API change to support nested result sets. Less criticallyit also supports generation of a WHERE clause using an ORM relationshipattribute (see the example in ORM->Explicit Nesting).ConnectingConnect format is similar to that of a regular Postgresql database:from sqlalchemy import create_engineengine = create_engine("akiban+psycopg2://@localhost:15432/")The Engine above will produce connections when the Engine.connectmethod is called.Nested Result SetsThe dialect introduces a new type called NestedResult, the value ofwhich is a new SQLAlchemy ResultProxy representing a nested result:with engine.begin() as conn: result = conn.execute( "SELECT customer.id, " "(SELECT order.id, order.data " "FROM order " "WHERE customer_id=customer.id) AS order " "FROM customer") for row in result: print "customer id:", row['id'] for order_row in row['order']: print "order id:", order_row['id'] print "order data:", order_row['data']DDL IntegrationCurrently, Akiban requires the GROUPING keyword on all foreign keys. The dialectadds this keyword when emitting DDL for foreign keys:from sqlalchemy import MetaData, Table, Column, String, Integer, ForeignKeymetadata = MetaData()customer = Table('customer', metadata, Column('id', Integer, primary_key=True), Column('name', String(20)),)order = Table('order', metadata, Column('id', Integer, primary_key=True), Column('customer_id', Integer, ForeignKey('customer.id')), Column('order_info', String(20)),)metadata.create_all(conn)Will emit DDL like:CREATE TABLE customer ( id INTEGER NOT NULL GENERATED BY DEFAULT AS IDENTITY, name VARCHAR(20) NULL, PRIMARY KEY (id))CREATE TABLE "order" ( id INTEGER NOT NULL GENERATED BY DEFAULT AS IDENTITY, customer_id INTEGER NULL, order_info VARCHAR(20) NULL, PRIMARY KEY (id), GROUPING FOREIGN KEY(customer_id) REFERENCES customer (id))Nested Select ConstructsMoving up a level, the dialect introduces a new Core construct nestedwhich is an extension of SQLAlchemy's "scalar select" construct. This construct isa drop-in replacement for a standard select() subquery, and is a markerintercepted by the Akiban dialect indicating that column and typing information abouta "nested result" should be carried over from statement to result set:from sqlalchemy import selectfrom sqlalchemy_akiban import nestedsub_stmt = nested([order]).where(order.c.customer_id == customer.c.id).label('o')stmt = select([sub_stmt]).where(customer.c.id == 1)result = conn.execute(stmt)The above will produce SQL like the following:SELECT (SELECT "order".id, "order".customer_id,

C: Akiban source server-test build_installer.cmd Building Akiban

Be powerful too. So can “aspirational” needs, such as nice clothing; a person aspires to fit into a certain sphere, so they’re willing to buy the clothes regardless of other factors.Don’t just aim for “faster, better, cheaper.” That typically represents just an incremental change, and it will only be a matter of time before another company does it faster, better or cheaper than can do it. Instead, aim for breakthrough changes, Skok said — pointing to Akiban as an example. The Boston database technology company has developed an entirely different way to organize data than previously available, one which allows for much faster accessing of data and no re-writing of applications, Skok said. “Akiban is a discontinuous innovation in the database world,” he said.If you’re going to pick a fight, pick a big fight. It’s often just as much effort to go after a small fight as a big one.Disruptive innovation shouldn’t have disruptive adoption. If it’s too hard to adopt an innovation, it may never happen. In the case of databases, most new technologies require application re-writes to take advantage of the technologies, which makes them difficult to adopt, said Akiban CEO David McFarlane.Pursue something you believe in. The best value propositions are developed by people who are uniquely suited to tackle the problem. Skok said he’s seen unlikely people find great business success through their passion for the work.Original article here.

Download akiban-sql-parser--sources.jar : akiban a

The download jar file contains the following class files or Java source files.1.Download jasmine-eos-rules-common-client-1.2.5-sources.jar2.Download jasmine-eos-rules-common-client-1.2.6-sources.jar3.Download jasmine-eos-rules-common-client-1.2.7-sources.jar4.Download jasmine-eos-rules-common-server-1.2.1-m10-sources.jar5.Download jasmine-eos-rules-editor-client-1.2.1-m10-sources.jar6.Download jasmine-eos-rules-editor-client-1.2.1-m4-sources.jar7.Download jasmine-eos-rules-editor-client-1.2.1-m5-sources.jar8.Download jasmine-eos-rules-editor-client-1.2.1-m6-sources.jar9.Download jasmine-eos-rules-editor-client-1.2.1-m7-sources.jar10.Download jasmine-eos-rules-editor-client-1.3.1-sources.jar11.Download jasmine-eos-rules-editor-client-1.3.2-sources.jar12.Download jasmine-eos-rules-editor-client-1.3.3-sources.jar13.Download jasmine-eos-rules-editor-client-1.3.4-sources.jar14.Download jasmine-eos-rules-editor-server-1.2.1-m1-sources.jar15.Download jasmine-eos-rules-editor-server-1.2.1-m2-sources.jar16.Download jasmine-eos-rules-editor-server-1.2.1-m3-sources.jar17.Download jasmine-eos-rules-editor-server-1.2.1-m4-sources.jar18.Download jasmine-eos-rules-editor-server-1.2.1-m8-sources.jar19.Download jasmine-eos-rules-editor-server-1.2.1-m9-sources.jar20.Download jasmine-eos-rules-editor-server-1.3.1-m1-sources.jar21.Download jasmine-eos-rules-enginedashboard-client-1.3.1-m1-sources.jar22.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m10-sources.jar23.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m10.jar24.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m8-sources.jar25.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m8.jar26.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m9-sources.jar27.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m9.jar28.Download jasmine-eos-rules-enginedashboard-server-1.2.2-m1-sources.jar29.Download 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jasmine-eos-rules-enginedashboard-client-1.2.1-m8-sources.jar167.Download jasmine-eos-rules-enginedashboard-client-1.2.1-m9-sources.jar168.Download jasmine-eos-rules-enginedashboard-client-1.3.1-sources.jar169.Download jasmine-eos-rules-enginedashboard-client-1.3.2-sources.jar170.Download jasmine-eos-rules-enginedashboard-client-1.3.3-sources.jar171.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m1-sources.jar172.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m1.jar173.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m2-sources.jar174.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m2.jar175.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m3-sources.jar176.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m3.jar177.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m4-sources.jar178.Download jasmine-eos-rules-enginedashboard-server-1.2.1-m4.jar179.Download jasmine-eos-rules-enginedashboard-server-1.2.1-sources.jar180.Download 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jasmine-eos-rules-manager-client-1.2.1-sources.jar195.Download jasmine-eos-rules-manager-client-1.2.2-sources.jar196.Download jasmine-eos-rules-manager-client-1.2.3-sources.jar197.Download jasmine-eos-rules-manager-client-1.2.4-sources.jar198.Download jasmine-eos-rules-manager-client-1.3.1-sources.jar199.Download jasmine-eos-rules-manager-client-1.3.2-sources.jar200.Download jasmine-eos-rules-manager-client-1.3.3-sources.jar201.Download jasmine-eos-rules-manager-client-1.3.4-sources.jar202.Download jasmine-eos-rules-manager-server-1.2.1-m2-sources.jar203.Download jasmine-eos-rules-manager-server-1.2.2-m1-sources.jar204.Download jasmine-eos-rules-manager-server-1.3.1-m1-sources.jar205.Download jasmine-eos-rules-manager-server-1.3.1-sources.jar206.Download jasmine-eos-rules-manager-server-1.3.2-sources.jar207.Download jasmine-eos-rules-manager-server-1.3.3-sources.jar208.Download jasmine-eos-rules-manager-server-1.3.4-sources.jar209.Download 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How to download akiban source code Posted on ; All blueprints Latest blueprints. Akiban Technologies has released Akiban Server 0.5! on Akiban Technologies has released Akiban Server EE 1.0! on Akiban Technologies has reached another major milestone with the release of A Akiban Technologies has released Akiban Server 0.6! on Akiban Technologies will deliver a number of pre-GA releasess with subsets of

Akiban Server add-on documentation GitHub

"order".order_info FROM "order" WHERE "order".customer_id = customer.id) AS oFROM customer WHERE customer.id = %(id_1)sWithin the result set, nested columns will be targetable not just by column name butalso by column object, and any SQLAlchemy-side type converters in place will take effect for thesecolumns:for row in result: print "customer id:", row[customer.c.id] for order_row in row['order']: print "order id:", order_row[order.c.id] print "order data:", order_row[order.c.data]ORM IntegrationSQLAlchemy-Akiban includes ORM extensions, importable from the sqlalchemy_akiban.orm package.Nested Eager LoadingThe orm.nestedload() and orm.nestedload_all() provide relationship eager loadingmaking usage of an embedded nested result. These are used just like SQLAlchemy's ownorm.joinedload() and orm.subqueryload() functions:from sqlalchemy.orm import relationship, Sessionfrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy_akiban import ormBase = declarative_base()class Customer(Base): __table__ = customer orders = relationship("Order")class Order(Base): __table__ = ordersess = Session(engine)for customer in sess.query(Customer).options(orm.nestedload(Customer.orders)): print "customer:", customer.name print "orders:", customer.ordersExplicit NestingThe orm.orm_nested() function acts just like the core nested() construct,except that it is ORM-aware and accepts a Query object; it will invokeQuery style loading, nested into the tuples returned by Query:sess = Session()n = orm.orm_nested(sess.query(Order.id, Order).filter(Customer.orders))q = sess.query(Customer, n).filter(Customer.id == 1)for customer, orders in q: print "customer:", customer.name print "orders:", ordersAbove, we're taking advantage of a new convenience feature in SQLAlchemy 0.8, which is thatwe can pass the Customer.orders class-level attribute directly to Query.filter()in order to generate a correlated WHERE clause. Alternatively, we could just spell this out:query.filter(Customer.id==Order.customer_id)

Download akiban-sql-parser--sources.jar : akiban - Java2s

Open J. Mod. Hydrol. 2020, 10, 45–64. [Google Scholar]Radmanesh, F.; Hemat, J.P.; Behnia, A.; Khond, A.; Mohamad, B.A. Calibration and assessment of HEC-1 model in Roodzard watershed. In Proceedings of the 17th International Conference of River Engineering, University of Shahid Chamran, Ahva, Iran, 26–28 February 2006; pp. 85–99. [Google Scholar]Abdelkarim, A. Hydrological and Hydraulic Modeling of Floods using Watershed Modeling System (WMS), 1st ed.; Al-Akiban Publishing House: Riyadh, Saudi Arabia, 2020; 484p. [Google Scholar]Quan, V.D.; Kittiwet, K. An Assessment of Potential Climate Change Impacts on Flood Risk in Central Vietnam. Eur. Sci. J. 2015, 1, 667–681. [Google Scholar]Ministry of Land, Infrastructure, Transport and Tourism (MLIT). Manual for Economic Evaluation of Flood Control Investment (Draft); River Bureau, Ministry of Land, Infrastructure, Transport and Tourism: Tokyo, Japan, 2005; pp. 1–65. Available online: (accessed on 23 June 2022).Hamed, Y. The hydrogeochemical characterization of groundwater in Gafsa-Sidi Boubaker region (Southwestern Tunisia). Arab. J. Geosci. 2013, 6, 697–710. [Google Scholar] [CrossRef] Figure 1. Geographical location of the study area. Figure 1. Geographical location of the study area. Figure 2. Flowchart for HEC-HMS methodology. Figure 2. Flowchart for HEC-HMS methodology. Figure 3. Geometric data of Khazir River. Figure 3. Geometric data of Khazir River. Figure 4. Flowchart for HEC-RAS methodology. Figure 4. Flowchart for HEC-RAS methodology. Figure 5. Curve values (intensity, duration, frequency) for the study station. Figure 5. Curve values (intensity, duration, frequency) for the study station. Figure 6. Curve values (intensity, duration, and frequency) for the study station. Figure 6. Curve values (intensity, duration,

GitHub - akibanator/core-keeper-dedicated-server

DBMS > Apache HugeGraph vs. JanusGraphSystem Properties Comparison Apache HugeGraph vs. JanusGraphPlease select another system to include it in the comparison.Our visitors often compare Apache HugeGraph and JanusGraph with Neo4j, RDFox and PostgreSQL.Editorial information provided by DB-EnginesNameApache HugeGraph Xexclude from comparisonJanusGraph successor of Titan Xexclude from comparisonDescriptionA fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters It was forked from the latest code base of Titan in January 2017Primary database modelGraph DBMSGraph DBMSDB-Engines Ranking measures the popularity of database management systemsTrend ChartScore0.25Rank#296 Overall#25 Graph DBMSScore1.73Rank#130 Overall#10 Graph DBMSWebsitegithub.com/­hugegraphhugegraph.apache.orgjanusgraph.orgTechnical documentationhugegraph.apache.org/­docsdocs.janusgraph.orgDeveloperBaiduLinux Foundation; originally developed as Titan by AureliusInitial release20182017Current release0.91.0.0, October 2023License Commercial or Open SourceOpen Source Apache Version 2.0Open Source Apache 2.0Cloud-based only Only available as a cloud servicenonoDBaaS offerings (sponsored links) Database as a ServiceProviders of DBaaS offerings, please contact us to be listed.Implementation languageJavaJavaServer operating systemsLinuxmacOSUnixLinuxOS XUnixWindowsData schemeyesyesTyping predefined data types such as float or dateyesyesXML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoSecondary indexesyes also supports composite index and range indexyesSQL Support of SQLnonoAPIs and other access methodsJava APIRESTful HTTP APITinkerPop GremlinJava APITinkerPop BlueprintsTinkerPop FramesTinkerPop GremlinTinkerPop RexsterSupported programming languagesGroovyJavaPythonClojureJavaPythonServer-side scripts Stored proceduresasynchronous Gremlin script jobsyesTriggersnoyesPartitioning methods Methods for storing different data on different nodesyes depending on used storage backend, e.g. Cassandra and HBaseyes depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Replication methods Methods for redundantly storing data on multiple nodesyes depending on used storage backend, e.g. Cassandra and HBaseyesMapReduce Offers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes via Faunus, a graph analytics engineConsistency concepts Methods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyForeign keys Referential integrityyes edges in graphyes Relationships in graphsTransaction concepts Support to ensure data integrity after non-atomic manipulations of dataACIDACIDConcurrency Support for concurrent manipulation of datayesyesDurability Support for making data persistentyesyes Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastIn-memory capabilities Is there an option to define some or all structures to be held in-memory only.yesUser concepts Access controlUsers, roles and permissionsUser authentification and security via Rexster Graph ServerMore information provided by the system vendorWe invite representatives of system vendors to contact us for updating and extending the system information,and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.Related products and servicesWe invite representatives of vendors of related products to contact us for presenting information about their offerings here.More resourcesApache. How to download akiban source code Posted on ; All blueprints Latest blueprints. Akiban Technologies has released Akiban Server 0.5! on