LUCIDDB JDBC DRIVER

Views Page Discussion View source History. If we omit the new methods, then our code remains incompatible with JDK 1. I grepped around in the 1. Tables can be loaded directly from external sources via SQL; no separate bulk loader utility is required for performance, loads are never logged at the row-level, yet are fully recoverable via page-level undo ; the SQL: Retrieved from ” http: The general policy for Farrago is to segregate client driver dependencies enforced via macker so that these can be compiled to target older JVM’s. The next section documents the approach we are actually planning to take.

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However, bugs like this http: Tables can be loaded directly from external sources via SQL; no separate bulk loader utility is required for performance, loads are never logged at the row-level, yet are fully recoverable via page-level undo ; the SQL: The rationale is that we would like to be able to support connectivity from as many applications as possible, even older ones stuck on legacy JVM’s.

Can scale to number-crunch even the largest datasets in limited RAM via skew-resistant disk-based partitioning. Now, when we compile under 1. The challenge is that in JDBC 4, some existing java.

Jdbc4Transition

Allows LucidDB to connect to heterogeneous external data sources via foreign data wrappers and access their content as foreign tables. We would like to have a transition period during which both JDK’s are supported. Plugin jars are self-installing via deployment descriptors.

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This is by no means exhaustive or ironclad:. When we compile under 1. The driver builds, but the majority of new methods are stubbed out. Allows new functions and transformations to be developed in Java and hot-plugged into a running LucidDB instance; LucidDB also comes with a companion library of common ETL functions applib.

Support for JDBC4 methods is limited.

LucidDB Features

No mention of 1. Allows new foreign data wrappers e. I could not find mention of JDBC 4. Allows report execution to sync to a particular global database state such as last successful ETL so that queries never see intermediate inconsistent states; enables trickle-feed ETL, and may be used to eliminate the downtime imposition of an ETL window.

Retrieved from ” http: Views Page Discussion View source History. Pentaho Data Integration step. If we omit the new methods, then our code remains incompatible with JDK 1. This means that if we start implementing any of the new JDBC 4 functionality, we’ll need to either compile multiple client driver versions, or figure out how to make a one-size-fits-all client, maybe using the olap4j factory technique described by Julian.

But for JDK 1. FRG describes a known issue running on 1. The SQLServer download page http: For now, the dummies are just empty interfaces; if we actually want to start implementing some of JDBC 4, we can copy the necessary declarations from java.

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Otherwise, attempting to compile FarragoJdbcEnginePreparedStatement will result in an import ambiguity error. Older versions of postgres appear to use the dynamic proxy approach.

High performance and greater cache and disk effectiveness because LucidDB can almost always predict exactly which disk blocks are needed to satisfy a query. Allows the system to be backed up consistently while queries and ETL are running, eliminating downtime; incremental and jcbc options minimize archival storage and bandwidth.

I grepped around in the 1. The general policy for Farrago is to segregate client driver dependencies enforced via macker so that these can be compiled to target older JVM’s. The next section documents the approach we are actually planning to take.

There have been various attacks on this see Mailing List Discussions. The jTDS driver http: