But for JDK 1. Allows LucidDB to connect to heterogeneous external data sources via foreign data wrappers and access their content as foreign tables. When we compile under 1. Plugin jars are self-installing via deployment descriptors. Allows the system to be backed up consistently while queries and ETL are running, eliminating downtime; incremental and compression options minimize archival storage and bandwidth.
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File: README — Documentation for jdbc-luciddb ()
When we compile under 1. Allows the luciddb to be backed up consistently while queries and ETL are running, eliminating downtime; incremental and compression options minimize archival storage and bandwidth.
For now, luxiddb dummies are just empty interfaces; if we actually want to start implementing some of JDBC 4, we can copy the necessary declarations from java. Otherwise, attempting to compile FarragoJdbcEnginePreparedStatement will result in an import ambiguity error. 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.
JDBC Drivers Reference – Pentaho Documentation
Pentaho Data Integration step. If we omit the new methods, then our code remains incompatible with JDK 1. High performance and greater cache and disk effectiveness because LucidDB can almost always predict exactly which disk blocks are needed to satisfy a query.
Support for JDBC4 methods is limited.
JDBC Drivers Reference
Allows new foreign data wrappers jjdbc. Views Page Discussion View source History. 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.
Allows LucidDB to connect to heterogeneous external data sources via foreign data wrappers and access their content as foreign tables. 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: There have been various attacks on this see Mailing List Discussions. This is by no means exhaustive or ironclad:.
Now, when we compile under 1. Retrieved from ” http: 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 kdbc factory technique described by Julian.
The challenge is that in JDBC 4, some existing java. I grepped around in the 1. I could not find mention of JDBC 4. Plugin jars are self-installing via deployment descriptors.
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. The jTDS driver http: 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.
FRG describes a known issue running on 1. Can scale to number-crunch even the largest datasets in limited RAM via skew-resistant disk-based partitioning. But for JDK 1.
The driver builds, but the majority of new methods are stubbed out. Older versions of postgres appear to use the dynamic proxy approach. The SQLServer download page http: No mention of 1. The next section documents the approach we are actually planning to take. We would like to have a transition period during which both JDK’s are supported. However, bugs like this http: jcbc