Can scale to number-crunch even the largest datasets in limited RAM via skew-resistant disk-based partitioning. Pentaho Data Integration step. Otherwise, attempting to compile FarragoJdbcEnginePreparedStatement will result in an import ambiguity error. 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 general policy for Farrago is to segregate client driver dependencies enforced via macker so that these can be compiled to target older JVM’s. Views Page Discussion View source History. Support for JDBC4 methods is limited.
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But for JDK 1. No mention of 1.
File: README — Documentation for jdbc-luciddb ()
Retrieved from ” http: Allows the system to be lucidxb up consistently while queries and ETL are running, eliminating downtime; incremental and compression options minimize archival storage and bandwidth.
I could not find mention of JDBC 4. 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.
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.
This is jrbc no means exhaustive or ironclad:.
Plugin jars are self-installing via deployment descriptors. The jTDS driver http: The challenge is that in JDBC 4, some existing java. Views Page Discussion View source History. Otherwise, attempting to compile FarragoJdbcEnginePreparedStatement will result in an import ambiguity error.
When we compile under 1. 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.
Jdbc4Transition – LucidDB Wiki
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. Tables lucirdb 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: If we omit the new methods, then our code remains incompatible with JDK 1.
Now, when we compile under 1. Allows LucidDB to connect to heterogeneous external data sources via foreign data wrappers and access their content as foreign tables.
JDBC Drivers Reference
However, bugs like this http: The next section documents the approach we are actually planning to take. The SQLServer download page http: Older versions of postgres appear to use the dynamic proxy approach. There have been various attacks on this see Mailing List Discussions.
Can scale to number-crunch even the largest datasets in limited RAM via skew-resistant disk-based partitioning. FRG describes a known issue running on 1.
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. I grepped around in the 1.
Support for JDBC4 methods is limited. Pentaho Data Integration step. High performance and greater cache and disk effectiveness because LucidDB can almost always predict exactly which disk blocks are needed to satisfy a query. We would like to have a transition period during which both JDK’s are supported. The driver builds, but the majority of new methods are stubbed out.
The general policy for Farrago is to segregate client driver dependencies enforced via macker so that these can be compiled to target jdbcc JVM’s.