I'm trying to find if one can connect to teradata using H2O. Upon reading some of the basic documentation on H2O, i found that H2O has the ability to connect to relational databases provided they supply a JDBC driver.
Link: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/getting-data-into-h2o.html?highlight=jdbc
However, the documentation suggests: "Currently supported SQL databases are MySQL, PostgreSQL, and MariaDB"
So I'm wondering if H2O can connect to other databases like Teradata because they do have a jdbc driver
Link: https://downloads.teradata.com/download/connectivity/jdbc-driver
-Suhail
The core H2O function importSqlTable in water.jdbc.SQLManager class is called by both h2o.import_sql_table and h2o.import_sql_select (H2O R API - must be similar with Python counterparts). After inspecting importSqlTable source code I found a problem that will likely prevent you from loading with Teradata due to SELECT syntax.
Still I'd suggest trying and reporting in comments on result and error if it fails. When starting H2O server add the following to your command line:
-cp <path_to_h2o_jar>:<path_to_Teradata_jdbc_driver_jar> jdbc.drivers=com.teradata.jdbc.TeraDriver
UPDATE:
Use version Xia (3.22.0.1) - 10/26/2018 or later that fixed JDBC support for Teradata.
Related
I am unable to connect to a kdb+ database in Power BI via the qodbc3 ODBC driver. After selecting Get Data -> Other -> ODBC and selecting a qodbc driver connection that I know works (used without issue by Tableau) I get stuck at the navigator window and there is no option to load a table.
My concern is that kdb driver is not compatible with Power BI which is causing Power BI to not be able to find database tables.
Although this option was not available back when the question was asked, today's solution to this problem would be to use the Simba ODBC Driver:
https://code.kx.com/q/interfaces/odbc-simba/
The primary target for this release is support for:
Tableau (certification compliance included)
PowerBI
Excel
I am using RStudio. Installed a local version of Spark, run a few things, quite happy. Now I am trying to read my actual data from a Cluster, using RStudio Server and a standalone version of Spark. Data is in Cassandra, and I do not know how to connect to it. Can anyone point me to a good primer on how to connect and read that data?
there is a package called crassy and is listed on the official sparklyr site's under Extensions. You can search for crassy in GitHub.
I need to connect to Cassandra Database and Query from there.
I want to know, is there any exist database library for Cassandra in Robot Framework.
Short answer: no, there isn't such.
One of the active (and good) Cassandra drivers for Python is from a company called DataStax, here is its repo - https://github.com/datastax/python-driver. Have in mind it has some peculiarities getting installed and running in the various OSes.
But as it does not (regretfully) adhere to Python Database API, so you cannot just install it and straight ahead use by RF's DatabaseLibrary.
You could/should create your own library wrapping the driver calls (which shouldn't be that hard...).
I have the latest BigQuery ODBC driver installed and setup according to the instruction here
I was able to follow the tutorial and access the data in MS Excel.
However in Qlikview I was unable to see any tables when using the same ODBC connection.
The ODBC driver is functional. What I didn't notice was that I didn't have any dataset created under the BigQuery test project, hence no table was available.
It is still possible to utilize QlikView to access the public data set by adding the query strings in the scripts after the ODBC CONNECT line.
QlikView Edit Script screen
I use Netbeans IDE (6.5) and I have a SQLite 2.x database. I installed a JDBC SQLite driver from zentus.com and added a new driver in Nebeans services panel. Then tried to connect to my database file from Services > Databases using this URL for my database:
jdbc:sqlite:/home/farzad/netbeans/myproject/mydb.sqlite
but it fails to connect. I get this exception:
org.netbeans.modules.db.dataview.meta.DBException: Unable to Connect to database : DatabaseConnection[name='jdbc:sqlite://home/farzad/netbeans/myproject/mydb.sqlite [ on session]']
at org.netbeans.modules.db.dataview.output.SQLExecutionHelper.initialDataLoad(SQLExecutionHelper.java:103)
at org.netbeans.modules.db.dataview.output.DataView.create(DataView.java:101)
at org.netbeans.modules.db.dataview.api.DataView.create(DataView.java:71)
at org.netbeans.modules.db.sql.execute.SQLExecuteHelper.execute(SQLExecuteHelper.java:105)
at org.netbeans.modules.db.sql.loader.SQLEditorSupport$SQLExecutor.run(SQLEditorSupport.java:480)
at org.openide.util.RequestProcessor$Task.run(RequestProcessor.java:572)
[catch] at org.openide.util.RequestProcessor$Processor.run(RequestProcessor.java:997)
What should I do? :(
The current version of Zentus SQLiteJDBC is v053, based on SQLite 3.6.1. It will not open a 2.x SQLite database. Perhaps you can use SQLite 2.x command line tool to .dump your database, and the Sqlite3 command line tool to .load it. The use Zentus SQLiteJDBC to access the new SQLite 3.x database.
Alternatively, use a JDBC driver that supports SQLite 2 such as this one.
It's againg me...
I have made two mistakes during my first attempt. After setting CLASSPATH as a system variable (hope I didn’t broke smth else :)), putting sqlite_jni.dll to the system32 folder and correcting JDBC url I have got a success :)
I also have downloaded their SQLite ODBC wrapper. Installed it and made a connection to my SQLite2 database via ordinary and UTF8 based ODBC driver. I also used built in NetBeans JDBC-ODBC Bridge driver to be able to set up this connection.
All three connections have been created but:
ordinary ODBC driver: I see text data in a wrong encoding. All other columns are displayed correctly
UTF8 ODBC driver: I don’t see text data at all. All other columns are displayed correctly
JDBC driver: I don’t see any column at all. "Select * from my_any_table" always returns an empty single column
I have Russian based data in my database.
So...currently I have returned to sqlite command line interface :))