<br><b>Code</b>: rsb:print<br><b>Error</b>: Formatter [ rootadoname | tolower() ] failed in the evaluation of <p> AWS Glue ?Amazon ?ETL ???????????????????????????????????????????????????????????AWS Glue ????PySpark ????????????JDBC ????????????????????????????AWS ??????????????????????????[company_name] JDBC Driver for [service] ?Amazon S3 ?????????????[datasource] ??????????CSV ???????S3 ????????AWS Glue ???????????????????????? </p> <h2>[company_name] JDBC driver for [service] ?Amazon S3 ???????????</h2> <p> In order to work with the [company_name] JDBC Driver for [service] in AWS Glue, you will need to store it (and any relevant license files) in a bucket in Amazon S3. </p> <ol> <li>Open the Amazon S3 Console.</li> <li>Select an existing bucket (or create a new one).</li> <li>Click Upload</li> <li>Select the JAR file ([company_name|tolower].jdbc.[rootadoname|tolower].jar) found in the lib directory in the installation location for the driver. </ol> <h2>Amazon Glue Job ???</h2> <ol> <li>Navigate to ETL -> Jobs from the AWS Glue Console.</li> <li>Click Add Job to create a new Glue job.</li> <li>Fill in the Job properties: <ul> <li><b>Name:</b> Fill in a name for the job, for example: [rootadoname]GlueJob.</li> <li><b>IAM Role:</b> Select (or create) an IAM role that has the AWSGlueServiceRole and AmazonS3FullAccess (because the JDBC Driver and destination are in an Amazon S3 bucket) permissions policies.</li> <li><b>Type:</b> Select "Spark."</li> <li><b>This job runs:</b> Select "A new script to be authored by you".<br> Populate the script properties:</li> <ul> <li><em>Script file name:</em> A name for the script file, for example:Glue[rootadoname]JDBC</li> <li><em>S3 path where the script is stored:</em> Fill in or browse to an S3 bucket.</li> <li><em>Temporary directory:</em> Fill in or browse to an S3 bucket.</li> </ul> <li><b>ETL language:</b> Select "Python."</li> <li>Expand <em>Security configuration, script libraries and job parameters (optional)</em>.For <b>Dependent jars path</b>, fill in or browse to the S3 bucket where you loaded the JAR file.Be sure to include the name of the JAR file itself in the path, i.e.: <i>s3://mybucket/cdata.jdbc.[rootadoname|tolower].jar</i></li> </ul></li> <li>Click Next.Here you will have the option to add connection to other AWS endpoints, so if your Destination is Redshift, MySQL, etc, you can create and use connections to those data sources.</li> <li>Click "Save job and edit script" to create the job.</li> <li>In the editor that opens, write a python script for the job.You can use the sample script (see below) as an example.</li> </ol> <h2>????Glue ?????</h2> <p>To connect to [service] using the [company_name] JDBC driver, you will need to create a JDBC URL, populating the necessary connection properties.Additionally, (unless you are using a Beta driver), you will need to set the <u>RTK</u> property in the JDBC URL.You can view the licensing file included in the installation for information on how to set this property. </p> [extraconnectionnotesodbc|def('[extraconnectionnotes|def("")]')] <h4>???????????????</h4> <p>For assistance in constructing the JDBC URL, use the connection string designer built into the [service] JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.</p> <code> java -jar cdata.jdbc.[rootadoname|tolower].jar </code> <p> Fill in the connection properties and copy the connection string to the clipboard. </p> <img src="[x|UrlRootAbs]/kb/articles/jdbc-url-builder-0.png" title="Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)"/> <p> To host the JDBC driver in Amazon S3, you will need a license (full or trial) and a Runtime Key (RTK).For more information on obtaining this license (or a trial), <a href="https://www.cdata.com/company/contact.aspx">contact our sales team</a>. </p> <p>Below is a sample script that uses the [company_name] JDBC driver with the PySpark and AWSGlue modules to extract [datasource] and write it to an S3 bucket in CSV format.Make any changes to the script you need to suit your needs and save the job.</p> <code lang=csharp > import sys from awsglue.transforms import * from awsglue.utils import getResolvedOptions from pyspark.context import SparkContext from awsglue.context import GlueContext from awsglue.dynamicframe import DynamicFrame from awsglue.job import Job args = getResolvedOptions(sys.argv, \['JOB_NAME']) sparkContext = SparkContext() glueContext = GlueContext(sparkContext) sparkSession = glueContext.spark_session ##Use the [company_name] JDBC driver to read [datasource] from the [extable] table into a DataFrame ##Note the populated JDBC URL and driver class name source_df = sparkSession.read.format("jdbc").option("url","jdbc:[rootadoname|tolower]:RTK=5246...;[extraconnectionprops]").option("dbtable","[extable]").option("driver","[company_name|tolower].jdbc.[rootadoname|tolower].[rootadoname]Driver").load() glueJob = Job(glueContext) glueJob.init(args\['JOB_NAME'], args) ##Convert DataFrames to AWS Glue's DynamicFrames Object dynamic_dframe = DynamicFrame.fromDF(source_df, glueContext, "dynamic_df") ##Write the DynamicFrame as a file in CSV format to a folder in an S3 bucket. ##It is possible to write to any Amazon data store (SQL Server, Redshift, etc) by using any previously defined connections. retDatasink4 = glueContext.write_dynamic_frame.from_options(frame = dynamic_dframe, connection_type = "s3", connection_options = {"path": "s3://mybucket/outfiles"}, format = "csv", transformation_ctx = "datasink4") glueJob.commit() </code> <h2>Glue????????</h2> <p> With the script written, we are ready to run the Glue job.Click Run Job and wait for the extract/load to complete.You can view the status of the job from the Jobs page in the AWS Glue Console.Once the Job has succeeded, you will have a csv file in your S3 bucket with data from the [service] [extable] table. </p> <p> Using the [company_name] JDBC Driver for [service] in AWS Glue, you can easily create ETL jobs for [datasource], writing the data to an S3 bucket or loading it into any other AWS data store. </p>. The error was: The attribute does not exist. This formatter cannot be called with nonexistent attributes.<br><b>URL</b>: /jp/kb/tech/qoo10-jdbc-aws-glue.rst