<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 ?????????????[service] ??????????CSV ???????S3 ????????AWS Glue ???????????????????????? </p> <h2>[company_name] JDBC driver for [service] ?Amazon S3 ???????????</h2> <p> [company_name] JDBC Driver for [service] ?AWS Glue ???????????????.jar ????(???????????????)?Amazon S3 ?????????????????? </p> <ol> <li> Amazon S3 ???????????</li> <li>??????????????????</li> <li>[??????]?????????</li> <li>JDBC Driver ?.jar ????([company_name|tolower].jdbc.[rootadoname|tolower].jar) ??????????????lib ???????????????????? </ol> <h2>Amazon Glue Job ???</h2> <ol> <li>[??]->[AWS Glue]?????????</li> <li>AWS Glue ???????[ETL]->[???]????????? </li> <li>[??????]??????????Glue ??????????</li> <li>???????????????: <ul> <li><b>??:</b> [rootadoname]GlueJob ?????????</li> <li><b>IAM ???:</b> AWSGlueServiceRole ???? AmazonS3FullAccessSelect ??????IAM ??????(JDBC Driver ?Amazon S3 ?????????)?</li> <li><b>Type:</b> [Spark]????</li> <li>Glue version: ??????????????????</li> <li><b>???????:</b> [?????????????????]????<br> ?????????????:</li> <ul> <li><em>??????????:</em> Glue[rootadoname]JDBC ??????????????</li> <li><em>?????????????S3 ??:</em> S3 ??????????????</li> <li><em>????????:</em> S3 ?????????????</li> </ul> <li><b>ETL ??:</b> [Python]???</li> <li><em>??????????????????????????????</em>????<b>??JARS ??</b>??JDBC ?.jar ?????????????S3 ????????.jar ????? <i>s3://mybucket/cdata.jdbc.[rootadoname|tolower].jar ??????</i></li> </ul></li> <li>[??]????????????AWS ????????????????????????Redshift?MySQL ???????????????????????</li> <li>[???????????????]?????????</li> <li>?????????Python ??????????????????????</li> </ol> <h2>????Glue ?????</h2> <p>[company_name] JDBC driver ?[service] ????????JDBC URL ??????????????????JDBC URL ?<u>RTK</u> ??????????????????RTK ??????????????????CData ????????????? </p> [extraconnectionnotesodbc|def('[extraconnectionnotes|def("")]')] <h4>???????????????</h4> <p>JDBC URL ??????????????????????????????????????.jar ????????????????????????.jar ?????????????????????</p> <code> java -jar cdata.jdbc.[rootadoname|tolower].jar </code> <p> ???????????????s-??????????????????????????????????? </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>[company_name] JDBC driver ?PySpark ??????AWS Glue ??????[service] ?????????S3 ?CSV ????????????????????????.</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> ?????????Glue ????????????????/?????????????AWS Glue ???????????????????????????????S3 ?????[service] ????CSV ?????????????? </p> <p> ?????[company_name] JDBC Driver for [service] ?AWS Glue ?????????[service] ????AWS Glue ??????????????Glue ????????????????JDBC Driver ??????????? </p>. The error was: The attribute does not exist. This formatter cannot be called with nonexistent attributes.<br><b>URL</b>: /jp/kb/tech/freee-jdbc-aws-glue.rst