Drop a table in the catalog and completely remove its data by skipping a trash even if it is supported. If the catalog supports views and contains a view for the identifier and not a table, this must not drop the view and must return false. If the catalog supports to purge a table, this method should be overridden. AnalysisException: [UC_COMMAND_NOT_SUPPORTED] Spark higher-order functions are not supported in Unity Catalog.; I'm using a shared cluster with 12.2 LTS Databricks Runtime and unity catalog is enabled.4 Answers Sorted by: 45 I found AnalysisException defined in pyspark.sql.utils. https://spark.apache.org/docs/3.0.1/api/python/_modules/pyspark/sql/utils.html import pyspark.sql.utils try: spark.sql (query) print ("Query executed") except pyspark.sql.utils.AnalysisException: print ("Unable to process your query dude!!") Share Improve this answer4 Answers Sorted by: 45 I found AnalysisException defined in pyspark.sql.utils. https://spark.apache.org/docs/3.0.1/api/python/_modules/pyspark/sql/utils.html import pyspark.sql.utils try: spark.sql (query) print ("Query executed") except pyspark.sql.utils.AnalysisException: print ("Unable to process your query dude!!") Share Improve this answer1 ACCEPTED SOLUTION. @HareshAmin As you correctly said, Impala does not support the mentioned OpenCSVSerde serde. So, you could recreate the table using CTAS, with a storage format that is supported by both Hive and Impala. CREATE TABLE new_table STORED AS PARQUET AS SELECT * FROM aggregate_test;For example, a function catalog that loads functions using reflection and uses Java packages as namespaces is not required to support the methods to create, alter, or drop a namespace. Implementations are allowed to discover the existence of objects or namespaces without throwing NoSuchNamespaceException when no namespace is found.Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers.Nov 15, 2021 · the parser was not defined so I did the following: parser = argparse.ArgumentParser() args = parser.parse_args() An exception has occurred, use %tb to see the full traceback. SystemExit: 2 – Ahmed Abousari go to folder options - > view tab -> and clear the Hide extensions for known file types checkbox. now change the file extension from constr.txt to constr.udl. double click on constr.udl. select the provider as sql from provider tab. enter server name , userid , password and database name in connection tab. and click on test connection button to ...Creating table in Unity Catalog with file scheme <schemeName> is not supported. Instead, please create a federated data source connection using the CREATE CONNECTION command for the same table provider, then create a catalog based on the connection with a CREATE FOREIGN CATALOG command to reference the tables therein. 1 Answer. I tried, pls refer to below SQL - this will work in impala. Only issue i can see is, if hearing_evaluation has multiple patient ids for a given patient id, you need to de-duplicate the data. There can be case when patient id doesnt exist in image table - in such case you need to apply RIGHT JOIN.Aug 28, 2023 · AWS specific options. Provide the following option only if you choose cloudFiles.useNotifications = true and you want Auto Loader to set up the notification services for you: Option. cloudFiles.region. Type: String. The region where the source S3 bucket resides and where the AWS SNS and SQS services will be created. User class threw exception: org.apache.spark.sql.AnalysisException: java.lang.RuntimeException: java.io.IOException: Unable to create directory /tmp/hive/. We run Spark 2.3.2 on Hadoop 3.1.1. We use external ORC tables stored on HDFS. We are encountering an issue on a job run under CRON when issuing the command `sql ("msck repair table db.some ...Nov 8, 2022 · Hi @Kaniz, Seems like DLT dotn talk to unity catolog currently. So , we are thinking either develop while warehouse at DLT or catalog. But I guess DLT dont have data lineage option and catolog dont have change data feed ( cdc - change data capture ) . User class threw exception: org.apache.spark.sql.AnalysisException: java.lang.RuntimeException: java.io.IOException: Unable to create directory /tmp/hive/. We run Spark 2.3.2 on Hadoop 3.1.1. We use external ORC tables stored on HDFS. We are encountering an issue on a job run under CRON when issuing the command `sql ("msck repair table db.some ...AnalysisException: [UC_COMMAND_NOT_SUPPORTED] Spark higher-order functions are not supported in Unity Catalog.; I'm using a shared cluster with 12.2 LTS Databricks Runtime and unity catalog is enabled.4 Answers Sorted by: 45 I found AnalysisException defined in pyspark.sql.utils. https://spark.apache.org/docs/3.0.1/api/python/_modules/pyspark/sql/utils.html import pyspark.sql.utils try: spark.sql (query) print ("Query executed") except pyspark.sql.utils.AnalysisException: print ("Unable to process your query dude!!") Share Improve this answerAug 30, 2023 · The ANALYZE TABLE command does not support views. CATALOG_OPERATION. Catalog <catalogName> does not support <operation>. COMBINATION_QUERY_RESULT_CLAUSES. Combination of ORDER BY/SORT BY/DISTRIBUTE BY/CLUSTER BY. COMMENT_NAMESPACE. Attach a comment to the namespace <namespace>. CREATE_TABLE_STAGING_LOCATION. Create a catalog table in a staging ... Nov 3, 2022 · Azure Synapse Lake Database - Notebook cannot access information_schema. In Synapse Analytics I can write the following SQL script and it works fine: And it throws the error: Error: spark_catalog requires a single-part namespace, but got [dataverse_blob_blob, information_schema] Tried using USE CATALOG and USE SCHEMA to set the catalog/schema ... SQL doesn't support this, but it can be done in python: from pyspark.sql.functions import col # set dataset location and columns with new types table_path = '/mnt ...Spark Exception: There is no Credential Scope. I am new to Databricks and trying to connect to Rstudio Server from my all-purpose compute cluster. Here are the cluster configuration: Policy: Personal Compute Access mode: Single user Databricks run ... apache-spark. databricks. spark-ar-studio. databricks-unity-catalog.Unity Catalog is supported on clusters that run Databricks Runtime 11.3 LTS or above. Unity Catalog is supported by default on all SQL warehouse compute versions. Clusters running on earlier versions of Databricks Runtime do not provide support for all Unity Catalog GA features and functionality.Aug 28, 2023 · AWS specific options. Provide the following option only if you choose cloudFiles.useNotifications = true and you want Auto Loader to set up the notification services for you: Option. cloudFiles.region. Type: String. The region where the source S3 bucket resides and where the AWS SNS and SQS services will be created. I've noticed sometimes in Zeppelin, it doesnt create the hive context correctly, so what you can do to make sure you're doing it correctly is run the following code. val sqlContext = New HiveContext (sc) //your code here. What will happen is we'll create a new HiveContext, and it should fix your problem. I think we're losing the pointer to your ...Creating table in Unity Catalog with file scheme <schemeName> is not supported. Instead, please create a federated data source connection using the CREATE CONNECTION command for the same table provider, then create a catalog based on the connection with a CREATE FOREIGN CATALOG command to reference the tables therein.Jul 26, 2018 · Because you are using \ in the first one and that's being passed as odd syntax to spark. If you want to write multi-line SQL statements, use triple quotes: results5 = spark.sql ("""SELECT appl_stock.Open ,appl_stock.Close FROM appl_stock WHERE appl_stock.Close < 500""") Share. Improve this answer. Not supported in Unity Catalog: ... NAMESPACE_NOT_EMPTY, NAMESPACE_NOT_FOUND, ... Operation not supported in READ ONLY session mode.Exception in thread "main" org.apache.spark.sql.AnalysisException: Operation not allowed: ALTER TABLE RECOVER PARTITIONS only works on table with location provided: `db`.`resultTable`; Note: Altough the error, it created a table with the correct columns. It also created partitions and the table has a location with Parquet files in it (/user ...AWS specific options. Provide the following option only if you choose cloudFiles.useNotifications = true and you want Auto Loader to set up the notification services for you: Option. cloudFiles.region. Type: String. The region where the source S3 bucket resides and where the AWS SNS and SQS services will be created.May 16, 2022 · Solution. Do one of the following: Upgrade the Hive metastore to version 2.3.0. This also resolves problems due to any other Hive bug that is fixed in version 2.3.0. Import the following notebook to your workspace and follow the instructions to replace the datanucleus-rdbms JAR. This notebook is written to upgrade the metastore to version 2.1.1. However, for some reason, the component is throwing a runtime exception. I then end up creating multiple tJDBCRow components , and assigning 1 sql statement to each. As you might imagine, this is not practical. Moreover, I cannot use the database/schema name in the SQL, as I get thrown a "Catalog namespace is not supported." exception.Jun 1, 2018 · Exception in thread "main" org.apache.spark.sql.AnalysisException: Operation not allowed: ALTER TABLE RECOVER PARTITIONS only works on table with location provided: `db`.`resultTable`; Note: Altough the error, it created a table with the correct columns. It also created partitions and the table has a location with Parquet files in it (/user ... Jan 20, 2020 · THANK YOU! This is the answer that keeps on giving. I am using Vectornator to create my SVG files and it outputs a lot of vectornator:layerName So, I went through and every time I found a colon that wasn't in a URL, but was naming something, I changed it to camelCase (like vectornatorLayerName) and the SVG works now! The ANALYZE TABLE command does not support views. CATALOG_OPERATION. Catalog <catalogName> does not support <operation>. COMBINATION_QUERY_RESULT_CLAUSES. Combination of ORDER BY/SORT BY/DISTRIBUTE BY/CLUSTER BY. COMMENT_NAMESPACE. Attach a comment to the namespace <namespace>. CREATE_TABLE_STAGING_LOCATION. Create a catalog table in a staging ...AnalysisException: [UC_COMMAND_NOT_SUPPORTED] Spark higher-order functions are not supported in Unity Catalog.; I'm using a shared cluster with 12.2 LTS Databricks Runtime and unity catalog is enabled.Most probably /delta/events/ directory has some data from the previous run, and this data might have a different schema than the current one, so while loading new data to the same directory you will get such type of exception.create table if not exists map_table like position_map_view; While using this it is giving me operation not allowed errorAnalysisException: Operation not allowed: `CREATE TABLE LIKE` is not supported for Delta tables; 5. How to create a table in databricks from an existing table on SQL. 1.Overview of Unity Catalog. Unity Catalog provides centralized access control, auditing, lineage, and data discovery capabilities across Azure Databricks workspaces. Define once, secure everywhere: Unity Catalog offers a single place to administer data access policies that apply across all workspaces. Standards-compliant security model: Unity ...Sep 23, 2020 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers. In Spark 3.1 or earlier, the namespace field was named database for the builtin catalog, and there is no isTemporary field for v2 catalogs. To restore the old schema with the builtin catalog, you can set spark.sql.legacy.keepCommandOutputSchema to true . 4 Answers Sorted by: 45 I found AnalysisException defined in pyspark.sql.utils. https://spark.apache.org/docs/3.0.1/api/python/_modules/pyspark/sql/utils.html import pyspark.sql.utils try: spark.sql (query) print ("Query executed") except pyspark.sql.utils.AnalysisException: print ("Unable to process your query dude!!") Share Improve this answerFor example, a function catalog that loads functions using reflection and uses Java packages as namespaces is not required to support the methods to create, alter, or drop a namespace. Implementations are allowed to discover the existence of objects or namespaces without throwing NoSuchNamespaceException when no namespace is found. Dec 14, 2022 · [0m18:33:42.551967 [debug] [Thread-1 (]: Databricks adapter: diagnostic-info: org.apache.hive.service.cli.HiveSQLException: Error running query: org.apache.spark.sql.AnalysisException: Catalog namespace is not supported. Enter a name for the group. Click Confirm. When prompted, add users to the group. Add a user or group to a workspace, where they can perform data science, data engineering, and data analysis tasks using the data managed by Unity Catalog: In the sidebar, click Workspaces. On the Permissions tab, click Add permissions.Aug 10, 2023 · To enable Unity Catalog when you create a workspace: As an account admin, log in to the account console. Click Workspaces. Click the Enable Unity Catalog toggle. Select the Metastore. On the confirmation dialog, click Enable. Complete the workspace creation configuration and click Save. Sep 23, 2020 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers. In Spark 3.1 or earlier, the namespace field was named database for the builtin catalog, and there is no isTemporary field for v2 catalogs. To restore the old schema with the builtin catalog, you can set spark.sql.legacy.keepCommandOutputSchema to true . Hi, After installing HDP 2.6.3, I ran Pyspark in the terminal, then initiated a Spark Session, and tried to create a new database (see last line of code: $ pyspark > from pyspark.sql import SparkSession > spark = SparkSession.builder.master("local").appName("test").enableHiveSupport().getOrCreate() ...Jul 21, 2023 · CREATE CATALOG [ IF NOT EXISTS ] <catalog-name> [ MANAGED LOCATION '<location-path>' ] [ COMMENT <comment> ]; For example, to create a catalog named example: CREATE CATALOG IF NOT EXISTS example; Assign privileges to the catalog. See Unity Catalog privileges and securable objects. Python. Run the following SQL command in a notebook. May 22, 2020 · I'm running EMR cluster with the 'AWS Glue Data Catalog as the Metastore for Hive' option enable. Connecting through a Spark Notebook working fine e.g spark.sql("show databases") spark.catalog.setCurrentDatabase(<databasename>) spark.sql... 1 Answer. Sorted by: 2. To be able to store text in your language you have to use nchar or nvarchar data type, which support UNICODE. See: nchar and nvarchar (Transact-SQL) Do not forget to use proper collation. See: Collation and Unicode Support. So, a column name (varchar (50)) should be name (nvarchar (50)), then.Apr 16, 2012 · go to folder options - > view tab -> and clear the Hide extensions for known file types checkbox. now change the file extension from constr.txt to constr.udl. double click on constr.udl. select the provider as sql from provider tab. enter server name , userid , password and database name in connection tab. and click on test connection button to ... Spark Exception: There is no Credential Scope. I am new to Databricks and trying to connect to Rstudio Server from my all-purpose compute cluster. Here are the cluster configuration: Policy: Personal Compute Access mode: Single user Databricks run ... apache-spark. databricks. spark-ar-studio. databricks-unity-catalog.Contact Us. If you still have questions or prefer to get help directly from an agent, please submit a request. We’ll get back to you as soon as possible.Nov 8, 2022 · Hi @Kaniz, Seems like DLT dotn talk to unity catolog currently. So , we are thinking either develop while warehouse at DLT or catalog. But I guess DLT dont have data lineage option and catolog dont have change data feed ( cdc - change data capture ) . But Hive databases like FOODMART are not visible in spark session. I did spark.sql("show databases").show() ; it is not showing Foodmart database, though spark session is having enableHiveSupport. Below i've tried:One of the most important pieces of Spark SQL’s Hive support is interaction with Hive metastore, which enables Spark SQL to access metadata of Hive tables. Starting from Spark 1.4.0, a single binary build of Spark SQL can be used to query different versions of Hive metastores, using the configuration described below. Dec 31, 2019 · This will be implemented the future versions using Spark 3.0. To create a Delta table, you must write out a DataFrame in Delta format. An example in Python being. df.write.format ("delta").save ("/some/data/path") Here's a link to the create table documentation for Python, Scala, and Java. Share. Improve this answer. We have deployed the Databricks RDB loader (version 4.2.1) with a Databricks cluster (DBR 9.1 LTS). Both are up, running and talking to each other and we can see the manifest table has been created correctly. We can also see queries being submitted to the cluster in the SparkUI. However, once the manifest has been created the RDB Loader runs SHOW columns in hive_metastore.snowplow_schema ...I found the problem. I had used access mode None, when it needs Single user or Shared. To create a cluster that can access Unity Catalog, the workspace you are creating the cluster in must be attached to a Unity Catalog metastore and must use a Unity-Catalog-capable access mode (shared or single user).Nov 12, 2021 · I didn't find an easy way of getting CREATE TABLE LIKE to work, but I've got a workaround. On DBR in Databricks you should be able to use SHALLOW CLONE to do something similar: Most probably /delta/events/ directory has some data from the previous run, and this data might have a different schema than the current one, so while loading new data to the same directory you will get such type of exception. If the catalog supports views and contains a view for the old identifier and not a table, this throws NoSuchTableException. Additionally, if the new identifier is a table or a view, this throws TableAlreadyExistsException. If the catalog does not support table renames between namespaces, it throws UnsupportedOperationException.Closing as due to age, but also adding a solution here in case anyone faces similar problem. This should work from different notebooks as long as you define cosmosCatalog parameters as key/value pairs at cluster level instead of in the notebook (in Databricks Advanced Options, spark config), for example:I have used catalog name as my_catalog , database I have created with name db and table name I have given is sampletable , though when I run the job it fails with below error: AnalysisException: The namespace in session catalog must have exactly one name part: my_catalog.db.sampletableRelated Question add prefix to spark rdd elements AnalysisException callUDF() inside withColumn() Spark DataFrame AnalysisException add parent name prefix to dataframe structtype fields add parent column name as prefix to avoid ambiguity add prefix or sufix in nifi tailFile processor AnalysisException when loading a PipelineModel with Spark 3 ...Nov 12, 2021 · I didn't find an easy way of getting CREATE TABLE LIKE to work, but I've got a workaround. On DBR in Databricks you should be able to use SHALLOW CLONE to do something similar: Sep 30, 2022 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers. Creating table in Unity Catalog with file scheme <schemeName> is not supported. Instead, please create a federated data source connection using the CREATE CONNECTION command for the same table provider, then create a catalog based on the connection with a CREATE FOREIGN CATALOG command to reference the tables therein. I'm running EMR cluster with the 'AWS Glue Data Catalog as the Metastore for Hive' option enable. Connecting through a Spark Notebook working fine e.g spark.sql("show databases") spark.catalog.setC...But Hive databases like FOODMART are not visible in spark session. I did spark.sql("show databases").show() ; it is not showing Foodmart database, though spark session is having enableHiveSupport. Below i've tried:The column was not included in the select list of a subquery. The column has been renamed using the table alias or column alias. The column reference is correlated, and you did not specify LATERAL. The column reference is to an object that is not visible because it appears earlier in the same select list or within a scalar subquery. MitigationTeams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsDec 29, 2020 · 2 Answers. Sorted by: 1. According to the official documentation of Databricks about LOAD DATA (highlighting's mine): Loads the data into a Hive SerDe table from the user specified directory or file. According to the exception message (highlighting's mine) you use a Spark SQL table ( datasource table ): AnalysisException: LOAD DATA is not ... Resolved! Importing irregularly formatted json files. HiI'm importing a large collection of json files, the problem is that they are not what I would expect a well-formatted json file to be (although probably still valid), each file consists of only a single record that looks something like this (this i... In the Data pane, on the left, click the catalog name. The main Data Explorer pane defaults to the Catalogs list. You can also select the catalog there. On the Workspaces tab, clear the All workspaces have access checkbox. Click Assign to workspaces and enter or find the workspace you want to assign.Querying with SQL 🔗. In Spark 3, tables use identifiers that include a catalog name. SELECT * FROM prod.db.table; -- catalog: prod, namespace: db, table: table. Metadata tables, like history and snapshots, can use the Iceberg table name as a namespace. For example, to read from the files metadata table for prod.db.table:I've noticed sometimes in Zeppelin, it doesnt create the hive context correctly, so what you can do to make sure you're doing it correctly is run the following code. val sqlContext = New HiveContext (sc) //your code here. What will happen is we'll create a new HiveContext, and it should fix your problem. I think we're losing the pointer to your ...Syntax { USE | SET } CATALOG [ catalog_name | ' catalog_name ' ] Parameter catalog_name Name of the catalog to use. If the catalog does not exist, an exception is thrown. Examples SQLReturned not the time of moments ignored; The past is a ruling you can’t argue: Make time for times that memory will store. Think back to the missed and regret will pour. But now you know all that you should have knew: When there are no more, a moment’s worth more. Events gathered then now play an encore When eyelids dark dive. Thankful are ... Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsDec 14, 2022 · [0m18:33:42.551967 [debug] [Thread-1 (]: Databricks adapter: diagnostic-info: org.apache.hive.service.cli.HiveSQLException: Error running query: org.apache.spark.sql.AnalysisException: Catalog namespace is not supported. Unity Catalog isn't supported in Delta Live Tables yet - as I remember, it's planned to be released really soon. Right now, there is a workaround - you can push data into a location on S3 that then could be added as a table in Unity Catalog external location. P.S.
1 Answer. I tried, pls refer to below SQL - this will work in impala. Only issue i can see is, if hearing_evaluation has multiple patient ids for a given patient id, you need to de-duplicate the data. There can be case when patient id doesnt exist in image table - in such case you need to apply RIGHT JOIN.. Asset map
Sep 28, 2021 · Closing as due to age, but also adding a solution here in case anyone faces similar problem. This should work from different notebooks as long as you define cosmosCatalog parameters as key/value pairs at cluster level instead of in the notebook (in Databricks Advanced Options, spark config), for example: com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException: org.apache.spark.sql.AnalysisException: Catalog namespace is not supported. at com.databricks.sql.managedcatalog.ManagedCatalogErrors$.catalogNamespaceNotSupportException (ManagedCatalogErrors.scala:40)Catalog implementations are not required to maintain the existence of namespaces independent of objects in a namespace. For example, a function catalog that loads functions using reflection and uses Java packages as namespaces is not required to support the methods to create, alter, or drop a namespace. Implementations are allowed to discover ... You’re using untyped Scala UDF, which does not have the input type information. Spark may blindly pass null to the Scala closure with primitive-type argument, and the closure will see the default value of the Java type for the null argument, e.g. udf ( (x: Int) => x, IntegerType), the result is 0 for null input.This is a known bug in Spark. The catalog rule should not be validating the namespace, the catalog should be. It works fine if you use an Iceberg catalog directly that doesn't wrap spark_catalog. We're considering a fix with table names like db.table__history, but it would be great if Spark fixed this bug.In Spark 3.1 or earlier, the namespace field was named database for the builtin catalog, and there is no isTemporary field for v2 catalogs. To restore the old schema with the builtin catalog, you can set spark.sql.legacy.keepCommandOutputSchema to true .Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers.Nov 8, 2022 · Hi @Kaniz, Seems like DLT dotn talk to unity catolog currently. So , we are thinking either develop while warehouse at DLT or catalog. But I guess DLT dont have data lineage option and catolog dont have change data feed ( cdc - change data capture ) . The column was not included in the select list of a subquery. The column has been renamed using the table alias or column alias. The column reference is correlated, and you did not specify LATERAL. The column reference is to an object that is not visible because it appears earlier in the same select list or within a scalar subquery. MitigationMar 23, 2016 · 1 Answer. Sorted by: 2. To be able to store text in your language you have to use nchar or nvarchar data type, which support UNICODE. See: nchar and nvarchar (Transact-SQL) Do not forget to use proper collation. See: Collation and Unicode Support. So, a column name (varchar (50)) should be name (nvarchar (50)), then. Apr 1, 2019 · EDIT: as a first step, if you just wanted to check which columns have whitespace, you could use something like the following: space_cols = [column for column in df.columns if re.findall ('\s*', column) != []] Also, check whether there are any characters that are non-alphanumeric (or space): Enter a name for the group. Click Confirm. When prompted, add users to the group. Add a user or group to a workspace, where they can perform data science, data engineering, and data analysis tasks using the data managed by Unity Catalog: In the sidebar, click Workspaces. On the Permissions tab, click Add permissions.Resolved! Importing irregularly formatted json files. HiI'm importing a large collection of json files, the problem is that they are not what I would expect a well-formatted json file to be (although probably still valid), each file consists of only a single record that looks something like this (this i... Jun 21, 2021 · 0. I'm trying to add multiple spark catalog in spark 3.x and I have a question: Does spark support a feature that allows us to use multiple catalog managed by namespace like this: spark.sql.catalog.<ns1>.conf1=... spark.sql.catalog.<ns1>.conf2=... spark.sql.catalog.<ns2>.conf1=... spark.sql.catalog.<ns2>.conf2=... THANK YOU! This is the answer that keeps on giving. I am using Vectornator to create my SVG files and it outputs a lot of vectornator:layerName So, I went through and every time I found a colon that wasn't in a URL, but was naming something, I changed it to camelCase (like vectornatorLayerName) and the SVG works now!when I amend the code to: args = parser.parse_args('') I got the below error: AttributeError: 'Namespace' object has no attribute 'encodings' but if I made like your code without (''): args = parser.parse_args() I got the below error: An exception has occurred, use %tb to see the full traceback..