LogoLogo
SnowflakeDocumentation Home
  • Snowpark Migration Accelerator Documentation
  • General
    • Introduction
    • Getting Started
      • Download and Access
      • Installation
        • Windows Installation
        • MacOS Installation
        • Linux Installation
    • Conversion Software Terms of Use
      • Open Source Libraries
    • Release Notes
      • Old Version Release Notes
        • SC Spark Scala Release Notes
          • Known Issues
        • SC Spark Python Release Notes
          • Known Issues
    • Roadmap
  • User Guide
    • Overview
    • Before Using the SMA
      • Supported Platforms
      • Supported Filetypes
      • Code Extraction
      • Pre-Processing Considerations
    • Project Overview
      • Project Setup
      • Configuration and Settings
      • Tool Execution
    • Assessment
      • How the Assessment Works
      • Assessment Quick Start
      • Understanding the Assessment Summary
      • Readiness Scores
      • Output Reports
        • Curated Reports
        • SMA Inventories
        • Generic Inventories
        • Assessment zip file
      • Output Logs
      • Spark Reference Categories
    • Conversion
      • How the Conversion Works
      • Conversion Quick Start
      • Conversion Setup
      • Understanding the Conversion Assessment and Reporting
      • Output Code
    • Using the SMA CLI
      • Additional Parameters
  • Use Cases
    • Assessment Walkthrough
      • Walkthrough Setup
        • Notes on Code Preparation
      • Running the Tool
      • Interpreting the Assessment Output
        • Assessment Output - In Application
        • Assessment Output - Reports Folder
      • Running the SMA Again
    • Conversion Walkthrough
    • Sample Project
    • Using SMA with Docker
    • SMA CLI Walkthrough
    • SMA-Checkpoints Walkthrough
      • Prerequisites
      • SMA Execution Guide
        • Feature Settings
          • Default Settings
        • SMA-Checkpoints inventories
      • Snowpark-Checkpoints Execution Guide
        • Collection
        • Validation
  • Issue Analysis
    • Approach
    • Issue Code Categorization
    • Issue Codes by Source
      • General
      • Python
        • SPRKPY1000
        • SPRKPY1001
        • SPRKPY1002
        • SPRKPY1003
        • SPRKPY1004
        • SPRKPY1005
        • SPRKPY1006
        • SPRKPY1007
        • SPRKPY1008
        • SPRKPY1009
        • SPRKPY1010
        • SPRKPY1011
        • SPRKPY1012
        • SPRKPY1013
        • SPRKPY1014
        • SPRKPY1015
        • SPRKPY1016
        • SPRKPY1017
        • SPRKPY1018
        • SPRKPY1019
        • SPRKPY1020
        • SPRKPY1021
        • SPRKPY1022
        • SPRKPY1023
        • SPRKPY1024
        • SPRKPY1025
        • SPRKPY1026
        • SPRKPY1027
        • SPRKPY1028
        • SPRKPY1029
        • SPRKPY1030
        • SPRKPY1031
        • SPRKPY1032
        • SPRKPY1033
        • SPRKPY1034
        • SPRKPY1035
        • SPRKPY1036
        • SPRKPY1037
        • SPRKPY1038
        • SPRKPY1039
        • SPRKPY1040
        • SPRKPY1041
        • SPRKPY1042
        • SPRKPY1043
        • SPRKPY1044
        • SPRKPY1045
        • SPRKPY1046
        • SPRKPY1047
        • SPRKPY1048
        • SPRKPY1049
        • SPRKPY1050
        • SPRKPY1051
        • SPRKPY1052
        • SPRKPY1053
        • SPRKPY1054
        • SPRKPY1055
        • SPRKPY1056
        • SPRKPY1057
        • SPRKPY1058
        • SPRKPY1059
        • SPRKPY1060
        • SPRKPY1061
        • SPRKPY1062
        • SPRKPY1063
        • SPRKPY1064
        • SPRKPY1065
        • SPRKPY1066
        • SPRKPY1067
        • SPRKPY1068
        • SPRKPY1069
        • SPRKPY1070
        • SPRKPY1071
        • SPRKPY1072
        • SPRKPY1073
        • SPRKPY1074
        • SPRKPY1075
        • SPRKPY1076
        • SPRKPY1077
        • SPRKPY1078
        • SPRKPY1079
        • SPRKPY1080
        • SPRKPY1081
        • SPRKPY1082
        • SPRKPY1083
        • SPRKPY1084
        • SPRKPY1085
        • SPRKPY1086
        • SPRKPY1087
        • SPRKPY1088
        • SPRKPY1089
        • SPRKPY1091
        • SPRKPY1101
      • Spark Scala
        • SPRKSCL1000
        • SPRKSCL1001
        • SPRKSCL1002
        • SPRKSCL1100
        • SPRKSCL1101
        • SPRKSCL1102
        • SPRKSCL1103
        • SPRKSCL1104
        • SPRKSCL1105
        • SPRKSCL1106
        • SPRKSCL1107
        • SPRKSCL1108
        • SPRKSCL1109
        • SPRKSCL1110
        • SPRKSCL1111
        • SPRKSCL1112
        • SPRKSCL1113
        • SPRKSCL1114
        • SPRKSCL1115
        • SPRKSCL1116
        • SPRKSCL1117
        • SPRKSCL1118
        • SPRKSCL1119
        • SPRKSCL1120
        • SPRKSCL1121
        • SPRKSCL1122
        • SPRKSCL1123
        • SPRKSCL1124
        • SPRKSCL1125
        • SPRKSCL1126
        • SPRKSCL1127
        • SPRKSCL1128
        • SPRKSCL1129
        • SPRKSCL1130
        • SPRKSCL1131
        • SPRKSCL1132
        • SPRKSCL1133
        • SPRKSCL1134
        • SPRKSCL1135
        • SPRKSCL1136
        • SPRKSCL1137
        • SPRKSCL1138
        • SPRKSCL1139
        • SPRKSCL1140
        • SPRKSCL1141
        • SPRKSCL1142
        • SPRKSCL1143
        • SPRKSCL1144
        • SPRKSCL1145
        • SPRKSCL1146
        • SPRKSCL1147
        • SPRKSCL1148
        • SPRKSCL1149
        • SPRKSCL1150
        • SPRKSCL1151
        • SPRKSCL1152
        • SPRKSCL1153
        • SPRKSCL1154
        • SPRKSCL1155
        • SPRKSCL1156
        • SPRKSCL1157
        • SPRKSCL1158
        • SPRKSCL1159
        • SPRKSCL1160
        • SPRKSCL1161
        • SPRKSCL1162
        • SPRKSCL1163
        • SPRKSCL1164
        • SPRKSCL1165
        • SPRKSCL1166
        • SPRKSCL1167
        • SPRKSCL1168
        • SPRKSCL1169
        • SPRKSCL1170
        • SPRKSCL1171
        • SPRKSCL1172
        • SPRKSCL1173
        • SPRKSCL1174
        • SPRKSCL1175
      • SQL
        • SparkSQL
          • SPRKSPSQL1001
          • SPRKSPSQL1002
          • SPRKSPSQL1003
          • SPRKSPSQL1004
          • SPRKSPSQL1005
          • SPRKSPSQL1006
        • Hive
          • SPRKHVSQL1001
          • SPRKHVSQL1002
          • SPRKHVSQL1003
          • SPRKHVSQL1004
          • SPRKHVSQL1005
          • SPRKHVSQL1006
      • Pandas
        • PNDSPY1001
        • PNDSPY1002
        • PNDSPY1003
        • PNDSPY1004
      • DBX
        • SPRKDBX1000
        • SPRKDBX1001
        • SPRKDBX1002
        • SPRKDBX1003
    • Troubleshooting the Output Code
      • Locating Issues
    • Workarounds
    • Deploying the Output Code
  • Translation Reference
    • Translation Reference Overview
    • SIT Tagging
      • SQL statements
    • SQL Embedded code
    • HiveSQL
      • Supported functions
    • Spark SQL
      • Spark SQL DDL
        • Create Table
          • Using
      • Spark SQL DML
        • Merge
        • Select
          • Distinct
          • Values
          • Join
          • Where
          • Group By
          • Union
      • Spark SQL Data Types
      • Supported functions
    • DBX Notebook
      • Dbutils
        • dbutils.notebook.run
        • dbutils.notebook.exit
      • Magic commands
        • %run
  • Workspace Estimator
    • Overview
    • Getting Started
  • INTERACTIVE ASSESSMENT APPLICATION
    • Overview
    • Installation Guide
  • Support
    • General Troubleshooting
      • How do I give SMA permission to the config folder?
      • Invalid Access Code error on VDI
      • How do I give SMA permission to Documents, Desktop, and Downloads folders?
    • Frequently Asked Questions (FAQ)
      • Using SMA with Jupyter Notebooks
      • How to request an access code
      • Sharing the Output with Snowflake
      • DBC files explode
    • Glossary
    • Contact Us
Powered by GitBook
On this page
  • Description
  • Scenario
  • Additional recommendations
  1. Issue Analysis
  2. Issue Codes by Source
  3. Spark Scala

SPRKSCL1168

Spark element with a given argument is not supported.

PreviousSPRKSCL1167NextSPRKSCL1169

Last updated 6 months ago

Message: Spark element with argument(s) value(s) given arguments is not supported.

Category: Warning.

Description

This issue appears when the SMA detects that Spark element with the given parameters is not supported.

Scenario

Input

Below is an example of Spark element which parameter is not supported.

spark.read.format("text").load(path)

Output

The SMA adds the EWI SPRKSCL1168 to the output code to let you know that Spark element with the given parameter is not supported.

/*EWI: SPRKSCL1168 => org.apache.spark.sql.DataFrameReader.format(scala.String) with argument(s) value(s) (spark.format) is not supported*/
spark.read.format("text").load(path)

Recommended fix

For this scenario there is no specific fix.

Additional recommendations

  • For more support, you can email us at or post an issue .

sma-support@snowflake.com
in the SMA