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
  • 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
        • 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
        • SPRKDBX1001
    • 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
  • 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
  1. User Guide

Conversion

Convert your source code to Snowflake

PreviousSpark Reference CategoriesNextHow the Conversion Works

Last updated 1 year ago

The Snowpark Migration Accelerator (SMA) always starts by creating an assessment, but it doesn't stop there. The SMA can also convert some elements of a Spark workload to run in Snowpark.

The following topics will be covered in this section.

  • Understanding the Conversion Summary

  • Conversion Output (reports, logs, but most importantly, the code)

  • Working with the Output Code

  • Next Steps

It is important to keep in mind that the SMA will only convert some references from the Spark API to the Snowpark API. It will not convert them all. The SMA team understands this and has built the SMA with that in mind. The SMA puts in issue and error codes into the SMA to better inform the user what they need to do next. This is perhaps the most valuable part of a conversion in the SMA: it converts what it can, and reports on what it can't.

As a result, when doing any conversion, it's essential to understand how to interpret the issues output by the SMA. There is an entire section devoted just to issue analysis including:

All of this will be essential to understand if a conversion is going to be successful.


Time to jump in with conversion. Let's start with how it works.

How the conversion works
Conversion Quick Start
Approach to resolving issues
Issue codes by Source
Troubleshooting through the issues
Dealing with Workarouands
Deploying the output code