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
  • Description
  • Scenario
  • Additional recommendations
  1. Issue Analysis
  2. Issue Codes by Source
  3. Python

SPRKPY1046

pyspark.sql.functions.monotonically_increasing_id

PreviousSPRKPY1045NextSPRKPY1047

Last updated 6 months ago

This issue code has been deprecated since

Message: pyspark.sql.functions.monotonically_increasing_id has a workaround

Category: Warning.

Description

This issue appears when the tool detects the usage of which has a workaround.

Scenario

Input

Below is an example of the usage of the method monotonically_increasing_id.

from pyspark.sql import functions as F

spark.range(0, 10, 1, 2).select(F.monotonically_increasing_id()).show()

Output

The tool adds the EWI SPRKPY1046 indicating that a workaround can be implemented.

from pyspark.sql import functions as F
#EWI: SPRKPY1046 => pyspark.sql.functions.monotonically_increasing_id has a workaround, see documentation for more info
spark.range(0, 10, 1, 2).select(F.monotonically_increasing_id()).show()

Recommended fix

Update the tool version.

Additional recommendations

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

Spark Conversion Core Version 2.1.22
pyspark.sql.functions.monotonically_increasing_id
sma-support@snowflake.com
in the SMA