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        • Validation
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      • SnowConvert
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        • What is a SnowConvert Project?
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        • Command Line Interface
          • Teradata
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          • Renaming feature
      • SnowConvert for Redshift (Preview)
        • How to install the tool
          • Windows
          • MacOS
        • How to update the tool
        • How to inquire about an access code
        • What is a SnowConvert for Redshift project?
          • Project creation
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    • Technical Documentation
      • Understanding Converted Code
        • EWIs
          • General
            • SSC-EWI-0001
            • SSC-EWI-0002
            • SSC-EWI-0003
            • SSC-EWI-0004
            • SSC-EWI-0005
            • SSC-EWI-0006
            • SSC-EWI-0007
            • SSC-EWI-0008
            • SSC-EWI-0009
            • SSC-EWI-0010
            • SSC-EWI-0011
            • SSC-EWI-0012
            • SSC-EWI-0013
            • SSC-EWI-0014
            • SSC-EWI-0015
            • SSC-EWI-0020
            • SSC-EWI-0021
            • SSC-EWI-0022
            • SSC-EWI-0023
            • SSC-EWI-0025
            • SSC-EWI-0026
            • SSC-EWI-0027
            • SSC-EWI-0028
            • SSC-EWI-0030
            • SSC-EWI-0031
            • SSC-EWI-0033
            • SSC-EWI-0034
            • SSC-EWI-0035
            • SSC-EWI-0036
            • SSC-EWI-0040
            • SSC-EWI-0041
            • SSC-EWI-0045
            • SSC-EWI-0046
            • SSC-EWI-0049
            • SSC-EWI-0052
            • SSC-EWI-0053
            • SSC-EWI-0054
            • SSC-EWI-0056
            • SSC-EWI-0058
            • SSC-EWI-0062
            • SSC-EWI-0064
            • SSC-EWI-0066
            • SSC-EWI-0067
            • SSC-EWI-0068
            • SSC-EWI-0073
            • SSC-EWI-0077
            • SSC-EWI-0080
            • SSC-EWI-0084
            • SSC-EWI-0086
            • SSC-EWI-0092
            • SSC-EWI-0094
            • SSC-EWI-0101
            • SSC-EWI-0102
            • SSC-EWI-0107
            • SSC-EWI-0108
            • SSC-EWI-0109
            • SSC-EWI-0110
          • Teradata
            • SSC-EWI-TD0001
            • SSC-EWI-TD0002
            • SSC-EWI-TD0003
            • SSC-EWI-TD0004
            • SSC-EWI-TD0005
            • SSC-EWI-TD0006
            • SSC-EWI-TD0008
            • SSC-EWI-TD0009
            • SSC-EWI-TD0010
            • SSC-EWI-TD0012
            • SSC-EWI-TD0017
            • SSC-EWI-TD0020
            • SSC-EWI-TD0023
            • SSC-EWI-TD0024
            • SSC-EWI-TD0025
            • SSC-EWI-TD0027
            • SSC-EWI-TD0029
            • SSC-EWI-TD0031
            • SSC-EWI-TD0034
            • SSC-EWI-TD0039
            • SSC-EWI-TD0040
            • SSC-EWI-TD0041
            • SSC-EWI-TD0046
            • SSC-EWI-TD0049
            • SSC-EWI-TD0051
            • SSC-EWI-TD0052
            • SSC-EWI-TD0053
            • SSC-EWI-TD0055
            • SSC-EWI-TD0057
            • SSC-EWI-TD0059
            • SSC-EWI-TD0060
            • SSC-EWI-TD0061
            • SSC-EWI-TD0063
            • SSC-EWI-TD0066
            • SSC-EWI-TD0068
            • SSC-EWI-TD0069
            • SSC-EWI-TD0070
            • SSC-EWI-TD0076
            • SSC-EWI-TD0077
            • SSC-EWI-TD0079
            • SSC-EWI-TD0082
            • SSC-EWI-TD0083
            • SSC-EWI-TD0087
            • SSC-EWI-TD0091
          • Oracle
            • SSC-EWI-OR0001
            • SSC-EWI-OR0002
            • SSC-EWI-OR0004
            • SSC-EWI-OR0005
            • SSC-EWI-OR0006
            • SSC-EWI-OR0007
            • SSC-EWI-OR0008
            • SSC-EWI-OR0009
            • SSC-EWI-OR0010
            • SSC-EWI-OR0011
            • SSC-EWI-OR0013
            • SSC-EWI-OR0014
            • SSC-EWI-OR0016
            • SSC-EWI-OR0020
            • SSC-EWI-OR0023
            • SSC-EWI-OR0026
            • SSC-EWI-OR0029
            • SSC-EWI-OR0030
            • SSC-EWI-OR0031
            • SSC-EWI-OR0032
            • SSC-EWI-OR0033
            • SSC-EWI-OR0035
            • SSC-EWI-OR0036
            • SSC-EWI-OR0038
            • SSC-EWI-OR0039
            • SSC-EWI-OR0042
            • SSC-EWI-OR0045
            • SSC-EWI-OR0046
            • SSC-EWI-OR0047
            • SSC-EWI-OR0049
            • SSC-EWI-OR0050
            • SSC-EWI-OR0051
            • SSC-EWI-OR0052
            • SSC-EWI-OR0053
            • SSC-EWI-OR0057
            • SSC-EWI-OR0067
            • SSC-EWI-OR0068
            • SSC-EWI-OR0069
            • SSC-EWI-OR0070
            • SSC-EWI-OR0071
            • SSC-EWI-OR0072
            • SSC-EWI-OR0075
            • SSC-EWI-OR0076
            • SSC-EWI-OR0078
            • SSC-EWI-OR0082
            • SSC-EWI-OR0087
            • SSC-EWI-OR0089
            • SSC-EWI-OR0090
            • SSC-EWI-OR0092
            • SSC-EWI-OR0095
            • SSC-EWI-OR0097
            • SSC-EWI-OR0099
            • SSC-EWI-OR0100
            • SSC-EWI-OR0101
            • SSC-EWI-OR0103
            • SSC-EWI-OR0104
            • SSC-EWI-OR0105
            • SSC-EWI-OR0108
            • SSC-EWI-OR0109
            • SSC-EWI-OR0110
            • SSC-EWI-OR0116
            • SSC-EWI-OR0118
            • SSC-EWI-OR0121
            • SSC-EWI-OR0123
            • SSC-EWI-OR0126
            • SSC-EWI-OR0128
            • SSC-EWI-OR0129
            • SSC-EWI-OR0133
            • SSC-EWI-OR0135
            • SSC-EWI-OR0136
          • Transact-SQL
            • SSC-EWI-TS0001
            • SSC-EWI-TS0002
            • SSC-EWI-TS0003
            • SSC-EWI-TS0009
            • SSC-EWI-TS0010
            • SSC-EWI-TS0013
            • SSC-EWI-TS0016
            • SSC-EWI-TS0017
            • SSC-EWI-TS0023
            • SSC-EWI-TS0024
            • SSC-EWI-TS0025
            • SSC-EWI-TS0026
            • SSC-EWI-TS0032
            • SSC-EWI-TS0034
            • SSC-EWI-TS0035
            • SSC-EWI-TS0036
            • SSC-EWI-TS0037
            • SSC-EWI-TS0039
            • SSC-EWI-TS0041
            • SSC-EWI-TS0043
            • SSC-EWI-TS0044
            • SSC-EWI-TS0045
            • SSC-EWI-TS0046
            • SSC-EWI-TS0047
            • SSC-EWI-TS0049
            • SSC-EWI-TS0055
            • SSC-EWI-TS0056
            • SSC-EWI-TS0057
            • SSC-EWI-TS0060
            • SSC-EWI-TS0061
            • SSC-EWI-TS0063
            • SSC-EWI-TS0067
            • SSC-EWI-TS0070
            • SSC-EWI-TS0072
            • SSC-EWI-TS0073
            • SSC-EWI-TS0074
            • SSC-EWI-TS0075
            • SSC-EWI-TS0076
            • SSC-EWI-TS0077
            • SSC-EWI-TS0078
            • SSC-EWI-TS0079
            • SSC-EWI-TS0080
            • SSC-EWI-TS0081
          • PostgreSQL
            • SSC-EWI-PG0001
            • SSC-EWI-PG0002
            • SSC-EWI-PG0003
            • SSC-EWI-PG0004
            • SSC-EWI-PG0006
            • SSC-EWI-PG0008
            • SSC-EWI-PG0007
            • SSC-EWI-PG0009
            • SSC-EWI-PG0010
            • SSC-EWI-PG0011
            • SSC-EWI-PG0012
            • SSC-EWI-PG0014
            • SSC-EWI-PG0015
            • SSC-EWI-PG0016
          • Redshift
            • SSC-EWI-RS0002
            • SSC-EWI-RS0003
            • SSC-EWI-RS0004
            • SSC-EWI-RS0005
            • SSC-EWI-RS0006
            • SSC-EWI-RS0007
            • SSC-EWI-RS0008
            • SSC-EWI-RS0009
          • Sybase IQ
            • SSC-EWI-SY0001
            • SSC-EWI-SY0002
            • SSC-EWI-SY0003
            • SSC-EWI-SY0004
            • SSC-EWI-SY0005
            • SSC-EWI-SY0006
            • SSC-EWI-SY0007
            • SSC-EWI-SY0008
            • SSC-EWI-SY0009
          • BigQuery
            • SSC-EWI-BQ0001
            • SSC-EWI-BQ0002
            • SSC-EWI-BQ0003
            • SSC-EWI-BQ0004
            • SSC-EWI-BQ0005
            • SSC-EWI-BQ0006
            • SSC-EWI-BQ0007
            • SSC-EWI-BQ0008
            • SSC-EWI-BQ0009
            • SSC-EWI-BQ0011
            • SSC-EWI-BQ0012
            • SSC-EWI-BQ0013
            • SSC-EWI-BQ0014
            • SSC-EWI-BQ0015
          • Greenplum
          • Spark
            • SSC-EWI-SPK0001
          • Hive
            • SSC-EWI-HV0001
        • Functional Difference Messages
          • General
            • SSC-FDM-0001
            • SSC-FDM-0002
            • SSC-FDM-0003
            • SSC-FDM-0004
            • SSC-FDM-0005
            • SSC-FDM-0006
            • SSC-FDM-0007
            • SSC-FDM-0008
            • SSC-FDM-0009
            • SSC-FDM-0010
            • SSC-FDM-0011
            • SSC-FDM-0012
            • SSC-FDM-0013
            • SSC-FDM-0014
            • SSC-FDM-0015
            • SSC-FDM-0016
            • SSC-FDM-0017
            • SSC-FDM-0018
            • SSC-FDM-0019
            • SSC-FDM-0020
            • SSC-FDM-0021
            • SSC-FDM-0022
            • SSC-FDM-0023
            • SSC-FDM-0024
            • SSC-FDM-0026
            • SSC-FDM-0027
            • SSC-FDM-0028
            • SSC-FDM-0029
            • SSC-FDM-0030
            • SSC-FDM-0031
            • SSC-FDM-0032
            • SSC-FDM-0033
            • SSC-FDM-0034
          • Teradata
            • SSC-FDM-TD0001
            • SSC-FDM-TD0002
            • SSC-FDM-TD0003
            • SSC-FDM-TD0004
            • SSC-FDM-TD0005
            • SSC-FDM-TD0006
            • SSC-FDM-TD0007
            • SSC-FDM-TD0008
            • SSC-FDM-TD0009
            • SSC-FDM-TD0010
            • SSC-FDM-TD0011
            • SSC-FDM-TD0012
            • SSC-FDM-TD0013
            • SSC-FDM-TD0014
            • SSC-FDM-TD0015
            • SSC-FDM-TD0016
            • SSC-FDM-TD0017
            • SSC-FDM-TD0018
            • SSC-FDM-TD0019
            • SSC-FDM-TD0020
            • SSC-FDM-TD0021
            • SSC-FDM-TD0022
            • SSC-FDM-TD0023
            • SSC-FDM-TD0024
            • SSC-FDM-TD0025
            • SSC-FDM-TD0026
            • SSC-FDM-TD0027
            • SSC-FDM-TD0028
            • SSC-FDM-TD0029
            • SSC-FDM-TD0030
            • SSC-FDM-TD0031
            • SSC-FDM-TD0032
            • SSC-FDM-TD0033
          • Oracle
            • SSC-FDM-OR0001
            • SSC-FDM-OR0002
            • SSC-FDM-OR0003
            • SSC-FDM-OR0004
            • SSC-FDM-OR0005
            • SSC-FDM-OR0006
            • SSC-FDM-OR0007
            • SSC-FDM-OR0008
            • SSC-FDM-OR0009
            • SSC-FDM-OR0010
            • SSC-FDM-OR0011
            • SSC-FDM-OR0012
            • SSC-FDM-OR0013
            • SSC-FDM-OR0014
            • SSC-FDM-OR0015
            • SSC-FDM-OR0016
            • SSC-FDM-OR0017
            • SSC-FDM-OR0018
            • SSC-FDM-OR0019
            • SSC-FDM-OR0020
            • SSC-FDM-OR0021
            • SSC-FDM-OR0022
            • SSC-FDM-OR0023
            • SSC-FDM-OR0024
            • SSC-FDM-OR0025
            • SSC-FDM-OR0026
            • SSC-FDM-OR0027
            • SSC-FDM-OR0028
            • SSC-FDM-OR0029
            • SSC-FDM-OR0030
            • SSC-FDM-OR0031
            • SSC-FDM-OR0032
            • SSC-FDM-OR0033
            • SSC-FDM-OR0034
            • SSC-FDM-OR0035
            • SSC-FDM-OR0036
            • SSC-FDM-OR0037
            • SSC-FDM-OR0038
            • SSC-FDM-OR0039
            • SSC-FDM-OR0040
            • SSC-FDM-OR0041
            • SSC-FDM-OR0042
            • SSC-FDM-OR0043
            • SSC-FDM-OR0044
            • SSC-FDM-OR0045
            • SSC-FDM-OR0046
            • SSC-FDM-OR0047
            • SSC-FDM-OR0049
          • Transact-SQL
            • SSC-FDM-TS0001
            • SSC-FDM-TS0002
            • SSC-FDM-TS0003
            • SSC-FDM-TS0004
            • SSC-FDM-TS0005
            • SSC-FDM-TS0006
            • SSC-FDM-TS0007
            • SSC-FDM-TS0008
            • SSC-FDM-TS0009
            • SSC-FDM-TS0010
            • SSC-FDM-TS0011
            • SSC-FDM-TS0012
            • SSC-FDM-TS0013
            • SSC-FDM-TS0014
            • SSC-FDM-TS0015
            • SSC-FDM-TS0016
            • SSC-FDM-TS0017
            • SSC-FDM-TS0018
            • SSC-FDM-TS0019
            • SSC-FDM-TS0020
            • SSC-FDM-TS0021
            • SSC-FDM-TS0022
            • SSC-FDM-TS0023
            • SSC-FDM-TS0024
            • SSC-FDM-TS0025
            • SSC-FDM-TS0026
            • SSC-FDM-TS0027
            • SSC-FDM-TS0028
            • SSC-FDM-TS0029
            • SSC-FDM-TS0030
            • SSC-FDM-TS0031
          • PostgreSQL
            • SSC-FDM-PG0001
            • SSC-FDM-PG0002
            • SSC-FDM-PG0003
            • SSC-FDM-PG0004
            • SSC-FDM-PG0005
            • SSC-FDM-PG0006
            • SSC-FDM-PG0007
            • SSC-FDM-PG0008
            • SSC-FDM-PG0009
            • SSC-FDM-PG0010
            • SSC-FDM-PG0011
            • SSC-FDM-PG0012
            • SSC-FDM-PG0013
            • SSC-FDM-PG0014
            • SSC-FDM-PG0015
            • SSC-FDM-PG0016
          • Redshift
            • SSC-FDM-RS0001
            • SSC-FDM-RS0002
            • SSC-FDM-RS0003
            • SSC-FDM-RS0004
            • SSC-FDM-RS0005
            • SSC-FDM-RS0006
            • SSC-FDM-RS0007
            • SSC-FDM-RS0008
          • Sybase IQ
            • SSC-FDM-SY0001
            • SSC-FDM-SY0002
          • BigQuery
            • SSC-FDM-BQ0001
            • SSC-FDM-BQ0002
            • SSC-FDM-BQ0003
            • SSC-FDM-BQ0004
            • SSC-FDM-BQ0005
            • SSC-FDM-BQ0006
            • SSC-FDM-BQ0007
            • SSC-FDM-BQ0008
            • SSC-FDM-BQ0010
          • Greenplum
            • SSC-FDM-GP0001
        • Performance Review Messages
          • General
            • SSC-PRF-0001
            • SSC-PRF-0002
            • SSC-PRF-0003
            • SSC-PRF-0004
            • SSC-PRF-0005
            • SSC-PRF-0006
            • SSC-PRF-0007
          • Teradata
          • Oracle
          • Transact-SQL
            • SSC-PRF-TS0001
        • Out-of-Scope
          • SSC-OOS-0001
      • Function References
        • SnowConvert UDFs
        • Oracle
          • BFILENAME_UDF
          • CAST_DATE_UDF
          • CLOSE_BULK_CURSOR_UDF
          • DATE_TO_JULIAN_DAYS_UDF
          • DATE_TO_RR_FORMAT_UDF
          • DATEADD_UDF (DATE, FLOAT)
          • DATEADD_UDF (FLOAT, DATE)
          • DATEADD_UDF (TIMESTAMP, FLOAT)
          • DATEADD_UDF (FLOAT, TIMESTAMP)
          • DATEDIFF_UDF(DATE, DATE)
          • DATEDIFF_UDF(DATE, TIMESTAMP)
          • DATEDIFF_UDF(DATE, INTEGER)
          • DATEDIFF_UDF(TIMESTAMP, TIMESTAMP)
          • DATEDIFF_UDF(TIMESTAMP, DATE)
          • DATEDIFF_UDF(TIMESTAMP, NUMBER)
          • DBMS_OUTPUT.PUT_LINE_UDF
          • DBMS_RANDOM.VALUE_UDF
          • DBMS_RANDOM.VALUE_UDF (DOUBLE, DOUBLE)
          • FETCH_BULK_COLLECTION_RECORDS_UDF (OBJECT, FLOAT, ARRAY)
          • FETCH_BULK_COLLECTION_RECORDS_UDF (OBJECT)
          • FETCH_BULK_COLLECTION_RECORDS_UDF (OBJECT, INTEGER)
          • FETCH_BULK_COLLECTION_RECORDS_UDF (OBJECT, ARRAY)
          • FETCH_BULK_COLLECTIONS_UDF (OBJECT, FLOAT)
          • FETCH_BULK_COLLECTIONS_UDF (OBJECT)
          • FETCH_BULK_RECORD_COLLECTIONS_UDF (OBJECT, FLOAT, ARRAY)
          • FETCH_BULK_RECORD_COLLECTIONS_UDF (OBJECT)
          • FETCH_BULK_RECORD_COLLECTIONS_UDF (OBJECT, INTEGER)
          • FETCH_BULK_RECORD_COLLECTIONS_UDF (OBJECT, ARRAY)
          • INIT_CURSOR_UDF
          • JSON_VALUE_UDF
          • JULIAN_TO_GREGORIAN_DATE_UDF
          • OPEN_BULK_CURSOR_UDF (OBJECT, ARRAY)
          • OPEN_BULK_CURSOR_UDF (OBJECT)
          • REGEXP_LIKE_UDF (STRING, STRING, STRING)
          • REGEXP_LIKE_UDF (STRING, STRING)
          • TIMESTAMP_DIFF_UDF
          • UPDATE_PACKAGE_VARIABLE_STATE_UDF
          • UTL_FILE.FCLOSE_UDF
          • UTL_FILE.FOPEN_UDF (VARCHAR,VARCHAR)
          • UTL_FILE.FOPEN_UDF (VARCHAR, VARCHAR, VARCHAR)
          • UTL_FILE.PUT_LINE_UDF
        • Shared
          • DATEADD_UDF (DATE, STRING)
          • DATEADD_UDF (TIMESTAMP, STRING)
          • DATEADD_UDF (STRING, DATE)
          • DATEADD_UDF (STRING, TIMESTAMP)
          • DATEDIFF_UDF (DATE, STRING)
          • DATEDIFF_UDF (TIMESTAMP, STRING)
          • DATEDIFF_UDF (STRING, DATE)
          • DATEDIFF_UDF (STRING, TIMESTAMP)
          • INTERVAL_ADD_UDF (VARCHAR, VARCHAR, VARCHAR, VARCHAR, CHAR, VARCHAR)
          • INTERVAL_MULTIPLY_UDF (VARCHAR, VARCHAR, INTEGER)
          • INTERVAL_TO_MONTHS_UDF (VARCHAR)
          • INTERVAL_TO_SECONDS_UDF (VARCHAR, VARCHAR)
          • MONTHS_TO_INTERVAL_UDF (VARCHAR, NUMBER)
          • SECONDS_TO_INTERVAL_UDF (VARCHAR, NUMBER)
          • TO_INTERVAL_UDF (TIME)
          • TRUNC_UDF (TIMESTAMP_LTZ, VARCHAR)
          • TRUNC_UDF (NUMBER, NUMBER)
          • TRUNC_UDF (NUMBER)
          • TRUNC_UDF (TIMESTAMP_LTZ)
        • Transact-SQL
          • CAST_NUMERIC_TO_TIMESTAMP_TZ_UDF (NUMBER)
          • CAST_TIME_TO_TIMESTAMP_TZ_UDF (TIME)
          • CAST_TIMESTAMP_TZ_TO_NUMERIC_UDF (TIMESTAMP_TZ)
          • CONSTRAINT_OBJECT_ID_UDF (VARCHAR)
          • DB_ID_UDF(STRING)
          • ERROR_LINE_UDF
          • ERROR_NUMBER_UDF
          • ERROR_PROCEDURE_UDF
          • ERROR_SEVERITY_UDF
          • ERROR_STATE_UDF
          • FORMATMESSAGE_UDF
          • FUNCTION_OBJECT_ID_UDF (VARCHAR)
          • GET_CURRENT_TIMEZONE_UDF
          • IDENTITY_UDF
          • IS_MEMBER_UDF
          • ISDATE_UDF
          • ISNUMERIC_UDF
          • OBJECT_ID_UDF (VARCHAR)
          • OFFSET_FORMATTER (VARCHAR)
          • OPENXML_UDF
          • PARSENAME_UDF
          • PATINDEX_UDF
          • PROCEDURE_OBJECT_ID_UDF (VARCHAR)
          • QUOTENAME_UDF (VARCHAR, VARCHAR)
          • QUOTENAME_UDF (VARCHAR)
          • RAISERROR_UDF (DOUBLE, DOUBLE, DOUBLE, ARRAY)
          • RAISERROR_UDF (VARCHAR, DOUBLE, DOUBLE, ARRAY)
          • ROUND_MILLISECONDS_UDF (TIMESTAMP_TZ)
          • SEQUENCE_OBJECT_ID_UDF (VARCHAR)
          • STR_UDF (FLOAT, VARCHAR)
          • STR_UDF(FLOAT)
          • SUBTRACT_TIMESTAMP_TZ_UDF (TIMESTAMP_TZ, TIMESTAMP_TZ)
          • SUM_TIMESTAMP_TZ_UDF (TIMESTAMP_TZ, TIMESTAMP_TZ)
          • SWITCHOFFSET_UDF (TIMESTAMP_TZ, VARCHAR)
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On this page
  • Column Size differences
  • Case 1 - one single column: UNION ALL for a column varchar (20) over a column varchar (10)
  • Case 2 - one single column: UNION ALL for a column varchar (10) over a column varchar (20)
  • Case 3 - multiple columns - same size by table: UNION ALL for columns varchar (20) over columns varchar (10)
  • Case 4 - multiple columns - same size by table: UNION ALL for columns varchar (10) over columns varchar (20)
  • Case 5 - multiple columns - different sizes by table: UNION ALL for columns varchar (10) over columns varchar (20)
  • Case 6 - multiple columns - different sizes by table: UNION ALL for columns varchar (20), varchar(10) over columns varchar (10), varchar(5)
  • Case 7 - multiple columns expression - different sizes by table: UNION ALL for columns varchar (20), varchar(20) over columns varchar (10), varchar(10)
  • Case 8 - multiple columns expression - different sizes by table: UNION ALL for columns varchar (20), varchar(20) over columns varchar (10), varchar(10)
  • Other considerations about column size differences
  1. Translation References
  2. Teradata
  3. Data Migration Considerations

UNION ALL Data Migration

Data migration considerations for UNION ALL.

PreviousData Migration ConsiderationsNextSession Modes in Teradata

Last updated 7 months ago

UNION ALL is a SQL operator that allows the combination of multiple resultsets. The syntax is the following:

query_expression_1 UNION [ ALL ] query_expression_2

For more information, please review the following documentation.

Column Size differences

Even though the operator is translated into the same operator in Snowflake, there could be detailed differences in functional equivalence. For example, the union of different columns which have different column sizes. Teradata does truncate the values when the first SELECT statement contains less space in the columns.

Teradata behavior

Same behavior in ANSI and TERA session modes.

For this example, the following input will show the Teradata behavior.

CREATE TABLE table1
(
col1 VARCHAR(20)
);

INSERT INTO table1 VALUES('value 1 abcdefghijk');
INSERT INTO table1 VALUES('value 2 abcdefghijk');

CREATE TABLE table2
(
col1 VARCHAR(10)
);

INSERT INTO table2 VALUES('t2 row 1 a');
INSERT INTO table2 VALUES('t2 row 2 a');
INSERT INTO table2 VALUES('t2 row 3 a');
CREATE OR REPLACE TABLE table1
(
col1 VARCHAR(20)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "teradata",  "convertedOn": "10/14/2024" }}'
;

INSERT INTO table1
VALUES ('value 1 abcdefghijk');

INSERT INTO table1
VALUES ('value 2 abcdefghijk');

CREATE OR REPLACE TABLE table2
(
col1 VARCHAR(10)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "teradata",  "convertedOn": "10/14/2024" }}'
;

INSERT INTO table2
VALUES ('t2 row 1 a');

INSERT INTO table2
VALUES ('t2 row 2 a');

INSERT INTO table2
VALUES ('t2 row 3 a');

Case 1 - one single column: UNION ALL for a column varchar (20) over a column varchar (10)

For this case, the functional equivalence is the same

SELECT col1 FROM table1
UNION ALL
SELECT col1 FROM table2;
value 1 abcdefghijk
t2 row 3 a
value 2 abcdefghijk
t2 row 1 a
t2 row 2 a
SELECT
col1 FROM
table1
UNION ALL
SELECT
col1 FROM
table2;
value 1 abcdefghijk
t2 row 3 a
value 2 abcdefghijk
t2 row 1 a
t2 row 2 a

Case 2 - one single column: UNION ALL for a column varchar (10) over a column varchar (20)

In this case, the function equivalence is not the same.

The following case does not show functional equivalence in Snowflake. The column values should be truncated as in the Teradata sample.

SELECT col1 FROM table2
UNION ALL
SELECT col1 FROM table1;
t2 row 3 a
value 1 ab --> truncated
t2 row 1 a
t2 row 2 a
value 2 ab --> truncated
SELECT
col1 FROM
table2
UNION ALL
SELECT
col1 FROM
table1;
t2 row 3 a
value 1 abcdefghijk --> NOT truncated
t2 row 1 a
t2 row 2 a
value 2 abcdefghijk --> NOT truncated

Workaround to get the same functionality

SELECT col1 FROM table2 -- size (10)
UNION ALL
SELECT LEFT(col1, 10) AS col1 FROM table1;
t2 row 1 a
t2 row 2 a
t2 row 3 a
value 1 ab
value 2 ab

Case 3 - multiple columns - same size by table: UNION ALL for columns varchar (20) over columns varchar (10)

For this case, it is required to set up new data as follows:

CREATE TABLE table3
(
col1 VARCHAR(20),
col2 VARCHAR(20)
);

INSERT INTO table3 VALUES('value 1 abcdefghijk', 'value 1 abcdefghijk');
INSERT INTO table3 VALUES('value 2 abcdefghijk', 'value 2 abcdefghijk');

CREATE TABLE table4
(
col1 VARCHAR(10),
col2 VARCHAR(10)
);

INSERT INTO table4 VALUES('t2 row 1 a', 't2 row 1 b');
INSERT INTO table4 VALUES('t2 row 2 a', 't2 row 2 b');
INSERT INTO table4 VALUES('t2 row 3 a', 't2 row 3 b');
CREATE OR REPLACE TABLE table3
(
col1 VARCHAR(20),
col2 VARCHAR(20)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "teradata",  "convertedOn": "10/14/2024" }}'
;

INSERT INTO table3
VALUES ('value 1 abcdefghijk', 'value 1 abcdefghijk');

INSERT INTO table3
VALUES ('value 2 abcdefghijk', 'value 2 abcdefghijk');

CREATE OR REPLACE TABLE table4
(
col1 VARCHAR(10),
col2 VARCHAR(10)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "teradata",  "convertedOn": "10/14/2024" }}'
;

INSERT INTO table4
VALUES ('t2 row 1 a', 't2 row 1 b');

INSERT INTO table4
VALUES ('t2 row 2 a', 't2 row 2 b');

INSERT INTO table4
VALUES ('t2 row 3 a', 't2 row 3 b');

Once the new tables and data are created, the following query can be evaluated.

For this case, the functional equivalence is the same

select col1, col2 from table3
union all
select col1, col2 from table4;
col1
col2

value 1 abcdefghijk

value 1 abcdefghijk

t2 row 3 a

t2 row 3 b

value 2 abcdefghijk

value 2 abcdefghijk

t2 row 1 a

t2 row 1 b

t2 row 2 a

t2 row 2 b

SELECT
col1, col2 FROM
table3
UNION ALL
SELECT
col1, col2 FROM
table4;
col1
col2

value 1 abcdefghijk

value 1 abcdefghijk

value 2 abcdefghijk

value 2 abcdefghijk

t2 row 1 a

t2 row 1 b

t2 row 2 a

t2 row 2 b

t2 row 3 a

t2 row 3 b

Case 4 - multiple columns - same size by table: UNION ALL for columns varchar (10) over columns varchar (20)

In this case, the function equivalence is not the same.

select col1, col2 from table4
union all
select col1, col2 from table3;
col1
col2

t2 row 3 a

t2 row 3 b

value 1 ab

value 1 ab

t2 row 1 a

t2 row 1 b

t2 row 2 a

t2 row 2 b

value 2 ab

value 2 ab

SELECT
col1, col2 FROM
table4
UNION ALL
SELECT
col1, col2 FROM
table3;
col1
col2

t2 row 1 a

t2 row 1 b

t2 row 2 a

t2 row 2 b

t2 row 3 a

t2 row 3 b

value 1 abcdefghijk

value 1 abcdefghijk

value 2 abcdefghijk

value 2 abcdefghijk

Workaround to get the same functionality

Apply the column size to the second SELECT on the columns to get the same functionality.

SELECT col1, col2 FROM table4 -- size (10)
UNION ALL
SELECT LEFT(col1, 10) AS col1, LEFT(col2, 10) AS col2 FROM table3;
col1
col2

t2 row 1 a

t2 row 1 b

t2 row 2 a

t2 row 2 b

t2 row 3 a

t2 row 3 b

value 1 ab

value 1 ab

value 2 ab

value 2 ab

Case 5 - multiple columns - different sizes by table: UNION ALL for columns varchar (10) over columns varchar (20)

For this case, it is required to set up new data as follows:

CREATE TABLE table5
(
col1 VARCHAR(20),
col2 VARCHAR(12)
);

INSERT INTO table5 VALUES('value 1 abcdefghijk', 'value 1 abcdefghijk');
INSERT INTO table5 VALUES('value 2 abcdefghijk', 'value 2 abcdefghijk');

CREATE TABLE table6
(
col1 VARCHAR(10),
col2 VARCHAR(5)
);

INSERT INTO table6 VALUES('t2 row 1 a', 't2 row 1 b');
INSERT INTO table6 VALUES('t2 row 2 a', 't2 row 2 b');
INSERT INTO table6 VALUES('t2 row 3 a', 't2 row 3 b');
CREATE OR REPLACE TABLE table5
(
col1 VARCHAR(20),
col2 VARCHAR(12)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "teradata",  "convertedOn": "10/14/2024" }}'
;

INSERT INTO table5
VALUES ('value 1 abcdefghijk', 'value 1 abcd');

INSERT INTO table5
VALUES ('value 2 abcdefghijk', 'value 2 abcd');

CREATE OR REPLACE TABLE table6
(
col1 VARCHAR(10),
col2 VARCHAR(5)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "teradata",  "convertedOn": "10/14/2024" }}'
;

INSERT INTO table6
VALUES ('t2 row 1 a', 't2 1b');

INSERT INTO table6
VALUES ('t2 row 2 a', 't2 2b');

INSERT INTO table6
VALUES ('t2 row 3 a', 't2 3b');

Once the new tables and data are created, the following query can be evaluated.

For this case, the functional equivalence is the same

select col1, col2 from table5
union all
select col1, col2 from table6;
col1
col2

value 1 abcdefghijk

value 1 abcd

t2 row 3 a

t2 3b

value 2 abcdefghijk

value 2 abcd

t2 row 1 a

t2 1b

t2 row 2 a

t2 2b

SELECT
col1, col2 FROM
table5
UNION ALL
SELECT
col1, col2 FROM
table6;
col1
col2

value 1 abcdefghijk

value 1 abcd

value 2 abcdefghijk

value 2 abcd

t2 row 1 a

t2 1b

t2 row 2 a

t2 2b

t2 row 3 a

t2 3b

Case 6 - multiple columns - different sizes by table: UNION ALL for columns varchar (20), varchar(10) over columns varchar (10), varchar(5)

In this case, the function equivalence is not the same.

select col1, col2 from table6
union all
select col1, col2 from table5;
col1
col2

t2 row 3 a

t2 3b

value 1 ab

value

t2 row 1 a

t2 1b

t2 row 2 a

t2 2b

value 2 ab

value

SELECT
col1, col2 FROM
table6
UNION ALL
SELECT
col1, col2 FROM
table5;
col1
col2

t2 row 1 a

t2 1b

t2 row 2 a

t2 2b

t2 row 3 a

t2 3b

value 1 abcdefghijk

value 1 abcd

value 2 abcdefghijk

value 2 abcd

Workaround to get the same functionality

The column with the smallest size from the first SELECT is used to determine the size of the columns from the second SELECT.

SELECT
col1, col2 FROM
table6
UNION ALL
SELECT
LEFT(col1, 5) as col1, LEFT(col2, 5) AS col2 FROM
table5;
col1
col2

t2 row 3 a

t2 3b

value 1 ab

value

t2 row 1 a

t2 1b

t2 row 2 a

t2 2b

value 2 ab

value

Case 7 - multiple columns expression - different sizes by table: UNION ALL for columns varchar (20), varchar(20) over columns varchar (10), varchar(10)

For this case, the functional equivalence is the same

select col1 || col2 from table3
union all
select col1 || col2 from table4;
col1 || col2

value 1 abcdefghijkvalue 1 abcdefghijk

t2 row 3 at2 row 3 b

value 2 abcdefghijkvalue 2 abcdefghijk

t2 row 1 at2 row 1 b

t2 row 2 at2 row 2 b

SELECT
col1 || col2 FROM
table3
UNION ALL
SELECT
col1 || col2 FROM
table4;
col1 || col2

value 1 abcdefghijkvalue 1 abcdefghijk

value 2 abcdefghijkvalue 2 abcdefghijk

t2 row 1 at2 row 1 b

t2 row 2 at2 row 2 b

t2 row 3 at2 row 3 b

Case 8 - multiple columns expression - different sizes by table: UNION ALL for columns varchar (20), varchar(20) over columns varchar (10), varchar(10)

This case has functional differences.

select col1 || col2 from table4
union all
select col1 || col2 from table3;
col1 || col2

t2 row 1 at2 row 1 b

t2 row 2 at2 row 2 b

t2 row 3 at2 row 3 b

value 1 abcdefghijkv

value 2 abcdefghijkv

SELECT
col1 || col2 FROM
table4
UNION ALL
SELECT
col1 || col2 FROM
table3;
col1 || col2

t2 row 1 at2 row 1 b

t2 row 2 at2 row 2 b

t2 row 3 at2 row 3 b

value 1 abcdefghijkvalue 1 abcdefghijk

value 2 abcdefghijkvalue 2 abcdefghijk

Workaround to get the same functionality

The sum of the column sizes of the less big column should be used in the LEFT function. For example, the less big column is varchar(10), so the limit of the LEFT function should be 20 (10 + 10).

The sum of the first SELECT if this is less big, it would be used for the truncation of the values.

SELECT
col1 || col2 FROM
table4
UNION ALL
SELECT
LEFT(col1 || col2, 20) FROM
table3;
col1 || col2

t2 row 1 at2 row 1 b

t2 row 2 at2 row 2 b

t2 row 3 at2 row 3 b

value 1 abcdefghijkv

value 2 abcdefghijkv

Other considerations about column size differences

  • CHAR and VARCHAR behave the same.

  • Number columns may behave differently. The numbers cannot be truncated, so there is an overflow in the Teradata environment. So, this is not applied to these data types. Review the following example:

-- Teradata number sample 
CREATE TABLE table11
(
col1 NUMBER(2)
);

INSERT INTO table11 VALUES(10);
INSERT INTO table11 VALUES(10);

CREATE TABLE table12
(
col1 NUMBER(1)
);

INSERT INTO table12 VALUES(1);
INSERT INTO table12 VALUES(1);
INSERT INTO table12 VALUES(1);

-- ERROR!  Overflow occurred when computing an expression involving table11.col1
SELECT col1 FROM table12
UNION ALL
SELECT col1 FROM table11;

In this case, the size of the column of the table2 is 10 and the table1 is 20. So, the size of the first column in the query should be the element to complete the LEFT() function used here. Review more information about the Snowflake LEFT function .

Use the data set up . Once the new tables and data are created, the following query can be evaluated.

📘
Teradata
HERE
here