COPY from Parquet S3 into Redshift and decimal vs. int types2019 Community Moderator Electionin redshift postgresql can I skip columns with the copy functionIssue while copying data from local to S3 to Redshift tableClassCastException while de-serializing(loading into hive table) decimals written in avro schema backed Parquet formatRedshift Error 1202 “Extra column(s) found” using COPY commandhive doesn't change parquet schemaSpark: read from parquet an int column as longHow can I coerce data types when creating an external Impala table based on an existing parquet fileRedshift Type to Receive Dynamo Decimal in Data Pipeline?Creating a redshift table ddl to match parquet fileHow can I store table transformation metadata in XML while copying csv from S3 bucket to redshift table?
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COPY from Parquet S3 into Redshift and decimal vs. int types
2019 Community Moderator Electionin redshift postgresql can I skip columns with the copy functionIssue while copying data from local to S3 to Redshift tableClassCastException while de-serializing(loading into hive table) decimals written in avro schema backed Parquet formatRedshift Error 1202 “Extra column(s) found” using COPY commandhive doesn't change parquet schemaSpark: read from parquet an int column as longHow can I coerce data types when creating an external Impala table based on an existing parquet fileRedshift Type to Receive Dynamo Decimal in Data Pipeline?Creating a redshift table ddl to match parquet fileHow can I store table transformation metadata in XML while copying csv from S3 bucket to redshift table?
I am running into this error when trying to COPY data from Parquet in S3 to Redshift:
S3 Query Exception (Fetch). Task failed due to an internal error. File
'https://...../part-00000-xxxxx.snappy.parquet
has an incompatible Parquet schema for column 's3://table_name/.column_name'.
Column type: INT, Parquet schema:
optional fixed_len_byte_array COLUMN_NAME
I suspect this is because the Parquet file has a numeric/decimal type with a greater precision than fit into an INT column, however I believe that all the actual values are within range that they would fit. (The error does not specify a row number.)
Is there a way to coerce the type conversion on COPY, and take failures at an individual row basis (as with CSV) rather than failing the whole file?
amazon-redshift parquet
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
add a comment |
I am running into this error when trying to COPY data from Parquet in S3 to Redshift:
S3 Query Exception (Fetch). Task failed due to an internal error. File
'https://...../part-00000-xxxxx.snappy.parquet
has an incompatible Parquet schema for column 's3://table_name/.column_name'.
Column type: INT, Parquet schema:
optional fixed_len_byte_array COLUMN_NAME
I suspect this is because the Parquet file has a numeric/decimal type with a greater precision than fit into an INT column, however I believe that all the actual values are within range that they would fit. (The error does not specify a row number.)
Is there a way to coerce the type conversion on COPY, and take failures at an individual row basis (as with CSV) rather than failing the whole file?
amazon-redshift parquet
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
1
Do you have any row inpg_catalog.stl_load_errorsrelated to this load?
– mdem7
Mar 6 at 22:50
The above error came fromSVL_S3LOG.STL_LOAD_ERRORSis empty.
– wrschneider
2 days ago
add a comment |
I am running into this error when trying to COPY data from Parquet in S3 to Redshift:
S3 Query Exception (Fetch). Task failed due to an internal error. File
'https://...../part-00000-xxxxx.snappy.parquet
has an incompatible Parquet schema for column 's3://table_name/.column_name'.
Column type: INT, Parquet schema:
optional fixed_len_byte_array COLUMN_NAME
I suspect this is because the Parquet file has a numeric/decimal type with a greater precision than fit into an INT column, however I believe that all the actual values are within range that they would fit. (The error does not specify a row number.)
Is there a way to coerce the type conversion on COPY, and take failures at an individual row basis (as with CSV) rather than failing the whole file?
amazon-redshift parquet
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
I am running into this error when trying to COPY data from Parquet in S3 to Redshift:
S3 Query Exception (Fetch). Task failed due to an internal error. File
'https://...../part-00000-xxxxx.snappy.parquet
has an incompatible Parquet schema for column 's3://table_name/.column_name'.
Column type: INT, Parquet schema:
optional fixed_len_byte_array COLUMN_NAME
I suspect this is because the Parquet file has a numeric/decimal type with a greater precision than fit into an INT column, however I believe that all the actual values are within range that they would fit. (The error does not specify a row number.)
Is there a way to coerce the type conversion on COPY, and take failures at an individual row basis (as with CSV) rather than failing the whole file?
amazon-redshift parquet
amazon-redshift parquet
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
asked Mar 6 at 22:47
wrschneiderwrschneider
10.4k849120
10.4k849120
1
Do you have any row inpg_catalog.stl_load_errorsrelated to this load?
– mdem7
Mar 6 at 22:50
The above error came fromSVL_S3LOG.STL_LOAD_ERRORSis empty.
– wrschneider
2 days ago
add a comment |
1
Do you have any row inpg_catalog.stl_load_errorsrelated to this load?
– mdem7
Mar 6 at 22:50
The above error came fromSVL_S3LOG.STL_LOAD_ERRORSis empty.
– wrschneider
2 days ago
1
1
Do you have any row in
pg_catalog.stl_load_errors related to this load?– mdem7
Mar 6 at 22:50
Do you have any row in
pg_catalog.stl_load_errors related to this load?– mdem7
Mar 6 at 22:50
The above error came from
SVL_S3LOG. STL_LOAD_ERRORS is empty.– wrschneider
2 days ago
The above error came from
SVL_S3LOG. STL_LOAD_ERRORS is empty.– wrschneider
2 days ago
add a comment |
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1
Do you have any row in
pg_catalog.stl_load_errorsrelated to this load?– mdem7
Mar 6 at 22:50
The above error came from
SVL_S3LOG.STL_LOAD_ERRORSis empty.– wrschneider
2 days ago