Parquet binary UTF8 as string on hive
There is a parquet file with a binary (UTF8) column named abc in it.
Is it possible to create an external table on hive that will contain the same column abc, but casted to string?
The structure of the parquet file:
$ parquet-tools schema ~/Downloads/dataset.gz.parquet
message spark_schema
optional binary abc (UTF8);
hive parquet sqldatatypes
asked Nov 12 '18 at 18:06
dmigo
557936
add a comment |
There is a parquet file with a binary (UTF8) column named abc in it.
Is it possible to create an external table on hive that will contain the same column abc, but casted to string?
The structure of the parquet file:
$ parquet-tools schema ~/Downloads/dataset.gz.parquet
message spark_schema
optional binary abc (UTF8);
hive parquet sqldatatypes
asked Nov 12 '18 at 18:06
dmigo
557936
Tryselect cast(abc as string) from mytableor similar? There's alsodecodefunction orbase64. If you explain what is inside binary data that would be more useful.
– Hitobat
Nov 12 '18 at 18:24
@Hitobat I want to remove the burden of casting types from the users. Do you think it might be possible?
– dmigo
Nov 13 '18 at 12:40
Oh, I understand what you mean now. In this case, you can have an external-table to read the data, and then define a view based on the table for your users to query from.
– Hitobat
Nov 13 '18 at 14:00
add a comment |
There is a parquet file with a binary (UTF8) column named abc in it.
Is it possible to create an external table on hive that will contain the same column abc, but casted to string?
The structure of the parquet file:
$ parquet-tools schema ~/Downloads/dataset.gz.parquet
message spark_schema
optional binary abc (UTF8);
hive parquet sqldatatypes
asked Nov 12 '18 at 18:06
dmigo
557936
There is a parquet file with a binary (UTF8) column named abc in it.
Is it possible to create an external table on hive that will contain the same column abc, but casted to string?
The structure of the parquet file:
$ parquet-tools schema ~/Downloads/dataset.gz.parquet
message spark_schema
optional binary abc (UTF8);
hive parquet sqldatatypes
hive parquet sqldatatypes
asked Nov 12 '18 at 18:06
dmigo
557936
asked Nov 12 '18 at 18:06
dmigo
557936
edited Nov 13 '18 at 14:23
asked Nov 12 '18 at 18:06
dmigo
557936
asked Nov 12 '18 at 18:06
dmigo
557936
asked Nov 12 '18 at 18:06
dmigo
557936
557936
Tryselect cast(abc as string) from mytableor similar? There's alsodecodefunction orbase64. If you explain what is inside binary data that would be more useful.
– Hitobat
Nov 12 '18 at 18:24
@Hitobat I want to remove the burden of casting types from the users. Do you think it might be possible?
– dmigo
Nov 13 '18 at 12:40
Oh, I understand what you mean now. In this case, you can have an external-table to read the data, and then define a view based on the table for your users to query from.
– Hitobat
Nov 13 '18 at 14:00
add a comment |
Tryselect cast(abc as string) from mytableor similar? There's alsodecodefunction orbase64. If you explain what is inside binary data that would be more useful.
– Hitobat
Nov 12 '18 at 18:24
@Hitobat I want to remove the burden of casting types from the users. Do you think it might be possible?
– dmigo
Nov 13 '18 at 12:40
Oh, I understand what you mean now. In this case, you can have an external-table to read the data, and then define a view based on the table for your users to query from.
– Hitobat
Nov 13 '18 at 14:00
Try
select cast(abc as string) from mytable or similar? There's also decode function or base64. If you explain what is inside binary data that would be more useful.– Hitobat
Nov 12 '18 at 18:24
Try
select cast(abc as string) from mytable or similar? There's also decode function or base64. If you explain what is inside binary data that would be more useful.– Hitobat
Nov 12 '18 at 18:24
@Hitobat I want to remove the burden of casting types from the users. Do you think it might be possible?
– dmigo
Nov 13 '18 at 12:40
@Hitobat I want to remove the burden of casting types from the users. Do you think it might be possible?
– dmigo
Nov 13 '18 at 12:40
Oh, I understand what you mean now. In this case, you can have an external-table to read the data, and then define a view based on the table for your users to query from.
– Hitobat
Nov 13 '18 at 14:00
Oh, I understand what you mean now. In this case, you can have an external-table to read the data, and then define a view based on the table for your users to query from.
– Hitobat
Nov 13 '18 at 14:00
add a comment |
2 Answers
2
active
oldest
votes
There are three different types involved:
- There is a SQL schema for the table in Hive. Each column has a type, like STRING or DECIMAL. Each table (or partition in case it's a partitioned table) consist of multiple files that must be of the same file format, for example PLAINTEXT, AVRO or PARQUET.
- Each of the individual files will have type information as well (except PLAINTEXT). In the case of Parquet, this means two further levels:
- The physical type describes the storage size, for example INT32, BYTE_ARRAY or FIXED_LEN_BYTE_ARRAY.
- The logical type tells applications how to interpret the data, for example UTF8 or DECIMAL.
The STRING column type of Hive is stored as a BYTE_ARRAY physical type (called binary in Parquet schema definitions) with the UTF8 logical type annotation.
answered Nov 14 '18 at 17:32
Zoltan
1,128313
add a comment |
Apparently, you can simply specify string as the type of the column and it will be taken care of.
CREATE EXTERNAL TABLE `dataset`(
`abc` string)
STORED AS parquet
LOCATION
'...';
answered Nov 13 '18 at 14:24
dmigo
557936
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
There are three different types involved:
- There is a SQL schema for the table in Hive. Each column has a type, like STRING or DECIMAL. Each table (or partition in case it's a partitioned table) consist of multiple files that must be of the same file format, for example PLAINTEXT, AVRO or PARQUET.
- Each of the individual files will have type information as well (except PLAINTEXT). In the case of Parquet, this means two further levels:
- The physical type describes the storage size, for example INT32, BYTE_ARRAY or FIXED_LEN_BYTE_ARRAY.
- The logical type tells applications how to interpret the data, for example UTF8 or DECIMAL.
The STRING column type of Hive is stored as a BYTE_ARRAY physical type (called binary in Parquet schema definitions) with the UTF8 logical type annotation.
answered Nov 14 '18 at 17:32
Zoltan
1,128313
add a comment |
There are three different types involved:
- There is a SQL schema for the table in Hive. Each column has a type, like STRING or DECIMAL. Each table (or partition in case it's a partitioned table) consist of multiple files that must be of the same file format, for example PLAINTEXT, AVRO or PARQUET.
- Each of the individual files will have type information as well (except PLAINTEXT). In the case of Parquet, this means two further levels:
- The physical type describes the storage size, for example INT32, BYTE_ARRAY or FIXED_LEN_BYTE_ARRAY.
- The logical type tells applications how to interpret the data, for example UTF8 or DECIMAL.
The STRING column type of Hive is stored as a BYTE_ARRAY physical type (called binary in Parquet schema definitions) with the UTF8 logical type annotation.
answered Nov 14 '18 at 17:32
Zoltan
1,128313
add a comment |
There are three different types involved:
- There is a SQL schema for the table in Hive. Each column has a type, like STRING or DECIMAL. Each table (or partition in case it's a partitioned table) consist of multiple files that must be of the same file format, for example PLAINTEXT, AVRO or PARQUET.
- Each of the individual files will have type information as well (except PLAINTEXT). In the case of Parquet, this means two further levels:
- The physical type describes the storage size, for example INT32, BYTE_ARRAY or FIXED_LEN_BYTE_ARRAY.
- The logical type tells applications how to interpret the data, for example UTF8 or DECIMAL.
The STRING column type of Hive is stored as a BYTE_ARRAY physical type (called binary in Parquet schema definitions) with the UTF8 logical type annotation.
answered Nov 14 '18 at 17:32
Zoltan
1,128313
There are three different types involved:
- There is a SQL schema for the table in Hive. Each column has a type, like STRING or DECIMAL. Each table (or partition in case it's a partitioned table) consist of multiple files that must be of the same file format, for example PLAINTEXT, AVRO or PARQUET.
- Each of the individual files will have type information as well (except PLAINTEXT). In the case of Parquet, this means two further levels:
- The physical type describes the storage size, for example INT32, BYTE_ARRAY or FIXED_LEN_BYTE_ARRAY.
- The logical type tells applications how to interpret the data, for example UTF8 or DECIMAL.
The STRING column type of Hive is stored as a BYTE_ARRAY physical type (called binary in Parquet schema definitions) with the UTF8 logical type annotation.
answered Nov 14 '18 at 17:32
Zoltan
1,128313
edited Nov 14 '18 at 18:33
answered Nov 14 '18 at 17:32
Zoltan
1,128313
answered Nov 14 '18 at 17:32
Zoltan
1,128313
answered Nov 14 '18 at 17:32
Zoltan
1,128313
1,128313
add a comment |
add a comment |
Apparently, you can simply specify string as the type of the column and it will be taken care of.
CREATE EXTERNAL TABLE `dataset`(
`abc` string)
STORED AS parquet
LOCATION
'...';
answered Nov 13 '18 at 14:24
dmigo
557936
add a comment |
Apparently, you can simply specify string as the type of the column and it will be taken care of.
CREATE EXTERNAL TABLE `dataset`(
`abc` string)
STORED AS parquet
LOCATION
'...';
answered Nov 13 '18 at 14:24
dmigo
557936
add a comment |
Apparently, you can simply specify string as the type of the column and it will be taken care of.
CREATE EXTERNAL TABLE `dataset`(
`abc` string)
STORED AS parquet
LOCATION
'...';
answered Nov 13 '18 at 14:24
dmigo
557936
Apparently, you can simply specify string as the type of the column and it will be taken care of.
CREATE EXTERNAL TABLE `dataset`(
`abc` string)
STORED AS parquet
LOCATION
'...';
answered Nov 13 '18 at 14:24
dmigo
557936
edited Nov 13 '18 at 14:36
answered Nov 13 '18 at 14:24
dmigo
557936
answered Nov 13 '18 at 14:24
dmigo
557936
answered Nov 13 '18 at 14:24
dmigo
557936
557936
add a comment |
add a comment |
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Try
select cast(abc as string) from mytableor similar? There's alsodecodefunction orbase64. If you explain what is inside binary data that would be more useful.– Hitobat
Nov 12 '18 at 18:24
@Hitobat I want to remove the burden of casting types from the users. Do you think it might be possible?
– dmigo
Nov 13 '18 at 12:40
Oh, I understand what you mean now. In this case, you can have an external-table to read the data, and then define a view based on the table for your users to query from.
– Hitobat
Nov 13 '18 at 14:00