How to read different partition formats in Avro from S3 to Spark?
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I have a S3 bucket with two partition formats:
- S3://bucketname/tablename/year/month/day
- S3://bucketname/tablename/device/year/month/day
The file format is Avro.
I tried to read by val df = spark.read.format("com.databricks.spark.avro").load("s3://S3://bucketname/tablename").
The error info is
java.lang.AssertionError: assertion failed: Conflicting partition column names detected:
Partition column name list #0: xx, yy
Partition column name list #1: xx
For partitioned table directories, data files should only live in leaf directories.
And directories at the same level should have the same partition column name.
Please check the following directories for unexpected files or inconsistent partition column names:
apache-spark amazon-s3 apache-spark-sql avro
asked Nov 12 at 6:41
John Hass
6121921
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up vote
0
down vote
favorite
I have a S3 bucket with two partition formats:
- S3://bucketname/tablename/year/month/day
- S3://bucketname/tablename/device/year/month/day
The file format is Avro.
I tried to read by val df = spark.read.format("com.databricks.spark.avro").load("s3://S3://bucketname/tablename").
The error info is
java.lang.AssertionError: assertion failed: Conflicting partition column names detected:
Partition column name list #0: xx, yy
Partition column name list #1: xx
For partitioned table directories, data files should only live in leaf directories.
And directories at the same level should have the same partition column name.
Please check the following directories for unexpected files or inconsistent partition column names:
apache-spark amazon-s3 apache-spark-sql avro
asked Nov 12 at 6:41
John Hass
6121921
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have a S3 bucket with two partition formats:
- S3://bucketname/tablename/year/month/day
- S3://bucketname/tablename/device/year/month/day
The file format is Avro.
I tried to read by val df = spark.read.format("com.databricks.spark.avro").load("s3://S3://bucketname/tablename").
The error info is
java.lang.AssertionError: assertion failed: Conflicting partition column names detected:
Partition column name list #0: xx, yy
Partition column name list #1: xx
For partitioned table directories, data files should only live in leaf directories.
And directories at the same level should have the same partition column name.
Please check the following directories for unexpected files or inconsistent partition column names:
apache-spark amazon-s3 apache-spark-sql avro
asked Nov 12 at 6:41
John Hass
6121921
I have a S3 bucket with two partition formats:
- S3://bucketname/tablename/year/month/day
- S3://bucketname/tablename/device/year/month/day
The file format is Avro.
I tried to read by val df = spark.read.format("com.databricks.spark.avro").load("s3://S3://bucketname/tablename").
The error info is
java.lang.AssertionError: assertion failed: Conflicting partition column names detected:
Partition column name list #0: xx, yy
Partition column name list #1: xx
For partitioned table directories, data files should only live in leaf directories.
And directories at the same level should have the same partition column name.
Please check the following directories for unexpected files or inconsistent partition column names:
apache-spark amazon-s3 apache-spark-sql avro
apache-spark amazon-s3 apache-spark-sql avro
asked Nov 12 at 6:41
John Hass
6121921
asked Nov 12 at 6:41
John Hass
6121921
asked Nov 12 at 6:41
John Hass
6121921
asked Nov 12 at 6:41
John Hass
6121921
asked Nov 12 at 6:41
John Hass
6121921
6121921
add a comment |
add a comment |
1 Answer
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You can't read them both at the same time. As mentioned in the error itself,
Directories at the same level should have the same partition column
name.
Read both of them separately (using 2 s3 paths up to the leaf) and then you can union your input DFs if the schema matches.
answered Nov 12 at 6:57
shriyog
451616
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
You can't read them both at the same time. As mentioned in the error itself,
Directories at the same level should have the same partition column
name.
Read both of them separately (using 2 s3 paths up to the leaf) and then you can union your input DFs if the schema matches.
answered Nov 12 at 6:57
shriyog
451616
add a comment |
up vote
1
down vote
You can't read them both at the same time. As mentioned in the error itself,
Directories at the same level should have the same partition column
name.
Read both of them separately (using 2 s3 paths up to the leaf) and then you can union your input DFs if the schema matches.
answered Nov 12 at 6:57
shriyog
451616
add a comment |
up vote
1
down vote
up vote
1
down vote
You can't read them both at the same time. As mentioned in the error itself,
Directories at the same level should have the same partition column
name.
Read both of them separately (using 2 s3 paths up to the leaf) and then you can union your input DFs if the schema matches.
answered Nov 12 at 6:57
shriyog
451616
You can't read them both at the same time. As mentioned in the error itself,
Directories at the same level should have the same partition column
name.
Read both of them separately (using 2 s3 paths up to the leaf) and then you can union your input DFs if the schema matches.
answered Nov 12 at 6:57
shriyog
451616
answered Nov 12 at 6:57
shriyog
451616
answered Nov 12 at 6:57
shriyog
451616
answered Nov 12 at 6:57
shriyog
451616
451616
add a comment |
add a comment |
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