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Support nested types in ORC writer #3696
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Signed-off-by: Firestarman <firestarmanllc@gmail.com>
Depending on rapidsai/cudf#9334. So mark it as draft. |
Signed-off-by: Firestarman <firestarmanllc@gmail.com>
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* (We could try to merge this with `parquetWriterOptionsFromSchema` after fixing the issue | ||
* https://github.com/rapidsai/cudf/issues/7654) |
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This issue is circumvented by pruning masks ourselves and we are already calling the remove_validity_if_needed
from the writeORCChunk
in TableJni.cpp. So I don't see why this should be preventing us from merging the two methods?
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Thanks for the info. But I tried locally and still getting the exception below when running the Parquet test test_write_map_nullable
after changing the nullable to go back to the actual setting.
E Caused by: ai.rapids.cudf.CudfException: cuDF failure at: /home/liangcail/work/projects/on_github/cudf/cpp/src/io/parquet/writer_impl.cu:377: Mismatch in metadata prescribed nullability and input column nullability. Metadata for nullable input column cannot prescribe nullability = false
E at ai.rapids.cudf.Table.writeParquetChunk(Native Method)
E at ai.rapids.cudf.Table.access$300(Table.java:39)
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This is probably a bug in plugin. Working on it.
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Fixed it by using m.valueContainsNull
instead of the parameter nullable
when building options from MapType
.
Signed-off-by: Firestarman <firestarmanllc@gmail.com>
Signed-off-by: Firestarman <firestarmanllc@gmail.com>
Nested map is not supported yet. Signed-off-by: Firestarman <firestarmanllc@gmail.com>
Signed-off-by: Firestarman <firestarmanllc@gmail.com>
@razajafri Could you review it again ? |
@@ -21,7 +21,8 @@ import java.util.Optional | |||
import scala.collection.mutable.ArrayBuffer | |||
import scala.language.implicitConversions | |||
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import ai.rapids.cudf.{ColumnView, Table} | |||
import ai.rapids.cudf._ |
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I don't think it's a good way to import all from cudf.
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Yes good suggestion, but this is done by IDE, if you prefer, i can change it back.
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Not really. Since it's a breaking change, let's merge it as soon as possible.
@@ -21,7 +21,8 @@ import java.util.Optional | |||
import scala.collection.mutable.ArrayBuffer | |||
import scala.language.implicitConversions | |||
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import ai.rapids.cudf.{ColumnView, Table} | |||
import ai.rapids.cudf._ | |||
import ai.rapids.cudf.ColumnWriterOptions._ |
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I didn't find ColumnWriterOptions in cudf side. Is there a pending PR?
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Yes, it depends on rapidsai/cudf#9334. I will merge it once this PR gets approvals.
overall, LTGM |
Will trigger CI after rapidsai/cudf#9334 being merged. |
Marked as draft just because rapidsai/cudf#9334 is not merged yet. When it is merged this can go back to ready. |
rapidsai/cudf#9334 is a breaking change to plugin, and this PR should be merged as soon as possible after #9334 being merged. So I plan to get an approval first, then merge the cudf PR and trigger the CI. Then I can merge this PR once CI is done. Otherwise it will take more time to get this in. |
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LGTM
build |
Signed-off-by: Firestarman <firestarmanllc@gmail.com>
build |
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orc_write_basic_struct_gen = StructGen([['child'+str(ind), sub_gen] for ind, sub_gen in enumerate(orc_write_basic_gens)]) | ||
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# Some array/struct gens, but not all because of nesting |
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mind expanding on this comment a bit, why "not all because of nesting"?
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Good suggestion, I will update it in a following PR since this PR should be merged as soon as possible.
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I removed this comment.
@@ -852,7 +852,8 @@ object GpuOverrides extends Logging { | |||
(OrcFormatType, FileFormatChecks( | |||
cudfRead = (TypeSig.commonCudfTypes + TypeSig.ARRAY + TypeSig.DECIMAL_64 + | |||
TypeSig.STRUCT + TypeSig.MAP).nested(), | |||
cudfWrite = TypeSig.commonCudfTypes, | |||
cudfWrite = (TypeSig.commonCudfTypes + TypeSig.ARRAY + |
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also I get confused with TypeSig
. So we can read nested maps, but not write them? Or did I misunderstand? Also is there a follow on issue to handle the same types that the reader supports.
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Yes, this is the truth. We can read nested map but can not write nested map. Which is limited by the cudf native orc writer.
I will file an issue to cudf first. Once cudf supported it, we can update the TypeSig here.
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Now I removed the map support due to the test failures only happened in pre-merge builds.
We have the issue #3784 to track this.
builder.withDecimalColumn(name, dt.precision, nullable) | ||
case TimestampType => | ||
builder.withTimestampColumn(name, writeInt96, nullable) | ||
case s: StructType => |
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The previous version of this code for struct and array defaulted both to nullable (and had a comment that is missing in your change).
// we are setting this to nullable, in case the parent is a Map's key and wants to
// set this to false
Why don't these columns need to be set nullable?
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We had discussion above for Zara's comments.
I moved similar comments to the beginning of method writerOptionsFromSchema
.
Here setting to nullable with the comment before because nullale was hard-coded to true
due to the issue rapidsai/cudf#7654.
But this issue has been circumvented by PR rapidsai/cudf#9061, so we can still keep it being nullable, but the comment is no longer needed.
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You can see the structBuilder
and listBuilder
are still using nullable
for parent columns, while for child columns, we should use containsNull
for array and valueContainsNull
for map to tell whether the children are nullable.
build |
Can not find out which test failed from the log, re-build again. |
build |
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Approved first to unblock the CI.
Try to fix a build error in premerge builds which running tests in parallel. Signed-off-by: Firestarman <firestarmanllc@gmail.com>
build |
Because map tests failed in premerge builds where tests run in parallel. Signed-off-by: Firestarman <firestarmanllc@gmail.com>
build |
Tests of orc writing maps always fail, so removed the map support. It can not reproduce locally. We will add map support back in the future. |
@revans2 @razajafri |
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approve to unblock CI. Please file following issues later
Thanks, and the test failure can be tracked by #3784 . |
This fixes #3494 .
And also adds support for lists.
Signed-off-by: Firestarman firestarmanllc@gmail.com