Commit 364136b
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feat(format-table): support reading and writing format tables
A format table is a directory of data files of one format with no
snapshots and no manifests, laid out like a standard Hive table. Only
`parquet` and `orc` are supported. `Catalog::GetFormatTable()` loads
one, and the new `FormatTableCatalog` interface lets a catalog serve
that call itself.
A caller holding a table path keeps the interface it uses for every
other table: `TableScan::Create()`, `TableRead::Create()`,
`FileStoreWrite::Create()` and `FileStoreCommit::Create()` recognise a
format table from the schema under the path and dispatch to it, the way
Java Paimon serves both kinds through one `ReadBuilder` and one
`BatchWriteBuilder`. `FormatTableScan`, `FormatTableRead`,
`FormatTableWrite` and `FormatTableCommit` stay public for a caller that
already holds a `FormatTable`. One `FormatTableLoader` answers the "is
this a format table" question for all four entry points and hands back
the schema it read, so the schema file is read once. Anything a context
carries that a format table cannot honour is refused by name rather than
quietly dropped.
The scan discovers partitions by descending the directory layout -
`key=value` by default, the bare value under
`format-table.partition-path-only-value` - and packs a partition's files
into splits of about `source.split.target-size`, each holding whole
files. The read projects the table's columns, pushes a predicate into
the file readers and applies it exactly on request, and rebuilds the
partition columns from the directory names, since the data files
themselves do not carry them. Partition completion, the predicate split
and the read-schema order all come from `FieldMappingReader`, and a data
file is opened through `DataFileReaderFactory`, which the managed table
path uses too, so prefetch and the caches a `ReadContext` carries apply
here as well.
The write is two-phase: it stages each file under
`_temporary/.tmp.<uuid>` beside where it will be published, the layout
Java's `RenamingTwoPhaseOutputStream` stages under, and the commit
renames them into place. An overwriting commit first clears the
partitions it writes to, or the static partition it was given. Options
are read through `CoreOptions`, so a default lives in one place.
A split and a commit message are both public structs a caller may have
built itself, so each is checked for path containment, visibility and
partition binding before anything is read, renamed or deleted. Neither
has a serialized form: a format table's plan has no cross-runtime
encoding, so `Split::Serialize()` and `CommitMessage::Serialize()`
refuse them and a plan is read within the process that made it.
- `Catalog::GetTable()` and `Table::Create()` refuse a format table, and
every other table type this library does not implement, instead of
opening it as a managed table and looking for snapshots it never had.
- Every catalog validates a new table's schema through one entry point,
so none accepts a table another could not open;
`RestCatalog::CreateTable()` runs it now too.
- `PartitionPathUtils::GeneratePartitionPath()` takes the value-only
layout as a parameter and refuses a partition value that cannot name a
directory. The managed table path goes through it too.
- `LazyConcatBatchReader` opens one file of a split at a time, names the
file in every failure and keeps answering with the failure it stopped
at, as `BatchReader` requires.
`docs/source/user_guide/format_table.rst` describes the layout, the
options, and what is still missing against Java, including
`dynamic-partition-overwrite` and partition filters beyond equality.1 parent 3b93d6a commit 364136b
78 files changed
Lines changed: 9816 additions & 131 deletions
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