Docs: Add WRITE LOCALLY ORDERED BY and WRITE DISTRIBUTED BY in spark-ddl.md
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In addition, I would like to know whether the partition field can be set by WRITE DISTRIBUTED BY, how we designed it |
rdblue
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Jan 3, 2022
site/docs/spark-ddl.md
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| ``` | ||
| ### `ALTER TABLE ... WRITE DISTRIBUTED BY PARTITION` | ||
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| Iceberg tables can be configured with a hash distribution where tuples that share the same values for clustering expressions are |
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The requirement is to distribute by partition. Hash distribution is an implementation detail. Instead, I think this should state that WRITE DISTRIBUTED BY PARTITION will guarantee that a given partition is handled by one writer.
rdblue
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Jan 3, 2022
site/docs/spark-ddl.md
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| !!! Note | ||
| Table write order does not guarantee data order for queries. It only affects how data is written to the table. | ||
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| Only local sorting can be set at the same time, use `LOCALLY ORDERED BY` |
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This should first state that WRITE ORDERED BY sets a global ordering where rows are ordered across tasks, like using ORDER BY in an INSERT command. Then introduce LOCALLY ORDERED BY to order within each task but not across tasks.
rdblue
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Jan 18, 2022
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Thanks, @xiaotianzhang01! |
jackye1995
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jackye1995
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* apache/iceberg#3723 * apache/iceberg#3732 * apache/iceberg#3749 * apache/iceberg#3766 * apache/iceberg#3787 * apache/iceberg#3796 * apache/iceberg#3809 * apache/iceberg#3820 * apache/iceberg#3878 * apache/iceberg#3890 * apache/iceberg#3892 * apache/iceberg#3944 * apache/iceberg#3976 * apache/iceberg#3993 * apache/iceberg#3996 * apache/iceberg#4008 * apache/iceberg#3758 and 3856 * apache/iceberg#3761 * apache/iceberg#2062 * apache/iceberg#3422 * remove restriction related to legacy parquet file list
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Enrich the description of the syntax of
write distribution and orderingbased on alter table.