ICEBERG_META
描述
iceberg_meta 表函数(table-valued-function,tvf),可以用于读取 iceberg 表的各类元数据信息,如操作历史、生成的快照、文件元数据等。
语法
ICEBERG_META(
"table" = "<table>",
"query_type" = "<query_type>"
);
必填参数
iceberg_meta 表函数 tvf 中的每一个参数都是一个 "key"="value"
对
Field | Description |
---|---|
<table> | 完整的表名,需要按照目录名.库名.表名的格式,填写需要查看的 iceberg 表名。 |
<query_type> | 元数据类型,目前仅支持 snapshots 。 |
示例(Examples)
-
读取并访问 iceberg 表格式的 snapshots 元数据。
select * from iceberg_meta("table" = "ctl.db.tbl", "query_type" = "snapshots");
-
可以配合
desc function
使用desc function iceberg_meta("table" = "ctl.db.tbl", "query_type" = "snapshots");
-
查看 iceberg 表的 snapshots
select * from iceberg_meta("table" = "iceberg_ctl.test_db.test_tbl", "query_type" = "snapshots");
+------------------------+----------------+---------------+-----------+-------------------+------------------------------+
| committed_at | snapshot_id | parent_id | operation | manifest_list | summary |
+------------------------+----------------+---------------+-----------+-------------------+------------------------------+
| 2022-09-20 11:14:29 | 64123452344 | -1 | append | hdfs:/path/to/m1 | {"flink.job-id":"xxm1", ...} |
| 2022-09-21 10:36:35 | 98865735822 | 64123452344 | overwrite | hdfs:/path/to/m2 | {"flink.job-id":"xxm2", ...} |
| 2022-09-21 21:44:11 | 51232845315 | 98865735822 | overwrite | hdfs:/path/to/m3 | {"flink.job-id":"xxm3", ...} |
+------------------------+----------------+---------------+-----------+-------------------+------------------------------+ -
根据 snapshot_id 字段筛选
select * from iceberg_meta("table" = "iceberg_ctl.test_db.test_tbl", "query_type" = "snapshots") where snapshot_id = 98865735822;
+------------------------+----------------+---------------+-----------+-------------------+------------------------------+
| committed_at | snapshot_id | parent_id | operation | manifest_list | summary |
+------------------------+----------------+---------------+-----------+-------------------+------------------------------+
| 2022-09-21 10:36:35 | 98865735822 | 64123452344 | overwrite | hdfs:/path/to/m2 | {"flink.job-id":"xxm2", ...} |
+------------------------+----------------+---------------+-----------+-------------------+------------------------------+