The REFRESH statement reloads the metadata for the table from the
metastore database and does an incremental reload of the file and block metadata from the
HDFS NameNode. REFRESH is used to avoid inconsistencies between Impala
and external metadata sources, namely Hive Metastore (HMS) and NameNodes.
The REFRESH statement is only required if you load data
from outside of Impala. Updated metadata, as a result of running
REFRESH, is broadcast to all Impala coordinators.
See Overview of Impala Metadata and the Metastore for the information about the way Impala uses metadata and how it shares the same metastore database as Hive.
Once issued, the REFRESH statement cannot be cancelled.
Syntax:
REFRESH [db_name.]table_name [PARTITION (key_col1=val1 [, key_col2=val2...])]
Usage notes:
The table name is a required parameter, and the table must already exist and be known to Impala.
Only the metadata for the specified table is reloaded.
Use the REFRESH statement to load the latest metastore metadata for a
particular table after one of the following scenarios happens outside of Impala:
For example, after loading
new data files into the HDFS data directory for the table, appending
to an existing HDFS file, inserting data from Hive via
INSERT or LOAD DATA.
For example, after issuing ALTER TABLE or other table-modifying SQL
statement in Hive
In Impala 2.3 and higher, the ALTER TABLE
table_name RECOVER PARTITIONS statement is a faster
alternative to REFRESH when you are only adding new partition
directories through Hive or manual HDFS operations. See
ALTER TABLE Statement for details.
INVALIDATE METADATA and REFRESH are counterparts:
INVALIDATE METADATA is an asynchronous operations that simply
discards the loaded metadata from the catalog and coordinator caches. After that
operation, the catalog and all the Impala coordinators only know about the existence
of databases and tables and nothing more. Metadata loading for tables is triggered
by any subsequent queries.
REFRESH reloads the metadata synchronously.
REFRESH is more lightweight than doing a full metadata load after a
table has been invalidated. REFRESH cannot detect changes in block
locations triggered by operations like HDFS balancer, hence causing remote reads
during query execution with negative performance implications.
Refreshing a single partition:
In Impala 2.7 and higher, the REFRESH statement
can apply to a single partition at a time, rather than the whole table. Include the
optional PARTITION (partition_spec) clause and specify
values for each of the partition key columns.
PARTITION clause of the REFRESH statement must
include all the partition key columns.
The following examples demonstrates the above rules.
-- Partition doesn't exist.
refresh p2 partition (y=0, z=3);
refresh p2 partition (y=0, z=-1)
-- Key columns specified in a different order than the table definition.
refresh p2 partition (z=1, y=0)
-- Incomplete partition spec causes an error.
refresh p2 partition (y=0)
ERROR: AnalysisException: Items in partition spec must exactly match the partition columns in the table definition: default.p2 (1 vs 2)
For examples of using REFRESH and INVALIDATE METADATA
with a combination of Impala and Hive operations, see
Switching Back and Forth Between Impala and Hive.
Related impala-shell options:
Due to the expense of reloading the metadata for all tables, the
impala-shell -r option is not recommended.
HDFS permissions:
All HDFS and Ranger permissions and privilege requirements are the same whether you refresh the entire table or a single partition.
HDFS considerations:
The REFRESH statement checks HDFS permissions of the underlying data
files and directories, caching this information so that a statement can be cancelled
immediately if for example the impala user does not have permission to
write to the data directory for the table. Impala reports any lack of write permissions as
an INFO message in the log file.
If you change HDFS permissions to make data readable or writeable by the Impala user,
issue another REFRESH to make Impala aware of the change.
Kudu considerations:
By default, much of the metadata for Kudu tables is handled by the underlying storage layer. Kudu tables have less reliance on the Metastore database, and require less metadata caching on the Impala side. For example, information about partitions in Kudu tables is managed by Kudu, and Impala does not cache any block locality metadata for Kudu tables. If the Kudu service is not integrated with the Hive Metastore, Impala will manage Kudu table metadata in the Hive Metastore.
The REFRESH and INVALIDATE METADATA statements are
needed less frequently for Kudu tables than for HDFS-backed tables. Neither statement is
needed when data is added to, removed, or updated in a Kudu table, even if the changes
are made directly to Kudu through a client program using the Kudu API. Run
REFRESH table_name or INVALIDATE METADATA
table_name for a Kudu table only after making a change to
the Kudu table schema, such as adding or dropping a column.
Related information:
Overview of Impala Metadata and the Metastore, INVALIDATE METADATA Statement