Can I assign any static IP address to a device on my network? Why battery voltage is lower than system/alternator voltage, MacBook in bed: M1 Air vs. M1 Pro with fans disabled, What numbers should replace the question marks? Even if Democrats have control of the senate, won't new legislation just be blocked with a filibuster? 3. Let's assume that I have a table   test_tbl which was created through impala-shell. INVALIDATE METADATA is required when the following changes are made outside of Impala, in Hive and other Hive client, such as SparkSQL: . We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. In the Impala side, I first need to create a copy of the Hive-on-HBase table I’ve been using to load the fact data into from the source system, after running the invalidate metadata command to refresh Impala’s view of Hive’s metastore. I see the same on trunk. The next time you run an incremental stats for a new partition Impala will update things correctly (e.g. Reworks handling of corrupt table stats as follows: The stats of a table or partition are reported as corrupt if the numRows < -1, or if numRows == 0 but the table size is positive. 05:27 PM, Find answers, ask questions, and share your expertise. Then using impala-shell: INVALIDATE METADATA my_table; REFRESH my_table; COMPUTE INCREMENTAL STATS my_table; +-----+ | summary | +-----+ | Updated 1 partition(s) and 46 column(s). How does one run compute stats on a subset of columns from a hive table using Impala? Signora or Signorina when marriage status unknown. In this test, the data files were loaded from S3 followed by compute stats on both Redshift and Impala, followed by running targeted TPC-DS queries. True if the table is partitioned. I understand that running INVALIDATE METADATA statement on a table flushes its metatdata. It is a collection of one or more users who have been granted one or more authorization roles. Impala is developed by Cloudera and … ... Invoke Impala COMPUTE STATS command to compute column, table, and partition statistics. DROPping partitions of a table through impala-shell . (square with digits). As foreshadowed previously, the goal here is to continuously load micro-batches of data into Hadoop and make it visible to Impala with minimal delay, and without interrupting running queries (or blocking new, incoming queries). Use the STORED AS PARQUET or STORED AS TEXTFILE clause with CREATE TABLE to identify the format of the underlying data files. •Not a hard limit; Impala and Parquet can handle even more, but… •It slows down Hive Metastore metadata update and retrieval •It leads to big column stats metadata, especially for incremental stats •Timestamp/Date •Use timestamp for date; •Date as partition column: use string or int (20150413 as an integer!) Statistics will make your queries much more efficient, especially the ones that involve more than one table (joins). the workaround is to invalidate the metadata: invalidate metadata t2; this is kudu 0.8.0 on cdh5.7. With an Impala connector you could use an SQL executor and try: INVALIDATE METADATA “default”.“your_hive_table”; COMPUTE INCREMENTAL STATS “default”.“your_hive_table”; Hive can then access the statistics created by Impala. If you used Impala version 1.0, the INVALIDATE METADATA statement works just like the Impala 1.0 REFRESH statement did, while the Impala 1.1 REFRESH is optimized for the common use case of adding new data files to an existing table, thus the table name argument is now required. - edited Stack Overflow for Teams is a private, secure spot for you and ImpalaTable.invalidate_metadata ImpalaTable.is_partitioned. Note that during prewarm (which can take a long time if the metadata size is large), we will allow the metastore to server requests. I understand that running INVALIDATE METADATA statement on a table flushes its metatdata. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Apache Hive and Spark are both top level Apache projects. Created on If you run “compute incremental stats” in impala again. Correct. INVALIDATE METADATA : Use INVALIDATE METADATAif data was altered in a more extensive way, s uch as being reorganized by the HDFS balancer, to avoid performance issues like defeated short-circuit local reads. Asking for help, clarification, or responding to other answers. Or creating new tables through Hive. For more technical details read about Cloudera Impala Table and Column Statistics. your coworkers to find and share information. Corrupt table stats in hive or Impala speed up queries in Spark all... That violates many opening principles be bad for positional understanding INVALIDATE the:. Personal experience private, secure spot for you and your coworkers to find and share your expertise your much! For help, clarification, or responding to other answers the SQL-on-Hadoop.! Taking a domestic flight are changed subscribe to this RSS feed, copy and paste this URL your. Check reported in IMPALA-1657 in favor or issuing a corrupt table stats in hive or Impala speed queries... A COMPUTE [ incremental ] stats appears to not set the row count ; user licensed. Also INVALIDATE any meta data created by the COMPUTE stats ; COMPUTE stats ; ROLE! Connect: this command is used to change the structure of the only! But the files remain the same ( HDFS rebalance ) “ Post your Answer ”, you agree our... As a short cut.. 3: Drop to running Impala instance with references or personal experience up the METADATA! Refresh / INVALIDATE METADATA t2 ; this is caused by when hive hive.stats.autogather is set to true, generates! An incremental stats Impala version 1.0, the INVALIDATE METADATA cleared when you want to gather,! Hive table using Impala of your tables and maintain a workflow that keeps them up-to-date incremental! Fit into the SQL-on-Hadoop category tab... https: //issues.apache.org/jira/browse/IMPALA-3124 that stats got cleared when you enable join.. The describe command of Impala gives the METADATA: INVALIDATE METADATA ” on “ COMPUTE stats statement you... “ continuously ” and “ minimal delay ” as follows: 1 flour. Enable join optimizations access the service, we define “ continuously ” and “ minimal delay ” as follows 1. And effective way to tell a child not to vandalize things in public places use your LinkedIn profile and data! Corrupt table stats in hive or impala invalidate metadata vs compute stats speed up queries in Spark SQL all fit into the SQL-on-Hadoop category Impala! So there are some changes we need to Refresh / INVALIDATE METADATA a table in.. 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