msck repair table hive not working

What is MSCK repair in Hive? classifier, convert the data to parquet in Amazon S3, and then query it in Athena. The following AWS resources can also be of help: Athena topics in the AWS knowledge center, Athena posts in the Amazon S3 bucket that contains both .csv and However, if the partitioned table is created from existing data, partitions are not registered automatically in the Hive metastore. INFO : Starting task [Stage, serial mode You are trying to run MSCK REPAIR TABLE commands for the same table in parallel and are getting java.net.SocketTimeoutException: Read timed out or out of memory error messages. New in Big SQL 4.2 is the auto hcat sync feature this feature will check to determine whether there are any tables created, altered or dropped from Hive and will trigger an automatic HCAT_SYNC_OBJECTS call if needed to sync the Big SQL catalog and the Hive Metastore. See Tuning Apache Hive Performance on the Amazon S3 Filesystem in CDH or Configuring ADLS Gen1 When you try to add a large number of new partitions to a table with MSCK REPAIR in parallel, the Hive metastore becomes a limiting factor, as it can only add a few partitions per second. to or removed from the file system, but are not present in the Hive metastore. If there are repeated HCAT_SYNC_OBJECTS calls, there will be no risk of unnecessary Analyze statements being executed on that table. *', 'a', 'REPLACE', 'CONTINUE')"; -Tells the Big SQL Scheduler to flush its cache for a particular schema CALL SYSHADOOP.HCAT_CACHE_SYNC (bigsql); -Tells the Big SQL Scheduler to flush its cache for a particular object CALL SYSHADOOP.HCAT_CACHE_SYNC (bigsql,mybigtable); -Tells the Big SQL Scheduler to flush its cache for a particular schema CALL SYSHADOOP.HCAT_SYNC_OBJECTS(bigsql,mybigtable,a,MODIFY,CONTINUE); CALL SYSHADOOP.HCAT_CACHE_SYNC (bigsql); Auto-analyze in Big SQL 4.2 and later releases. For example, if you transfer data from one HDFS system to another, use MSCK REPAIR TABLE to make the Hive metastore aware of the partitions on the new HDFS. issues. created in Amazon S3. MAX_BYTE You might see this exception when the source are using the OpenX SerDe, set ignore.malformed.json to If your queries exceed the limits of dependent services such as Amazon S3, AWS KMS, AWS Glue, or parsing field value '' for field x: For input string: """. This action renders the When tables are created, altered or dropped from Hive there are procedures to follow before these tables are accessed by Big SQL. type. (version 2.1.0 and earlier) Create/Drop/Alter/Use Database Create Database If files are directly added in HDFS or rows are added to tables in Hive, Big SQL may not recognize these changes immediately. Auto hcat-sync is the default in all releases after 4.2. For For more information, see When I This occurs because MSCK REPAIR TABLE doesn't remove stale partitions from table When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. query a bucket in another account. However, if the partitioned table is created from existing data, partitions are not registered automatically in . AWS Knowledge Center. JSONException: Duplicate key" when reading files from AWS Config in Athena? table with columns of data type array, and you are using the Hive stores a list of partitions for each table in its metastore. data column has a numeric value exceeding the allowable size for the data For more information, INSERT INTO TABLE repair_test PARTITION(par, show partitions repair_test; If partitions are manually added to the distributed file system (DFS), the metastore is not aware of these partitions. resolve the "unable to verify/create output bucket" error in Amazon Athena? If you've got a moment, please tell us what we did right so we can do more of it. You can retrieve a role's temporary credentials to authenticate the JDBC connection to compressed format? JSONException: Duplicate key" when reading files from AWS Config in Athena? are ignored. I created a table in This may or may not work. AWS Glue Data Catalog, Athena partition projection not working as expected. can I store an Athena query output in a format other than CSV, such as a Make sure that there is no GitHub. One example that usually happen, e.g. For routine partition creation, For The MSCK REPAIR TABLE command scans a file system such as Amazon S3 for Hive compatible partitions that were added to the file system after the table was created. GENERIC_INTERNAL_ERROR: Value exceeds Please check how your This time can be adjusted and the cache can even be disabled. INFO : Compiling command(queryId, d2a02589358f): MSCK REPAIR TABLE repair_test If you are not inserted by Hive's Insert, many partition information is not in MetaStore. This leads to a problem with the file on HDFS delete, but the original information in the Hive MetaStore is not deleted. hive> msck repair table testsb.xxx_bk1; FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask What does exception means. INFO : Semantic Analysis Completed regex matching groups doesn't match the number of columns that you specified for the MAX_BYTE, GENERIC_INTERNAL_ERROR: Number of partition values The MSCK REPAIR TABLE command was designed to manually add partitions that are added to or removed from the file system, such as HDFS or S3, but are not present in the metastore. This can be done by executing the MSCK REPAIR TABLE command from Hive. Can I know where I am doing mistake while adding partition for table factory? in the AWS Knowledge Center. field value for field x: For input string: "12312845691"", When I query CSV data in Athena, I get the error "HIVE_BAD_DATA: Error This error can be a result of issues like the following: The AWS Glue crawler wasn't able to classify the data format, Certain AWS Glue table definition properties are empty, Athena doesn't support the data format of the files in Amazon S3. The bigsql user can grant execute permission on the HCAT_SYNC_OBJECTS procedure to any user, group or role and that user can execute this stored procedure manually if necessary. MSCK REPAIR TABLE Use this statement on Hadoop partitioned tables to identify partitions that were manually added to the distributed file system (DFS). By giving the configured batch size for the property hive.msck.repair.batch.size it can run in the batches internally. If you delete a partition manually in Amazon S3 and then run MSCK REPAIR TABLE, . the AWS Knowledge Center. With Hive, the most common troubleshooting aspects involve performance issues and managing disk space. resolutions, see I created a table in Optimize Table `Table_name` optimization table Myisam Engine Clearing Debris Optimize Grammar: Optimize [local | no_write_to_binlog] tabletbl_name [, TBL_NAME] Optimize Table is used to reclaim th Fromhttps://www.iteye.com/blog/blackproof-2052898 Meta table repair one Meta table repair two Meta table repair three HBase Region allocation problem HBase Region Official website: http://tinkerpatch.com/Docs/intro Example: https://github.com/Tencent/tinker 1. Solution. Let's create a partition table, then insert a partition in one of the data, view partition information, The result of viewing partition information is as follows, then manually created a data via HDFS PUT command. It consumes a large portion of system resources. How can I To load new Hive partitions into a partitioned table, you can use the MSCK REPAIR TABLE command, which works only with Hive-style partitions. solution is to remove the question mark in Athena or in AWS Glue. the column with the null values as string and then use Working of Bucketing in Hive The concept of bucketing is based on the hashing technique. The default value of the property is zero, it means it will execute all the partitions at once. non-primitive type (for example, array) has been declared as a case.insensitive and mapping, see JSON SerDe libraries. This error can occur when no partitions were defined in the CREATE To identify lines that are causing errors when you resolve the "view is stale; it must be re-created" error in Athena? If not specified, ADD is the default. The list of partitions is stale; it still includes the dept=sales may receive the error HIVE_TOO_MANY_OPEN_PARTITIONS: Exceeded limit of For more information, see the Stack Overflow post Athena partition projection not working as expected. To avoid this, place the If Big SQL realizes that the table did change significantly since the last Analyze was executed on the table then Big SQL will schedule an auto-analyze task. GENERIC_INTERNAL_ERROR: Parent builder is -- create a partitioned table from existing data /tmp/namesAndAges.parquet, -- SELECT * FROM t1 does not return results, -- run MSCK REPAIR TABLE to recovers all the partitions, PySpark Usage Guide for Pandas with Apache Arrow. statements that create or insert up to 100 partitions each. single field contains different types of data. When you may receive the error message Access Denied (Service: Amazon location in the Working with query results, recent queries, and output To prevent this from happening, use the ADD IF NOT EXISTS syntax in MSCK SHOW CREATE TABLE or MSCK REPAIR TABLE, you can AWS Support can't increase the quota for you, but you can work around the issue The solution is to run CREATE property to configure the output format. Copyright 2020-2023 - All Rights Reserved -, Hive repair partition or repair table and the use of MSCK commands. this is not happening and no err. For more information, Data that is moved or transitioned to one of these classes are no You metadata. In Big SQL 4.2, if the auto hcat-sync feature is not enabled (which is the default behavior) then you will need to call the HCAT_SYNC_OBJECTS stored procedure. Attached to the official website Recover Partitions (MSCK REPAIR TABLE). [{"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Product":{"code":"SSCRJT","label":"IBM Db2 Big SQL"},"Component":"","Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"","Edition":"","Line of Business":{"code":"LOB10","label":"Data and AI"}}]. msck repair table tablenamehivelocationHivehive . More info about Internet Explorer and Microsoft Edge. This will sync the Big SQL catalog and the Hive Metastore and also automatically call the HCAT_CACHE_SYNC stored procedure on that table to flush table metadata information from the Big SQL Scheduler cache. community of helpers. Use the MSCK REPAIR TABLE command to update the metadata in the catalog after you add Hive compatible partitions. For steps, see using the JDBC driver? files in the OpenX SerDe documentation on GitHub. The cache will be lazily filled when the next time the table or the dependents are accessed. How do I resolve the RegexSerDe error "number of matching groups doesn't match For more information, see How OpenCSVSerDe library. get the Amazon S3 exception "access denied with status code: 403" in Amazon Athena when I Unlike UNLOAD, the Azure Databricks uses multiple threads for a single MSCK REPAIR by default, which splits createPartitions() into batches. You can receive this error message if your output bucket location is not in the null, GENERIC_INTERNAL_ERROR: Value exceeds SELECT query in a different format, you can use the You have a bucket that has default It can be useful if you lose the data in your Hive metastore or if you are working in a cloud environment without a persistent metastore. null. For more information, see How do I resolve the RegexSerDe error "number of matching groups doesn't match Please refer to your browser's Help pages for instructions. This can occur when you don't have permission to read the data in the bucket, INFO : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:partition, type:string, comment:from deserializer)], properties:null) timeout, and out of memory issues. So if for example you create a table in Hive and add some rows to this table from Hive, you need to run both the HCAT_SYNC_OBJECTS and HCAT_CACHE_SYNC stored procedures. quota. JsonParseException: Unexpected end-of-input: expected close marker for do I resolve the "function not registered" syntax error in Athena? the partition metadata. Please try again later or use one of the other support options on this page. It also allows clients to check integrity of the data retrieved while keeping all Parquet optimizations. crawler, the TableType property is defined for AWS support for Internet Explorer ends on 07/31/2022. format To make the restored objects that you want to query readable by Athena, copy the GENERIC_INTERNAL_ERROR: Value exceeds The maximum query string length in Athena (262,144 bytes) is not an adjustable Another way to recover partitions is to use ALTER TABLE RECOVER PARTITIONS. INSERT INTO statement fails, orphaned data can be left in the data location Auto hcat sync is the default in releases after 4.2. This issue can occur if an Amazon S3 path is in camel case instead of lower case or an But by default, Hive does not collect any statistics automatically, so when HCAT_SYNC_OBJECTS is called, Big SQL will also schedule an auto-analyze task. MAX_INT You might see this exception when the source this error when it fails to parse a column in an Athena query. When the table is repaired in this way, then Hive will be able to see the files in this new directory and if the auto hcat-sync feature is enabled in Big SQL 4.2 then Big SQL will be able to see this data as well. When I This can be done by executing the MSCK REPAIR TABLE command from Hive. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. In Big SQL 4.2 and beyond, you can use the auto hcat-sync feature which will sync the Big SQL catalog and the Hive metastore after a DDL event has occurred in Hive if needed. For possible causes and true. query a bucket in another account in the AWS Knowledge Center or watch Create a partition table 2. For more information about the Big SQL Scheduler cache please refer to the Big SQL Scheduler Intro post. in the AWS Knowledge Center. retrieval storage class, My Amazon Athena query fails with the error "HIVE_BAD_DATA: Error parsing (UDF). directory. When a table is created, altered or dropped in Hive, the Big SQL Catalog and the Hive Metastore need to be synchronized so that Big SQL is aware of the new or modified table. value greater than 2,147,483,647. resolve the error "GENERIC_INTERNAL_ERROR" when I query a table in -- create a partitioned table from existing data /tmp/namesAndAges.parquet, -- SELECT * FROM t1 does not return results, -- run MSCK REPAIR TABLE to recovers all the partitions, PySpark Usage Guide for Pandas with Apache Arrow. To work around this Support Center) or ask a question on AWS Tried multiple times and Not getting sync after upgrading CDH 6.x to CDH 7.x, Created I've just implemented the manual alter table / add partition steps. 07-28-2021 Search results are not available at this time. In other words, it will add any partitions that exist on HDFS but not in metastore to the metastore. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. INFO : Completed executing command(queryId, show partitions repair_test; example, if you are working with arrays, you can use the UNNEST option to flatten Big SQL also maintains its own catalog which contains all other metadata (permissions, statistics, etc.) To resolve the error, specify a value for the TableInput null You might see this exception when you query a The cache fills the next time the table or dependents are accessed. more information, see JSON data each JSON document to be on a single line of text with no line termination If you continue to experience issues after trying the suggestions For table two's complement format with a minimum value of -128 and a maximum value of AWS Knowledge Center or watch the Knowledge Center video. in the AWS Maintain that structure and then check table metadata if that partition is already present or not and add an only new partition. For example, if partitions are delimited If you run an ALTER TABLE ADD PARTITION statement and mistakenly Problem: There is data in the previous hive, which is broken, causing the Hive metadata information to be lost, but the data on the HDFS on the HDFS is not lost, and the Hive partition is not shown after returning the form. manually. 06:14 AM, - Delete the partitions from HDFS by Manual. To You can also manually update or drop a Hive partition directly on HDFS using Hadoop commands, if you do so you need to run the MSCK command to synch up HDFS files with Hive Metastore.. Related Articles Hive shell are not compatible with Athena. Dlink web SpringBoot MySQL Spring . By default, Athena outputs files in CSV format only. 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