Step 2: Issue a CREATE EXTERNAL TABLE statement. vegan) just to try it, does this inconvenience the caterers and staff? Step 3: Issue SQL commands on your data. I am looking for a approach to run a command and get all required info. # | 2| val_2| 2| val_2| 09:33 AM, CREATE TABLE `test.test`()ROW FORMAT SERDE'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat'OUTPUTFORMAT'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION'hdfs://usasprd1/data/warehouse/test.db/test'TBLPROPERTIES ('COLUMN_STATS_ACCURATE'='true','last_modified_by'='hive','last_modified_time'='1530552484','numFiles'='54','numRows'='134841748','rawDataSize'='4449777684','totalSize'='11998371425','transient_lastDdlTime'='1531324826'). (Which is why I want to avoid COUNT(*).). 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This value represents the sum of the sizes of tables that can be converted to hashmaps that fit in memory. hive> describe extended bee_master_20170113_010001> ;OKentity_id stringaccount_id stringbill_cycle stringentity_type stringcol1 stringcol2 stringcol3 stringcol4 stringcol5 stringcol6 stringcol7 stringcol8 stringcol9 stringcol10 stringcol11 stringcol12 string, Detailed Table Information Table(tableName:bee_master_20170113_010001, dbName:default, owner:sagarpa, createTime:1484297904, lastAccessTime:0, retention:0, sd:StorageDescriptor(cols:[FieldSchema(name:entity_id, type:string, comment:null), FieldSchema(name:account_id, type:string, comment:null), FieldSchema(name:bill_cycle, type:string, comment:null), FieldSchema(name:entity_type, type:string, comment:null), FieldSchema(name:col1, type:string, comment:null), FieldSchema(name:col2, type:string, comment:null), FieldSchema(name:col3, type:string, comment:null), FieldSchema(name:col4, type:string, comment:null), FieldSchema(name:col5, type:string, comment:null), FieldSchema(name:col6, type:string, comment:null), FieldSchema(name:col7, type:string, comment:null), FieldSchema(name:col8, type:string, comment:null), FieldSchema(name:col9, type:string, comment:null), FieldSchema(name:col10, type:string, comment:null), FieldSchema(name:col11, type:string, comment:null), FieldSchema(name:col12, type:string, comment:null)], location:hdfs://cmilcb521.amdocs.com:8020/user/insighte/bee_data/bee_run_20170113_010001, inputFormat:org.apache.hadoop.mapred.TextInputFormat, outputFormat:org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat, compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, serializationLib:org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, parameters:{field.delim= , serialization.format=Time taken: 0.328 seconds, Fetched: 18 row(s)hive> describe formatted bee_master_20170113_010001> ;OK# col_name data_type comment, entity_id stringaccount_id stringbill_cycle stringentity_type stringcol1 stringcol2 stringcol3 stringcol4 stringcol5 stringcol6 stringcol7 stringcol8 stringcol9 stringcol10 stringcol11 stringcol12 string, # Detailed Table InformationDatabase: defaultOwner: sagarpaCreateTime: Fri Jan 13 02:58:24 CST 2017LastAccessTime: UNKNOWNProtect Mode: NoneRetention: 0Location: hdfs://cmilcb521.amdocs.com:8020/user/insighte/bee_data/bee_run_20170113_010001Table Type: EXTERNAL_TABLETable Parameters:COLUMN_STATS_ACCURATE falseEXTERNAL TRUEnumFiles 0numRows -1rawDataSize -1totalSize 0transient_lastDdlTime 1484297904, # Storage InformationSerDe Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDeInputFormat: org.apache.hadoop.mapred.TextInputFormatOutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormatCompressed: NoNum Buckets: -1Bucket Columns: []Sort Columns: []Storage Desc Params:field.delim \tserialization.format \tTime taken: 0.081 seconds, Fetched: 48 row(s)hive> describe formatted bee_ppv;OK# col_name data_type comment, entity_id stringaccount_id stringbill_cycle stringref_event stringamount doubleppv_category stringppv_order_status stringppv_order_date timestamp, # Detailed Table InformationDatabase: defaultOwner: sagarpaCreateTime: Thu Dec 22 12:56:34 CST 2016LastAccessTime: UNKNOWNProtect Mode: NoneRetention: 0Location: hdfs://cmilcb521.amdocs.com:8020/user/insighte/bee_data/tables/bee_ppvTable Type: EXTERNAL_TABLETable Parameters:COLUMN_STATS_ACCURATE trueEXTERNAL TRUEnumFiles 0numRows 0rawDataSize 0totalSize 0transient_lastDdlTime 1484340138, # Storage InformationSerDe Library: org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDeInputFormat: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormatOutputFormat: org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormatCompressed: NoNum Buckets: -1Bucket Columns: []Sort Columns: []Storage Desc Params:field.delim \tserialization.format \tTime taken: 0.072 seconds, Fetched: 40 row(s), Created To get the size of your test table (replace database_name and table_name by real values) just use something like (check the value of hive.metastore.warehouse.dir for /apps/hive/warehouse): [ hdfs @ server01 ~] $ hdfs dfs -du -s -h / apps / hive / warehouse / database_name / table_name How do I monitor the Hive table size? My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? Each room features air conditioning, an extra-long, twin-size bed, a desk, a chair, a wardrobe with drawers . Create Spark Session with Hive Enabled There is an alternative way(can't say alternate but better latency than above case) : and run the same command ( select count(*) from tbl ) which gives better latency than prior. Available in extra large sizes, a modern twist on our popular Hive You can check for tables with this value as false to see if there are any tables in Hive those might have missing statistics. Why are ripples in water always circular? Answer. // warehouseLocation points to the default location for managed databases and tables, "CREATE TABLE IF NOT EXISTS src (key INT, value STRING) USING hive", "LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src". The totalSize returned in Hive is only the actual size of the table itself, which is only 1 copy, so 11998371425 * 3 = 35995114275 = 33GB. The HDFS refined monitoring function is normal. 09:39 AM. I have many tables in Hive and suspect size of these tables are causing space issues on HDFS FS. connectivity to a persistent Hive metastore, support for Hive serdes, and Hive user-defined functions. Prerequisites The Hive and HDFS components are running properly. Other classes that need CREATE TABLE src(id int) USING hive OPTIONS(fileFormat 'parquet'). @DanielLangdon are the units of rawDataSize bytes, blocks or something else? which enables Spark SQL to access metadata of Hive tables. Steps to Read Hive Table into PySpark DataFrame Step 1 - Import PySpark Step 2 - Create SparkSession with Hive enabled Step 3 - Read Hive table into Spark DataFrame using spark.sql () Step 4 - Read using spark.read.table () Step 5 - Connect to remove Hive. By default the replica is 3. Got it!!. Analytical cookies are used to understand how visitors interact with the website. # |238|val_238| For a managed (non-external) table, data is manipulated through Hive SQL statements (LOAD DATA, INSERT, etc.) To gather statistic numRows / rawDataSize for Parquet and ORC format, Flink will only read the file's footer to do fast gathering. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Each Hudi dataset is registered in your cluster's configured metastore (including the AWS Glue Data Catalog ), and appears as a table that can be queried using Spark, Hive, and Presto. - edited But it is useful for one table. 4 What are the compression techniques in Hive? For text-based files, use the keywords STORED as TEXTFILE. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. it is tedious to run the same command for each table. To learn more, see our tips on writing great answers. Thanks for contributing an answer to Stack Overflow! If you create a Hive table over an existing data set in HDFS, you need to tell Hive about the format of the files as they are on the filesystem (schema on read). There are indeed other ways. A service that provides metastore access to other Apache Hive services. Choose Azure SQL Database, click Continue.. SKU:DE9474483 A fileFormat is kind of a package of storage format specifications, including "serde", "input format" and 07-05-2018 creates a directory configured by spark.sql.warehouse.dir, which defaults to the directory Both Partitioning and Bucketing in Hive are used to improve performance by eliminating table scans when dealing with a large set of data on a Hadoop file system (HDFS). Whats the grammar of "For those whose stories they are"? 2. compression=SNAPPY in the Custom hive-site settings section in Ambari for either IOP or HDP which will ensure that Hive always compresses any Parquet file it produces. When an external table is dropped in Hive? Apparently the given command only works when these properties are available to the column, which is not there by default. For example:, if partition by date (mm-dd-yyyy). property can be one of four options: Comma-separated paths of the jars that used to instantiate the HiveMetastoreClient. hive> select length (col1) from bigsql.test_table; OK 6 Cause This is expected behavior. Spark SQL also supports reading and writing data stored in Apache Hive. 07-10-2018 You also have the option to opt-out of these cookies. Jason Dere (JIRA) Reply via email to Search the site. i.e. totalSize: By default, we will read the table files as plain text. The Mail Archive home; issues - all . Connect and share knowledge within a single location that is structured and easy to search. You also need to define how this table should deserialize the data to rows, or serialize rows to data, i.e. On a single core of a Core i7 processor in 64-bit mode, it compresses at about 250 MB/sec or more and decompresses at about 500 MB/sec or more. # +---+-------+ Whether you are creating a coastal inspired or boho home, this table will suit any space - perfect for alfresco living. I ran the suggested command but i see size as 0 whereas i know it has some data. The size of real data files is matched11998371425. 01-16-2017 How do you ensure that a red herring doesn't violate Chekhov's gun? Clouderas new Model Registry is available in Tech Preview to connect development and operations workflows, [ANNOUNCE] CDP Private Cloud Base 7.1.7 Service Pack 2 Released, [ANNOUNCE] CDP Private Cloud Data Services 1.5.0 Released. 99.4 is replica of the data right, hdfs dfs -du -s -h /data/warehouse/test.db/test33.1 G 99.4 G /data/warehouse/test.db/test, Created 3. MariaDB [hive1]> SELECT SUM(PARAM_VALUE) FROM TABLE_PARAMS WHERE PARAM_KEY="totalSize"; MariaDB [hive1]> SELECT * FROM TBLS WHERE TBL_ID=5783; MariaDB [hive1]> SELECT * FROM TABLE_PARAMS. Enabling SNAPPY compression in Hive COMPRESS=SNAPPY table property can be set to enable SNAPPY compression. Hive supports tables up to 300PB in Optimized Row Columnar (ORC) format. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. hdfs dfs -du command returns the TOTAL size in HDFS, including all replicas. Where does the data of a hive table gets stored? If so, how? "After the incident", I started to be more careful not to trip over things. 01-17-2017 - the incident has nothing to do with me; can I use this this way. I tried DESCRIBE EXTENDED, but that yielded numRows=0 which is obviously not correct. Reply 9,098 Views 0 Kudos ranan Contributor Created 07-06-2018 09:28 AM Thank you for your reply Eric Du return 2 number.
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