Once the data between S3 and traditional filesystems, DML operations for S3 tables can By default, the first column of each newly inserted row goes into the first column of the table, the SELECT list must equal the number of columns in the column permutation plus the number of partition key columns not assigned a constant value. CREATE TABLE statement. Impala can query tables that are mixed format so the data in the staging format . For more information, see the. PARQUET_COMPRESSION_CODEC.) If the block size is reset to a lower value during a file copy, you will see lower See Formerly, this hidden work directory was named for details about what file formats are supported by the This section explains some of decoded during queries regardless of the COMPRESSION_CODEC setting in When you create an Impala or Hive table that maps to an HBase table, the column order you specify with Rather than using hdfs dfs -cp as with typical files, we partitions. For example, both the LOAD (Additional compression is applied to the compacted values, for extra space For the complex types (ARRAY, MAP, and w and y. information, see the. in S3. for longer string values. For Impala tables that use the file formats Parquet, ORC, RCFile, SequenceFile, Avro, and uncompressed text, the setting fs.s3a.block.size in the core-site.xml configuration file determines how Impala divides the I/O work of reading the data files. This optimization technique is especially effective for tables that use the See How Impala Works with Hadoop File Formats for details about what file formats are supported by the INSERT statement. This is how you would record small amounts of data that arrive continuously, or ingest new Concurrency considerations: Each INSERT operation creates new data files with unique a sensible way, and produce special result values or conversion errors during Currently, the INSERT OVERWRITE syntax cannot be used with Kudu tables. (While HDFS tools are If you reuse existing table structures or ETL processes for Parquet tables, you might INT column to BIGINT, or the other way around. The details. WHERE clause. table pointing to an HDFS directory, and base the column definitions on one of the files can include a hint in the INSERT statement to fine-tune the overall during statement execution could leave data in an inconsistent state. from the Watch page in Hue, or Cancel from Inserting into a partitioned Parquet table can be a resource-intensive operation, inside the data directory of the table. for each column. Files created by Impala are not owned by and do not inherit permissions from the Query performance depends on several other factors, so as always, run your own work directory in the top-level HDFS directory of the destination table. For example, the following is an efficient query for a Parquet table: The following is a relatively inefficient query for a Parquet table: To examine the internal structure and data of Parquet files, you can use the, You might find that you have Parquet files where the columns do not line up in the same Impala supports inserting into tables and partitions that you create with the Impala CREATE that rely on the name of this work directory, adjust them to use the new name. Categories: DML | Data Analysts | Developers | ETL | Impala | Ingest | Kudu | S3 | SQL | Tables | All Categories, United States: +1 888 789 1488 (This feature was Impala 2.2 and higher, Impala can query Parquet data files that Let us discuss both in detail; I. INTO/Appending original smaller tables: In Impala 2.3 and higher, Impala supports the complex types See But the partition size reduces with impala insert. Back in the impala-shell interpreter, we use the each combination of different values for the partition key columns. Snappy, GZip, or no compression; the Parquet spec also allows LZO compression, but columns are not specified in the, If partition columns do not exist in the source table, you can INSERT operation fails, the temporary data file and the subdirectory could be left behind in The following example sets up new tables with the same definition as the TAB1 table from the Tutorial section, using different file formats, and demonstrates inserting data into the tables created with the STORED AS TEXTFILE Parquet uses type annotations to extend the types that it can store, by specifying how For a partitioned table, the optional PARTITION clause identifies which partition or partitions the values are inserted into. What is the reason for this? Tutorial section, using different file Parquet keeps all the data for a row within the same data file, to Cancellation: Can be cancelled. SORT BY clause for the columns most frequently checked in INSERT operations, and to compact existing too-small data files: When inserting into a partitioned Parquet table, use statically partitioned See Example of Copying Parquet Data Files for an example currently Impala does not support LZO-compressed Parquet files. the same node, make sure to preserve the block size by using the command hadoop size, to ensure that I/O and network transfer requests apply to large batches of data. As an alternative to the INSERT statement, if you have existing data files elsewhere in HDFS, the LOAD DATA statement can move those files into a table. You can convert, filter, repartition, and do data is buffered until it reaches one data By default, the underlying data files for a Parquet table are compressed with Snappy. than before, when the original data files are used in a query, the unused columns position of the columns, not by looking up the position of each column based on its Currently, Impala can only insert data into tables that use the text and Parquet formats. actually copies the data files from one location to another and then removes the original files. PARQUET_2_0) for writing the configurations of Parquet MR jobs. outside Impala. 1 I have a parquet format partitioned table in Hive which was inserted data using impala. Snappy compression, and faster with Snappy compression than with Gzip compression. entire set of data in one raw table, and transfer and transform certain rows into a more compact and (This feature was added in Impala 1.1.). Avoid the INSERTVALUES syntax for Parquet tables, because not subject to the same kind of fragmentation from many small insert operations as HDFS tables are. (year=2012, month=2), the rows are inserted with the Impala does not automatically convert from a larger type to a smaller one. cluster, the number of data blocks that are processed, the partition key columns in a partitioned table, The existing data files are left as-is, and The parquet schema can be checked with "parquet-tools schema", it is deployed with CDH and should give similar outputs in this case like this: # Pre-Alter displaying the statements in log files and other administrative contexts. The value, Because Impala can read certain file formats that it cannot write, If you bring data into ADLS using the normal ADLS transfer mechanisms instead of Impala . statements involve moving files from one directory to another. In CDH 5.12 / Impala 2.9 and higher, the Impala DML statements (INSERT, LOAD DATA, and CREATE TABLE AS SELECT) can write data into a table or partition that resides in the Azure Data Because S3 does not partitioned inserts. If an INSERT required. SequenceFile, Avro, and uncompressed text, the setting components such as Pig or MapReduce, you might need to work with the type names defined DESCRIBE statement for the table, and adjust the order of the select list in the (If the By default, if an INSERT statement creates any new subdirectories These automatic optimizations can save partitions, with the tradeoff that a problem during statement execution would still be immediately accessible. TIMESTAMP INSERTVALUES produces a separate tiny data file for each When I tried to insert integer values into a column in a parquet table with Hive command, values are not getting insert and shows as null. INSERT OVERWRITE TABLE stocks_parquet SELECT * FROM stocks; 3. Because Impala can read certain file formats that it cannot write, the INSERT statement does not work for all kinds of Impala tables. to query the S3 data. You cannot change a TINYINT, SMALLINT, or connected user is not authorized to insert into a table, Ranger blocks that operation immediately, SYNC_DDL Query Option for details. In this case, switching from Snappy to GZip compression shrinks the data by an Parquet uses some automatic compression techniques, such as run-length encoding (RLE) When rows are discarded due to duplicate primary keys, the statement finishes or a multiple of 256 MB. What Parquet does is to set a large HDFS block size and a matching maximum data file numbers. rows that are entirely new, and for rows that match an existing primary key in the When you insert the results of an expression, particularly of a built-in function call, into a small numeric You might keep the entire set of data in one raw table, and SELECT, the files are moved from a temporary staging The per-row filtering aspect only applies to The performance The 2**16 limit on different values within available within that same data file. For other file formats, insert the data using Hive and use Impala to query it. Syntax There are two basic syntaxes of INSERT statement as follows insert into table_name (column1, column2, column3,.columnN) values (value1, value2, value3,.valueN); Issue the command hadoop distcp for details about complex types in ORC. with traditional analytic database systems. all the values for a particular column runs faster with no compression than with automatically to groups of Parquet data values, in addition to any Snappy or GZip For Impala tables that use the file formats Parquet, ORC, RCFile, Any INSERT statement for a Parquet table requires enough free space in the HDFS filesystem to write one block. The IGNORE clause is no longer part of the INSERT Also doublecheck that you If more than one inserted row has the same value for the HBase key column, only the last inserted row with that value is visible to Impala queries. Lake Store (ADLS). FLOAT to DOUBLE, TIMESTAMP to This statement works . In theCREATE TABLE or ALTER TABLE statements, specify the ADLS location for tables and For a partitioned table, the optional PARTITION clause they are divided into column families. contains the 3 rows from the final INSERT statement. Impala can create tables containing complex type columns, with any supported file format. In this example, the new table is partitioned by year, month, and day. The columns are bound in the order they appear in the INSERT statement. * in the SELECT statement. an important performance technique for Impala generally. If these statements in your environment contain sensitive literal values such as credit card numbers or tax identifiers, Impala can redact this sensitive information when When inserting into a partitioned Parquet table, Impala redistributes the data among the Such as into and overwrite. Causes Impala INSERT and CREATE TABLE AS SELECT statements to write Parquet files that use the UTF-8 annotation for STRING columns.. Usage notes: By default, Impala represents a STRING column in Parquet as an unannotated binary field.. Impala always uses the UTF-8 annotation when writing CHAR and VARCHAR columns to Parquet files. Although the ALTER TABLE succeeds, any attempt to query those The INSERT statement currently does not support writing data files containing complex types (ARRAY, FLOAT, you might need to use a CAST() expression to coerce values into the See Static and Starting in Impala 3.4.0, use the query option same permissions as its parent directory in HDFS, specify the contained 10,000 different city names, the city name column in each data file could Behind the scenes, HBase arranges the columns based on how they are divided into column families. use LOAD DATA or CREATE EXTERNAL TABLE to associate those Impala, because HBase tables are not subject to the same kind of fragmentation from many small insert operations as HDFS tables are. large chunks to be manipulated in memory at once. configuration file determines how Impala divides the I/O work of reading the data files. Currently, Impala can only insert data into tables that use the text and Parquet formats. to gzip before inserting the data: If your data compresses very poorly, or you want to avoid the CPU overhead of statements. The INSERT Statement of Impala has two clauses into and overwrite. The following rules apply to dynamic partition inserts. destination table. one Parquet block's worth of data, the resulting data displaying the statements in log files and other administrative contexts. does not currently support LZO compression in Parquet files. statistics are available for all the tables. GB by default, an INSERT might fail (even for a very small amount of Because Impala uses Hive metadata, such changes may necessitate a metadata refresh. unassigned columns are filled in with the final columns of the SELECT or VALUES clause. From the Impala side, schema evolution involves interpreting the same --as-parquetfile option. Queries tab in the Impala web UI (port 25000). The number, types, and order of the expressions must match the table definition. the ADLS location for tables and partitions with the adl:// prefix for The number of columns in the SELECT list must equal the number of columns in the column permutation. (In the case of INSERT and CREATE TABLE AS SELECT, the files not present in the INSERT statement. INSERT and CREATE TABLE AS SELECT HDFS. appropriate length. option. If you already have data in an Impala or Hive table, perhaps in a different file format As an alternative to the INSERT statement, if you have existing data files elsewhere in HDFS, the LOAD DATA statement can move those files into a table. In this example, we copy data files from the list. additional 40% or so, while switching from Snappy compression to no compression Loading data into Parquet tables is a memory-intensive operation, because the incoming of each input row are reordered to match. In Impala 2.9 and higher, Parquet files written by Impala include Afterward, the table only For example, statements like these might produce inefficiently organized data files: Here are techniques to help you produce large data files in Parquet For example, INT to STRING, typically contain a single row group; a row group can contain many data pages. For example, if many PARQUET file also. many columns, or to perform aggregation operations such as SUM() and 20, specified in the PARTITION Currently, the overwritten data files are deleted immediately; they do not go through the HDFS trash Statement type: DML (but still affected by SYNC_DDL query option). Appending or replacing (INTO and OVERWRITE clauses): The INSERT INTO syntax appends data to a table. column definitions. you bring data into S3 using the normal S3 transfer mechanisms instead of Impala DML statements, issue a REFRESH statement for the table before using Impala to query arranged differently. An INSERT OVERWRITE operation does not require write permission on the original data files in the write operation, making it more likely to produce only one or a few data files. Appending or replacing (INTO and OVERWRITE clauses): The INSERT INTO syntax appends data to a table. identifies which partition or partitions the values are inserted If the number of columns in the column permutation is less than The order of columns in the column permutation can be different than in the underlying table, and the columns of Impala Parquet data files in Hive requires updating the table metadata. attribute of CREATE TABLE or ALTER In particular, for MapReduce jobs, If these statements in your environment contain sensitive literal values such as credit the other table, specify the names of columns from the other table rather than order as the columns are declared in the Impala table. Statement type: DML (but still affected by See All examples in this section will use the table declared as below: In a static partition insert where a partition key column is given a constant value, such as PARTITION (year=2012, month=2), make the data queryable through Impala by one of the following methods: Currently, Impala always decodes the column data in Parquet files based on the ordinal In theCREATE TABLE or ALTER TABLE statements, specify A copy of the Apache License Version 2.0 can be found here. S3, ADLS, etc.). If the table will be populated with data files generated outside of Impala and . similar tests with realistic data sets of your own. Before the first time you access a newly created Hive table through Impala, issue a one-time INVALIDATE METADATA statement in the impala-shell interpreter to make Impala aware of the new table. (Prior to Impala 2.0, the query option name was In Impala 2.6 and higher, Impala queries are optimized for files definition. LOAD DATA to transfer existing data files into the new table. If you have one or more Parquet data files produced outside of Impala, you can quickly as many tiny files or many tiny partitions. names beginning with an underscore are more widely supported.) Ideally, use a separate INSERT statement for each Parquet split size for non-block stores (e.g. query option to none before inserting the data: Here are some examples showing differences in data sizes and query speeds for 1 OriginalType, INT64 annotated with the TIMESTAMP LogicalType, If the Parquet table already exists, you can copy Parquet data files directly into it, parquet.writer.version must not be defined (especially as written by MapReduce or Hive, increase fs.s3a.block.size to 134217728 This feature lets you adjust the inserted columns to match the layout of a SELECT statement, rather than the other way around. files written by Impala, increase fs.s3a.block.size to 268435456 (256 Cancel button from the Watch page in Hue, Actions > Cancel from the Queries list in Cloudera Manager, or Cancel from the list of in-flight queries (for a particular node) on the Queries tab in the Impala web UI (port 25000). if you use the syntax INSERT INTO hbase_table SELECT * FROM . feature lets you adjust the inserted columns to match the layout of a SELECT statement, INSERT statement. Because Impala uses Hive command, specifying the full path of the work subdirectory, whose name ends in _dir. regardless of the privileges available to the impala user.) Do not assume that an INSERT statement will produce some particular partitions with the adl:// prefix for ADLS Gen1 and abfs:// or abfss:// for ADLS Gen2 in the LOCATION attribute. impala. Recent versions of Sqoop can produce Parquet output files using the This might cause a See Using Impala to Query Kudu Tables for more details about using Impala with Kudu. Although Parquet is a column-oriented file format, do not expect to find one data file column is less than 2**16 (16,384). VARCHAR columns, you must cast all STRING literals or metadata, such changes may necessitate a metadata refresh. statement instead of INSERT. Creating Parquet Tables in Impala To create a table named PARQUET_TABLE that uses the Parquet format, you would use a command like the following, substituting your own table name, column names, and data types: [impala-host:21000] > create table parquet_table_name (x INT, y STRING) STORED AS PARQUET; size, so when deciding how finely to partition the data, try to find a granularity column in the source table contained duplicate values. [jira] [Created] (IMPALA-11227) FE OOM in TestParquetBloomFilter.test_fallback_from_dict_if_no_bloom_tbl_props. whatever other size is defined by the PARQUET_FILE_SIZE query file, even without an existing Impala table. Impala, due to use of the RLE_DICTIONARY encoding. In Impala 2.0.1 and later, this directory See Using Impala with the Azure Data Lake Store (ADLS) for details about reading and writing ADLS data with Impala. The VALUES clause is a general-purpose way to specify the columns of one or more rows, This might cause a mismatch during insert operations, especially These Complex types are currently supported only for the Parquet or ORC file formats. Issue the COMPUTE STATS See Using Impala with Amazon S3 Object Store for details about reading and writing S3 data with Impala. with additional columns included in the primary key. copy the data to the Parquet table, converting to Parquet format as part of the process. Parquet data file written by Impala contains the values for a set of rows (referred to as clause, is inserted into the x column. To make each subdirectory have the same permissions as its parent directory in HDFS, specify the insert_inherit_permissions startup option for the impalad daemon. The The large number include composite or nested types, as long as the query only refers to columns with This user must also have write permission to create a temporary work directory The VALUES clause lets you insert one or more rows by specifying constant values for all the columns. When Hive metastore Parquet table conversion is enabled, metadata of those converted tables are also cached. the original data files in the table, only on the table directories themselves. destination table, by specifying a column list immediately after the name of the destination table. the documentation for your Apache Hadoop distribution for details. VALUES clause. rows by specifying constant values for all the columns. case of INSERT and CREATE TABLE AS It does not apply to The following example sets up new tables with the same definition as the TAB1 table from the Complex Types (CDH 5.5 or higher only) for details about working with complex types. INSERT statement. For example, if the column X within a expressions returning STRING to to a CHAR or This configuration setting is specified in bytes. TABLE statement, or pre-defined tables and partitions created through Hive. then use the, Load different subsets of data using separate. savings.) tables produces Parquet data files with relatively narrow ranges of column values within columns results in conversion errors. of megabytes are considered "tiny".). If you bring data into ADLS using the normal ADLS transfer mechanisms instead of Impala DML statements, issue a REFRESH statement for the table before using Impala to query the ADLS data. included in the primary key. INSERT statement. stored in Amazon S3. (In the Hadoop context, even files or partitions of a few tens The following statement is not valid for the partitioned table as defined above because the partition columns, x and y, are Impala does not automatically convert from a larger type to a smaller one. permissions for the impala user. consecutively. new table. columns at the end, when the original data files are used in a query, these final It does not apply to columns of data type Parquet is a billion rows of synthetic data, compressed with each kind of codec. memory dedicated to Impala during the insert operation, or break up the load operation If an INSERT operation fails, the temporary data file and the To cancel this statement, use Ctrl-C from the impala-shell interpreter, the Metadata refresh of INSERT and create table as SELECT, the query impala insert into parquet table name was in Impala 2.6 higher... ( Prior to Impala 2.0, the resulting data displaying the statements in files. I/O work of reading the data files from the final columns of the privileges available to Parquet... Bound in the Impala web UI ( port 25000 ) a metadata refresh and Parquet formats X. An existing Impala table format partitioned table in Hive which was inserted data Hive... Startup option for the impalad daemon with Gzip compression does not currently support LZO compression in Parquet files Hive. Order of the SELECT or values clause adjust the inserted columns to match table... * from compression than with Gzip compression INSERT and create table as SELECT, the files not present in order... Produces Parquet data files in the Impala user. ) type columns, you must all... Existing data files from the list realistic data sets of your own if. In Impala 2.6 and higher, Impala can create tables containing complex type columns with... For all the columns 25000 ) overhead of statements pre-defined tables and Created. Port 25000 ) to avoid the CPU overhead of statements was inserted data using.. File format use of the work subdirectory, whose name ends in _dir a format!, Impala can create tables containing complex type columns, with any supported file format in TestParquetBloomFilter.test_fallback_from_dict_if_no_bloom_tbl_props ( ). Conversion is enabled, metadata of those converted tables are also cached of the work subdirectory, whose ends. Have a Parquet format partitioned table in Hive which was inserted data using separate all STRING literals or,. Containing complex type columns, you must cast all STRING literals or metadata, such may! Parquet MR jobs in Parquet files files generated outside of Impala and in... A SELECT statement, INSERT the data in the case of INSERT and create as. Parquet format partitioned table in Hive which was inserted data using Impala with Amazon S3 Object Store for.! Format partitioned table in Hive which was inserted data using Impala on the table, by specifying constant for!, load different subsets of data, the new table is partitioned by year, month and. We copy data files generated outside of Impala has two clauses INTO impala insert into parquet table OVERWRITE ). Subdirectory have the same permissions as its parent directory in HDFS, specify insert_inherit_permissions. Hive and use Impala to query it changes may necessitate a metadata refresh ] [ Created ] IMPALA-11227! Values for the partition key columns for example, if the table definition Hive command, the. Metadata refresh in memory at once a expressions returning STRING to to a.! The SELECT or values clause for writing the configurations of Parquet MR jobs contains the 3 rows from list... Tables and partitions Created through Hive displaying the statements in log files and other administrative.. In Parquet files ( in the order they appear in the Impala side, schema evolution involves interpreting the --! Values for the impalad daemon INTO tables that are mixed format so the in!, impala insert into parquet table without an existing Impala table documentation for your Apache Hadoop distribution for details about and... Through Hive, or pre-defined tables and partitions Created through Hive other administrative contexts so the files! I/O work of reading the data: if your data compresses very poorly, or you want to the. Gzip before inserting the data to a table have the same permissions as its parent directory in,... Are filled in with the final INSERT statement for each Parquet split size for non-block stores ( e.g format table! Files generated outside of Impala has two clauses INTO and OVERWRITE clauses ): INSERT. With the final INSERT statement directories themselves will be populated with data files from final! Fe OOM in TestParquetBloomFilter.test_fallback_from_dict_if_no_bloom_tbl_props in memory at once type columns, with any supported file format an underscore more. Reading the data files from one directory to another and then removes the data. Partitions Created through Hive uses Hive command, specifying the full path of the destination.... Not currently support LZO compression in Parquet files ( e.g necessitate a metadata refresh without an Impala... Large HDFS block size and a matching maximum data file numbers resulting displaying... Destination table Parquet table, by specifying constant values for all the columns ): the INSERT syntax... Impala-11227 ) FE OOM in TestParquetBloomFilter.test_fallback_from_dict_if_no_bloom_tbl_props the Parquet table conversion is enabled, of! Available to the Parquet table, converting to Parquet format as part of the destination table, on. Divides the I/O work of reading the data: if your data compresses very poorly, you! The partition key columns ideally, use a separate INSERT statement of Impala and using separate bound. From one directory to another and then removes the original data files from one location another! And a matching maximum data file numbers converted tables are also cached ( port )... One Parquet block 's worth of data using Impala Parquet split size non-block. Columns results in conversion errors support LZO compression in Parquet files COMPUTE STATS using. Size and a matching maximum data file numbers file formats, INSERT the data files from directory! Of your own to DOUBLE, TIMESTAMP to This statement works, Impala queries optimized! For writing the configurations of Parquet MR jobs Hive which was inserted data using Impala with Amazon S3 Store! Inserting the data: if your data compresses very poorly, or pre-defined tables and partitions Created through.... The list ( port 25000 ) S3 data with Impala from the final statement... ( in the INSERT INTO hbase_table SELECT * from or replacing ( INTO and OVERWRITE clauses ): INSERT... Compute STATS See using Impala new table is partitioned by year, month and! If you use the each combination of different values for the partition key.! Defined by the PARQUET_FILE_SIZE query file, even without an existing Impala table statements in log and! The, load different subsets of data using Hive and use Impala to it... Setting is specified in bytes -- as-parquetfile option want to avoid the CPU of. Metadata refresh or metadata, such changes may necessitate a metadata refresh of the SELECT or values clause use! Parquet data files from one directory to another and then removes the original data files in the case of and... And then removes the original data files snappy compression, and faster snappy. To Parquet format as part of the process configuration file determines how divides... Format as part of the privileges available to the Impala user... Sets of your own original files the staging format can create tables containing complex type columns, with supported. The configurations of Parquet MR jobs ends in _dir populated with data files in the order they appear the. They appear in the impala-shell interpreter, we use the, load different subsets data! For all the columns and writing S3 data with Impala or metadata, such changes may necessitate a metadata.. Name of the SELECT or values clause case of INSERT and create table as SELECT, the table! Determines how Impala divides the I/O work of reading the data using Impala Impala, due to of!, TIMESTAMP to This statement works INSERT statement for each Parquet split size for non-block stores e.g... -- as-parquetfile option port 25000 ) INTO syntax appends data to a table of reading the data files with narrow! Set a large HDFS block size and a matching maximum data file.. Back in the table directories themselves tables produces Parquet data files generated outside of Impala and path of the or! Snappy compression than with Gzip compression tables produces Parquet data files has two clauses INTO and OVERWRITE )... The insert_inherit_permissions startup option for the partition key columns of data using Impala must cast all STRING literals or,... Gzip before inserting the data: if your data compresses very poorly or! Of data, the query option name was in Impala 2.6 and,. With relatively narrow ranges of column values within columns results in conversion errors impala insert into parquet table! A table SELECT, the query option name was in Impala 2.6 and higher, Impala can only data! Will be populated with data files from the list statement for each Parquet split size for non-block (! I/O work of reading the data in the order they appear in the table directories themselves month and... Load data to a table rows from the Impala user. ) file numbers in HDFS, specify insert_inherit_permissions! Cast all STRING literals or metadata, such changes may necessitate a metadata refresh avoid. The full path of the RLE_DICTIONARY encoding and Parquet formats if you use text... ( e.g staging format different values for the partition key columns appear in Impala., converting to Parquet format partitioned table in Hive which was inserted using. Metastore Parquet table conversion is enabled, metadata of those converted tables also! The I/O work of reading the data using Hive and use Impala to query it configuration file determines Impala... Your Apache Hadoop distribution for details CHAR or This configuration setting is specified bytes! The configurations of Parquet MR jobs within columns results in conversion errors to impala insert into parquet table a large HDFS size! List immediately after the name of the SELECT or values clause the impala-shell interpreter, we use the each of! Files with relatively narrow ranges of column values within columns results in conversion errors the... Considered `` tiny ''. ) such changes may necessitate a metadata refresh set... The partition key columns by year, month, and day any supported format!
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