mapred.reduce.tasks -1 The default number of reduce tasks per job. Typically set to a prime close to the number of available hosts. Ignored when mapred.job.tracker is "local". Hadoop set this to 1 by default, whereas Hive uses -1 as its default value. By setting this property to -1, Hive will automatically figure out what should be the number of reducers. hive.exec.reducers.bytes.per.reducer 1000000000 size per reducer.The default is 1G, i.e if the input size is 10G, it will use 10 reducers. hive.exec.reducers.max 999 max number of reducers will be used. If the one specified in the configuration parameter mapred.reduce.tasks is negative, Hive will use this one as the max number of reducers when automatically determine number of reducers. hive.cli.print.header false Whether to print the names of the columns in query output. hive.cli.print.current.db false Whether to include the current database in the Hive prompt. hive.cli.prompt hive Command line prompt configuration value. Other hiveconf can be used in this configuration value. Variable substitution will only be invoked at the Hive CLI startup. hive.cli.pretty.output.num.cols -1 The number of columns to use when formatting output generated by the DESCRIBE PRETTY table_name command. If the value of this property is -1, then Hive will use the auto-detected terminal width. hive.exec.scratchdir /tmp/hive-${user.name} Scratch space for Hive jobs hive.exec.local.scratchdir /tmp/${user.name} Local scratch space for Hive jobs hive.test.mode false Whether Hive is running in test mode. If yes, it turns on sampling and prefixes the output tablename. hive.test.mode.prefix test_ if Hive is running in test mode, prefixes the output table by this string hive.test.mode.samplefreq 32 if Hive is running in test mode and table is not bucketed, sampling frequency hive.test.mode.nosamplelist if Hive is running in test mode, don't sample the above comma separated list of tables hive.metastore.uris thrift://dataweb01:9083,thrift://dataweb02:9083 Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore. javax.jdo.option.ConnectionURL jdbc:mysql://rm-m5e842126ng59jrv6.mysql.rds.aliyuncs.com:3306/hive JDBC connect string for a JDBC metastore javax.jdo.option.ConnectionDriverName com.mysql.jdbc.Driver Driver class name for a JDBC metastore javax.jdo.PersistenceManagerFactoryClass org.datanucleus.api.jdo.JDOPersistenceManagerFactory class implementing the jdo persistence javax.jdo.option.DetachAllOnCommit true detaches all objects from session so that they can be used after transaction is committed javax.jdo.option.NonTransactionalRead true reads outside of transactions javax.jdo.option.ConnectionUserName hive_xmtnrifc2c username to use against metastore database javax.jdo.option.ConnectionPassword 6185caxgEzevuykFbystrhiI56968q20 password to use against metastore database javax.jdo.option.Multithreaded true Set this to true if multiple threads access metastore through JDO concurrently. datanucleus.connectionPoolingType BoneCP Uses a BoneCP connection pool for JDBC metastore datanucleus.validateTables false validates existing schema against code. turn this on if you want to verify existing schema datanucleus.validateColumns false validates existing schema against code. turn this on if you want to verify existing schema datanucleus.validateConstraints false validates existing schema against code. turn this on if you want to verify existing schema datanucleus.storeManagerType rdbms metadata store type datanucleus.autoCreateSchema true creates necessary schema on a startup if one doesn't exist. set this to false, after creating it once datanucleus.autoStartMechanismMode checked throw exception if metadata tables are incorrect datanucleus.transactionIsolation read-committed Default transaction isolation level for identity generation. datanucleus.cache.level2 false Use a level 2 cache. Turn this off if metadata is changed independently of Hive metastore server datanucleus.cache.level2.type SOFT SOFT=soft reference based cache, WEAK=weak reference based cache. datanucleus.identifierFactory datanucleus1 Name of the identifier factory to use when generating table/column names etc. 'datanucleus1' is used for backward compatibility with DataNucleus v1 datanucleus.plugin.pluginRegistryBundleCheck LOG Defines what happens when plugin bundles are found and are duplicated [EXCEPTION|LOG|NONE] hive.metastore.warehouse.dir /user/hive/warehouse location of default database for the warehouse hive.metastore.execute.setugi false In unsecure mode, setting this property to true will cause the metastore to execute DFS operations using the client's reported user and group permissions. Note that this property must be set on both the client and server sides. Further note that its best effort. If client sets its to true and server sets it to false, client setting will be ignored. hive.metastore.event.listeners list of comma separated listeners for metastore events. hive.metastore.partition.inherit.table.properties list of comma separated keys occurring in table properties which will get inherited to newly created partitions. * implies all the keys will get inherited. hive.metadata.export.location When used in conjunction with the org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event listener, it is the location to which the metadata will be exported. The default is an empty string, which results in the metadata being exported to the current user's home directory on HDFS. hive.metadata.move.exported.metadata.to.trash When used in conjunction with the org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event listener, this setting determines if the metadata that is exported will subsequently be moved to the user's trash directory alongside the dropped table data. This ensures that the metadata will be cleaned up along with the dropped table data. hive.metastore.partition.name.whitelist.pattern Partition names will be checked against this regex pattern and rejected if not matched. hive.metastore.disallow.incompatible.col.type.change If true (default is false), ALTER TABLE operations which change the type of a column (say STRING) to an incompatible type (say MAP<STRING, STRING>) are disallowed. RCFile default SerDe (ColumnarSerDe) serializes the values in such a way that the datatypes can be converted from string to any type. The map is also serialized as a string, which can be read as a string as well. However, with any binary serialization, this is not true. Blocking the ALTER TABLE prevents ClassCastExceptions when subsequently trying to access old partitions. Primitive types like INT, STRING, BIGINT, etc are compatible with each other and are not blocked. See HIVE-4409 for more details. hive.metastore.end.function.listeners list of comma separated listeners for the end of metastore functions. hive.metastore.event.expiry.duration 0 Duration after which events expire from events table (in seconds) hive.metastore.event.clean.freq 0 Frequency at which timer task runs to purge expired events in metastore(in seconds). hive.metastore.connect.retries 5 Number of retries while opening a connection to metastore hive.metastore.failure.retries 3 Number of retries upon failure of Thrift metastore calls hive.metastore.client.connect.retry.delay 1 Number of seconds for the client to wait between consecutive connection attempts hive.metastore.client.socket.timeout 20 MetaStore Client socket timeout in seconds hive.metastore.rawstore.impl org.apache.hadoop.hive.metastore.ObjectStore Name of the class that implements org.apache.hadoop.hive.metastore.rawstore interface. This class is used to store and retrieval of raw metadata objects such as table, database hive.metastore.batch.retrieve.max 300 Maximum number of objects (tables/partitions) can be retrieved from metastore in one batch. The higher the number, the less the number of round trips is needed to the Hive metastore server, but it may also cause higher memory requirement at the client side. hive.metastore.batch.retrieve.table.partition.max 1000 Maximum number of table partitions that metastore internally retrieves in one batch. hive.default.fileformat TextFile Default file format for CREATE TABLE statement. Options are TextFile and SequenceFile. Users can explicitly say CREATE TABLE ... STORED AS <TEXTFILE|SEQUENCEFILE> to override hive.default.rcfile.serde org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe The default SerDe Hive will use for the RCFile format hive.fileformat.check true Whether to check file format or not when loading data files hive.file.max.footer 100 maximum number of lines for footer user can define for a table file hive.map.aggr true Whether to use map-side aggregation in Hive Group By queries hive.groupby.skewindata false Whether there is skew in data to optimize group by queries hive.optimize.multigroupby.common.distincts true Whether to optimize a multi-groupby query with the same distinct. Consider a query like: from src insert overwrite table dest1 select col1, count(distinct colx) group by col1 insert overwrite table dest2 select col2, count(distinct colx) group by col2; With this parameter set to true, first we spray by the distinct value (colx), and then perform the 2 groups bys. This makes sense if map-side aggregation is turned off. However, with maps-side aggregation, it might be useful in some cases to treat the 2 inserts independently, thereby performing the query above in 2MR jobs instead of 3 (due to spraying by distinct key first). If this parameter is turned off, we don't consider the fact that the distinct key is the same across different MR jobs. hive.groupby.mapaggr.checkinterval 100000 Number of rows after which size of the grouping keys/aggregation classes is performed hive.mapred.local.mem 0 For local mode, memory of the mappers/reducers mapred.input.dir.recursive true For local mode, memory of the mappers/reducers hive.mapjoin.followby.map.aggr.hash.percentmemory 0.3 Portion of total memory to be used by map-side group aggregation hash table, when this group by is followed by map join hive.map.aggr.hash.force.flush.memory.threshold 0.9 The max memory to be used by map-side group aggregation hash table, if the memory usage is higher than this number, force to flush data hive.map.aggr.hash.percentmemory 0.5 Portion of total memory to be used by map-side group aggregation hash table hive.session.history.enabled false Whether to log Hive query, query plan, runtime statistics etc. hive.map.aggr.hash.min.reduction 0.5 Hash aggregation will be turned off if the ratio between hash table size and input rows is bigger than this number. Set to 1 to make sure hash aggregation is never turned off. hive.optimize.index.filter false Whether to enable automatic use of indexes hive.optimize.index.groupby false Whether to enable optimization of group-by queries using Aggregate indexes. hive.optimize.ppd true Whether to enable predicate pushdown hive.optimize.ppd.storage true Whether to push predicates down into storage handlers. Ignored when hive.optimize.ppd is false. hive.ppd.recognizetransivity true Whether to transitively replicate predicate filters over equijoin conditions. hive.optimize.groupby true Whether to enable the bucketed group by from bucketed partitions/tables. hive.optimize.sort.dynamic.partition true When enabled dynamic partitioning column will be globally sorted. This way we can keep only one record writer open for each partition value in the reducer thereby reducing the memory pressure on reducers. hive.optimize.skewjoin.compiletime false Whether to create a separate plan for skewed keys for the tables in the join. This is based on the skewed keys stored in the metadata. At compile time, the plan is broken into different joins: one for the skewed keys, and the other for the remaining keys. And then, a union is performed for the 2 joins generated above. So unless the same skewed key is present in both the joined tables, the join for the skewed key will be performed as a map-side join. The main difference between this parameter and hive.optimize.skewjoin is that this parameter uses the skew information stored in the metastore to optimize the plan at compile time itself. If there is no skew information in the metadata, this parameter will not have any affect. Both hive.optimize.skewjoin.compiletime and hive.optimize.skewjoin should be set to true. Ideally, hive.optimize.skewjoin should be renamed as hive.optimize.skewjoin.runtime, but not doing so for backward compatibility. If the skew information is correctly stored in the metadata, hive.optimize.skewjoin.compiletime would change the query plan to take care of it, and hive.optimize.skewjoin will be a no-op. hive.optimize.union.remove false Whether to remove the union and push the operators between union and the filesink above union. This avoids an extra scan of the output by union. This is independently useful for union queries, and specially useful when hive.optimize.skewjoin.compiletime is set to true, since an extra union is inserted. The merge is triggered if either of hive.merge.mapfiles or hive.merge.mapredfiles is set to true. If the user has set hive.merge.mapfiles to true and hive.merge.mapredfiles to false, the idea was the number of reducers are few, so the number of files anyway are small. However, with this optimization, we are increasing the number of files possibly by a big margin. So, we merge aggressively. hive.mapred.supports.subdirectories true Whether the version of Hadoop which is running supports sub-directories for tables/partitions. Many Hive optimizations can be applied if the Hadoop version supports sub-directories for tables/partitions. It was added by MAPREDUCE-1501 hive.multigroupby.singlereducer false Whether to optimize multi group by query to generate single M/R job plan. If the multi group by query has common group by keys, it will be optimized to generate single M/R job. hive.map.groupby.sorted false If the bucketing/sorting properties of the table exactly match the grouping key, whether to perform the group by in the mapper by using BucketizedHiveInputFormat. The only downside to this is that it limits the number of mappers to the number of files. hive.map.groupby.sorted.testmode false If the bucketing/sorting properties of the table exactly match the grouping key, whether to perform the group by in the mapper by using BucketizedHiveInputFormat. If the test mode is set, the plan is not converted, but a query property is set to denote the same. hive.new.job.grouping.set.cardinality 30 Whether a new map-reduce job should be launched for grouping sets/rollups/cubes. For a query like: select a, b, c, count(1) from T group by a, b, c with rollup; 4 rows are created per row: (a, b, c), (a, b, null), (a, null, null), (null, null, null). This can lead to explosion across map-reduce boundary if the cardinality of T is very high, and map-side aggregation does not do a very good job. This parameter decides if Hive should add an additional map-reduce job. If the grouping set cardinality (4 in the example above), is more than this value, a new MR job is added under the assumption that the original group by will reduce the data size. hive.join.emit.interval 1000 How many rows in the right-most join operand Hive should buffer before emitting the join result. hive.join.cache.size 25000 How many rows in the joining tables (except the streaming table) should be cached in memory. hive.smbjoin.cache.rows 10000 How many rows with the same key value should be cached in memory per SMB joined table. hive.optimize.skewjoin false Whether to enable skew join optimization. The algorithm is as follows: At runtime, detect the keys with a large skew. Instead of processing those keys, store them temporarily in an HDFS directory. In a follow-up map-reduce job, process those skewed keys. The same key need not be skewed for all the tables, and so, the follow-up map-reduce job (for the skewed keys) would be much faster, since it would be a map-join. hive.skewjoin.key 100000 Determine if we get a skew key in join. If we see more than the specified number of rows with the same key in join operator, we think the key as a skew join key. hive.skewjoin.mapjoin.map.tasks 10000 Determine the number of map task used in the follow up map join job for a skew join. It should be used together with hive.skewjoin.mapjoin.min.split to perform a fine grained control. hive.skewjoin.mapjoin.min.split 33554432 Determine the number of map task at most used in the follow up map join job for a skew join by specifying the minimum split size. It should be used together with hive.skewjoin.mapjoin.map.tasks to perform a fine grained control. hive.mapred.mode strict The mode in which the Hive operations are being performed. In strict mode, some risky queries are not allowed to run. They include: Cartesian Product. No partition being picked up for a query. Comparing bigints and strings. Comparing bigints and doubles. Orderby without limit. hive.enforce.bucketmapjoin false If the user asked for bucketed map-side join, and it cannot be performed, should the query fail or not ? For example, if the buckets in the tables being joined are not a multiple of each other, bucketed map-side join cannot be performed, and the query will fail if hive.enforce.bucketmapjoin is set to true. hive.exec.script.maxerrsize 100000 Maximum number of bytes a script is allowed to emit to standard error (per map-reduce task). This prevents runaway scripts from filling logs partitions to capacity hive.exec.script.allow.partial.consumption false When enabled, this option allows a user script to exit successfully without consuming all the data from the standard input. hive.script.operator.id.env.var HIVE_SCRIPT_OPERATOR_ID Name of the environment variable that holds the unique script operator ID in the user's transform function (the custom mapper/reducer that the user has specified in the query) hive.script.operator.truncate.env false Truncate each environment variable for external script in scripts operator to 20KB (to fit system limits) hive.exec.compress.output false This controls whether the final outputs of a query (to a local/HDFS file or a Hive table) is compressed. The compression codec and other options are determined from Hadoop config variables mapred.output.compress* hive.exec.compress.intermediate false This controls whether intermediate files produced by Hive between multiple map-reduce jobs are compressed. The compression codec and other options are determined from Hadoop config variables mapred.output.compress* hive.exec.parallel false Whether to execute jobs in parallel hive.exec.parallel.thread.number 8 How many jobs at most can be executed in parallel hive.exec.rowoffset false Whether to provide the row offset virtual column hive.counters.group.name HIVE The name of counter group for internal Hive variables (CREATED_FILE, FATAL_ERROR, etc.) hive.hwi.war.file lib/hive-hwi-@VERSION@.war This sets the path to the HWI war file, relative to ${HIVE_HOME}. hive.hwi.listen.host 0.0.0.0 This is the host address the Hive Web Interface will listen on hive.hwi.listen.port 9999 This is the port the Hive Web Interface will listen on hive.exec.pre.hooks Comma-separated list of pre-execution hooks to be invoked for each statement. A pre-execution hook is specified as the name of a Java class which implements the org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface. hive.exec.post.hooks Comma-separated list of post-execution hooks to be invoked for each statement. A post-execution hook is specified as the name of a Java class which implements the org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface. hive.exec.failure.hooks Comma-separated list of on-failure hooks to be invoked for each statement. An on-failure hook is specified as the name of Java class which implements the org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface. hive.metastore.init.hooks A comma separated list of hooks to be invoked at the beginning of HMSHandler initialization. An init hook is specified as the name of Java class which extends org.apache.hadoop.hive.metastore.MetaStoreInitListener. hive.client.stats.publishers Comma-separated list of statistics publishers to be invoked on counters on each job. A client stats publisher is specified as the name of a Java class which implements the org.apache.hadoop.hive.ql.stats.ClientStatsPublisher interface. hive.client.stats.counters Subset of counters that should be of interest for hive.client.stats.publishers (when one wants to limit their publishing). Non-display names should be used hive.merge.mapfiles true Merge small files at the end of a map-only job hive.merge.mapredfiles false Merge small files at the end of a map-reduce job hive.merge.tezfiles false Merge small files at the end of a Tez DAG hive.heartbeat.interval 1000 Send a heartbeat after this interval - used by mapjoin and filter operators hive.merge.size.per.task 256000000 Size of merged files at the end of the job hive.merge.smallfiles.avgsize 16000000 When the average output file size of a job is less than this number, Hive will start an additional map-reduce job to merge the output files into bigger files. This is only done for map-only jobs if hive.merge.mapfiles is true, and for map-reduce jobs if hive.merge.mapredfiles is true. hive.mapjoin.smalltable.filesize 25000000 The threshold for the input file size of the small tables; if the file size is smaller than this threshold, it will try to convert the common join into map join hive.ignore.mapjoin.hint true Ignore the mapjoin hint hive.mapjoin.localtask.max.memory.usage 0.90 This number means how much memory the local task can take to hold the key/value into an in-memory hash table. If the local task's memory usage is more than this number, the local task will abort by itself. It means the data of the small table is too large to be held in memory. hive.mapjoin.followby.gby.localtask.max.memory.usage 0.55 This number means how much memory the local task can take to hold the key/value into an in-memory hash table when this map join is followed by a group by. If the local task's memory usage is more than this number, the local task will abort by itself. It means the data of the small table is too large to be held in memory. hive.mapjoin.check.memory.rows 100000 The number means after how many rows processed it needs to check the memory usage hive.auto.convert.join true Whether Hive enables the optimization about converting common join into mapjoin based on the input file size hive.auto.convert.join.noconditionaltask true Whether Hive enables the optimization about converting common join into mapjoin based on the input file size. If this parameter is on, and the sum of size for n-1 of the tables/partitions for a n-way join is smaller than the specified size, the join is directly converted to a mapjoin (there is no conditional task). hive.auto.convert.join.noconditionaltask.size 10000000 If hive.auto.convert.join.noconditionaltask is off, this parameter does not take affect. However, if it is on, and the sum of size for n-1 of the tables/partitions for a n-way join is smaller than this size, the join is directly converted to a mapjoin(there is no conditional task). The default is 10MB hive.auto.convert.join.use.nonstaged false For conditional joins, if input stream from a small alias can be directly applied to join operator without filtering or projection, the alias need not to be pre-staged in distributed cache via mapred local task. Currently, this is not working with vectorization or tez execution engine. hive.script.auto.progress false Whether Hive Transform/Map/Reduce Clause should automatically send progress information to TaskTracker to avoid the task getting killed because of inactivity. Hive sends progress information when the script is outputting to stderr. This option removes the need of periodically producing stderr messages, but users should be cautious because this may prevent infinite loops in the scripts to be killed by TaskTracker. hive.script.serde org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe The default SerDe for transmitting input data to and reading output data from the user scripts. hive.binary.record.max.length 1000 Read from a binary stream and treat each hive.binary.record.max.length bytes as a record. The last record before the end of stream can have less than hive.binary.record.max.length bytes hive.server2.max.start.attempts 30 This number of times HiveServer2 will attempt to start before exiting, sleeping 60 seconds between retries. The default of 30 will keep trying for 30 minutes. hive.server2.transport.mode binary Server transport mode. "binary" or "http". hive.server2.thrift.http.port 10001 Port number when in HTTP mode. hive.server2.thrift.http.path cliservice Path component of URL endpoint when in HTTP mode. hive.server2.thrift.http.min.worker.threads 5 Minimum number of worker threads when in HTTP mode. hive.server2.thrift.http.max.worker.threads 500 Maximum number of worker threads when in HTTP mode. hive.script.recordreader org.apache.hadoop.hive.ql.exec.TextRecordReader The default record reader for reading data from the user scripts. stream.stderr.reporter.prefix reporter: Streaming jobs that log to standard error with this prefix can log counter or status information. stream.stderr.reporter.enabled true Enable consumption of status and counter messages for streaming jobs. hive.script.recordwriter org.apache.hadoop.hive.ql.exec.TextRecordWriter The default record writer for writing data to the user scripts. hive.input.format org.apache.hadoop.hive.ql.io.CombineHiveInputFormat The default input format. Set this to HiveInputFormat if you encounter problems with CombineHiveInputFormat. hive.tez.input.format org.apache.hadoop.hive.ql.io.HiveInputFormat The default input format for tez. Tez groups splits in the AM. hive.udtf.auto.progress false Whether Hive should automatically send progress information to TaskTracker when using UDTF's to prevent the task getting killed because of inactivity. Users should be cautious because this may prevent TaskTracker from killing tasks with infinite loops. hive.mapred.reduce.tasks.speculative.execution true Whether speculative execution for reducers should be turned on. hive.exec.counters.pull.interval 1000 The interval with which to poll the JobTracker for the counters the running job. The smaller it is the more load there will be on the jobtracker, the higher it is the less granular the caught will be. hive.querylog.location /tmp/${user.name} Location of Hive run time structured log file hive.querylog.enable.plan.progress true Whether to log the plan's progress every time a job's progress is checked. These logs are written to the location specified by hive.querylog.location hive.querylog.plan.progress.interval 60000 The interval to wait between logging the plan's progress in milliseconds. If there is a whole number percentage change in the progress of the mappers or the reducers, the progress is logged regardless of this value. The actual interval will be the ceiling of (this value divided by the value of hive.exec.counters.pull.interval) multiplied by the value of hive.exec.counters.pull.interval I.e. if it is not divide evenly by the value of hive.exec.counters.pull.interval it will be logged less frequently than specified. This only has an effect if hive.querylog.enable.plan.progress is set to true. hive.enforce.bucketing false Whether bucketing is enforced. If true, while inserting into the table, bucketing is enforced. hive.enforce.sorting false Whether sorting is enforced. If true, while inserting into the table, sorting is enforced. hive.optimize.bucketingsorting true If hive.enforce.bucketing or hive.enforce.sorting is true, don't create a reducer for enforcing bucketing/sorting for queries of the form: insert overwrite table T2 select * from T1; where T1 and T2 are bucketed/sorted by the same keys into the same number of buckets. hive.enforce.sortmergebucketmapjoin false If the user asked for sort-merge bucketed map-side join, and it cannot be performed, should the query fail or not ? hive.auto.convert.sortmerge.join false Will the join be automatically converted to a sort-merge join, if the joined tables pass the criteria for sort-merge join. hive.auto.convert.sortmerge.join.bigtable.selection.policy org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ The policy to choose the big table for automatic conversion to sort-merge join. By default, the table with the largest partitions is assigned the big table. All policies are: . based on position of the table - the leftmost table is selected org.apache.hadoop.hive.ql.optimizer.LeftmostBigTableSMJ. . based on total size (all the partitions selected in the query) of the table org.apache.hadoop.hive.ql.optimizer.TableSizeBasedBigTableSelectorForAutoSMJ. . based on average size (all the partitions selected in the query) of the table org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ. New policies can be added in future. hive.auto.convert.sortmerge.join.to.mapjoin false If hive.auto.convert.sortmerge.join is set to true, and a join was converted to a sort-merge join, this parameter decides whether each table should be tried as a big table, and effectively a map-join should be tried. That would create a conditional task with n+1 children for a n-way join (1 child for each table as the big table), and the backup task will be the sort-merge join. In some cases, a map-join would be faster than a sort-merge join, if there is no advantage of having the output bucketed and sorted. For example, if a very big sorted and bucketed table with few files (say 10 files) are being joined with a very small sorter and bucketed table with few files (10 files), the sort-merge join will only use 10 mappers, and a simple map-only join might be faster if the complete small table can fit in memory, and a map-join can be performed. hive.metastore.ds.connection.url.hook Name of the hook to use for retrieving the JDO connection URL. If empty, the value in javax.jdo.option.ConnectionURL is used hive.metastore.ds.retry.attempts 1 The number of times to retry a metastore call if there were a connection error hive.metastore.ds.retry.interval 1000 The number of milliseconds between metastore retry attempts hive.metastore.server.min.threads 200 Minimum number of worker threads in the Thrift server's pool. hive.metastore.server.max.threads 100000 Maximum number of worker threads in the Thrift server's pool. hive.metastore.server.tcp.keepalive true Whether to enable TCP keepalive for the metastore server. Keepalive will prevent accumulation of half-open connections. hive.metastore.sasl.enabled false If true, the metastore Thrift interface will be secured with SASL. Clients must authenticate with Kerberos. hive.metastore.thrift.framed.transport.enabled false If true, the metastore Thrift interface will use TFramedTransport. When false (default) a standard TTransport is used. hive.metastore.kerberos.keytab.file The path to the Kerberos Keytab file containing the metastore Thrift server's service principal. hive.metastore.kerberos.principal hive-metastore/_HOST@EXAMPLE.COM The service principal for the metastore Thrift server. The special string _HOST will be replaced automatically with the correct host name. hive.cluster.delegation.token.store.class org.apache.hadoop.hive.thrift.MemoryTokenStore The delegation token store implementation. Set to org.apache.hadoop.hive.thrift.ZooKeeperTokenStore for load-balanced cluster. hive.cluster.delegation.token.store.zookeeper.connectString localhost:2181 The ZooKeeper token store connect string. hive.cluster.delegation.token.store.zookeeper.znode /hive/cluster/delegation The root path for token store data. hive.cluster.delegation.token.store.zookeeper.acl sasl:hive/host1@EXAMPLE.COM:cdrwa,sasl:hive/host2@EXAMPLE.COM:cdrwa ACL for token store entries. List comma separated all server principals for the cluster. hive.metastore.cache.pinobjtypes Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order List of comma separated metastore object types that should be pinned in the cache hive.optimize.reducededuplication true Remove extra map-reduce jobs if the data is already clustered by the same key which needs to be used again. This should always be set to true. Since it is a new feature, it has been made configurable. hive.optimize.correlation false exploit intra-query correlations. hive.optimize.reducededuplication.min.reducer 4 Reduce deduplication merges two RSs by moving key/parts/reducer-num of the child RS to parent RS. That means if reducer-num of the child RS is fixed (order by or forced bucketing) and small, it can make very slow, single MR. The optimization will be disabled if number of reducers is less than specified value. hive.exec.dynamic.partition true Whether or not to allow dynamic partitions in DML/DDL. hive.exec.dynamic.partition.mode nonstrict In strict mode, the user must specify at least one static partition in case the user accidentally overwrites all partitions. hive.exec.max.dynamic.partitions 1000 Maximum number of dynamic partitions allowed to be created in total. hive.exec.max.dynamic.partitions.pernode 100 Maximum number of dynamic partitions allowed to be created in each mapper/reducer node. hive.exec.max.created.files 100000 Maximum number of HDFS files created by all mappers/reducers in a MapReduce job. hive.exec.default.partition.name __HIVE_DEFAULT_PARTITION__ The default partition name in case the dynamic partition column value is null/empty string or any other values that cannot be escaped. This value must not contain any special character used in HDFS URI (e.g., ':', '%', '/' etc). The user has to be aware that the dynamic partition value should not contain this value to avoid confusions. hive.stats.dbclass fs The storage that stores temporary Hive statistics. Supported values are fs (filesystem), jdbc(:.*), hbase, counter, and custom. In FS based statistics collection, each task writes statistics it has collected in a file on the filesystem, which will be aggregated after the job has finished. hive.stats.autogather true A flag to gather statistics automatically during the INSERT OVERWRITE command. hive.stats.jdbcdriver org.apache.derby.jdbc.EmbeddedDriver The JDBC driver for the database that stores temporary Hive statistics. hive.stats.dbconnectionstring jdbc:derby:;databaseName=TempStatsStore;create=true The default connection string for the database that stores temporary Hive statistics. hive.stats.default.publisher The Java class (implementing the StatsPublisher interface) that is used by default if hive.stats.dbclass is custom type. hive.stats.default.aggregator The Java class (implementing the StatsAggregator interface) that is used by default if hive.stats.dbclass is custom type. hive.stats.jdbc.timeout 30 Timeout value (number of seconds) used by JDBC connection and statements. hive.stats.retries.max 0 Maximum number of retries when stats publisher/aggregator got an exception updating intermediate database. Default is no tries on failures. hive.stats.retries.wait 3000 The base waiting window (in milliseconds) before the next retry. The actual wait time is calculated by baseWindow * failures baseWindow * (failure 1) * (random number between [0.0,1.0]). hive.stats.reliable false Whether queries will fail because stats cannot be collected completely accurately. If this is set to true, reading/writing from/into a partition may fail because the stats could not be computed accurately. hive.stats.collect.tablekeys false Whether join and group by keys on tables are derived and maintained in the QueryPlan. This is useful to identify how tables are accessed and to determine if they should be bucketed. hive.stats.collect.scancols false Whether column accesses are tracked in the QueryPlan. This is useful to identify how tables are accessed and to determine if there are wasted columns that can be trimmed. hive.stats.ndv.error 20.0 Standard error expressed in percentage. Provides a tradeoff between accuracy and compute cost.A lower value for error indicates higher accuracy and a higher compute cost. hive.stats.key.prefix.max.length 200 Determines if when the prefix of the key used for intermediate stats collection exceeds a certain length, a hash of the key is used instead. If the value < 0 then hashing is never used, if the value >= 0 then hashing is used only when the key prefixes length exceeds that value. The key prefix is defined as everything preceding the task ID in the key. For counter type stats, it's maxed by mapreduce.job.counters.group.name.max, which is by default 128. hive.stats.key.prefix.reserve.length 24 Reserved length for postfix of stats key. Currently only meaningful for counter type which should keep length of full stats key smaller than max length configured by hive.stats.key.prefix.max.length. For counter type, it should be bigger than the length of LB spec if exists. hive.stats.max.variable.length 100 To estimate the size of data flowing through operators in Hive/Tez(for reducer estimation etc.), average row size is multiplied with the total number of rows coming out of each operator. Average row size is computed from average column size of all columns in the row. In the absence of column statistics, for variable length columns (like string, bytes etc.), this value will be used. For fixed length columns their corresponding Java equivalent sizes are used (float - 4 bytes, double - 8 bytes etc.). hive.stats.list.num.entries 10 To estimate the size of data flowing through operators in Hive/Tez(for reducer estimation etc.), average row size is multiplied with the total number of rows coming out of each operator. Average row size is computed from average column size of all columns in the row. In the absence of column statistics and for variable length complex columns like list, the average number of entries/values can be specified using this config. hive.stats.map.num.entries 10 To estimate the size of data flowing through operators in Hive/Tez(for reducer estimation etc.), average row size is multiplied with the total number of rows coming out of each operator. Average row size is computed from average column size of all columns in the row. In the absence of column statistics and for variable length complex columns like map, the average number of entries/values can be specified using this config. hive.stats.map.parallelism 1 Hive/Tez optimizer estimates the data size flowing through each of the operators. For GROUPBY operator, to accurately compute the data size map-side parallelism needs to be known. By default, this value is set to 1 since optimizer is not aware of the number of mappers during compile-time. This Hive config can be used to specify the number of mappers to be used for data size computation of GROUPBY operator. hive.stats.fetch.column.stats false Annotation of operator tree with statistics information requires column statisitcs. Column statistics are fetched from metastore. Fetching column statistics for each needed column can be expensive when the number of columns is high. This flag can be used to disable fetching of column statistics from metastore. hive.stats.fetch.partition.stats true Annotation of operator tree with statistics information requires partition level basic statisitcs like number of rows, data size and file size. Partition statistics are fetched from metastore. Fetching partition statistics for each needed partition can be expensive when the number of partitions is high. This flag can be used to disable fetching of partition statistics from metastore. When this flag is disabled, Hive will make calls to filesystem to get file sizes and will estimate the number of rows from row schema. hive.stats.join.factor 1.1 Hive/Tez optimizer estimates the data size flowing through each of the operators. JOIN operator uses column statistics to estimate the number of rows flowing out of it and hence the data size. In the absence of column statistics, this factor determines the amount of rows that flows out of JOIN operator. hive.stats.deserialization.factor 1.0 Hive/Tez optimizer estimates the data size flowing through each of the operators. In the absence of basic statistics like number of rows and data size, file size is used to estimate the number of rows and data size. Since files in tables/partitions are serialized (and optionally compressed) the estimates of number of rows and data size cannot be reliably determined. This factor is multiplied with the file size to account for serialization and compression. hive.support.concurrency false Whether Hive supports concurrency or not. A ZooKeeper instance must be up and running for the default Hive lock manager to support read-write locks. hive.lock.numretries 100 The number of times you want to try to get all the locks hive.unlock.numretries 10 The number of times you want to retry to do one unlock hive.lock.sleep.between.retries 60 The sleep time (in seconds) between various retries hive.zookeeper.quorum zk-kafka01:2181,zk-kafka02:2181,zk-kafka03:2181 The list of ZooKeeper servers to talk to. This is only needed for read/write locks. hive.zookeeper.client.port 2181 The port of ZooKeeper servers to talk to. This is only needed for read/write locks. hive.zookeeper.session.timeout 600000 ZooKeeper client's session timeout. The client is disconnected, and as a result, all locks released, if a heartbeat is not sent in the timeout. hive.zookeeper.namespace hive_zookeeper_namespace The parent node under which all ZooKeeper nodes are created. hive.zookeeper.clean.extra.nodes false Clean extra nodes at the end of the session. fs.har.impl org.apache.hadoop.hive.shims.HiveHarFileSystem The implementation for accessing Hadoop Archives. Note that this won't be applicable to Hadoop versions less than 0.20 hive.archive.enabled false Whether archiving operations are permitted hive.fetch.output.serde org.apache.hadoop.hive.serde2.DelimitedJSONSerDe The SerDe used by FetchTask to serialize the fetch output. hive.exec.mode.local.auto false Let Hive determine whether to run in local mode automatically hive.exec.drop.ignorenonexistent true Do not report an error if DROP TABLE/VIEW specifies a non-existent table/view hive.exec.show.job.failure.debug.info true If a job fails, whether to provide a link in the CLI to the task with the most failures, along with debugging hints if applicable. hive.auto.progress.timeout 0 How long to run autoprogressor for the script/UDTF operators (in seconds). Set to 0 for forever. hive.hbase.wal.enabled true Whether writes to HBase should be forced to the write-ahead log. Disabling this improves HBase write performance at the risk of lost writes in case of a crash. hive.table.parameters.default Default property values for newly created tables hive.entity.separator @ Separator used to construct names of tables and partitions. For example, dbname@tablename@partitionname hive.ddl.createtablelike.properties.whitelist Table Properties to copy over when executing a Create Table Like. hive.variable.substitute true This enables substitution using syntax like ${var} ${system:var} and ${env:var}. hive.variable.substitute.depth 40 The maximum replacements the substitution engine will do. hive.conf.validation true Enables type checking for registered Hive configurations hive.security.authorization.enabled false enable or disable the Hive client authorization hive.security.authorization.manager org.apache.hadoop.hive.ql.security.authorization.plugin.sqlstd.SQLStdHiveAuthorizerFactory The Hive client authorization manager class name. The user defined authorization class should implement interface org.apache.hadoop.hive.ql.security.authorization.HiveAuthorizationProvider. hive.security.metastore.authorization.manager org.apache.hadoop.hive.ql.security.authorization.DefaultHiveMetastoreAuthorizationProvider authorization manager class name to be used in the metastore for authorization. The user defined authorization class should implement interface org.apache.hadoop.hive.ql.security.authorization.HiveMetastoreAuthorizationProvider. hive.security.authenticator.manager org.apache.hadoop.hive.ql.security.SessionStateUserAuthenticator hive client authenticator manager class name. The user defined authenticator should implement interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider. hive.security.metastore.authenticator.manager org.apache.hadoop.hive.ql.security.HadoopDefaultMetastoreAuthenticator authenticator manager class name to be used in the metastore for authentication. The user defined authenticator should implement interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider. hive.security.authorization.createtable.user.grants the privileges automatically granted to some users whenever a table gets created. An example like "userX,userY:select;userZ:create" will grant select privilege to userX and userY, and grant create privilege to userZ whenever a new table created. hive.security.authorization.createtable.group.grants the privileges automatically granted to some groups whenever a table gets created. An example like "groupX,groupY:select;groupZ:create" will grant select privilege to groupX and groupY, and grant create privilege to groupZ whenever a new table created. hive.security.authorization.createtable.role.grants the privileges automatically granted to some roles whenever a table gets created. An example like "roleX,roleY:select;roleZ:create" will grant select privilege to roleX and roleY, and grant create privilege to roleZ whenever a new table created. hive.security.authorization.createtable.owner.grants the privileges automatically granted to the owner whenever a table gets created. An example like "select,drop" will grant select and drop privilege to the owner of the table hive.users.in.admin.role hadoop Comma separated list of users who are in admin role for bootstrapping. More users can be added in ADMIN role later. hive.security.command.whitelist set,reset,dfs,add,delete Comma separated list of non-SQL Hive commands users are authorized to execute hive.conf.restricted.list hive.security.authenticator.manager,hive.security.authorization.manager,hive.users.in.admin.role Comma separated list of configuration options which are immutable at runtime hive.metastore.authorization.storage.checks false Should the metastore do authorization checks against the underlying storage for operations like drop-partition (disallow the drop-partition if the user in question doesn't have permissions to delete the corresponding directory on the storage). hive.error.on.empty.partition false Whether to throw an exception if dynamic partition insert generates empty results. hive.index.compact.file.ignore.hdfs false When true the HDFS location stored in the index file will be ignored at runtime. If the data got moved or the name of the cluster got changed, the index data should still be usable. hive.optimize.index.filter.compact.minsize 5368709120 Minimum size (in bytes) of the inputs on which a compact index is automatically used. hive.optimize.index.filter.compact.maxsize -1 Maximum size (in bytes) of the inputs on which a compact index is automatically used. A negative number is equivalent to infinity. hive.index.compact.query.max.size 10737418240 The maximum number of bytes that a query using the compact index can read. Negative value is equivalent to infinity. hive.index.compact.query.max.entries 10000000 The maximum number of index entries to read during a query that uses the compact index. Negative value is equivalent to infinity. hive.index.compact.binary.search true Whether or not to use a binary search to find the entries in an index table that match the filter, where possible hive.exim.uri.scheme.whitelist hdfs,pfile A comma separated list of acceptable URI schemes for import and export. hive.lock.mapred.only.operation false This param is to control whether or not only do lock on queries that need to execute at least one mapred job. hive.limit.row.max.size 100000 When trying a smaller subset of data for simple LIMIT, how much size we need to guarantee each row to have at least. hive.limit.optimize.limit.file 10 When trying a smaller subset of data for simple LIMIT, maximum number of files we can sample. hive.limit.optimize.enable false Whether to enable to optimization to trying a smaller subset of data for simple LIMIT first. hive.limit.optimize.fetch.max 50000 Maximum number of rows allowed for a smaller subset of data for simple LIMIT, if it is a fetch query. Insert queries are not restricted by this limit. hive.limit.pushdown.memory.usage 0.3f The max memory to be used for hash in RS operator for top K selection. hive.rework.mapredwork false should rework the mapred work or not. This is first introduced by SymlinkTextInputFormat to replace symlink files with real paths at compile time. hive.exec.concatenate.check.index true If this is set to true, Hive will throw error when doing 'alter table tbl_name [partSpec] concatenate' on a table/partition that has indexes on it. The reason the user want to set this to true is because it can help user to avoid handling all index drop, recreation, rebuild work. This is very helpful for tables with thousands of partitions. hive.sample.seednumber 0 A number used to percentage sampling. By changing this number, user will change the subsets of data sampled. hive.io.exception.handlers A list of io exception handler class names. This is used to construct a list exception handlers to handle exceptions thrown by record readers hive.autogen.columnalias.prefix.label _c String used as a prefix when auto generating column alias. By default the prefix label will be appended with a column position number to form the column alias. Auto generation would happen if an aggregate function is used in a select clause without an explicit alias. hive.autogen.columnalias.prefix.includefuncname false Whether to include function name in the column alias auto generated by Hive. hive.exec.perf.logger org.apache.hadoop.hive.ql.log.PerfLogger The class responsible logging client side performance metrics. Must be a subclass of org.apache.hadoop.hive.ql.log.PerfLogger hive.start.cleanup.scratchdir false To cleanup the Hive scratchdir while starting the Hive Server hive.output.file.extension String used as a file extension for output files. If not set, defaults to the codec extension for text files (e.g. ".gz"), or no extension otherwise. hive.insert.into.multilevel.dirs false Where to insert into multilevel directories like "insert directory '/HIVEFT25686/chinna/' from table" hive.warehouse.subdir.inherit.perms false Set this to true if the the table directories should inherit the permission of the warehouse or database directory instead of being created with the permissions derived from dfs umask hive.exec.job.debug.capture.stacktraces true Whether or not stack traces parsed from the task logs of a sampled failed task for each failed job should be stored in the SessionState hive.exec.driver.run.hooks A comma separated list of hooks which implement HiveDriverRunHook and will be run at the beginning and end of Driver.run, these will be run in the order specified. hive.ddl.output.format text The data format to use for DDL output. One of "text" (for human readable text) or "json" (for a json object). hive.display.partition.cols.separately true In older Hive version (0.10 and earlier) no distinction was made between partition columns or non-partition columns while displaying columns in describe table. From 0.12 onwards, they are displayed separately. This flag will let you get old behavior, if desired. See, test-case in patch for HIVE-6689. hive.transform.escape.input false This adds an option to escape special chars (newlines, carriage returns and tabs) when they are passed to the user script. This is useful if the Hive tables can contain data that contains special characters. hive.exec.rcfile.use.explicit.header true If this is set the header for RCFiles will simply be RCF. If this is not set the header will be that borrowed from sequence files, e.g. SEQ- followed by the input and output RCFile formats. hive.exec.orc.default.stripe.size 268435456 Define the default ORC stripe size. hive.exec.orc.default.row.index.stride 10000 Define the default ORC index stride in number of rows. hive.exec.orc.default.buffer.size 262144 Define the default ORC buffer size in bytes. hive.exec.orc.default.block.padding true Define the default block padding. hive.exec.orc.default.compress ZLIB Define the default compression codec for ORC file. hive.exec.orc.dictionary.key.size.threshold 0.8 If the number of keys in a dictionary is greater than this fraction of the total number of non-null rows, turn off dictionary encoding. Use 1 to always use dictionary encoding. hive.exec.orc.skip.corrupt.data false If ORC reader encounters corrupt data, this value will be used to determine whether to skip the corrupt data or throw exception. The default behavior is to throw exception. hive.multi.insert.move.tasks.share.dependencies false If this is set all move tasks for tables/partitions (not directories) at the end of a multi-insert query will only begin once the dependencies for all these move tasks have been met. Advantages: If concurrency is enabled, the locks will only be released once the query has finished, so with this config enabled, the time when the table/partition is generated will be much closer to when the lock on it is released. Disadvantages: If concurrency is not enabled, with this disabled, the tables/partitions which are produced by this query and finish earlier will be available for querying much earlier. Since the locks are only released once the query finishes, this does not apply if concurrency is enabled. hive.fetch.task.conversion minimal Some select queries can be converted to single FETCH task minimizing latency. Currently the query should be single sourced not having any subquery and should not have any aggregations or distincts (which incurs RS), lateral views and joins. 1. minimal : SELECT STAR, FILTER on partition columns, LIMIT only 2. more : SELECT, FILTER, LIMIT only (TABLESAMPLE, virtual columns) hive.fetch.task.conversion.threshold -1 Input threshold for applying hive.fetch.task.conversion. If target table is native, input length is calculated by summation of file lengths. If it's not native, storage handler for the table can optionally implement org.apache.hadoop.hive.ql.metadata.InputEstimator interface. hive.fetch.task.aggr false Aggregation queries with no group-by clause (for example, select count(*) from src) execute final aggregations in single reduce task. If this is set true, Hive delegates final aggregation stage to fetch task, possibly decreasing the query time. hive.cache.expr.evaluation true If true, evaluation result of deterministic expression referenced twice or more will be cached. For example, in filter condition like ".. where key + 10 > 10 or key + 10 = 0" "key + 10" will be evaluated/cached once and reused for following expression ("key + 10 = 0"). Currently, this is applied only to expressions in select or filter operator. hive.hmshandler.retry.attempts 1 The number of times to retry a HMSHandler call if there were a connection error hive.hmshandler.retry.interval 1000 The number of milliseconds between HMSHandler retry attempts hive.server.read.socket.timeout 10 Timeout for the HiveServer to close the connection if no response from the client in N seconds, defaults to 10 seconds. hive.server.tcp.keepalive true Whether to enable TCP keepalive for the Hive Server. Keepalive will prevent accumulation of half-open connections. hive.decode.partition.name false Whether to show the unquoted partition names in query results. hive.log4j.file Hive log4j configuration file. If the property is not set, then logging will be initialized using hive-log4j.properties found on the classpath. If the property is set, the value must be a valid URI (java.net.URI, e.g. "file:///tmp/my-logging.properties"), which you can then extract a URL from and pass to PropertyConfigurator.configure(URL). hive.exec.log4j.file Hive log4j configuration file for execution mode(sub command). If the property is not set, then logging will be initialized using hive-exec-log4j.properties found on the classpath. If the property is set, the value must be a valid URI (java.net.URI, e.g. "file:///tmp/my-logging.properties"), which you can then extract a URL from and pass to PropertyConfigurator.configure(URL). hive.exec.infer.bucket.sort false If this is set, when writing partitions, the metadata will include the bucketing/sorting properties with which the data was written if any (this will not overwrite the metadata inherited from the table if the table is bucketed/sorted) hive.exec.infer.bucket.sort.num.buckets.power.two false If this is set, when setting the number of reducers for the map reduce task which writes the final output files, it will choose a number which is a power of two, unless the user specifies the number of reducers to use using mapred.reduce.tasks. The number of reducers may be set to a power of two, only to be followed by a merge task meaning preventing anything from being inferred. With hive.exec.infer.bucket.sort set to true: Advantages: If this is not set, the number of buckets for partitions will seem arbitrary, which means that the number of mappers used for optimized joins, for example, will be very low. With this set, since the number of buckets used for any partition is a power of two, the number of mappers used for optimized joins will be the least number of buckets used by any partition being joined. Disadvantages: This may mean a much larger or much smaller number of reducers being used in the final map reduce job, e.g. if a job was originally going to take 257 reducers, it will now take 512 reducers, similarly if the max number of reducers is 511, and a job was going to use this many, it will now use 256 reducers. hive.groupby.orderby.position.alias false Whether to enable using Column Position Alias in Group By or Order By hive.server2.thrift.min.worker.threads 5 Minimum number of Thrift worker threads hive.server2.thrift.max.worker.threads 500 Maximum number of Thrift worker threads hive.server2.async.exec.threads 100 Number of threads in the async thread pool for HiveServer2 hive.server2.async.exec.shutdown.timeout 10 Time (in seconds) for which HiveServer2 shutdown will wait for async threads to terminate hive.server2.async.exec.keepalive.time 10 Time (in seconds) that an idle HiveServer2 async thread (from the thread pool) will wait for a new task to arrive before terminating hive.server2.long.polling.timeout 5000L Time in milliseconds that HiveServer2 will wait, before responding to asynchronous calls that use long polling hive.server2.async.exec.wait.queue.size 100 Size of the wait queue for async thread pool in HiveServer2. After hitting this limit, the async thread pool will reject new requests. hive.server2.thrift.port 10000 Port number of HiveServer2 Thrift interface. Can be overridden by setting $HIVE_SERVER2_THRIFT_PORT hive.server2.thrift.bind.host datacenter05 Bind host on which to run the HiveServer2 Thrift interface. Can be overridden by setting $HIVE_SERVER2_THRIFT_BIND_HOST hive.server2.authentication NONE Client authentication types. NONE: no authentication check LDAP: LDAP/AD based authentication KERBEROS: Kerberos/GSSAPI authentication CUSTOM: Custom authentication provider (Use with property hive.server2.custom.authentication.class) PAM: Pluggable authentication module. hive.server2.custom.authentication.class Custom authentication class. Used when property 'hive.server2.authentication' is set to 'CUSTOM'. Provided class must be a proper implementation of the interface org.apache.hive.service.auth.PasswdAuthenticationProvider. HiveServer2 will call its Authenticate(user, passed) method to authenticate requests. The implementation may optionally extend Hadoop's org.apache.hadoop.conf.Configured class to grab Hive's Configuration object. hive.server2.authentication.kerberos.principal Kerberos server principal hive.server2.authentication.kerberos.keytab Kerberos keytab file for server principal hive.server2.authentication.spnego.principal SPNego service principal, optional, typical value would look like HTTP/_HOST@EXAMPLE.COM SPNego service principal would be used by hiveserver2 when kerberos security is enabled and HTTP transport mode is used. This needs to be set only if SPNEGO is to be used in authentication. hive.server2.authentication.spnego.keytab keytab file for SPNego principal, optional, typical value would look like /etc/security/keytabs/spnego.service.keytab, This keytab would be used by hiveserver2 when kerberos security is enabled and HTTP transport mode is used. This needs to be set only if SPNEGO is to be used in authentication. SPNego authentication would be honored only if valid hive.server2.authentication.spnego.principal and hive.server2.authentication.spnego.keytab are specified. hive.server2.authentication.ldap.url LDAP connection URL. hive.server2.authentication.ldap.baseDN LDAP base DN (distinguished name). hive.server2.authentication.ldap.Domain LDAP domain. hive.server2.enable.doAs true Setting this property to true will have HiveServer2 execute Hive operations as the user making the calls to it. hive.execution.engine mr Chooses execution engine. Options are mr (MapReduce, default) or Tez (Hadoop 2 only). hive.prewarm.enabled false Enables container prewarm for Tez (Hadoop 2 only). hive.prewarm.numcontainers 10 Controls the number of containers to prewarm for Tez (Hadoop 2 only). hive.server2.table.type.mapping CLASSIC This setting reflects how HiveServer2 will report the table types for JDBC and other client implementations that retrieve the available tables and supported table types HIVE : Exposes Hive's native table types like MANAGED_TABLE, EXTERNAL_TABLE, VIRTUAL_VIEW CLASSIC : More generic types like TABLE and VIEW hive.server2.session.hook Session-level hook for HiveServer2. hive.server2.thrift.sasl.qop auth Sasl QOP value; set it to one of the following values to enable higher levels of protection for HiveServer2 communication with clients. "auth" - authentication only (default) "auth-int" - authentication plus integrity protection "auth-conf" - authentication plus integrity and confidentiality protection Note that hadoop.rpc.protection being set to a higher level than HiveServer2 does not make sense in most situations. HiveServer2 ignores hadoop.rpc.protection in favor of hive.server2.thrift.sasl.qop. This is applicable only if HiveServer2 is configured to use Kerberos authentication. hive.plan.serialization.format kryo Query plan format serialization between client and task nodes. Two supported values are : kryo and javaXML. Kryo is default. hive.vectorized.execution.enabled false This flag should be set to true to enable vectorized mode of query execution. The default value is false. hive.vectorized.groupby.maxentries 1000000 Max number of entries in the vector group by aggregation hashtables. Exceeding this will trigger a flush irrelevant of memory pressure condition. hive.vectorized.groupby.checkinterval 100000 Number of entries added to the group by aggregation hash before a reocmputation of average entry size is performed. hive.vectorized.groupby.flush.percent 0.1 Percent of entries in the group by aggregation hash flushed when the memory treshold is exceeded. hive.compute.query.using.stats false When set to true Hive will answer a few queries like count(1) purely using stats stored in metastore. For basic stats collection turn on the config hive.stats.autogather to true. For more advanced stats collection need to run analyze table queries. hive.metastore.schema.verification false Enforce metastore schema version consistency. True: Verify that version information stored in metastore matches with one from Hive jars. Also disable automatic schema migration attempt. Users are required to manually migrate schema after Hive upgrade which ensures proper metastore schema migration. (Default) False: Warn if the version information stored in metastore doesn't match with one from in Hive jars. hive.metastore.integral.jdo.pushdown false Allow JDO query pushdown for integral partition columns in the metastore. Off by default. This improves metastore performance for integral columns, especially with a large number of partitions. However, it doesn't work correctly for integral values that are not normalized (for example, if they have leading zeroes like 0012). If metastore direct SQL is enabled and works (hive.metastore.try.direct.sql), this optimization is also irrelevant. hive.orc.splits.include.file.footer false If turned on splits generated by orc will include metadata about the stripes in the file. This data is read remotely (from the client or HS2 machine) and sent to all the tasks. hive.orc.cache.stripe.details.size 10000 Cache size for keeping meta info about orc splits cached in the client. hive.orc.compute.splits.num.threads 10 How many threads orc should use to create splits in parallel. hive.stats.gather.num.threads 10 Number of threads used by partialscan/noscan analyze command for partitioned tables. This is applicable only for file formats that implement StatsProvidingRecordReader (like ORC). hive.exec.orc.zerocopy. false Use zerocopy reads with ORC. hive.jar.directory This is the location Hive in Tez mode will look for to find a site wide installed Hive instance. If not set, the directory under hive.user.install.directory corresponding to current user name will be used. hive.user.install.directory hdfs:///user/ If Hive (in Tez mode only) cannot find a usable Hive jar in "hive.jar.directory", it will upload the Hive jar to <hive.user.install.directory>/<user name> and use it to run queries. hive.tez.container.size -1 By default Tez will spawn containers of the size of a mapper. This can be used to overwrite. hive.tez.java.opts By default Tez will use the Java options from map tasks. This can be used to overwrite. hive.tez.log.level INFO The log level to use for tasks executing as part of the DAG. Used only if hive.tez.java.opts is used to configure Java options. hive.server2.tez.default.queues A list of comma separated values corresponding to YARN queues of the same name. When HiveServer2 is launched in Tez mode, this configuration needs to be set for multiple Tez sessions to run in parallel on the cluster. hive.server2.tez.sessions.per.default.queue 1 A positive integer that determines the number of Tez sessions that should be launched on each of the queues specified by "hive.server2.tez.default.queues". Determines the parallelism on each queue. hive.server2.tez.initialize.default.sessions false This flag is used in HiveServer2 to enable a user to use HiveServer2 without turning on Tez for HiveServer2. The user could potentially want to run queries over Tez without the pool of sessions. hive.server2.allow.user.substitution true Allow alternate user to be specified as part of HiveServer2 open connection request hive.resultset.use.unique.column.names true Make column names unique in the result set by qualifying column names with table alias if needed. Table alias will be added to column names for queries of type "select *" or if query explicitly uses table alias "select r1.x..". hive.compat 0.12 Enable (configurable) deprecated behaviors by setting desired level of backward compatbility hive.metastore.try.direct.sql true Whether Hive metastore should try to use direct SQL queries instead of DataNucleus for certain read paths. Can improve metastore performance when fetching many partitions or column stats by orders of magnitude; however, is not guaranteed to work on all RDBMS-es and all versions. In case of SQL failures, metastore will fall back to DataNucleus, so it's safe even if SQL doesn't work for all queries on your datastore. If all SQL queries fail (e.g. your metastore is backed by MongoDB), you might want to disable this to save the try-and-fall-back cost. hive.metastore.try.direct.sql.ddl true Same as hive.metastore.try.direct.sql, for read statements within a transaction that modifies metastore data. Due to non-standard behavior in Postgres, if direct SQL select query has incorrect syntax or something inside a transaction, entire transaction will fail and fall-back to DataNucleus will not be possible. You should disable the usage of direct SQL inside transactions if that happens in your case. hive.mapjoin.optimized.keys true Whether MapJoin hashtable should use optimized (size-wise), keys, allowing the table to take less memory. Depending on key, the memory savings for entire table can be 5-15% or so. hive.mapjoin.lazy.hashtable true Whether MapJoin hashtable should deserialize values on demand. Depending on how many values in the table the join will actually touch, it can save a lot of memory by not creating objects for rows that are not needed. If all rows are needed obviously there's no gain. hive.exec.check.crossproducts true Check if a plan contains a Cross Product. If there is one, output a warning to the Session's console. hive.localize.resource.wait.interval 5000 Time in milliseconds to wait for another thread to localize the same resource for hive-tez. hive.localize.resource.num.wait.attempts 5 The number of attempts waiting for localizing a resource in hive-tez. hive.server2.use.SSL false Set this to true for using SSL encryption in HiveServer2 hive.server2.keystore.path SSL certificate keystore location hive.server2.keystore.password SSL certificate keystore password. hive.server2.authentication.pam.services List of the underlying PAM services that should be used when authentication type is PAM (hive.server2.authentication). A file with the same name must exist in /etc/pam.d hive.convert.join.bucket.mapjoin.tez false Whether joins can be automatically converted to bucket map joins in hive when tez is used as the execution engine. hive.serdes.using.metastore.for.schema org.apache.hadoop.hive.ql.io.orc.OrcSerde,org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe,org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe,org.apache.hadoop.hive.serde2.dynamic_type.DynamicSerDe,org.apache.hadoop.hive.serde2.MetadataTypedColumnsetSerDe,org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe,org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe,org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe This an internal parameter. Check with the hive dev. team hive.limit.query.max.table.partition -1 This controls how many partitions can be scanned for each partitioned table. The default value "-1" means no limit. hive.txn.manager org.apache.hadoop.hive.ql.lockmgr.DummyTxnManager hive.txn.timeout 300 time after which transactions are declared aborted if the client has not sent a heartbeat, in seconds. hive.txn.max.open.batch 1000 Maximum number of transactions that can be fetched in one call to open_txns(). Increasing this will decrease the number of delta files created when streaming data into Hive. But it will also increase the number of open transactions at any given time, possibly impacting read performance. hive.compactor.initiator.on false Whether to run the compactor's initiator thread in this metastore instance or not. hive.compactor.worker.threads 0 Number of compactor worker threads to run on this metastore instance. hive.compactor.worker.timeout 86400 Time, in seconds, before a given compaction in working state is declared a failure and returned to the initiated state. hive.compactor.check.interval 300 Time in seconds between checks to see if any partitions need compacted. This should be kept high because each check for compaction requires many calls against the NameNode. hive.compactor.delta.num.threshold 10 Number of delta files that must exist in a directory before the compactor will attempt a minor compaction. hive.compactor.delta.pct.threshold 0.1 Percentage (by size) of base that deltas can be before major compaction is initiated. hive.compactor.abortedtxn.threshold 1000 Number of aborted transactions involving a particular table or partition before major compaction is initiated. hive.server2.support.dynamic.service.discovery false Whether HiveServer2 supports dynamic service discovery for its clients. To support this, each instance of HiveServer2 currently uses ZooKeeper to register itself, when it is brought up. JDBC/ODBC clients should use the ZooKeeper ensemble: hive.zookeeper.quorum in their connection string. hive.server2.zookeeper.namespace hiveserver2 The parent node in ZooKeeper used by HiveServer2 when supporting dynamic service discovery. hive.security.authorization.sqlstd.confwhitelist.append oozie.*|hive.server2.proxy.user|mapreduce.job.name|mapreduce.job.reduce.parallelism.num|mapreduce.am.max-attempts|mapreduce.job.running.map.limit|mapreduce.job.running.reduce.limit|mapreduce.job.*|mapred.input.dir.recursive|mapreduce.job.*|dfs.*|mapred.output.compression.type|hive.metastore.uris|hbase.zookeeper.quorum|zookeeper.znode.parent List of comma separated Java regexes, to be appended to list set in hive.security.authorization.sqlstd.confwhitelist. Using this list instead of updating the original list means that you can append to the defaults set by SQL standard authorization instead of replacing it entirely. hive.security.authorization.task.factory org.apache.hadoop.hive.ql.parse.authorization.HiveAuthorizationTaskFactoryImpl phoenix.schema.isNamespaceMappingEnabled true phoenix.schema.mapSystemTablesToNamespace true