Carbon currently prunes and caches all block/blocklet datamap index information into the driver for normal table, for Bloom/Index datamaps the JDBC driver will launch a job to prune and cache the datamaps in executors.
This causes the driver to become a bottleneck in the following ways:
Distributed Index Cache Server aims to solve the above mentioned problems.
When enabled, any query on a carbon table will be routed to the index server service in form of a request. The request will consist of the table name, segments, filter expression and other information used for pruning.
In IndexServer service a pruning RDD is fired which will take care of the pruning for that request. This RDD will be creating tasks based on the number of segments that are applicable for pruning. It can happen that the user has specified segments to access for that table, so only the specified segments would be applicable for pruning. Refer: query-data-with-specified-segments. IndexServer driver would have 2 important tasks, distributing the segments equally among the available executors and keeping track of the executor where the segment is cached.
To achieve this 2 separate mappings would be maintained as follows.
segment to executor location: This mapping will be maintained for each table and will enable the index server to track the cache location for each segment.
Cache size held by each executor: This mapping will be used to distribute the segments equally(on the basis of size) among the executors.
Once a request is received each segment would be iterated over and checked against tableToExecutorMapping to find if a executor is already assigned. If a mapping already exists then it means that most probably(if not evicted by LRU) the segment is already cached in that executor and the task for that segment has to be fired on this executor.
If mapping is not found then first check executorToCacheMapping against the available executor list to find if any unassigned executor is present and use that executor for the current segment. If all the executors are assigned with some segment then find the least loaded executor on the basis of size.
Initially the segment index size would be used to distribute the segments fairly among the executor because the actual cache size would be known to the driver only when the segments are cached and appropriate information is returned to the driver.
NOTE: In case of legacy segment(version: 1.1) the index size is not available therefore all the legacy segments would be processed in a round robin fashion.
After the job is completed the tasks would return the cache size held by each executor which would be updated to the executorToCacheMapping and the pruned blocklets which would be further used for result fetching.
Note: Multiple JDBC drivers can connect to the index server to use the cache.
In case executor(s) become dead/unavailable then the segments that were earlier being handled by those would be reassigned to some other executor using the distribution logic.
Note: Cache loading would be done again in the new executor for the current query.
The show metacache DDL has a new column called cache location will indicate whether the cache is from executor or driver. To drop cache the user has to enable/disable the index server using the dynamic configuration to clear the cache of the desired location.
Refer: MetaCacheDDL
In case of any failure the index server would fallback to embedded mode which means that the JDBCServer would take care of distributed pruning. A similar job would be fired by the JDBCServer which would take care of pruning using its own executors. If for any reason the embedded mode also fails to prune the datamaps then the job would be passed on to driver.
NOTE: In case of embedded mode a job would be fired after pruning to clear the cache as data cached in JDBCServer executors would be of no use.
If the response is too huge then it is better to write the splits to a file so that the driver can read this file and create the splits. This can be controlled using the property ‘carbon.index.server .inmemory.serialization.threshold.inKB’. By default, the minimum value for this property is 0, meaning that no matter how small the splits are they would be written to the file. Maximum is 102400KB which will mean if the size of the splits for a executor cross this value then they would be written to file.
The user can set the location for these file by using ‘carbon.indexserver.temp.path’. By default table path would be used to write the files.
| Name | Default Value | Description |
|---|---|---|
| carbon.enable.index.server | false | Enable the use of index server for pruning for the whole application. |
| carbon.index.server.ip | NA | Specify the IP/HOST on which the server is started. Better to specify the private IP. |
| carbon.index.server.port | NA | The port on which the index server is started. |
| carbon.disable.index.server.fallback | false | Whether to enable/disable fallback for index server. Should be used for testing purposes only. Refer: Fallback |
| carbon.index.server.max.jobname.length | NA | The max length of the job to show in the index server service UI. For bigger queries this may impact performance as the whole string would be sent from JDBCServer to IndexServer. |
| Name | Default Value | Description |
|---|---|---|
| carbon.index.server.ip | NA | Specify the IP/HOST on which the server would be started. Better to specify the private IP. |
| carbon.index.server.port | NA | The port on which the index server has to be started. |
| carbon.index.server.max.worker.threads | 500 | Number of RPC handlers to open for accepting the requests from JDBC driver. Max accepted value is Integer.Max. Refer: Hive configuration |
| carbon.max.executor.lru.cache.size | NA | Maximum memory (in MB) upto which the executor process can cache the data (DataMaps and reverse dictionary values). Only integer values greater than 0 are accepted. NOTE: Mandatory for the user to set. |
| carbon.index.server.max.jobname.length | NA | The max length of the job to show in the index server application UI. For bigger queries this may impact performance as the whole string would be sent from JDBCServer to IndexServer. |
| carbon.max.executor.threads.for.block.pruning | 4 | max executor threads used for block pruning. |
| carbon.index.server.inmemory.serialization.threshold.inKB | 300 | Max in memory serialization size after reaching threshold data will be written to file. Min value that the user can set is 0KB and max is 102400KB. |
| carbon.indexserver.temp.path | tablePath | The folder to write the split files if in memory datamap size for network transfers crossed the ‘carbon.index.server.inmemory.serialization.threshold.inKB’ limit. |
| Name | Default Value | Description |
|---|---|---|
| spark.dynamicAllocation.enabled | true | Set to false, so that spark does not kill the executor, If executors are killed, cache would be lost. Applicable only for Index Server. |
| spark.yarn.principal | NA | Should be set to the same user used for JDBCServer. Required only for IndexServer. |
| spark.yarn.keytab | NA | Should be set to the same as JDBCServer. |
| Name | Default Value | Description |
|---|---|---|
| spark.dynamicAllocation.enabled | true | Set to false, so that spark does not kill the executor, If executors are killed, cache would be lost. Applicable only for Index Server. |
NOTE: Its better to create a new user for indexserver principal, that will authenticate the user to access the index server and no other service.
| Name | Default Value | Description |
|---|---|---|
| ipc.client.rpc-timeout.ms | NA | Set the above property to some appropriate value based on your estimated query time. The best option is to set this to the same value as spark.network.timeout. |
| hadoop.security.authorization | false | Property to enable the hadoop security which is required only on the server side. |
| hadoop.proxyuser.<indexserver_user>.users | NA | Property to set Proxy User list for which IndexServer permission were to be given ,check https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/Superusers.html |
| hadoop.proxyuser.<indexserver_user>.hosts | NA | Property to set hosts list for which IndexServer permission were to be given ,check https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/Superusers.html |
| hadoop.proxyuser.<indexserver_user>.groups | NA | Property to set groups list for which IndexServer permission to be given ,check https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/Superusers.html |
| security.indexserver.protocol.acl | * | Property to set List of User to be Authorized for Other than proxy Spark Application |
| Name | Default Value | Description |
|---|---|---|
| carbon.enable.index.server | false | Enable the use of index server for pruning for the current session. |
| carbon.enable.index.server.dbName.tableName | false | Enable the use of index server for the specified table in the current session. |
./bin/spark-submit --master [yarn/local] --[optional parameters] --class org.apache.carbondata.indexserver.IndexServer [path to carbondata-spark2-<version>.jar]
Or
./sbin/start-indexserver.sh --master yarn --num-executors 2 /<absolute path>/carbondata-spark2-1.6.0.0100.jar
Q. Index Server is throwing Large response size exception.
A. The exception would show the size of response it is trying to send over the network. Use ipc.maximum.response.length to a value bigger than the response size.
Q. Unable to connect to index server
A. Check whether the carbon.properties configurations are set in JDBCServer as well as the index server.
Q. IndexServer is throwing FileNotFoundException for index files.
A. Check whether the Index server and JDBCServer are connected to the same namenode or not. And the store should be shared by both
Q. OutOfMemoryException in DirectMemoryBuffer
A. Increase -XX:MaxDirectMemorySize in driver.extraJavaOptions to accommodate the large response in driver.