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System variables

CelerData provides many system variables that can be set and modified to suit your requirements. This section describes the variables supported by CelerData. You can view the settings of these variables by running the SHOW VARIABLES command on your MySQL client. You can also use the SET command to dynamically set or modify variables. You can make these variables take effect globally on the entire system, only in the current session, or only in a single query statement.

The variables in CelerData refer to the variable sets in MySQL, but some variables are only compatible with the MySQL client protocol and do not function on the MySQL database.

NOTE

Any user has the privilege to run SHOW VARIABLES and make a variable take effect at session level. However, only users with the SYSTEM-level OPERATE privilege can make a variable take effect globally. Globally effective variables take effect on all the future sessions (excluding the current session).

If you want to make a setting change for the current session and also make that setting change apply to all future sessions, you can make the change twice, once without the GLOBAL modifier and once with it. For example:

SET query_mem_limit = 137438953472; -- Apply to the current session.
SET GLOBAL query_mem_limit = 137438953472; -- Apply to all future sessions.

View variables​

You can view all or some variables by using SHOW VARIABLES [LIKE 'xxx']. Example:

-- Show all variables in the system.
SHOW VARIABLES;

-- Show variables that match a certain pattern.
SHOW VARIABLES LIKE '%time_zone%';

Set variables​

Set variables globally or for a single session​

You can set variables to take effect globally or only on the current session. When set to global, the new value will be used for all the future sessions, while the current session still uses the original value. When set to "current session only", the variable will only take effect on the current session.

A variable set by SET <var_name> = xxx; only takes effect for the current session. Example:

SET query_mem_limit = 137438953472;

SET forward_to_master = true;

SET time_zone = "Asia/Shanghai";

A variable set by SET GLOBAL <var_name> = xxx; takes effect globally. Example:

SET GLOBAL query_mem_limit = 137438953472;

The following variables only take effect globally. They cannot take effect for a single session, which means you must use SET GLOBAL <var_name> = xxx; for these variables. If you try to set such a variable for a single session (SET <var_name> = xxx;), an error is returned.

  • activate_all_roles_on_login
  • character_set_database
  • default_rowset_type
  • enable_query_queue_select
  • enable_query_queue_statistic
  • enable_query_queue_load
  • init_connect
  • lower_case_table_names
  • license
  • language
  • query_cache_size
  • query_queue_fresh_resource_usage_interval_ms
  • query_queue_concurrency_limit
  • query_queue_mem_used_pct_limit
  • query_queue_cpu_used_permille_limit
  • query_queue_pending_timeout_second
  • query_queue_max_queued_queries
  • system_time_zone
  • version_comment
  • version

In addition, variable settings also support constant expressions, such as:

SET query_mem_limit = 10 * 1024 * 1024 * 1024;
SET forward_to_master = concat('tr', 'u', 'e');

Set variables in a single query statement​

In some scenarios, you may need to set variables specifically for certain queries. By using the SET_VAR hint, you can set session variables that will take effect only within a single statement. Example:

SELECT /*+ SET_VAR(query_mem_limit = 8589934592) */ name FROM people ORDER BY name;

SELECT /*+ SET_VAR(query_timeout = 1) */ sleep(3);

NOTE

SET_VAR can only be placed after the SELECT keyword and enclosed in /*+...*/.

You can also set multiple variables in a single statement. Example:

SELECT /*+ SET_VAR
  (
  exec_mem_limit = 515396075520,
  query_timeout=10000000,
  batch_size=4096,
  parallel_fragment_exec_instance_num=32
  )
  */ * FROM TABLE;

Descriptions of variables​

The variables are described in alphabetical order. Variables with the global label can only take effect globally. Other variables can take effect either globally or for a single session.

activate_all_roles_on_login (global)​

Whether to enable all roles (including default roles and granted roles) for a CelerData user when the user connects to the CelerData cluster.

  • If enabled (true), all roles of the user are activated at user login. This takes precedence over the roles set by SET DEFAULT ROLE.
  • If disabled (false), the roles set by SET DEFAULT ROLE are activated.

Default value: false.

If you want to activate the roles assigned to you in a session, use the SET ROLE command.

auto_increment_increment​

Used for MySQL client compatibility. No practical usage.

autocommit​

Used for MySQL client compatibility. No practical usage.

batch_size​

Used to specify the number of rows of a single packet transmitted by each node during query execution. The default is 1024, i.e., every 1024 rows of data generated by the source node is packaged and sent to the destination node. A larger number of rows will improve the query throughput in large data volume scenarios, but may increase the query latency in small data volume scenarios. Also, it may increase the memory overhead of the query. We recommend to set batch_size between 1024 to 4096.

catalog​

Used to specify the catalog to which the session belongs.

cbo_enable_low_cardinality_optimize​

Whether to enable low cardinality optimization. After this feature is enabled, the performance of querying STRING columns improves by about three times. Default value: true.

character_set_database (global）​

The character set supported by CelerData. Only UTF8 (utf8) is supported.

connector_io_tasks_per_scan_operator​

The maximum number of concurrent I/O tasks that can be issued by a scan operator during external table queries. The value is an integer. Default value: 16.

Currently, CelerData can adaptively adjust the number of concurrent I/O tasks when querying external tables. This feature is controlled by the variable enable_connector_adaptive_io_tasks, which is enabled by default.

count_distinct_column_buckets​

The number of buckets for the COUNT DISTINCT column in a group-by-count-distinct query. This variable takes effect only when enable_distinct_column_bucketization is set to true. Default value: 1024.

default_rowset_type (global)​

Global variable. Used to set the default storage format used by the storage engine of the computing node. The currently supported storage formats are alpha and beta.

default_table_compression​

The default compression algorithm for table storage. Supported compression algorithms are snappy, lz4, zlib, zstd. Default value: lz4_frame.

Note that if you specified the compression property in a CREATE TABLE statement, the compression algorithm specified by compression takes effect.

disable_colocate_join​

Used to control whether the Colocation Join is enabled. The default value is false, meaning the feature is enabled. When this feature is disabled, query planning will not attempt to execute Colocation Join.

disable_streaming_preaggregations​

Used to enable the streaming pre-aggregations. The default value is false, meaning it is enabled.

div_precision_increment​

Used for MySQL client compatibility. No practical usage.

enable_connector_adaptive_io_tasks​

Whether to adaptively adjust the number of concurrent I/O tasks when querying external tables. Default value: true.

If this feature is not enabled, you can manually set the number of concurrent I/O tasks using the variable connector_io_tasks_per_scan_operator.

enable_distinct_column_bucketization​

Whether to enable bucketization for the COUNT DISTINCT colum in a group-by-count-distinct query. Use the select a, count(distinct b) from t group by a; query as an example. If the GROUP BY colum a is a low-cardinality column and the COUNT DISTINCT column b is a high-cardinality column which has severe data skew, performance bottleneck will occur. In this situation, you can split data in the COUNT DISTINCT column into multiple buckets to balance data and prevent data skew.

Default value: false, which means this feature is disabled. You must use this variable with the variable count_distinct_column_buckets.

You can also enable bucketization for the COUNT DISTINCT column by adding the skew hint to your query, for example, select a,count(distinct [skew] b) from t group by a;.

enable_iceberg_metadata_cache​

Whether to cache pointers and partition names for Iceberg tables. From v3.2.1 to v3.2.3, this parameter is set to true by default, regardless of what metastore service is used. In v3.2.4 and later, if the Iceberg cluster uses AWS Glue as metastore, this parameter still defaults to true. However, if the Iceberg cluster uses other metastore service such as Hive metastore, this parameter defaults to false.

enable_insert_strict​

Used to enable the strict mode when loading data using the INSERT statement. The default value is true, indicating the strict mode is enabled by default. For more information, see Strict mode.

enable_materialized_view_union_rewrite​

Boolean value to control whether to enable materialized view Union query rewrite. Default: true.

enable_rule_based_materialized_view_rewrite​

Boolean value to control whether to enable rule-based materialized view query rewrite. This variable is mainly used in single-table query rewrite. Default: true.

enable_spill​

Whether to enable intermediate result spilling. Default: false. If it is set to true, CelerData spills the intermediate results to disk to reduce the memory usage when processing aggregate, sort, or join operators in queries.

enable_profile​

Specifies whether to send the profile of a query for analysis. The default value is false, which means no profile is required.

By default, a profile is sent to the FE only when a query error occurs in the BE. Profile sending causes network overhead and therefore affects high concurrency.

If you need to analyze the profile of a query, you can set this variable to true. After the query is completed, the profile can be viewed on the web page of the currently connected FE (address: fe_host:fe_http_port/query). This page displays the profiles of the latest 100 queries with enable_profile turned on.

enable_query_queue_load (global)​

Boolean value to enable query queues for loading tasks. Default: false.

enable_query_queue_select (global)​

Boolean value to enable query queues for SELECT queries. Default: false.

enable_query_queue_statistic (global)​

Boolean value to enable query queues for statistics queries.

enable_query_tablet_affinity​

Boolean value to control whether to direct multiple queries against the same tablet to a fixed replica.

In scenarios where the table to query has a large number of tablets, this feature significantly improves query performance because the meta information and data of the tablet can be cached in memory more quickly.

However, if there are some hotspot tablets, this feature may degrade the query performance because it directs the queries to the same BE, making it unable to fully use the resources of multiple BEs in high-concurrency scenarios.

Default value: false, which means the system selects a replica for each query.

enable_scan_block_cache​

Specifies whether to enable the Data Cache feature. After this feature is enabled, CelerData caches hot data read from external storage systems into blocks, which accelerates queries and analysis.

enable_populate_block_cache​

Specifies whether to cache data blocks read from external storage systems in CelerData. If you do not want to cache data blocks read from external storage systems, set this variable to false. Default value: true.

enable_tablet_internal_parallel​

Whether to enable adaptive parallel scanning of tablets. After this feature is enabled, multiple threads can be used to scan one tablet by segment, increasing the scan concurrency. Default value: true.

enable_adaptive_sink_dop​

Specifies whether to enable adaptive parallelism for data loading. After this feature is enabled, the system automatically sets load parallelism for INSERT INTO and Broker Load jobs, which is equivalent to the mechanism of pipeline_dop. Default value: true.

enable_pipeline_engine​

Specifies whether to enable the pipeline execution engine. true indicates enabled and false indicates the opposite. Default value: true.

enable_sort_aggregate​

Specifies whether to enable sorted streaming. true indicates sorted streaming is enabled to sort data in data streams.

enable_global_runtime_filter​

Whether to enable global runtime filter (RF for short). RF filters data at runtime. Data filtering often occurs in the Join stage. During multi-table joins, optimizations such as predicate pushdown are used to filter data, in order to reduce the number of scanned rows for Join and the I/O in the Shuffle stage, thereby speeding up the query.

CelerData offers two types of RF: Local RF and Global RF. Local RF is suitable for Broadcast Hash Join and Global RF is suitable for Shuffle Join.

Default value: true, which means global RF is enabled. If this feature is disabled, global RF does not take effect. Local RF can still work.

enable_multicolumn_global_runtime_filter​

Whether to enable multi-column global runtime filter. Default value: false, which means multi-column global RF is disabled.

If a Join (other than Broadcast Join and Replicated Join) has multiple equi-join conditions:

  • If this feature is disabled, only Local RF works.
  • If this feature is enabled, multi-column Global RF takes effect and carries multi-column in the partition by clause.

event_scheduler​

Used for MySQL client compatibility. No practical usage.

enable_strict_type​

Whether to allow implicit conversions for all compound predicates and for all expressions in the WHERE clause. Default value: false.

force_streaming_aggregate​

Used to control whether the aggregation node enables streaming aggregation for computing. The default value is false, meaning the feature is not enabled.

forward_to_master​

Used to specify whether some commands will be forwarded to the leader FE for execution. The default value is false, meaning not forwarding to the leader FE. There are multiple FEs in a CelerData cluster, one of which is the leader FE. Normally, users can connect to any FE for full-featured operations. However, some information is only available on the leader FE.

For example, if the SHOW BACKENDS command is not forwarded to the leader FE, only basic information (for example, whether the node is alive) can be viewed. Forwarding to the leader FE can get more detailed information including the node start time and last heartbeat time.

The commands affected by this variable are as follows:

  • SHOW FRONTENDS: Forwarding to the leader FE allows users to view the last heartbeat message.

  • SHOW BACKENDS: Forwarding to the leader FE allows users to view the boot time, last heartbeat information, and disk capacity information.

  • SHOW BROKER: Forwarding to the leader FE allows users to view the boot time and last heartbeat information.

  • SHOW TABLET

  • ADMIN SHOW REPLICA DISTRIBUTION

  • ADMIN SHOW REPLICA STATUS: Forwarding to the leader FE allows users to view the tablet information stored in the metadata of the leader FE. Normally, the tablet information should be the same in the metadata of different FEs. If an error occurs, you can use this method to compare the metadata of the current FE and the leader FE.

  • Show PROC: Forwarding to the leader FE allows users to view the PROC information stored in the metadata. This is mainly used for metadata comparison.

group_concat_max_len​

The maximum length of string returned by the group_concat function. Default value: 1024. Min value: 4. Unit: characters.

hash_join_push_down_right_table​

Used to control whether the data of the left table can be filtered by using the filter condition against the right table in the Join query. If so, it can reduce the amount of data that needs to be processed during the query.

true indicates the operation is allowed and the system decides whether the left table can be filtered. false indicates the operation is disabled. The default value is true.

init_connect (global)​

Used for MySQL client compatibility. No practical usage.

interactive_timeout​

Used for MySQL client compatibility. No practical usage.

io_tasks_per_scan_operator​

The number of concurrent I/O tasks that can be issued by a scan operator. Increase this value if you want to access remote storage systems such as HDFS or S3 but the latency is high. However, a larger value causes more memory consumption.

The value is an integer. Default value: 4.

language (global)​

Used for MySQL client compatibility. No practical usage.

license (global)​

Displays the license of CelerData.

load_mem_limit​

Specifies the memory limit for the import operation. The default value is 0, meaning that this variable is not used and query_mem_limit is used instead.

This variable is only used for the INSERT operation which involves both query and import. If the user does not set this variable, the memory limit for both query and import will be set as exec_mem_limit. Otherwise, the memory limit for query will be set as exec_mem_limit and the memory limit for import will be as load_mem_limit.

Other import methods such as BROKER LOAD, STREAM LOAD still use exec_mem_limit for memory limit.

log_rejected_record_num​

Specifies the maximum number of unqualified data rows that can be logged. Valid values: 0, -1, and any non-zero positive integer. Default value: 0.

  • The value 0 specifies that data rows that are filtered out will not be logged.
  • The value -1 specifies that all data rows that are filtered out will be logged.
  • A non-zero positive integer such as n specifies that up to n data rows that are filtered out can be logged on each BE.

lower_case_table_names (global)​

Used for MySQL client compatibility. No practical usage. Table names in CelerData are case-sensitive.

materialized_view_rewrite_mode​

Specifies the query rewrite mode of asynchronous materialized views. Valid values:

  • disable: Disable automatic query rewrite of asynchronous materialized views.
  • default (Default value): Enable automatic query rewrite of asynchronous materialized views, and allow the optimizer to decide whether a query can be rewritten using the materialized view based on the cost. If the query cannot be rewritten, it directly scans the data in the base table.
  • default_or_error: Enable automatic query rewrite of asynchronous materialized views, and allow the optimizer to decide whether a query can be rewritten using the materialized view based on the cost. If the query cannot be rewritten, an error is returned.
  • force: Enable automatic query rewrite of asynchronous materialized views, and the optimizer prioritizes query rewrite using the materialized view. If the query cannot be rewritten, it directly scans the data in the base table.
  • force_or_error: Enable automatic query rewrite of asynchronous materialized views, and the optimizer prioritizes query rewrite using the materialized view. If the query cannot be rewritten, an error is returned.

max_allowed_packet​

Used for compatibility with the JDBC connection pool C3P0. This variable specifies the maximum size of packets that can be transmitted between the client and server. Default value: 32 MB. Unit: Byte. You can raise this value if the client reports "PacketTooBigException".

max_scan_key_num​

The maximum number of scan key segmented by each query. Default value: -1, indicating that the value in the be.conf file is used. If this variable is set to a value greater than 0, the value in be.conf is ignored.

max_pushdown_conditions_per_column​

The maximum number of predicates that can be pushed down for a column. Default value: -1, indicating that the value in the be.conf file is used. If this variable is set to a value greater than 0, the value in be.conf is ignored.

nested_mv_rewrite_max_level​

The maximum levels of nested materialized views that can be used for query rewrite. Type: INT. Range: [1, +∞). The value of 1 indicates that only materialized views created on base tables can be used for query rewrite. Default: 3.

net_buffer_length​

Used for MySQL client compatibility. No practical usage.

net_read_timeout​

Used for MySQL client compatibility. No practical usage.

net_write_timeout​

Used for MySQL client compatibility. No practical usage.

new_planner_optimize_timeout​

The timeout duration of the query optimizer. When the optimizer times out, an error is returned and the query is stopped, which affects the query performance. You can set this variable to a larger value based on your query or contact CelerData technical support for troubleshooting. A timeout often occurs when a query has too many joins.

Default value: 3000. Unit: ms.

parallel_exchange_instance_num​

Used to set the number of exchange nodes that an upper-level node uses to receive data from a lower-level node in the execution plan. The default value is -1, meaning the number of exchange nodes is equal to the number of execution instances of the lower-level node. When this variable is set to be greater than 0 but smaller than the number of execution instances of the lower-level node, the number of exchange nodes equals the set value.

In a distributed query execution plan, the upper-level node usually has one or more exchange nodes to receive data from the execution instances of the lower-level node on different BEs. Usually the number of exchange nodes is equal to the number of execution instances of the lower-level node.

In some aggregation query scenarios where the amount of data decreases drastically after aggregation, you can try to modify this variable to a smaller value to reduce the resource overhead. An example would be running aggregation queries using the Duplicate Key table.

parallel_fragment_exec_instance_num​

Used to set the number of instances used to scan nodes on each BE. The default value is 1.

A query plan typically produces a set of scan ranges. This data is distributed across multiple BE nodes. A BE node will have one or more scan ranges, and by default, each BE node's set of scan ranges is processed by only one execution instance. When machine resources suffice, you can increase this variable to allow more execution instances to process a scan range simultaneously for efficiency purposes.

The number of scan instances determines the number of other execution nodes in the upper level, such as aggregation nodes and join nodes. Therefore, it increases the concurrency of the entire query plan execution. Modifying this variable will help improve efficiency, but larger values will consume more machine resources, such as CPU, memory, and disk IO.

partial_update_mode​

Used to control the mode of partial updates. Valid values:

  • auto (default): The system automatically determines the mode of partial updates by analyzing the UPDATE statement and the columns involved.
  • column: The column mode is used for the partial updates, which is particularly suitable for the partial updates which involve a small number of columns and a large number of rows.

For more information, see UPDATE.

performance_schema​

Used for compatibility with MySQL JDBC versions 8.0.16 and above. No practical usage.

prefer_compute_node​

Specifies whether the FEs distribute query execution plans to CN nodes. Valid values:

  • true: indicates that the FEs distribute query execution plans to CN nodes.
  • false: indicates that the FEs do not distribute query execution plans to CN nodes.

pipeline_dop​

The parallelism of a pipeline instance, which is used to adjust the query concurrency. Default value: 0, indicating the system automatically adjusts the parallelism of each pipeline instance. You can also set this variable to a value greater than 0. Generally, set the value to half the number of physical CPU cores.

The system can also adaptively adjust this variable based on query parallelism.

pipeline_profile_level​

Controls the level of the query profile. A query profile often has five layers: Fragment, FragmentInstance, Pipeline, PipelineDriver, and Operator. Different levels provide different details of the profile:

  • 0: CelerData combines metrics of the profile and shows only a few core metrics.
  • 1: default value. CelerData simplifies the profile and combines metrics of the profile to reduce profile layers.
  • 2: CelerData retains all the layers of the profile. The profile size is large in this scenario, especially when the SQL query is complex. This value is not recommended.

query_cache_entry_max_bytes​

The threshold for triggering the Passthrough mode. Valid values: 0 to 9223372036854775807. When the number of bytes or rows from the computation results of a specific tablet accessed by a query exceeds the threshold specified by query_cache_entry_max_bytes or query_cache_entry_max_rows, the query is switched to Passthrough mode.

query_cache_entry_max_rows​

The upper limit of rows that can be cached. See the description in query_cache_entry_max_bytes. Default value: 409600.

query_cache_agg_cardinality_limit​

The upper limit of cardinality for GROUP BY in Query Cache. Query Cache is not enabled if the rows generated by GROUP BY exceeds this value. Default value: 5000000. If query_cache_entry_max_bytes or query_cache_entry_max_rows is set to 0, the Passthrough mode is used even when no computation results are generated from the involved tablets.

query_cache_size (global)​

Used for MySQL client compatibility. No practical use.

query_cache_type​

Used for compatibility with JDBC connection pool C3P0. No practical use.

query_mem_limit​

Used to set the memory limit of a query on each backend node. The default value is 0, which means no limit for it. Units including B/K/KB/M/MB/G/GB/T/TB/P/PB are supported.

When the Memory Exceed Limit error happens, you could try to increase this variable.

query_queue_concurrency_limit (global)​

The upper limit of concurrent queries on a BE. It takes effect only after being set greater than 0. Default: 0.

query_queue_cpu_used_permille_limit (global)​

The upper limit of CPU usage permille (CPU usage * 1000) on a BE. It takes effect only after being set greater than 0. Default: 0. Range: [0, 1000]

query_queue_max_queued_queries (global)​

The upper limit of queries in a queue. When this threshold is reached, incoming queries are rejected. It takes effect only after being set greater than 0. Default: 0.

query_queue_mem_used_pct_limit (global)​

The upper limit of memory usage percentage on a BE. It takes effect only after being set greater than 0. Default: 0. Range: [0, 1]

query_queue_pending_timeout_second (global)​

The maximum timeout of a pending query in a queue. When this threshold is reached, the corresponding query is rejected. Unit: second. Default: 300.

query_timeout​

Used to set the query timeout in "seconds". This variable will act on all query statements in the current connection, as well as INSERT statements. The default value is 300 seconds. Value range: [1, 259200].

range_pruner_max_predicate​

The maximum number of IN predicates that can be used for Range partition pruning. Default value: 100. A value larger than 100 may cause the system to scan all tablets, which compromises the query performance.

rewrite_count_distinct_to_bitmap_hll​

Used to decide whether to rewrite count distinct queries to bitmap_union_count and hll_union_agg.

runtime_filter_on_exchange_node​

Whether to place GRF on Exchange Node after GRF is pushed down across the Exchange operator to a lower-level operator. The default value is false, which means GRF will not be placed on Exchange Node after it is pushed down across the Exchange operator to a lower-level operator. This prevents repetitive use of GRF and reduces the computation time.

However, GRF delivery is a "try-best" process. If the lower-level operator fails to receive the GRF but the GRF is not placed on Exchange Node, data cannot be filtered, which compromises filter performance. true means GRF will still be placed on Exchange Node even after it is pushed down across the Exchange operator to a lower-level operator.

runtime_join_filter_push_down_limit​

The maximum number of rows allowed for the Hash table based on which Bloom filter Local RF is generated. Local RF will not be generated if this value is exceeded. This variable prevents the generation of an excessively long Local RF.

The value is an integer. Default value: 1024000.

runtime_profile_report_interval​

The time interval at which runtime profiles are reported.

Unit: second, Default: 10.

spill_mode​

The execution mode of intermediate result spilling. Valid values:

  • auto: Spilling is automatically triggered when the memory usage threshold is reached.
  • force: CelerData forcibly executes spilling for all relevant operators, regardless of memory usage.

This variable takes effect only when the variable enable_spill is set to true.

SQL_AUTO_IS_NULL​

Used for compatibility with the JDBC connection pool C3P0. No practical usage.

sql_dialect​

The SQL dialect that is used. For example, you can run the set sql_dialect = 'trino'; command to set the SQL dialect to Trino, so you can use Trino-specific SQL syntax and functions in your queries.

NOTICE

After you configure CelerData to use the Trino dialect, identifiers in queries are not case-sensitive by default. Therefore, you must specify names in lowercase for your databases and tables at database and table creation. If you specify database and table names in uppercase, queries against these databases and tables will fail.

sql_mode​

Used to specify the SQL mode to accommodate certain SQL dialects.

sql_safe_updates​

Used for MySQL client compatibility. No practical usage.

sql_select_limit​

Used for MySQL client compatibility. No practical usage.

storage_engine​

The types of engines supported by CelerData:

  • olap: CelerData system-owned engine.
  • mysql: MySQL external tables.
  • broker: Access external tables through a broker program.
  • elasticsearch or es: Elasticsearch external tables.
  • hive: Hive external tables.
  • iceberg: Iceberg external tables
  • hudi: Hudi external tables
  • jdbc: external table for JDBC-compatible databases

streaming_preaggregation_mode​

Used to specify the preaggregation mode for the first phase of GROUP BY. If the preaggregation effect in the first phase is not satisfactory, you can use the streaming mode, which performs simple data serialization before streaming data to the destination. Valid values:

  • auto: The system first tries local preaggregation. If the effect is not satisfactory, it switches to the streaming mode. This is the default value.
  • force_preaggregation: The system directly performs local preaggregation.
  • force_streaming: The system directly performs streaming.

system_time_zone​

Used to display the time zone of the current system. Cannot be changed.

time_zone​

Used to set the time zone of the current session. The time zone can affect the results of certain time functions.

tx_isolation​

Used for MySQL client compatibility. No practical usage.

use_compute_nodes​

The maximum number of CN nodes that can be used. This variable is valid when prefer_compute_node=true. Valid values:

  • -1: indicates that all CN nodes are used.
  • 0: indicates that no CN nodes are used.

use_v2_rollup​

Used to control the query to fetch data using the rollup index of the segment v2 storage format. This variable is used for validation when going online with segment v2. It is not recommended for other cases.

version (global)​

The MySQL server version returned to the client.

version_comment (global)​

The CelerData version. Cannot be changed.

wait_timeout​

Used to set the connection timeout for idle connections. When an idle connection does not interact with CelerData for that length of time, CelerData will actively disconnect the link. The default value is 8 hours, in seconds.

warehouse​

Used to set the warehouse in which the SQL in this session will be running. Default value: default_warehouse. To set a warehouse for the current session, users must be granted the USAGE privilege on the warehouse.