Sharding

This section describes ways of sharding dynamic tables. A description of the automatic sharding algorithm is given.

Dynamic tables are divided into tablets and a tablet is a unit of concurrency. . To distribute the load evenly, use the standard method: add an auxiliary key column to the front of the table that contains the hash of the part of the key to perform sharding for (for example, the hash from the first column). The result is a table whose keys are evenly distributed in the [0, 2^64-1] range.

To split such a table into k tablets, it is sufficient to split the [0, 2^64-1] range into k parts.

The value of the key column can be calculated on the client side and transmitted when writing to the table, but computed columns can be used as an alternative.

Computed columns

The YTsaurus system supports the feature that automatically calculates the value of a key column using a formula. You must specify this formula in the schema of this column in the expression field. The key column can only depend on non-calculated key columns. When writing a row or searching for a row by key, the computed columns must be skipped.

For even distribution, better specify "expression" = "farm_hash(key)" where key is the prefix of the source key (farm_hash is a built-in function that calculates FarmHash from arguments).

When using automatically computed columns, consider that the select_rows operation infers the range of affected keys out of the predicate to optimize performance. If some of the values of the computed columns are not specified explicitly in the predicate, YTsaurus will try to supplement the condition with the value of the computed columns. In the current implementation, the result will be successful if those columns on which the calculated one depends are defined in the predicate by an equality or using the IN operator. Calculation of the explicitly specified values of the computed columns in the range output does not take place.

Example of using compucolumns

Let's assume there is a table with hash, key, value columns, hash and key are key columns, and the expression = "farm_hash(key)" formula is specified in the schema for hash. Then for insert, delete, and read operations by key, you only need to specify key and value. In order for the select_rows operation to work efficiently, key must be exactly specified in the predicate so that the YTsaurus system can calculate which hash values to consider. For example, you can specify WHERE key = key_value or WHERE key IN (key_value1, key_value2) in the query.

If you specify WHERE key > key_lower_bound and key < key_upper_bound, the range for hash cannot be inferred. In some cases, enumeration of the values of the computed columns is possible. Enumeration occurs in the following cases:

1. The expression of the computed column is expression = "f(key / divisor)" where key and divisor are integers. In this case, all such key values are enumerated and they generate different expression values. This behavior is generalized in case there are multiple computed columns and multiple key occurrences with different divisors.
2. The expression is expression = "f(key) % mod". In this case, the expression values within the mod value are enumerated, and the null value is also included in the enumeration.

If both enumeration methods can be applied, the one that generates the least number of values is chosen. The total number of keys generated by the enumeration is limited by the range_expansion_limit parameter.

Automatic sharding

Sharding is needed to distribute the load evenly across the cluster. Automatic sharding includes:

1. Table sharding.
2. Redistributing tablets between tablet cells.

Sharding is needed for the table tablets to become approximately of the same size. Redistributing between tablet cells is needed for tablet cells to have an approximately equal amount of data. This is especially important for in-memory tables (with @in_memory_mode other than none), because the cluster memory is a very limited resource and some cluster nodes may become overloaded if the distribution fails.

You can configure balancing both on a per-table basis and for each tablet cell bundle.

A list of available bundle settings is available at //sys/tablet_cell_bundles/<bundle_name>/@tablet_balancer_config and represented in the table.

Name	Type	Default value	Description
min_tablet_size	int	128 MB	Minimum tablet size
desired_tablet_size	int	10 GB	Desired tablet size
max_tablet_size	int	20 GB	Maximum tablet size
min_in_memory_tablet_size	int	512 MB	Minimum in-memory table tablet size
desired_in_memory_tablet_size	int	1 GB	Desired in-memory table tablet size
max_in_memory_tablet_size	int	2 GB	Maximum in-memory table tablet size
enable_tablet_size_balancer	boolean	%true	Enabling/disabling sharding
enable_in_memory_cell_balancer	boolean	%true	Enabling/disabling moving in-memory tablets between cells
enable_cell_balancer	boolean	%false	Enabling/disabling moving not-in-memory tablets between cells

A list of available table settings (//path/to/table/@tablet_balancer_config) is given in the table:

Name	Type	Default value	Description
enable_auto_reshard	boolean	%true	Enabling/disabling sharding
enable_auto_tablet_move	boolean	%true	Enabling/disabling moving table tablets between cells
min_tablet_size	int	-	Minimum tablet size
desired_tablet_size	int	-	Desired tablet size
max_tablet_size	int	-	Maximum tablet size
desired_tablet_count	int	-	Desired number of tablets
min_tablet_count	int	-	Minimum number of tablets (see explanation in the text)

If the desired_tablet_count parameter is specified in the table settings, the balancer will attempt to shard the table by the specified number of tablets. Otherwise, if all three min_tablet_size, desired_tablet_size, and max_tablet_size parameters are specified in the table settings and their values are allowable (i.e. min_tablet_size < desired_tablet_size < max_tablet_size is true), the values of the specified parameters will be used instead of the default settings. Otherwise, the tablet cell bundle settings will be used.

The automatic sharding algorithm is as follows: the background process monitors the mounted tablets and as soon as it detects a tablet smaller than min_tablet_size or larger than max_tablet_size, it tries to bring it to desired_tablet_size, possibly affecting adjacent tablets. If the desired_tablet_count parameter is specified, the custom table size settings will be ignored and values will be calculated based on table size and desired_tablet_count.

If the min_tablet_count parameter is set, the balancer will not combine tablets if the resulting number of tablets is less than the limit. However, this option does not guarantee that the balancer will increase the number tablets if there are fewer now: if you use it, you need to pre-shard the table by the desired number of tablets yourself.

Disabling automatic sharding:

On the table:

• yt set //path/to/table/@tablet_balancer_config/enable_auto_reshard %false: Disable sharding.
• yt set //path/to/table/@tablet_balancer_config/enable_auto_tablet_move %false: Disable moving tablets between cells.

On the tablet cell bundle:

• yt set //sys/tablet_cell_bundles//@tablet_balancer_config/enable_tablet_size_balancer %false: Disable sharding.
• yt set //sys/tablet_cell_bundles//@tablet_balancer_config/enable_{in_memory_,}cell_balancer %false: Disable moving between in_memory/not-in_memory tablet cells.

Automatic sharding schedule

Sharding will inevitably unmount some of the tablets. To make the process more predictable, you can set up the balancer schedule. The setting can be per-cluster and per-bundle. The bundle schedule is in the //sys/tablet_cell_bundles//@tablet_balancer_config/tablet_balancer_schedule attribute. Any arithmetic formula from the hours and minutes integer variables can be specified as a format. The bundle table balancing will only occur when the formula value is true (i.e. different from zero).

The background balancing process runs once every few minutes, so you should expect that the tablets can be in the unmounted state for 10 minutes after the formula becomes true.

Examples:

• minutes % 20 == 0: Balancing at the 0th, 20th, and 40th minute of each hour.
• hours % 2 == 0 && minutes == 30: Balancing at 00:30, 02:30, ...

If no attribute value is specified for the bundle, the default value for the cluster is used. Example of a cluster-level balancing setup is shown in Table 3.

Cluster	Schedule
first-cluster	(hours * 60 + minutes) % 40 == 0
second-cluster	(hours * 60 + minutes) % 40 == 10
third-cluster	(hours * 60 + minutes) % 40 == 20