This page describes how to enable or disable the columnar engine on an AlloyDB Omni database cluster. It also covers how to configure an appropriate initial size for its column store.
For a conceptual overview of the AlloyDB columnar engine, see AlloyDB Omni columnar engine overview.
Enable the columnar engine
To use columnar engine on an instance, set the instance's
google_columnar_engine.enabled
flag to on
.
The steps you use to set this flag on an instance depend on whether you run AlloyDB Omni in a container or on a Kubernetes cluster.
Single-server
To set the google_columnar_engine.enabled
to on
, do the following steps:
Run the
ALTER SYSTEM
PostgreSQL command:ALTER SYSTEM SET google_columnar_engine.enabled = 'on'
If you want to adjust the columnar engine's configuration, then follow the instructions in the next section before you restart the database server. Otherwise, complete the following step to restart the database server now.
For the configuration parameters change to take effect, restart your running container with AlloyDB Omni.
Docker
sudo docker restart CONTAINER_NAME
Podman
sudo podman restart CONTAINER_NAME
Kubernetes
To set the google_columnar_engine.enabled
flag to on
, modify your database cluster manifest to add the parameters
attribute to the primarySpec
section:
apiVersion: alloydbomni.dbadmin.goog/v1
kind: DBCluster
metadata:
name: CLUSTER_NAME
spec:
databaseVersion: "15.7.0"
primarySpec:
parameters:
google_columnar_engine.enabled: "on"
Replace CLUSTER_NAME
with the name of your database cluster. It is the same database cluster name you declared when you created it.
Configure the size of the column store
While the columnar engine is enabled on an instance, AlloyDB Omni allocates a portion of the instance's memory to store its columnar data. Dedicating high-speed RAM to your column store ensures that AlloyDB Omni can access the columnar data as rapidly as possible.
Memory and storage cache together represent the overall capacity of the columnar engine.
Configure memory
You can set the allocation to a fixed size using the
google_columnar_engine.memory_size_in_mb
flag.
The steps you use to configure memory of the column store for AlloyDB Omni depend on whether you run AlloyDB Omni in a container or on a Kubernetes cluster.
Single-server
To set the google_columnar_engine.memory_size_in_mb
flag on an instance, do the following:
Configure memory by running the
ALTER SYSTEM
PostgreSQL command:ALTER SYSTEM SET google_columnar_engine.memory_size_in_mb = COLUMN_MEMORY_SIZE;
Replace
COLUMN_MEMORY_SIZE
with the new size of the column storage, in megabytes—for example,256
.For the configuration parameters change to take effect, restart your running container with AlloyDB Omni.
Docker
sudo docker restart CONTAINER_NAME
Podman
sudo podman restart CONTAINER_NAME
Kubernetes
To set the google_columnar_engine.memory_size_in_mb
flag, modify your database cluster manifest to add the parameters
attribute to the primarySpec
section:
apiVersion: alloydbomni.dbadmin.goog/v1
kind: DBCluster
metadata:
name: CLUSTER_NAME
spec:
databaseVersion: "15.7.0"
primarySpec:
parameters:
google_columnar_engine.memory_size_in_mb: "COLUMN_MEMORY_SIZE"
Replace the following:
CLUSTER_NAME
: the name of your database cluster. It is the same database cluster name you declared when you created it.COLUMN_MEMORY_SIZE
: the new size of the column storage, in megabytes—for example,256
.
Configure storage cache
Before configuring storage cache, you must enable AlloyDB Omni disk cache.
The steps you use to enable storage cache for AlloyDB Omni depend on whether you run AlloyDB Omni in a container or on a Kubernetes cluster.
Single-server
Configure storage cache as follows:
ALTER SYSTEM SET google_columnar_engine.storage_cache_size = STORAGE_CACHE_SIZE;
Replace
STORAGE_CACHE_SIZE
with the size of the storage cache size you want, in megabytes. By default, 5% of the disk cache is allocated to the columnar engine. The maximum allowed value for this flag is 50% of the total disk cache or 1000 * google_columnar_engine.memory_size_in_mb whichever is minimum.For the configuration parameters change to take effect, restart your running container with AlloyDB Omni.
Docker
sudo docker restart CONTAINER_NAME
Podman
sudo podman restart CONTAINER_NAME
Kubernetes
To enable storage cache for your database, modify your database cluster manifest to add the columnarSpillToDisk
attribute to the features
section of the primarySpec
section:
apiVersion: alloydbomni.dbadmin.goog/v1
kind: DBCluster
metadata:
name: CLUSTER_NAME
spec:
databaseVersion: "15.7.0"
primarySpec:
features:
columnarSpillToDisk:
cacheSize: STORAGE_CACHE_SIZE
ultraFastCache:
cacheSize: ULTRAFAST_CACHE_SIZE
genericVolume:
storageClass: "STORAGE_CLASS_NAME"
...
Replace the following:
CLUSTER_NAME
: the name of your database cluster. It is the same database cluster name you declared when you created it.STORAGE_CACHE_SIZE
: the size of the columnar storage cache—for example,5Gi
. If you don't specify a value for this field, 5% of the disk cache gets allocated to the columnar engine by default.ULTRAFAST_CACHE_SIZE
: the size of the cache—for example,100Gi
. It must be greater thanshared_buffers
. This field is optional. If you don't specify the value of this field, AlloyDB Omni uses all space left on the disk, which applies to both AlloyDB Omni in a container and on a Kubernetes cluster. For more information about units of measure, see Memory resource units.STORAGE_CLASS_NAME
: the name of the storage class of the ultra fast cache volume—for example,local-storage
.
Enable vectorized join
The columnar engine has a vectorized join feature that can improve the performance of joins by applying vectorized processing to qualifying queries.
After you enable vectorized join, the AlloyDB query planner has the option to apply the vectorized join operator instead of the standard PostgreSQL hash join operator. The planner makes this decision by comparing the cost of executing the query using each method.
To enable vectorized join on an instance, set the instance's
google_columnar_engine.enable_vectorized_join
flag to on
.
To set this flag on an instance, run the ALTER SYSTEM
PostgreSQL command:
ALTER SYSTEM SET google_columnar_engine.enable_vectorized_join = 'on';
AlloyDB Omni allocates one thread to the vectorized join
feature by default. You can increase the number of threads available to
this feature by setting the
google_columnar_engine.vectorized_join_threads
flag to a larger value. The maximum value is cpu_count * 2
.
Manually refresh your columnar engine
By default, when the columnar engine is enabled it refreshes the column store in the background.
To manually refresh the column engine, run the following SQL query:
SELECT google_columnar_engine_refresh(relation =>'TABLE_NAME');
Replace TABLE_NAME
with the name of the table or the materialized view you
want to manually refresh.
Disable the columnar engine
To disable the columbar engine on an instance, set the google_columnar_engine.enabled
flag to off
.
The steps you use to set this flag on an instance depend on whether you run AlloyDB Omni in a container on a single server, or on a Kubernetes cluster.
Single-server
To set the google_columnar_engine.enabled
to off
, do the following steps:
ALTER SYSTEM SET google_columnar_engine.enabled = 'off'
- For the configuration parameters change to take effect, restart your running container with AlloyDB Omni.
Docker
To restart an AlloyDB Omni container, run the docker container restart
command:
sudo docker restart CONTAINER_NAME
Replace CONTAINER_NAME
with the name that you assigned
to the AlloyDB Omni container when you installed it.
Podman
To restart an AlloyDB Omni container, run the podman container start
command:
sudo podman restart CONTAINER_NAME
Replace CONTAINER_NAME
with the name that you assigned
to the AlloyDB Omni container when you installed it.
Kubernetes
To set the google_columnar_engine.enabled
flag to off
, modify your database cluster manifest to add the parameters
attribute to the primarySpec
section:
apiVersion: alloydbomni.dbadmin.goog/v1
kind: DBCluster
metadata:
name: CLUSTER_NAME
spec:
databaseVersion: "15.7.0"
primarySpec:
parameters:
google_columnar_engine.enabled: "off"
Replace CLUSTER_NAME
with the name of your database cluster. It is the same database cluster name you declared when you created it.
Troubleshoot the columnar engine
Fix the insufficient shared memory
error
If you run AlloyDB Omni without enough shared memory for the columnar engine to use, then you might see this error:
Insufficient shared memory for generating the columnar formats.
You can address this issue by specifying the amount of shared memory that is available to the AlloyDB Omni container. The way that you do this differs depending upon your host operating system.
Linux
Increase the size of your host machine's /dev/shm
partition, using a technique such as editing your /etc/fstab
file.
macOS
Install a new AlloyDB Omni container,
specifying a larger shared-memory value for the --shm-size
flag.
Fix columns not getting populated
If columns don't populate in the columnar engine, then one of the following might be true:
The columns you want to add include an unsupported data type.
The requirements of the columnar engine aren't being met.
To troubleshoot this issue, try the following:
- Confirm that the tables or materialized views in the query are in the columnar engine.
- Verify the usage of the columnar engine using the
EXPLAIN
statement.
What's next
Work through the Accelerating analytical queries with columnar engine in AlloyDB Omni Google CodeLab tutorial.