Presto Verifier
Presto Verifier is a tool to run queries and verify correctness. It can be used to test whether a new Presto version produces the correct query results, or to test if pairs of Presto queries have the same semantics.
During each Presto release, Verifier is run to ensure that there is no correctness regression.
Using Verifier
In a MySQL database, create the following table and load it with the queries you would like to run:
CREATE TABLE verifier_queries (
id int(11) unsigned NOT NULL PRIMARY KEY AUTO_INCREMENT,
suite varchar(256) NOT NULL,
name varchar(256) DEFAULT NULL,
control_catalog varchar(256) NOT NULL,
control_schema varchar(256) NOT NULL,
control_query text NOT NULL,
control_username varchar(256) DEFAULT NULL,
control_password varchar(256) DEFAULT NULL,
control_session_properties text DEFAULT NULL,
test_catalog varchar(256) NOT NULL,
test_schema varchar(256) NOT NULL,
test_query text NOT NULL,
test_username varchar(256) DEFAULT NULL,
test_password varchar(256) DEFAULT NULL,
test_session_properties text DEFAULT NULL)
Next, create a config.properties
file:
source-query.suites=suite
source-query.database=jdbc:mysql://localhost:3306/mydb?user=my_username&password=my_password
control.hosts=127.0.0.1
control.http-port=8080
control.jdbc-port=8080
control.application-name=verifier-test
test.hosts=127.0.0.1
test.http-port=8081
test.jdbc-port=8081
test.application-name=verifier-test
test-id=1
Verifier can run in either query-bank
or control-test
mode by setting configuration running-mode
.
control-test
: this is the default mode. Both the control query and the test query are executed and their result checksums are compared.query-bank
: in this mode, the control query is skipped and the comparison is done between a saved snapshot result and the test result.
Create a verifier_snapshots
table:
CREATE TABLE verifier_snapshots (
id int(11) unsigned NOT NULL PRIMARY KEY AUTO_INCREMENT,
suite varchar(256) NOT NULL,
name varchar(256) NOT NULL DEFAULT '.',
is_explain BOOLEAN NOT NULL DEFAULT false,
snapshot json NOT NULL,
updated_at datetime NOT NULL DEFAULT now(),
UNIQUE(suite, name, is_explain));
Download presto-verifier-0.289-executable.jar and rename it to verifier.jar
. To run the Verifier:
java -Xmx1G -jar verifier.jar verify config.properties
Before running in query-bank
mode, snapshots must be saved. Add configurations:
running-mode=query-bank
save-snapshot=true
Run the verifier and the snapshots will be saved to the table verifier_snapshots
.
To run in query-bank
mode, set save-snapshot=false
or just delete it:
running-mode=query-bank
#save-snapshot=true
Verifier Procedures
The following steps summarize the workflow of Verifier.
Importing Source Queries
- Reads the list of source queries (query pairs with configuration) from the MySQL table.
Query Pre-processing and Filtering
Applies overrides to the catalog, schema, username, and password of each query.
Filters queries according to whitelist and blacklist. Whitelist is applied before blacklist.
Filters out queries with invalid syntax.
Filters out queries not supported for validation.
Select
,Insert
,CreateTableAsSelect
,create table
andcreate view
are supported.
Query rewriting
Rewrites queries before execution to ensure that production data is not modified.
Rewrites
Select
queries toCreateTableAsSelect
Column names are determined by running the
Select
query withLIMIT 0
.Artificial names are used for unnamed columns.
- Rewrites `Insert` and `CreateTableAsSelect` queries to have their table names replaced.
- Constructs a setup query to create the table necessary for an `Insert` query.
- Rewrites function calls according to `nondeterministic-function-substitutes` if the configuration is set.
Query Execution
Conceptually, Verifier is configured with a control cluster and a test cluster. However, they may be pointed to the same Presto cluster for certain tests. In
Query-bank
mode, the control cluster is skipped and a saved snapshot is used instead.For each source query, executes the following queries in order.
Control setup queries
Control query
Test setup queries
Test query
Control and test teardown queries
- Queries are subject to timeouts and retries.
- Cluster connection failures and transient Presto failures are retried.
- Query retries may conceal reliability issues, and therefore Verifier records all occurred Presto query failures, including the retries.
- Certain query failures are automatically submitted for re-validation, such as partition dropped or table dropped during query.
- See [Failure Resolution](#failure-resolution) for auto-resolving of query failures.
Results Comparison
For
Select
,Insert
, andCreateTableAsSelect
queries, results are written into temporary tables.Constructs and runs the checksum queries for both control and test. If running in
query-bank
mode, Control checksums will be restored from snapshots saved inmysql
database.Control checksums will be saved to
mysql
database if configurationsave-snapshot
is set totrue
.Verifies table schema and row count are the same for the control and the test result table.
Verifies checksums are matching for each column. See Column Checksums for special handling of different column types.
See Determinism for handling of non-deterministic queries.
Emitting Results
- Verification results can be exported as
JSON
, or human readable text.
- Verification results can be exported as
Column Checksums
For each column in the control/test query, one or more columns are generated in the checksum queries.
Floating Point Columns
For
DOUBLE
andREAL
columns, 4 columns are generated for verification:Sum of the finite values of the column
NAN
count of the columnPositive infinity count of the column
Negative infinity count of the column
Checks if
NAN
count, positive and negative infinity count matches.Checks the nullity of control sum and test sum.
If either control mean or test mean very close 0, checks if both are close to 0.
Checks the relative error between control sum and test sum.
VARCHAR Columns
For
VARCHAR
columns, a simple checksum column is generated for verification using thechecksum()
.If
validate-string-as-double
is set, seven columns below are generated. IfNULL
counts are equal before and after casting all values toDOUBLE
, apply the floating point validation. Otherwise, check if the simple checksum matches.Checksum
Count of the
NULL
valuesCount of the
NULL
values after all values are casted toDOUBLE
After casting all values to
DOUBLE
Sum of the finite values
NAN
count of the valuesPositive infinity count of the values
Negative infinity count of the values
Array Columns
For an array column
arr
of typearray(E)
, three columns are generated for verification:Sum of the cardinality
Checksum of the cardinality
Array checksum
If
E
is not orderable, array checksum ischecksum(arr)
.If
E
is orderable, array checksum iscoalesce(checksum(try(array_sort(arr))), checksum(arr))
.
- If `use-error-margin-for-floating-point-arrays` is set and E is `DOUBLE` or `REAL`, these six columns below are generated instead. Check if the sum of the cardinality matches and if the checksum of the cardinality matches. Apply the floating point validation to the rest of results.
- Sum of the cardinality
- Checksum of the cardinality
- Sum of the finite elements of all array values
- Count of the `NAN` elements of all array values
- Count of the positive infinity elements of all array values
- Count of the negative infinity elements of all array values
- If `validate-string-as-double` is set and E is `VARCHAR`, these nine columns below are generated instead. Check if the sum and the checksum of the cardinality match. If `NULL` counts are equal before and after casting all array elements to `DOUBLE`, apply the floating point validation. Otherwise, check if the array checksum matches.
- Sum of the cardinality
- Checksum of the cardinality
- Array checksum `checksum(array_sort(arr))`
- Count of the `NULL` elements of all array values
- Count of the `NULL` elements after all array elements are casted to `DOUBLE`
After casting all array elements to `DOUBLE`
- Sum of the finite elements of all array values
- Count of the `NAN` elements of all array values
- Count of the positive infinity elements of all array values
- Count of the negative infinity elements of all array values
Map Columns
For a map column of type
map(K, V)
, four columns are generated for verification:Sum of the cardinality
Checksum of the map
Array checksum of the key set
Array checksum of the value set
- If `validate-string-as-double` is set and K is `VARCHAR`, six additional columns are generated:
- Count of the `NULL` elements of all key sets
- Count of the `NULL` elements of the key sets after all map keys are casted to `DOUBLE`
After casting all map keys to `DOUBLE`
- Sum of the finite elements of all key sets
- Count of the `NAN` elements of all key sets
- Count of the positive infinity elements of all key sets
- Count of the negative infinity elements of all key sets
- If `validate-string-as-double` is set and V is `VARCHAR`, six additional columns are generated:
- Count of the `NULL` elements of all value sets
- Count of the `NULL` elements of the value sets after all map values are casted to `DOUBLE`
After casting all map values to `DOUBLE`
- Sum of the finite elements of all value sets
- Count of the `NAN` elements of all value sets
- Count of the positive infinity elements of all value sets
- Count of the negative infinity elements of all value sets
Row Columns
- Checksums row fields recursively according to the type of the fields.
For all other column types, generates a simple checksum using the checksum()
function.
Determinism
A result mismatch, either a row count mismatch or a column mismatch, can be caused by non-deterministic query features. To avoid false alerts, we perform determinism analysis for the control query. If a query is found non-deterministic, we skip the verification as it does not provide insights.
Determinism analysis follows the following steps. If a query is found non-deterministic at any point, the analysis will conclude.
Non-deterministic catalogs can be specified with
determinism.non-deterministic-catalog
. If a query references any table from those catalogs, the query is considered non-deterministic.Runs the control query again and compares the results with the initial control query run.
If a query has a
LIMIT n
clause but noORDER BY
clause at the top level:Runs a query to count the number of rows produced by the control query without the
LIMIT
clause.If the resulting row count is greater than
n
, treats the control query as non-deterministic.
Failure Resolution
The differences in configuration, including cluster size, can cause a query to succeed on the control cluster but fail on the test cluster. A checksum query can also fail, which may be due to limitation of Presto or Presto Verifier. Thus, we allow Verifier to automatically resolve certain query failures.
EXCEEDED_GLOBAL_MEMORY_LIMIT
: Resolves if the control query uses more memory than the test query.EXCEEDED_TIME_LIMIT
: Resolves unconditionally.TOO_MANY_HIVE_PARTITIONS
: Resolves if the test cluster does not have enough workers to make sure the number of partitions assigned to each worker stays within the limit.COMPILER_ERROR
,GENERATED_BYTECODE_TOO_LARGE
: Resolves if the control checksum query fails with this error. If the control query has too many columns, generated checksum queries might be too large in certain cases.
In cases of result mismatches, Verifier may be giving noisy signals, and we allow Verifier to automatically resolve certain mismatches.
Structured-typed Columns: If array element or map key/value contains floating point types, column checksum is unlikely to match.
For an array column, resolve if the element type contains floating point types and the cardinality checksum matches.
For a map column, resolve the mismatch when both of the following conditions are true:
The cardinality checksum matches.
The checksum of the key or value that does not contains floating point types matches.
Resolve a test case only when all columns are resolved.
Resolved Functions: In the case of a results mismatch, if the query uses a function in a
specified list, the test case is marked as resolved.
Explain Mode
In explain mode, Verifier checks whether source queries can be explained instead of whether they produces the same results. Verification is marked as succeeded when both control query and test query can be explained.
The field matchType
in the output event can be used as an indicator whether there are plan differences between the control run and the test run.
For non-DML queries, the control query and the plan comparison are skipped.
Extending Verifier
Verifier can be extended for further behavioral changes in addition to configuration properties.
AbstractVerifyCommand shows the components that be extended. Implement the abstract class and create a command line wrapper similar to PrestoVerifier.
Configuration Reference
General Configuration
Name | Description |
---|---|
| A comma-separated list specifying the names of the queries within the suite to verify. |
| A comma-separated list specifying the names of the queries to be excluded from the suite. |
| The name of the source query supplier. Supports |
| The name of the table that holds verifier queries. Available only when |
| A comma-separated list specifying where the output events should be emitted. Supports |
| The output files of |
| The output files for human-readable events. If not set, human-readable events are emitted to |
| The table prefix to be appended to the control target table. |
| The table prefix to be appended to the test target table. |
| If |
| If |
| A string to be attached to output events. |
| Maximum number of concurrent verifications. |
| How many times a suite is verified. |
| How many times a source query is verified. |
| Maximum tolerable relative error between control sum and test sum of a floating point column. |
| Floating point averages that are below this threshold are treated as |
| Whether to run teardown query in case of result mismatch. |
| A limit on how many times a source query can be re-submitted for verification. |
| Set to |
| Set to |
| Set to |
| Specification of function substitutions, in the format of Concatenate function substitutions with a comma. Select a function substitute that has the return type and argument types compatible with those of the original function, to produce a valid source query. For example, Declare the function arguments as identifiers if they need to be applied to the function substitute. |
Query Override Configuration
The following configurations control the behavior of query metadata modification before verification starts. Counterparts are also available for test queries with prefix control
being replaced with test
.
Name | Description |
---|---|
| The catalog to be applied to all queries if specified. |
| The schema to be applied to all queries if specified. |
| The username to be applied to all queries if specified. |
| The password to be applied to all queries if specified. |
| Supports 3 values. |
| The session property to be applied to all queries. |
Query Execution Configuration
The following configurations control the behavior of query execution on the control cluster. Counterparts are also available for test clusters with prefix control
being replaced with test
.
Name | Description |
---|---|
| Comma-separated list of the control cluster hostnames or IP addresses. |
| JDBC port of the control cluster. |
| HTTP port of the control cluster. |
| A |
| The execution time limit of the control and the test queries. |
| The execution time limit of |
| The execution time limit of checksum queries. |
| ApplicationName to be passed in ClientInfo. Can be used to set source. |
Determinism Analyzer Configuration
Name | Description |
---|---|
| Whether to run teardown queries for tables produced in determinism analysis. |
| Maximum number of additional control runs to check for the determinism of the control query. |
| Whether to enable the special handling for queries with a top level |
| A comma-separated list of non-deterministic catalogs. Queries referencing table from those catalogs are treated as non-deterministic. |
Failure Resolution Configuration
Name | Description |
---|---|
| Whether to enable the failure resolver for test query failures with |
| Whether to enable the failure resolver for test query failures with |
| Whether to enable the failure resolver for failures due to Verifier limitations. |
| Whether to enable the failure resolver for test query failures with |
| The maximum buckets count per writer configured on the control and the test cluster. |
| The time limit of the test cluster size being cached. |
| Whether to enable the failure resolver for column mismatches of structured-type columns. |
| Whether to enable the |
| A comma-separated list of functions. Resolves mismatches if a query uses any functions in the list. |