Snapshot Reader will have a dataInclude flag, which will determine whether initial data in whitelisted database and tables have to
read or not. In schema only mode, will not read inital data, will capture only database table schema
Added unit test for validating checks that initial data is not copied
MySQL records the timestamp with second precision in binlog events, but the library we use multiplies by 1000 to return the padded value in milliseconds (even though the value still has second precision). The BinlogReader converts this back to seconds, so the SourceInfo should not also be dividing by 1000.
Adds support for MySQL 5.7's `JSON` type, which is capable of holding JSON objects, JSON arrays, and scalar values. The Debezium MySQL connector represents `JSON` values as string with a `io.debezium.data.Json` semantic type (which is basically a string schema that has a special name to denote the semantics), and the _contents_ of that string will be the JSON representation of the object, array, or scalar value.
When a connector is originally connected to a MySQL server, it will record the GTID set that identifies the position in the binlog. When all of the interesting transactions originate on a different server (i.e., the server we're listening to is a replica), the server we're listening to will still include some transactions in the binlog (e.g., for the information schema, performance, or other internal databases), and so the GTID set will include a GTID range for our server. If we stop the connector and want to point it to a different MySQL server, asking MySQL to position the binlog using the complete GTID set (including the GTID range for our old replica) will cause an error, since the new server does not have any GTID ranges from the old replica. Therefore, the connector needs to be able to exclude some GTID ranges that originated on the original replica, using the `server_uuid` property of the replica server.
This change adds two configuration properties: `gtid.source.includes` and `gtid.source.excludes`. Both are optional, but at most only one of these can be used. These properties contain a comma-separated list of GTID sources (i.e., the `server_uuid` value for the server where the transaction originated) or regular expressions matching GTID sources, and upon connector startup the connector uses the list to filter the previously-recorded GTID set against the available GTID set in the current MySQL server. By including specific GTID sources, an administrator can control the subset of GTID ranges that govern the binlog position.
These properties will not be useful in some topologies, especially when the MySQL server from which the binlog is being read is the originating server for some of the transactions. However, these properties may be very useful in any topology where the connector is _only_ reading from replicas, so that the connector can be switched to another replica at any time. In some cases it may be easier to exclude all of the replicas' `server_uuid` values, while in other cases it may be easier to include all of the `server_uuid` values where transactions can originate.
Updated MysqlParser to return list of String for allowed enum and set values
And also added code fix to get a enum value at a particular index and for set option too.
Used debezium string utility to join list of string into deliminator seperated String.
Updating old test cases as per required to handle list of strings.
When the MySQL connector is reading the binlog, it outputs INFO log messages reporting status at an exponentially-increasing rate, starting at every 5 seconds and doubling until a max period of 1 hour. This output is useful when the connector starts to know that it is working, but thereafter the usefulness decreases. Once an hour is probably acceptable output.
This is not intended to replace the capturing of metrics, but is merely an aid to easily tell via the logs whether the connector continues to work.
Also improved the log message when the binlog reader stops to capture the total number of events recorded by Kafka Connect and the last recorded offset.
Added logic to verify that MySQL's row-level binlog is enabled, and whether it is likely that when snapshots are not performed that the binlog is likely to have been purged. Some situations will result in an error, while others are logged as warnings.
Corrected how the MySQL connector is treating columns of type `BIT(n)`, where _n_ is the number of bits in the value. When `n=1`, the resulting values are booleans; when `n>1`, the resulting values are little endian `byte[]` that have the minimum number of bytes to hold the `n` bits.
The `KafkaDatabaseHistory` was always creating a new producer whenever its `start()` method was called, even if it were called more than once. And, the `MySqlSchema` was calling `start()` twice, resulting in multiple producers being created and registered with JMX. Both issues were fixed.
Also, UUIDs were being used as the name of the JMX MBean for the producer, unless the `database.history.consumer.client.id` and `database.history.producer.client.id` properties were being explicitly set. Now, the MySQL connector will by default set the `client.id` property on both the database history's Kafka consumer and producer to `{connectorName}-dbhistory`. Of course, the `database.history.consumer.client.id` and `database.history.producer.client.id` properties can still be set to define the name of the producer and consumer.
MySQL supports "zero-value" dates and timestamps, but these cannot be represented as valid dates or timestamps using the Java types. For example, the zero-value `0000-00-00` for a date has what Java considers to be an invalid month and day-of-the-month.
This commit changes how the MySQL connector handles these values to not throw exceptions. When columns allow nulls, such values will be treated as nulls; when columns do not allow null values, these values will be converted to a "zero-value" for the corresponding Java representation (e.g., the epoch day or timestamp). A new test case verifies the behaviors.
Anytime we `toString()` a `Configuration`, any values for password properties should be masked. A password property is defined to be a property whose key ends in "password" in a case-insensitive manner.
The MongoDB connector now outputs an INFO log message whenever its task's `poll()` method returns a non-empty list of `SourceRecord` objects, where the message includes the number of records and the offset of the last record.
The MySQL connector now outputs an INFO log message whenever its task's `poll()` method returns a non-empty list of `SourceRecord` objects, where the message includes the number of records and the offset of the last record.
The MySQL connector was improperly comparing the GTID set required by the connector to the GTID set of the MySQL instance. In particular, when the GTID set of the MySQL server contained a newline character, the comparison logic failed. (This should have been fixed as part of DBZ-107.)
Added a table with data to one of the MySQL databases used in the integration tests. It verifies that the UTF-8 data stored in the table is able to be handled properly when obtaining a snapshot and reading the binlog.
The MySQL binlog events contain the binary representation of string-like values as encoded per the column's character set. Properly decoding these into Java strings requires capturing the column, table, and database character set when parsing the DDL statements.
Unfortunately, MySQL DDL allows columns (at the time the columns are created or modified) to inherit the default character set for the table, or if that is not defined the default character set for the database, or if that is not defined the character set for the server. So, in addition to modifying the MySQL DDL parser to support capturing the character set name for each column, it also had to be changed to know what these default character set names are.
The default character sets are all available via MySQL server/session/local variables. Although strictly speaking the character set variables cannot be set globally, MySQL DDL does allow session and local variables to be set with `SET` statements. Therefore, this commit enhances the MySQL DDL parser to parse `SET` statements and to track the various global, session, and local variables as seen by the DDL parser. Upon connector startup, a subset of server variables (related to character sets and collations) are read from the database via JDBC and used to initialize the DDL parser via `SET` methods.
In addition to initializing the DDL parser with the system variables related to character sets and collation, it is important to also capture the server and database default character sets in the database history so that the correct character sets are used for columns even when the default character sets have changed on the database and/or the server. Therefore, upon startup or snapshot the MySQL connector records in the database history a `SET` statement for the `character_set_server` and `collation_server` system variables so that, upon a later restart, the history's DDL statements can be re-parsed with the correct default server and database character sets. Also, when the MySQL connector reloads the database history (upon startup), the recorded default server character set is compared with the MySQL instance's current server character set, and if they are different the current character set is recorded with a new `SET` statement.
These extra steps ensure that the connector use the correct character set for each column, even when the connector restarts and reloads the database history captured by a previous version of the connector. IOW, the MySQL connector can be safely upgraded, and the new version will correctly start using the columns' character sets to decode the string-like values.
