Closed ssaurav-redhat closed 4 months ago
@Abacn is this expected?
I'm facing this error using Spark Runner. The field id is also a String:
Exception in thread "main" java.lang.NullPointerException: readWithPartitions only supports the following types: [class java.lang.Long, class org.joda.time.DateTime] at org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkNotNull(Preconditions.java:1010) at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadWithPartitions.expand(JdbcIO.java:1355) at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadWithPartitions.expand(JdbcIO.java:1189)
public static JdbcIO.ReadWithPartitions<TableDB, String> generateTableWithPartition(JdbcIO.DataSourceConfiguration ds) { return JdbcIO.<TableDB, String>readWithPartitions(TypeDescriptor.of(String.class)) .withDataSourceConfiguration(ds) .withTable("table") .withPartitionColumn("id") .withRowMapper(new RowMapperGenerator.CreateTableSource()); }
I had took a look into here and line 492 defines public static final Map<Class<?>, JdbcReadWithPartitionsHelper<?>> PRESET_HELPERS
, which includes the types that the partition can actually handle. The only class types defined there are Long and DateTime, not the String...
However the documentation says explicitly that it can handle the type String in here at line 120!
Read the code, as early as when this documentation was entered #15848, it never supported String type as partition type.
Thanks Abacn! Sad it's not implemented, but at least now I know why.
dup #27120
What happened?
Referencing JdbcIo's doc in the section for Parallel reading from a JDBC datasource, It mentions to use either of these types of column for paritioning
Beam supports partitioned reading of all data from a table. Automatic partitioning is supported for a few data types: Long, [DateTime](https://static.javadoc.io/joda-time/joda-time/2.10.10/org/joda/time/DateTime.html?is-external=true), String.
But when I am passing a string field into it, it tries to convert it into Long. As a result the code fails. Can anyone help me with this?
Beam version -> 2.56.0 JdbcIo version -> 2.56.0
Code
PCollection<LogTable> dbReadData = p.apply("ReadFromMySQL", JdbcIO.<LogTable>readWithPartitions() .withDataSourceConfiguration(JdbcIO.DataSourceConfiguration.create( "com.mysql.cj.jdbc.Driver", "jdbc:mysql://localhost:3307/exampledb") .withUsername("exampleuser") .withPassword("examplepass")) .withTable("logs_table") .withCoder(SerializableCoder.of(LogTable.class)) .withPartitionColumn("uuid") .withRowMapper(new JdbcIO.RowMapper<LogTable>() { @Override public LogTable mapRow(ResultSet resultSet) throws Exception { String uuid = resultSet.getString("uuid"); Timestamp time = resultSet.getTimestamp("time"); return new LogTable(uuid, time); } }));
table structure ->
CREATE TABLE
logs_table(
uuidvarchar(255) NOT NULL,
timetimestamp NOT NULL )
Runner used was Flink Runner
Issue Priority
Priority: 3 (minor)
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