taherk77 commented on a change in pull request #917: [HUDI-251] JDBC
incremental load to HUDI with DeltaStreamer
URL: https://github.com/apache/incubator-hudi/pull/917#discussion_r329909616
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File path:
hudi-utilities/src/main/java/org/apache/hudi/utilities/sources/JDBCSource.java
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@@ -0,0 +1,233 @@
+package org.apache.hudi.utilities.sources;
+
+import java.util.Arrays;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FSDataInputStream;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IOUtils;
+import org.apache.hudi.DataSourceUtils;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.common.util.StringUtils;
+import org.apache.hudi.common.util.TypedProperties;
+import org.apache.hudi.common.util.collection.Pair;
+import org.apache.hudi.exception.HoodieException;
+import org.apache.hudi.utilities.schema.SchemaProvider;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Column;
+import org.apache.spark.sql.DataFrameReader;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.SparkSession;
+import org.apache.spark.sql.functions;
+import org.apache.spark.sql.types.DataTypes;
+import org.jetbrains.annotations.NotNull;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+public class JDBCSource extends RowSource {
+
+ private static Logger LOG = LoggerFactory.getLogger(JDBCSource.class);
+
+ private final String ppdQuery = "(select * from %s where %s >= \" %s \")
rdbms_table";
+
+
+ public JDBCSource(TypedProperties props, JavaSparkContext sparkContext,
SparkSession sparkSession,
+ SchemaProvider schemaProvider) {
+ super(props, sparkContext, sparkSession, schemaProvider);
+ }
+
+ private static DataFrameReader validatePropsAndGetDataFrameReader(final
SparkSession session,
+ final TypedProperties properties)
+ throws HoodieException {
+ FSDataInputStream passwordFileStream = null;
+ try {
+ DataFrameReader dataFrameReader = session.read().format("jdbc");
+ dataFrameReader = dataFrameReader.option(Config.URL_PROP,
properties.getString(Config.URL));
+ dataFrameReader = dataFrameReader.option(Config.USER_PROP,
properties.getString(Config.USER));
+ dataFrameReader = dataFrameReader.option(Config.DRIVER_PROP,
properties.getString(Config.DRIVER_CLASS));
+ dataFrameReader = dataFrameReader
+ .option(Config.RDBMS_TABLE_PROP,
properties.getString(Config.RDBMS_TABLE_NAME));
+
+ if (!properties.containsKey(Config.PASSWORD)) {
+ if (properties.containsKey(Config.PASSWORD_FILE)) {
+ if
(!StringUtils.isNullOrEmpty(properties.getString(Config.PASSWORD_FILE))) {
+ LOG.info("Reading password for password file {}",
properties.getString(Config.PASSWORD_FILE));
+ FileSystem fileSystem = FileSystem.get(new Configuration());
+ passwordFileStream = fileSystem.open(new
Path(properties.getString(Config.PASSWORD_FILE)));
+ byte[] bytes = new byte[passwordFileStream.available()];
+ passwordFileStream.read(bytes);
+ dataFrameReader = dataFrameReader.option(Config.PASSWORD_PROP, new
String(bytes));
+ } else {
+ throw new IllegalArgumentException(
+ String.format("%s property cannot be null or empty",
Config.PASSWORD_FILE));
+ }
+ } else {
+ throw new IllegalArgumentException(String.format("JDBCSource needs
either a %s or %s to connect to RDBMS "
+ + "datasource", Config.PASSWORD_FILE, Config.PASSWORD));
+ }
+ } else if
(!StringUtils.isNullOrEmpty(properties.getString(Config.PASSWORD))) {
+ dataFrameReader = dataFrameReader.option(Config.PASSWORD_PROP,
properties.getString(Config.PASSWORD));
+ } else {
+ throw new IllegalArgumentException(String.format("%s cannot be null or
empty. ", Config.PASSWORD));
+ }
+ if (properties.containsKey(Config.EXTRA_OPTIONS)) {
Review comment:
The extra.options is for adding some properties for jdbc pulls. so lets say
use writes the below spark code.
```val df1 = spark.read.format("jdbc")
.option("url", jdbcUrl)
.option("dbtable", "datetimePartitionTest")
.option("partitionColumn", "d")
.option("lowerBound", "2018-07-06")
.option("upperBound", "2018-07-20")
.option("numPartitions", 3)
.option("timestampFormat", "MM/dd/yyyy h:mm:ss a")
.option("oracle.jdbc.mapDateToTimestamp", "false")
.option("sessionInitStatement", "ALTER SESSION SET NLS_DATE_FORMAT =
'YYYY-MM-DD'")
.load()
```
Now how do we let the user express the same with a properties file? We use
extra.options
`hoodie.datasource.jdbc.extra.options="
fetchsize=1000,
timestampFormat=MM/dd/yyyy h:mm:ss a,
oracle.jdbc.mapDateToTimestamp=false,
sessionInitStatement="ALTER SESSION SET NLS_DATE_FORMAT = 'YYYY-MM-DD'"`
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