spark-instrumented-optimizer/unsafe
Davies Liu c4da5345a0 [SPARK-10990] [SPARK-11018] [SQL] improve unrolling of complex types
This PR improve the unrolling and read of complex types in columnar cache:
1) Using UnsafeProjection to do serialization of complex types, so they will not be serialized three times (two for actualSize)
2) Copy the bytes from UnsafeRow/UnsafeArrayData to ByteBuffer directly, avoiding the immediate byte[]
3) Using the underlying array in ByteBuffer to create UTF8String/UnsafeRow/UnsafeArrayData without copy.

Combine these optimizations,  we can reduce the unrolling time from 25s to 21s (20% less), reduce the scanning time from 3.5s to 2.5s (28% less).

```
df = sqlContext.read.parquet(path)
t = time.time()
df.cache()
df.count()
print 'unrolling', time.time() - t

for i in range(10):
    t = time.time()
    print df.select("*")._jdf.queryExecution().toRdd().count()
    print time.time() - t
```

The schema is
```
root
 |-- a: struct (nullable = true)
 |    |-- b: long (nullable = true)
 |    |-- c: string (nullable = true)
 |-- d: array (nullable = true)
 |    |-- element: long (containsNull = true)
 |-- e: map (nullable = true)
 |    |-- key: long
 |    |-- value: string (valueContainsNull = true)
```

Now the columnar cache depends on that UnsafeProjection support all the data types (including UDT), this PR also fix that.

Author: Davies Liu <davies@databricks.com>

Closes #9016 from davies/complex2.
2015-10-12 21:12:59 -07:00
..
src [SPARK-10990] [SPARK-11018] [SQL] improve unrolling of complex types 2015-10-12 21:12:59 -07:00
pom.xml [SPARK-10300] [BUILD] [TESTS] Add support for test tags in run-tests.py. 2015-10-07 14:11:21 -07:00