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[GLUTEN-7267][CH]Support nested column pruning for HiveTableScan json/parquet/orc format #7268

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@KevinyhZou KevinyhZou commented Sep 18, 2024

What changes were proposed in this pull request?

(Please fill in changes proposed in this fix)

(Fixes: #7267)

How was this patch tested?

BY UT

@KevinyhZou KevinyhZou marked this pull request as draft September 18, 2024 12:35
@github-actions github-actions bot added CORE works for Gluten Core CLICKHOUSE labels Sep 18, 2024
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#7267

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@KevinyhZou KevinyhZou changed the title [GLUTEN-7267][CH]Support nested column pruning for HiveTableScan json format [GLUTEN-7267][CH]Support nested column pruning for HiveTableScan json format Sep 18, 2024
@KevinyhZou KevinyhZou force-pushed the support_nested_project_push_down_json branch from 5ba3026 to 4c202a6 Compare September 19, 2024 07:08
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@KevinyhZou KevinyhZou changed the title [GLUTEN-7267][CH]Support nested column pruning for HiveTableScan json format [GLUTEN-7267][CH]Support nested column pruning for HiveTableScan json/parquet/orc format Sep 26, 2024
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@KevinyhZou KevinyhZou marked this pull request as ready for review September 26, 2024 06:33
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"select id, d1.c, d1.d[0].x, d2.d['m124'].y from %s where day = '2024-09-26' and hour = '12'"
.format(pq_table_name)
withSQLConf(
("spark.sql.hive.convertMetastoreParquet" -> "false"),
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这俩orc和parquet的开关在什么使用场景下是false呢

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当需要使用hive parquet/orc serde 读取 table 时,而不是使用spark内置的parquet/orc reader读取时,这两个配置就需要被设置为false @taiyang-li

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性能测试

表schema:test_tbl (a STRING, b STRUCT<x1: STRING, x2: STRING, x3: STRING, x4: STRING, x5: STRING>)
测试sql: select count(b.x1) from test_tbl
数据量:1200W行
分别使用json/parquet/orc 三种测试存放数据,测试 该SQL查询的端到端耗时情况

优化前 平均耗时:
json格式: 16.52s
parquet耗时:2.02s
orc耗时:1.25s

优化后 平均耗时:
json格式:12.71s
parquet耗时: 0.63s
orc耗时:0.36s

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[CH] Support nested colum pruning for HiveTableScanExec
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